# edge ai

Published articles for edge ai.

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## CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding)

DevFeed: [CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding)](<https://devfeed.tech/articles/cvitek-cv1842h-p-based-edge-ai-camera-module-offers-night-vision-and-ai-isp-support-crowdfunding-27005.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/16/cvitek-cv1842h-p-based-edge-ai-camera-module-offers-night-vision-and-ai-isp-support/>)

Author: Debashis Das

Published: 2026-09-16T00:00:55Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [AI Inference](<https://devfeed.tech/topics/ai-inference.md>), [V](<https://devfeed.tech/topics/v.md>), [Arm](<https://devfeed.tech/topics/arm.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Ethernet](<https://devfeed.tech/topics/ethernet.md>), [Linux](<https://devfeed.tech/topics/linux.md>), [Toit](<https://devfeed.tech/topics/toit.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [arm](<https://devfeed.tech/tags/arm.md>), [artificial-intelligence-ai](<https://devfeed.tech/tags/artificial-intelligence-ai.md>), [camera](<https://devfeed.tech/tags/camera.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [debug](<https://devfeed.tech/tags/debug.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [embedded](<https://devfeed.tech/tags/embedded.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [inference](<https://devfeed.tech/tags/inference.md>), [kickstarter](<https://devfeed.tech/tags/kickstarter.md>), [linux](<https://devfeed.tech/tags/linux.md>), [module](<https://devfeed.tech/tags/module.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [risc-v](<https://devfeed.tech/tags/risc-v.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [rt-thread](<https://devfeed.tech/tags/rt-thread.md>), [soc](<https://devfeed.tech/tags/soc.md>), [sophgo](<https://devfeed.tech/tags/sophgo.md>), [tinyml](<https://devfeed.tech/tags/tinyml.md>), [usb](<https://devfeed.tech/tags/usb.md>), [video](<https://devfeed.tech/tags/video.md>), [vision](<https://devfeed.tech/tags/vision.md>)

### AI overview

The AIMORELOGY Ovis is an open-source modular AI vision camera built around the CVITEK CV1842H-P SoC. It provides full-color 1080p night vision, 1.5 TOPS edge AI inference, USB and Ethernet connectivity, and a dual-OS environment using Linux and RT-Thread.

### Source excerpt

The AIMORELOGY Ovis is an open-source AI vision camera module built around the CVITEK CV1842H-P SoC, with full-color 1080p night vision and 1.5 TOPS edge AI inference in a compact modular design. It is designed for drones, robotics, security systems, smart cameras, and custom embedded vision products. The camera features a compact stacked design, with a 20 x 20 mm Core board that includes the CVITEK CV1842H-P SoC, 2 Gbit NAND flash, USB, and UART debug pads. A Sensor board with the SC235HAI image sensor connects on top and also adds Ethernet and UART interfaces. An optional CVBS board goes between the Sensor board and the Ovis Core board. AIMORELOGY Ovis specifications: Ovis Core Board SoC - CVITEK CV1842H-P CPU - 1x Arm Cortex-A53 core @ 1.1 GHz, 1x RISC-V C906 core @ 800 MHz NPU - 1.5 TOPS @ INT8 with BF16 support ISP - AI-ISP with real-time 1080p [...] The post CVITEK CV1842H-P-based edge AI camera module offers night vision and AI-ISP support (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

## MYWAI ports its VILMA visual imitation learning toolkit to Arduino UNO Q and VENTUNO Q

DevFeed: [MYWAI ports its VILMA visual imitation learning toolkit to Arduino UNO Q and VENTUNO Q](<https://devfeed.tech/articles/mywaitm-vilmatm-is-designed-to-bring-human-like-learning-to-robots-via-one-shot-demonstration-26776.md>)

Original publisher: [Read original article](<https://blog.arduino.cc/2026/09/15/mywai-vilma-is-designed-to-bring-human-like-learning-to-robots-via-one-shot-demonstration/>)

Author: Arduino Team

Published: 2026-09-15T14:26:17Z

Content type: article

Language: en

Sources: [Arduino Blog](<https://devfeed.tech/sources/arduino-blog.md>)

Topics: [Robotics](<https://devfeed.tech/topics/robotics.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [Arduino](<https://devfeed.tech/topics/arduino.md>), [Qualcomm](<https://devfeed.tech/topics/qualcomm.md>), [UNO Q](<https://devfeed.tech/topics/uno-q.md>), [VENTUNO Q](<https://devfeed.tech/topics/ventuno-q.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [arduino](<https://devfeed.tech/tags/arduino.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [industrial](<https://devfeed.tech/tags/industrial.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [qualcomm](<https://devfeed.tech/tags/qualcomm.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robots](<https://devfeed.tech/tags/robots.md>), [uno-q](<https://devfeed.tech/tags/uno-q.md>), [ventuno-q](<https://devfeed.tech/tags/ventuno-q.md>), [warehouse](<https://devfeed.tech/tags/warehouse.md>)

### AI overview

The article describes VILMA, an AI-powered toolkit from MYWAI that enables robots and humanoids to learn manipulation tasks from one-shot human demonstrations. It reports that the toolkit is being ported to Arduino UNO Q and VENTUNO Q boards powered by Qualcomm Dragonwing processors.

### Source excerpt

Every day, hundreds of thousands of kits are prepared in warehouses before components ever reach an automotive production line. While robots have become commonplace in modern manufacturing, many upstream logistics activities still rely heavily on human operators performing repetitive pick-and-place and kitting tasks. What if robots could learn these operations the same way humans do: [...] The post MYWAI™ VILMA™ is designed to bring human-like learning to robots via one-shot demonstration appeared first on Arduino Blog.

## Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI

DevFeed: [Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI](<https://devfeed.tech/articles/alif-semi-balletto-b1-and-ensemble-e1c-startkits-feature-cortex-m55-ethos-u55-mcu-for-iot-and-edge-ai-26779.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/15/alif-semi-balletto-b1-and-ensemble-e1c-startkits-feature-cortex-m55-ethos-u55-mcu-for-iot-and-edge-ai/>)

Author: Debashis Das

Published: 2026-09-15T09:00:06Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Microcontrollers](<https://devfeed.tech/topics/microcontrollers.md>), [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Microcontroller](<https://devfeed.tech/topics/microcontroller.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Internet of things](<https://devfeed.tech/topics/iot.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [SDK](<https://devfeed.tech/topics/sdk.md>)

Tags: [802-15-4](<https://devfeed.tech/tags/802-15-4.md>), [ai](<https://devfeed.tech/tags/ai.md>), [alif](<https://devfeed.tech/tags/alif.md>), [ble](<https://devfeed.tech/tags/ble.md>), [camera](<https://devfeed.tech/tags/camera.md>), [core](<https://devfeed.tech/tags/core.md>), [debugger](<https://devfeed.tech/tags/debugger.md>), [development-board](<https://devfeed.tech/tags/development-board.md>), [devkit](<https://devfeed.tech/tags/devkit.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [embedded-systems](<https://devfeed.tech/tags/embedded-systems.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [i2c](<https://devfeed.tech/tags/i2c.md>), [iot](<https://devfeed.tech/tags/iot.md>), [led](<https://devfeed.tech/tags/led.md>), [low-power](<https://devfeed.tech/tags/low-power.md>), [mcu](<https://devfeed.tech/tags/mcu.md>), [microcontrollers](<https://devfeed.tech/tags/microcontrollers.md>), [mikrobus](<https://devfeed.tech/tags/mikrobus.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [sensor](<https://devfeed.tech/tags/sensor.md>), [specifications](<https://devfeed.tech/tags/specifications.md>), [testing](<https://devfeed.tech/tags/testing.md>), [zephyr](<https://devfeed.tech/tags/zephyr.md>), [zephyr-os](<https://devfeed.tech/tags/zephyr-os.md>)

### AI overview

Alif Semiconductor's Balletto B1 and Ensemble E1C StartKits are low-cost development boards built around Cortex-M55 microcontrollers with Ethos-U55 NPUs. The Balletto B1 adds BLE 5.3 and 802.15.4 connectivity, while both boards include camera, audio, sensor expansion, debugging, and power-measurement features.

### Source excerpt

Alif Semiconductor's Ensemble E1C (SK-E1C) and Balletto B1 (SK-B1) StartKits are low-cost development boards built around the company's Cortex-M55 + Ethos-U55 microcontrollers. The Balletto B1 adds BLE 5.3 and 802.15.4 wireless connectivity, while the Ensemble E1C does not have built-in wireless connectivity. Both StartKits feature a microcontroller with a 160MHz Cortex-M55 CPU, an Ethos-U55 NPU, 2MB SRAM, and 1.8/1.9MB NVM. They also include an Arducam camera header, a mikroBUS Click Board expansion socket, and two PDM microphones for camera, audio, and sensor-based projects. The Balletto B1 additionally provides the complete RF path to a chip antenna for its wireless subsystem, while both boards feature an on-board Segger J-Link debugger for development and testing. Alif Semiconductor StartKit (SK-B1 and SK-E1C) specifications: MCU SK-E1C - Alif Semiconductor Ensemble E1C SK-B1 - Alif Semiconductor Balletto B1 CPU - Arm Cortex-M55 core with Helium-M Vector Extension @ up to 160 MHz NPU - Arm [...] The post Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI appeared first on CNX Software - Embedded Systems News.

## Turn Arduino® UNO™ Q into your local 3D printing watchdog

DevFeed: [Turn Arduino® UNO™ Q into your local 3D printing watchdog](<https://devfeed.tech/articles/turn-arduino-unotm-q-into-your-local-3d-printing-watchdog-17453.md>)

Original publisher: [Read original article](<https://blog.arduino.cc/2026/09/14/turn-arduino-uno-q-into-your-local-3d-printing-watchdog/>)

Author: Arduino Team

Published: 2026-09-14T18:03:45Z

Content type: article

Language: en

Sources: [Arduino Blog](<https://devfeed.tech/sources/arduino-blog.md>)

Topics: [Arduino](<https://devfeed.tech/topics/arduino.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [webcam](<https://devfeed.tech/topics/webcam.md>), [MQTT](<https://devfeed.tech/topics/mqtt.md>), [Home Assistant](<https://devfeed.tech/topics/home-assistant.md>), [API](<https://devfeed.tech/topics/api.md>), [Security](<https://devfeed.tech/topics/security.md>)

Tags: [3d-printer](<https://devfeed.tech/tags/3d-printer.md>), [3d-printer-watchdog](<https://devfeed.tech/tags/3d-printer-watchdog.md>), [3d-printing](<https://devfeed.tech/tags/3d-printing.md>), [3d-printing-watchdog](<https://devfeed.tech/tags/3d-printing-watchdog.md>), [anomaly-detection](<https://devfeed.tech/tags/anomaly-detection.md>), [api](<https://devfeed.tech/tags/api.md>), [arduino](<https://devfeed.tech/tags/arduino.md>), [cameras](<https://devfeed.tech/tags/cameras.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [mqtt](<https://devfeed.tech/tags/mqtt.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [security](<https://devfeed.tech/tags/security.md>), [uno-q](<https://devfeed.tech/tags/uno-q.md>)

### AI overview

This Arduino Blog article presents a local 3D-printing watchdog built with an Arduino UNO Q, a camera, and the FOMO-AD anomaly model through Arduino App Lab. It trains on images of normal prints, flags deviations, and can automatically pause a print through the Moonraker API after repeated anomaly detections. The system can also integrate with OctoPrint, send MQTT notifications to Home Assistant, and operate entirely on the local network for privacy and security.

### Source excerpt

A lot of newer 3D printers incorporate sophisticated sensor suites and cameras to detect problems with print jobs, like the dreaded "spaghetti failure." Those work pretty well and prevent wasted time, wasted filament, and even damage to the printer. But what if you don't have a printer with those features? Or if you want to [...] The post Turn Arduino® UNO™ Q into your local 3D printing watchdog appeared first on Arduino Blog.

## NeoEyes NE302 - A tiny USB-C-powered WiFi 6 Edge AI Vision camera based on STM32N6 MCU

DevFeed: [NeoEyes NE302 - A tiny USB-C-powered WiFi 6 Edge AI Vision camera based on STM32N6 MCU](<https://devfeed.tech/articles/neoeyes-ne302-a-tiny-usb-c-powered-wifi-6-edge-ai-vision-camera-based-on-stm32n6-mcu-14041.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/12/neoeyes-ne302-a-tiny-usb-c-powered-wifi-6-edge-ai-vision-camera-based-on-stm32n6-mcu/>)

Author: Jean-Luc Aufranc (CNXSoft)

Published: 2026-09-12T02:19:36Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Microcontroller](<https://devfeed.tech/topics/microcontroller.md>), [wifi 6](<https://devfeed.tech/topics/wifi-6.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [object-detection](<https://devfeed.tech/topics/object-detection.md>)

Tags: [c-c-plus-plus](<https://devfeed.tech/tags/c-c-plus-plus.md>), [camera](<https://devfeed.tech/tags/camera.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [embedded-systems](<https://devfeed.tech/tags/embedded-systems.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [mcu](<https://devfeed.tech/tags/mcu.md>), [object-detection](<https://devfeed.tech/tags/object-detection.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [stm32](<https://devfeed.tech/tags/stm32.md>), [stmicro-stm32](<https://devfeed.tech/tags/stmicro-stm32.md>), [vision](<https://devfeed.tech/tags/vision.md>), [wifi-6](<https://devfeed.tech/tags/wifi-6.md>)

### AI overview

The article reports on CamThink's NeoEyes NE302, a compact USB-C-powered Wi-Fi 6 edge AI vision camera built around the STM32N6 MCU. It describes the device's reduced memory and feature set compared with the NE301, along with its camera, wireless, debugging, video-encoding, object-detection, networking, OTA, and security capabilities.

### Source excerpt

CamThink NeoEyes NE302 is a tiny WiFi 6 Edge AI camera based on an STM32N6 Arm Cortex-M55 MCU with Neural-ART NPU which the company says is "especially suitable for developers and makers". I initially thought about it as a smaller version of the CamThink NeoEyes NE301 based on the same STM32N6 MCU and 4MP OS04C10 camera sensor. But it's quite a different device. First, it doesn't have a battery, and the USB-C is only used for power. Memory and storage capacities have been reduced to 32 MB PSRAM and 64 MP SPI flash, and a range of built-in and optional features have been removed, including 4G LTE module (global or US), audio wafers, PIR motion connector, and a 16-pin GPIO header, as well as support for PoE power. CamThink NeoEyes NE302 specifications: Vision MCU STMicro STM32N6 MCU Core - Arm 32-bit Cortex-M55 CPU @ up to 800MHz with Arm Helium [...] The post NeoEyes NE302 - A tiny USB-C-powered WiFi 6 Edge AI Vision camera based on STM32N6 MCU appeared first on CNX Software - Embedded Systems News.

## Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications

DevFeed: [Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications](<https://devfeed.tech/articles/amlogic-a123x-and-c305x2-arm-cortex-a320-socs-target-industrial-and-low-power-aiot-applications-14039.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/11/amlogic-a123x-and-c305x2-arm-cortex-a320-socs-target-industrial-and-low-power-aiot-applications/>)

Author: Jean-Luc Aufranc (CNXSoft)

Published: 2026-09-11T03:13:41Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Arm](<https://devfeed.tech/topics/arm.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Internet of things](<https://devfeed.tech/topics/iot.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [object-detection](<https://devfeed.tech/topics/object-detection.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [Transformer](<https://devfeed.tech/topics/transformer.md>)

Tags: [aiot](<https://devfeed.tech/tags/aiot.md>), [amlogic](<https://devfeed.tech/tags/amlogic.md>), [arm](<https://devfeed.tech/tags/arm.md>), [armv9](<https://devfeed.tech/tags/armv9.md>), [camera](<https://devfeed.tech/tags/camera.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [cortex-a320](<https://devfeed.tech/tags/cortex-a320.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [embedded](<https://devfeed.tech/tags/embedded.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [h-264](<https://devfeed.tech/tags/h-264.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [iot](<https://devfeed.tech/tags/iot.md>), [linux](<https://devfeed.tech/tags/linux.md>), [llm](<https://devfeed.tech/tags/llm.md>), [low-power](<https://devfeed.tech/tags/low-power.md>), [neural](<https://devfeed.tech/tags/neural.md>), [npu](<https://devfeed.tech/tags/npu.md>), [object-detection](<https://devfeed.tech/tags/object-detection.md>), [processor](<https://devfeed.tech/tags/processor.md>), [security](<https://devfeed.tech/tags/security.md>), [soc](<https://devfeed.tech/tags/soc.md>)

### AI overview

Amlogic has announced the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered edge AI and IoT devices. The preliminary specifications include video encoding and decoding, NPUs, image signal processing, camera interfaces, networking, USB, and low-power features. The article notes that full specifications, block diagrams, and software details are not yet available.

### Source excerpt

Amlogic has unveiled the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered Edge AI and IoT applications such as robots, dashcams, IP cameras, video conferencing equipment, and so on. The Arm Cortex-A320 low-power Armv9 CPU core was introduced in February 2025, and Amlogic is the first silicon vendor to announce Cortex-A320 SoCs. Details are sparse, with no full specifications or block diagrams and limited software information, but let's see what we know so far. Amlogic A123X Amlogic A123X specifications: CPU - Quad-core Arm Cortex-A320 processor (Armv9.2-A, SVE2) GPU - None or not disclosed VPU H.264/H.265 encoding at 4K @ 60fps H.264/H.265 decoding at 4K @ 30fps AI 4 TOPS ADLA2 NPU for object detection and tracking CNN models 8 TOPS ADLA3 NPU supporting hardware-accelerated Transformer operations for ViT, LLM, etc. Neural network-based hardware SED engine for low-power audio event identification ISP - Low-light HDR ISP Supports [...] The post Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications appeared first on CNX Software - Embedded Systems News.

## LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads

DevFeed: [LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads](<https://devfeed.tech/articles/lattepanda-mu-ultra-compute-module-features-intel-core-ultra-5-226v-7-256v-lunar-lake-cpu-for-ai-workloads-14038.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/10/lattepanda-mu-ultra-compute-module-features-intel-core-ultra-5-226v-7-256v-lunar-lake-cpu-for-ai-workloads/>)

Author: Jean-Luc Aufranc (CNXSoft)

Published: 2026-09-10T02:25:10Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [intel](<https://devfeed.tech/topics/intel.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [ddr5](<https://devfeed.tech/topics/ddr5.md>), [x86](<https://devfeed.tech/topics/x86.md>), [SOC](<https://devfeed.tech/topics/soc.md>)

Tags: [2-5gbe](<https://devfeed.tech/tags/2-5gbe.md>), [3dmark](<https://devfeed.tech/tags/3dmark.md>), [artificial-intelligence-ai](<https://devfeed.tech/tags/artificial-intelligence-ai.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [ddr5](<https://devfeed.tech/tags/ddr5.md>), [development-board](<https://devfeed.tech/tags/development-board.md>), [devkit](<https://devfeed.tech/tags/devkit.md>), [dfrobot](<https://devfeed.tech/tags/dfrobot.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [embedded-systems](<https://devfeed.tech/tags/embedded-systems.md>), [geekbench](<https://devfeed.tech/tags/geekbench.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [intel](<https://devfeed.tech/tags/intel.md>), [intel-core](<https://devfeed.tech/tags/intel-core.md>), [linux](<https://devfeed.tech/tags/linux.md>), [lunar-lake](<https://devfeed.tech/tags/lunar-lake.md>), [som](<https://devfeed.tech/tags/som.md>), [ubuntu](<https://devfeed.tech/tags/ubuntu.md>), [wifi-6](<https://devfeed.tech/tags/wifi-6.md>), [wifi-7](<https://devfeed.tech/tags/wifi-7.md>), [windows-11](<https://devfeed.tech/tags/windows-11.md>)

### AI overview

CNX Software reports on the LattePanda Mu Ultra, an x86 compute module using Intel Core Ultra 5 226V or Ultra 7 256V Lunar Lake processors with 16GB of memory. It targets robotics, industrial automation, portable instruments, and vision and edge AI applications, with up to 115 TOPS of stated AI performance.

### Source excerpt

The LattePanda Mu Ultra is an x86 Compute Module powered by an Intel Core Ultra 5 226V or Ultra 7 256V Lunar Lake processor and equipped with 16GB of DDR5 memory. Offered in the same compact 69.6 x 60mm form factor as the earlier LattePanda Mu Alder Lake-N system-on-module (N100 or Core i3-N305), it delivers much higher performance, including up 115 TOPS of AI performance. Target applications include robotics, industrial automation, portable instruments, vision AI, and a range of Edge AI applications. LattePanda Mu Ultra Specifications: Lunar Lake SoC (one or the other) Intel Core Ultra 5 Processor 226V CPU - Octa-core processor up to 4.5 GHz GPU - 7x Xe-core Intel Arc 130V GPU up to 1.85 GHz AI - 40 TOPS Intel AI Boost; combined up to 97 TOPS Intel Core Ultra 7 Processor 256V CPU - Octa-core processor up to 4.8 GHz GPU - 8x Xe-core Intel Arc [...] The post LattePanda Mu Ultra Compute Module features Intel Core Ultra 5 226V/7 256V Lunar Lake CPU for AI workloads appeared first on CNX Software - Embedded Systems News.

## Petoi Quaddle - A mini robot dog for physical AI experimentation (Crowdfunding)

DevFeed: [Petoi Quaddle - A mini robot dog for physical AI experimentation (Crowdfunding)](<https://devfeed.tech/articles/petoi-quaddle-a-mini-robot-dog-for-physical-ai-experimentation-crowdfunding-14027.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/04/petoi-quaddle-a-mini-robot-dog-for-physical-ai-experimentation/>)

Author: Jean-Luc Aufranc (CNXSoft)

Published: 2026-09-04T08:03:49Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Robotics](<https://devfeed.tech/topics/robotics.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [ESP32-S3](<https://devfeed.tech/topics/esp32-s3.md>), [Arduino](<https://devfeed.tech/topics/arduino.md>), [Raspberry Pi](<https://devfeed.tech/topics/raspberry-pi.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [3d-printing](<https://devfeed.tech/tags/3d-printing.md>), [arduino](<https://devfeed.tech/tags/arduino.md>), [broadcom-bcmxxxx](<https://devfeed.tech/tags/broadcom-bcmxxxx.md>), [c-c-plus-plus](<https://devfeed.tech/tags/c-c-plus-plus.md>), [crowdfunding](<https://devfeed.tech/tags/crowdfunding.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [education](<https://devfeed.tech/tags/education.md>), [esp32](<https://devfeed.tech/tags/esp32.md>), [esp32-s3](<https://devfeed.tech/tags/esp32-s3.md>), [esphome](<https://devfeed.tech/tags/esphome.md>), [espressif](<https://devfeed.tech/tags/espressif.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [micropython](<https://devfeed.tech/tags/micropython.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [raspberry-pi](<https://devfeed.tech/tags/raspberry-pi.md>), [robot-dog](<https://devfeed.tech/tags/robot-dog.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [ros](<https://devfeed.tech/tags/ros.md>), [simulator](<https://devfeed.tech/tags/simulator.md>), [smart-home](<https://devfeed.tech/tags/smart-home.md>), [smart-speaker](<https://devfeed.tech/tags/smart-speaker.md>), [stem](<https://devfeed.tech/tags/stem.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

The Petoi Quaddle is a mini robot dog designed for learning robotics, coding, physical AI, and 3D printing. It uses an ESP32-S3 motion core, optional AI hardware, OpenCat firmware, and multiple programming environments. Petoi launched it on Kickstarter with three models and planned December 2026 shipping.

### Source excerpt

If you are not into ducks, but still would like to play around with physical AI, the Petoi Quaddle is a mini robot dog equipped with 4 servos controlling its legs and is designed to help people learn robotics, coding, AI, and 3D printing. The robot is powered by an ESP32-S3 motion core for servo control and wireless connectivity, and an optional ESP32-S3 AI core to enable voice commands and Smart Home control. The robot can walk, strafe, spin, talk back, and react to the user's touch. Three models are available depending on the user's requirements: Builder, Buddy, and Scout. A Raspberry Pi Zero can also be mounted on the top in place of the ESP32-S3-based AI core. Petoi Quaddle runs OpenCat open-source firmware (Arduino) already used in the earlier Petoi Bittle robot dog, first introduced in 2020. The robot can be programmed in a visual programming IDE with drag-and-drop [...] The post Petoi Quaddle - A mini robot dog for physical AI experimentation (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

## The New UGREEN HomeAgent Series Revealed

DevFeed: [The New UGREEN HomeAgent Series Revealed](<https://devfeed.tech/articles/the-new-ugreen-homeagent-series-revealed-17369.md>)

Original publisher: [Read original article](<https://nascompares.com/2026/09/03/the-new-ugreen-homeagent-series-revealed/>)

Author: Rob Andrews

Published: 2026-09-03T22:00:40Z

Content type: news

Language: en

Sources: [NAS Compares](<https://devfeed.tech/sources/nas-compares.md>)

Topics: [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [servers](<https://devfeed.tech/topics/servers.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [smart speaker](<https://devfeed.tech/topics/smart-speaker.md>)

Tags: [070-tflops-ai](<https://devfeed.tech/tags/070-tflops-ai.md>), [10gbe-nas](<https://devfeed.tech/tags/10gbe-nas.md>), [13-3-inch-smart-frame](<https://devfeed.tech/tags/13-3-inch-smart-frame.md>), [2](<https://devfeed.tech/tags/2.md>), [2-5gbe-nas](<https://devfeed.tech/tags/2-5gbe-nas.md>), [20-tops-npu](<https://devfeed.tech/tags/20-tops-npu.md>), [205-tops-ai](<https://devfeed.tech/tags/205-tops-ai.md>), [4k-indoor-camera](<https://devfeed.tech/tags/4k-indoor-camera.md>), [4k-outdoor-camera](<https://devfeed.tech/tags/4k-outdoor-camera.md>), [9x-hybrid-zoom](<https://devfeed.tech/tags/9x-hybrid-zoom.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-accelerator](<https://devfeed.tech/tags/ai-accelerator.md>), [ai-event-summaries](<https://devfeed.tech/tags/ai-event-summaries.md>), [ai-keyword-search](<https://devfeed.tech/tags/ai-keyword-search.md>), [ai-nas](<https://devfeed.tech/tags/ai-nas.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [arm-nas](<https://devfeed.tech/tags/arm-nas.md>), [armv9-nas](<https://devfeed.tech/tags/armv9-nas.md>), [automation](<https://devfeed.tech/tags/automation.md>), [battery-security-camera](<https://devfeed.tech/tags/battery-security-camera.md>), [bluetooth-smart-home](<https://devfeed.tech/tags/bluetooth-smart-home.md>), [cix-p1](<https://devfeed.tech/tags/cix-p1.md>), [cix-p1-cp8180](<https://devfeed.tech/tags/cix-p1-cp8180.md>), [colour-e-paper-frame](<https://devfeed.tech/tags/colour-e-paper-frame.md>), [e-ink-spectra-6](<https://devfeed.tech/tags/e-ink-spectra-6.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [face-recognition](<https://devfeed.tech/tags/face-recognition.md>), [ha100](<https://devfeed.tech/tags/ha100.md>), [ha100-price](<https://devfeed.tech/tags/ha100-price.md>), [ha100-pro](<https://devfeed.tech/tags/ha100-pro.md>), [ha100-pro-price](<https://devfeed.tech/tags/ha100-pro-price.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [home-assistant-compatible-devices](<https://devfeed.tech/tags/home-assistant-compatible-devices.md>), [server](<https://devfeed.tech/tags/server.md>), [smart-speaker](<https://devfeed.tech/tags/smart-speaker.md>), [uncategorised](<https://devfeed.tech/tags/uncategorised.md>)

### AI overview

UGREEN revealed the HomeAgent series, a family of locally managed systems combining storage, AI processing, surveillance, voice interaction and home automation. The broader range includes central systems, cameras, a smart speaker and an E-Paper photo frame. Software remains under development, and the products are initially being introduced through crowdfunding.

### Source excerpt

The New UGREEN HomeAgent Series Revealed UGREEN has spent the last few years building out its NAS range, but its latest announcement takes the company in a rather different direction. I was in Boston for the reveal of UGREEN HomeAgent, a new family of systems designed to bring local storage, AI processing, home surveillance and [...]

## Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS

DevFeed: [Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS](<https://devfeed.tech/articles/amlogic-a311y3-cortex-a78-a55-edge-ai-system-on-module-delivers-up-to-8-tops-14021.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/03/amlogic-a311y3-cortex-a78-a55-edge-ai-system-on-module-delivers-up-to-8-tops/>)

Author: Jean-Luc Aufranc (CNXSoft)

Published: 2026-09-03T13:46:18Z

Content type: article

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [SOC](<https://devfeed.tech/topics/soc.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [RISC-V](<https://devfeed.tech/topics/riscv.md>), [SDK](<https://devfeed.tech/topics/sdk.md>), [Android](<https://devfeed.tech/topics/android.md>), [Linux](<https://devfeed.tech/topics/linux.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [4g-lte](<https://devfeed.tech/tags/4g-lte.md>), [amlogic](<https://devfeed.tech/tags/amlogic.md>), [android](<https://devfeed.tech/tags/android.md>), [arm](<https://devfeed.tech/tags/arm.md>), [boardcon](<https://devfeed.tech/tags/boardcon.md>), [camera](<https://devfeed.tech/tags/camera.md>), [compiler](<https://devfeed.tech/tags/compiler.md>), [cortex-a55](<https://devfeed.tech/tags/cortex-a55.md>), [cortex-a78](<https://devfeed.tech/tags/cortex-a78.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [development-board](<https://devfeed.tech/tags/development-board.md>), [development-tools](<https://devfeed.tech/tags/development-tools.md>), [display](<https://devfeed.tech/tags/display.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [edge-computing](<https://devfeed.tech/tags/edge-computing.md>), [embedded](<https://devfeed.tech/tags/embedded.md>), [embedded-systems](<https://devfeed.tech/tags/embedded-systems.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [linux](<https://devfeed.tech/tags/linux.md>), [npu](<https://devfeed.tech/tags/npu.md>), [opencl](<https://devfeed.tech/tags/opencl.md>), [risc-v](<https://devfeed.tech/tags/risc-v.md>), [rs485](<https://devfeed.tech/tags/rs485.md>), [som](<https://devfeed.tech/tags/som.md>), [specifications](<https://devfeed.tech/tags/specifications.md>), [vulkan](<https://devfeed.tech/tags/vulkan.md>)

### AI overview

The article examines Boardcon's CM311Y3 system-on-module, which uses the Amlogic A311Y3 octa-core SoC with Cortex-A78 and Cortex-A55 CPUs, an 8 TOPS NPU, LPDDR5 memory, eMMC storage, and interfaces for embedded applications. It also describes the module's development board, software support, and key specifications.

### Source excerpt

Boardcon CM311Y3 system-on-module (SoM) is powered by an Amlogic A311Y3 octa-core Cortex-A78/A55 SoC with an 8 TOPS NPU and targets 4K video surveillance systems, AI edge computing devices, interactive terminals, enterprise thin clients, and autonomous robots. The module comes with up to 16GB LPDDR5 and up to 256 GB eMMC flash, exposes 210 pins through castellated edges, and a development board is also provided for evaluation and early software development. We don't often see new SoMs or SBCs based on Amlogic SoCs these days, so let's have a closer look. Boardcon CM311Y3 System-on-Module CM311Y3 specifications: SoC - Amlogic A311Y3 CPU 2x ARM Cortex-A78 cores @ 2.4GHx 6x ARM Cortex-A55 cores @ 2.0GHz RISC-V core for system control processing RISC-V core for Always-on power management and Sensor Hub GPU - Arm Mali-G625 MC1 with support for OpenGL ES 3.2, Vulkan 1.4, and OpenCL 3.0 VPU Video Decoder - H.264 up to [...] The post Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS appeared first on CNX Software - Embedded Systems News.

## Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding)

DevFeed: [Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding)](<https://devfeed.tech/articles/circuit-valley-chc5-a-modular-usb-hdmi-and-ethernet-camera-system-crowdfunding-14018.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/09/02/circuit-valley-chc5-a-modular-usb-hdmi-and-ethernet-camera-system/>)

Author: Jean-Luc Aufranc (CNXSoft)

Published: 2026-09-02T07:25:10Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [webcam](<https://devfeed.tech/topics/webcam.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [USB](<https://devfeed.tech/topics/usb.md>), [hdmi](<https://devfeed.tech/topics/hdmi.md>), [Ethernet](<https://devfeed.tech/topics/ethernet.md>), [SOC](<https://devfeed.tech/topics/soc.md>), [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Linux](<https://devfeed.tech/topics/linux.md>), [SDK](<https://devfeed.tech/topics/sdk.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [arm](<https://devfeed.tech/tags/arm.md>), [buildroot](<https://devfeed.tech/tags/buildroot.md>), [c-c-plus-plus](<https://devfeed.tech/tags/c-c-plus-plus.md>), [camera](<https://devfeed.tech/tags/camera.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [embedded-systems](<https://devfeed.tech/tags/embedded-systems.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [fpga](<https://devfeed.tech/tags/fpga.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [hdmi](<https://devfeed.tech/tags/hdmi.md>), [kickstarter](<https://devfeed.tech/tags/kickstarter.md>), [linux](<https://devfeed.tech/tags/linux.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [poe](<https://devfeed.tech/tags/poe.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [soc](<https://devfeed.tech/tags/soc.md>), [usb](<https://devfeed.tech/tags/usb.md>), [video](<https://devfeed.tech/tags/video.md>), [xilinx-zynq](<https://devfeed.tech/tags/xilinx-zynq.md>)

### AI overview

CNX Software reports on Circuit Valley's CHC5, a modular camera system built around an AMD/Xilinx Zynq-7020 SoC FPGA. It supports interchangeable sensor and lens configurations, USB, HDMI, and Gigabit Ethernet interfaces, and image-processing and machine-vision workloads.

### Source excerpt

Circuit Valley's CHC5 is a modular camera system based on a Core board powered by an AMD/Xilinx Zynq-7020 SoC FPGA, a range of interface boards with USB, HDMI, or Ethernet (PoE), various sensor boards, and a metal enclosure. The solution can be customized with different lens objectives and different sensors with MIPI D-PHY, LVDS, Sub-LVDS, Low Voltage LVDS, or SLVS interfaces. The Zynq-7020's Cortex-A9 cores can handle complex tasks, while the FPGA fabric takes care of high-speed calculation and correction on the image, and can also be leveraged for AI/machine-vision-specific algorithms or complex low-latency hardware acceleration. CHC5 specifications: Core board SoC - Xilinx AMD Zynq-7020 SoC FPGA CPU - Dual-core Arm Cortex-A9 processor FPGA - 85K logic cells, 4.9Mb Block RAM, 220 DSP slices System Memory - 1GB DDR3 Storage 1 Gbit flash memory MicroSD card slot ISP - Full-fledged ISP implemented on FPGA fabric Multiple interface boards with 10Gbps [...] The post Circuit Valley CHC5 - A modular USB, HDMI, and Ethernet camera system (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

## D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores

DevFeed: [D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores](<https://devfeed.tech/articles/d-robotics-rdk-s100p-a-128-tops-alternative-to-nvidia-jetson-orin-nx-16gb-with-cortex-a78ae-r52-cores-14013.md>)

Original publisher: [Read original article](<https://www.cnx-software.com/2026/08/31/d-robotics-rdk-s100p-a-128-tops-alternative-to-nvidia-jetson-orin-nx-16gb-with-cortex-a78ae-r52-cores/>)

Author: Debashis Das

Published: 2026-08-31T08:06:13Z

Content type: news

Language: en

Sources: [CNX Software - Embedded Systems News](<https://devfeed.tech/sources/cnx-software-embedded-systems-news.md>)

Topics: [Jetson](<https://devfeed.tech/topics/jetson.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Embedded Systems](<https://devfeed.tech/topics/embedded-systems.md>), [Microcontroller](<https://devfeed.tech/topics/microcontroller.md>), [Jetson Orin](<https://devfeed.tech/topics/jetson-orin.md>), [SOC](<https://devfeed.tech/topics/soc.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Arm](<https://devfeed.tech/topics/arm.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Linux](<https://devfeed.tech/topics/linux.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [arm](<https://devfeed.tech/tags/arm.md>), [artificial-intelligence-ai](<https://devfeed.tech/tags/artificial-intelligence-ai.md>), [camera](<https://devfeed.tech/tags/camera.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [cortex-a78](<https://devfeed.tech/tags/cortex-a78.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [development-kit](<https://devfeed.tech/tags/development-kit.md>), [dfrobot](<https://devfeed.tech/tags/dfrobot.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [embedded](<https://devfeed.tech/tags/embedded.md>), [embedded-systems](<https://devfeed.tech/tags/embedded-systems.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [jetson](<https://devfeed.tech/tags/jetson.md>), [jetson-orin](<https://devfeed.tech/tags/jetson-orin.md>), [linux](<https://devfeed.tech/tags/linux.md>), [mcu](<https://devfeed.tech/tags/mcu.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [os](<https://devfeed.tech/tags/os.md>), [processors](<https://devfeed.tech/tags/processors.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [ros](<https://devfeed.tech/tags/ros.md>), [safety](<https://devfeed.tech/tags/safety.md>), [sensor](<https://devfeed.tech/tags/sensor.md>), [sensors](<https://devfeed.tech/tags/sensors.md>), [single-board-computer](<https://devfeed.tech/tags/single-board-computer.md>), [soc](<https://devfeed.tech/tags/soc.md>), [software](<https://devfeed.tech/tags/software.md>), [som](<https://devfeed.tech/tags/som.md>), [specifications](<https://devfeed.tech/tags/specifications.md>), [systems](<https://devfeed.tech/tags/systems.md>), [ubuntu](<https://devfeed.tech/tags/ubuntu.md>)

### AI overview

The D-Robotics RDK S100P is a robotics single-board computer featuring a 6-core Cortex-A78AE CPU, 4-core Cortex-R52+ MCU domain, 128 TOPS INT8 Nash BPU, Mali-G78AE GPU, and 24 GB of LPDDR5. Its MCU supports real-time motor and sensor control, potentially reducing the need for a separate real-time controller depending on the robot's requirements.

### Source excerpt

D-Robotics RDK S100P development kit is a robotics SBC built around an S100P-based module providing an alternative to NVIDIA Jetson Orin NX 16GB with a 6-core Cortex-A78AE application cluster, a 4-core Cortex-R52+ MCU domain, a Nash BPU rated at 128 TOPS INT8, a Mali-G78AE GPU, and 24 GB of LPDDR5. The four R52+ cores can be configured for reliable real-time control: two cores run in lockstep for safety, and the other two support split-lock operation. In practice, the A78AE CPU and BPU can handle Linux and vision processing, while the MCU handles time-critical tasks such as motor and sensor I/O. This can reduce the need for a separate real-time controller, although whether it eliminates one depends on the robot and its requirements. RDK S100P specifications: SoC - D-Robotics S100P CPU - 6x Arm Cortex-A78AE @ 2.0 GHz (safety-capable AE cores) MCU - 4x Arm Cortex-R52+ @ 1.2 GHz (1x DCLS [...] The post D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores appeared first on CNX Software - Embedded Systems News.

## Building FOFOCA: An Open-Source AI Robot with ESP32, ESP32-C3, and Edge AI

DevFeed: [Building FOFOCA: An Open-Source AI Robot with ESP32, ESP32-C3, and Edge AI](<https://devfeed.tech/articles/building-fofoca-an-open-source-ai-robot-with-esp32-esp32-c3-and-edge-ai-13771.md>)

Original publisher: [Read original article](<https://developer.espressif.com/blog/2026/05/fofoca-esp32-ai-robot/>)

Author: John Lee

Published: 2026-05-15T00:00:00Z

Content type: tutorial

Language: en

Sources: [Blog on Developer Portal](<https://devfeed.tech/sources/blog-on-developer-portal.md>)

Topics: [ESP32](<https://devfeed.tech/topics/esp32.md>), [Embedded Software Dev](<https://devfeed.tech/topics/embedded-software-dev.md>), [ESP32-C3](<https://devfeed.tech/topics/esp32-c3.md>), [Espressif](<https://devfeed.tech/topics/espressif.md>), [Raspberry Pi](<https://devfeed.tech/topics/raspberry-pi.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [MQTT](<https://devfeed.tech/topics/mqtt.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Nemotron](<https://devfeed.tech/topics/nemotron.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [ble](<https://devfeed.tech/tags/ble.md>), [blog](<https://devfeed.tech/tags/blog.md>), [bluetooth](<https://devfeed.tech/tags/bluetooth.md>), [building](<https://devfeed.tech/tags/building.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [esp32](<https://devfeed.tech/tags/esp32.md>), [esp32-c3](<https://devfeed.tech/tags/esp32-c3.md>), [espressif](<https://devfeed.tech/tags/espressif.md>), [firmware](<https://devfeed.tech/tags/firmware.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [microcontrollers](<https://devfeed.tech/tags/microcontrollers.md>), [mqtt](<https://devfeed.tech/tags/mqtt.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [pwm](<https://devfeed.tech/tags/pwm.md>), [raspberry-pi](<https://devfeed.tech/tags/raspberry-pi.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [risc-v](<https://devfeed.tech/tags/risc-v.md>), [robotics](<https://devfeed.tech/tags/robotics.md>)

### AI overview

This article presents FOFOCA, an open-source household robot reference design using an ESP32 for real-time motor and sensor control, an ESP32-C3 for an MQTT-connected OLED display, and a Raspberry Pi 5 as the processing brain. A local Dell R210 server runs NVIDIA Nemotron Nano 8B and supporting services, while ThinkNEO provides AI governance and audit routing.

### Source excerpt

FOFOCA is an open-source reference design for an AI-governed household robot, built around a Raspberry Pi 5 brain, an ESP32 for real-time motor control and sensor polling, and an ESP32-C3 driving an OLED status display over MQTT. This article walks through the hardware architecture, the firmware running on each Espressif chip, and how all of it connects to a local edge AI server running NVIDIA Nemotron Nano 8B for inference -- no cloud dependency required.

## Gesture Recognition Based on TFLite

DevFeed: [Gesture Recognition Based on TFLite](<https://devfeed.tech/articles/gesture-recognition-based-on-tflite-13765.md>)

Original publisher: [Read original article](<https://developer.espressif.com/blog/2026/04/gesture-recognition-based-on-tflite/>)

Author: John Lee

Published: 2026-04-10T00:00:00Z

Content type: tutorial

Language: en

Sources: [Blog on Developer Portal](<https://devfeed.tech/sources/blog-on-developer-portal.md>)

Topics: [TensorFlow Lite](<https://devfeed.tech/topics/tensorflow-lite.md>), [Espressif](<https://devfeed.tech/topics/espressif.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Tensorflow](<https://devfeed.tech/topics/tensorflow.md>), [Keras](<https://devfeed.tech/topics/keras.md>), [On-device AI](<https://devfeed.tech/topics/on-device-ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [blog](<https://devfeed.tech/tags/blog.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [development-board](<https://devfeed.tech/tags/development-board.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [edge-computing](<https://devfeed.tech/tags/edge-computing.md>), [esp-idf](<https://devfeed.tech/tags/esp-idf.md>), [espressif](<https://devfeed.tech/tags/espressif.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [inference](<https://devfeed.tech/tags/inference.md>), [keras](<https://devfeed.tech/tags/keras.md>), [model-deployment](<https://devfeed.tech/tags/model-deployment.md>), [model-training](<https://devfeed.tech/tags/model-training.md>), [tensorflow-lite](<https://devfeed.tech/tags/tensorflow-lite.md>)

### AI overview

This tutorial demonstrates gesture recognition on Espressif SoCs using TensorFlow Lite Micro. It covers data collection, model training, conversion for TFLite Micro, and deployment with C++ code for model loading, preprocessing, and inference.

### Source excerpt

This article demonstrates how to implement gesture recognition using TensorFlow Lite Micro on Espressif SoCs. It covers the complete workflow from data collection and model training to model deployment, showcasing TensorFlow Lite Micro's applications in edge AI.

## Why Walk-Out Checkout Technology Works Better in Stadiums and Small Stores

DevFeed: [Why Walk-Out Checkout Technology Works Better in Stadiums and Small Stores](<https://devfeed.tech/articles/walk-out-technology-is-hitting-its-stride-33284.md>)

Original publisher: [Read original article](<https://8thlight.com/insights/walk-out-technology-is-hitting-its-stride>)

Author: Shawn DeVries

Published: 2026-02-16T19:30:00Z

Content type: article

Language: en

Sources: [8th Light Insights](<https://devfeed.tech/sources/8th-light-insights.md>)

Topics: [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [ai-and-emerging-tech](<https://devfeed.tech/tags/ai-and-emerging-tech.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [technology](<https://devfeed.tech/tags/technology.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

The article argues that walk-out checkout technology struggled in grocery stores because of complex inventories, unpredictable customer behavior, and extensive human review. It says the approach is performing better in stadiums and small-format stores, where controlled conditions, limited products, edge AI, and 3D computer vision support rapid transactions.

### Source excerpt

This technology platform, called 'Just Walk Out', required over 1,000 workers in India manually reviewing video footage to verify transactions. By 2022, 700 out of every 1,000 sales needed human review. Amazon pulled the technology from their Fresh grocery stores in 2024. They paved the way. But it wasn't sustainable. The problem wasn't the concept. It was the complexity. Grocery stores carry thousands of SKUs, items without barcodes, and unpredictable customer behavior at scale. In fact, this same technology is succeeding in stadiums and small-format stores. Mashgin kiosks are deployed across 150+ sports venues and a number of airports. Guests drop items on a tray, the system scans and prices them using computer vision, and checkout finishes in under 15 seconds. No barcode scanning. No cashier. No human review loop. Over 1.4 million items sold at NFL stadiums in 2024 alone. Median transaction time sits below 15 seconds, even during halftime surges when traditional concessions collapse under volume. Walk out technology works when the context is controlled. Why Stadiums Succeed Where Grocery Failed Stadiums solve the problems that broke Amazon's model: Limited SKUs. Concessions carry hundreds of items, not tens of thousands. High margins. Premium pricing justifies the tech investment. Controlled environment. Fixed locations, predictable lighting, standardized packaging. Edge AI processing. No cloud dependency. No human review. Decisions happen on-device in real time. Mashgin removes the constraint. Throughput scales without adding headcount. The kiosk processes items as fast as fans can place them on the tray. Speed only holds if the system stays up. Any downtime, and the kiosk becomes a bottleneck worse than the line it replaced. How Mashgin Handles Volume Mashgin uses 3D computer vision and edge AI to identify items in real time: Multiple cameras capture items from different angles as they land on the tray On-device neural networks classify products without cloud d

## AI application topologies: cloud, edge, local, and hybrid inference

DevFeed: [AI application topologies: cloud, edge, local, and hybrid inference](<https://devfeed.tech/articles/ai-topology-29075.md>)

Original publisher: [Read original article](<https://blog.alexewerlof.com/p/ai-topology>)

Author: Alex Ewerlöf

Published: 2025-10-24T21:15:00Z

Content type: article

Language: en

Sources: [Alex Ewerlof Notes](<https://devfeed.tech/sources/alex-ewerlof-notes.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Local AI](<https://devfeed.tech/topics/local-ai.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [On-device AI](<https://devfeed.tech/topics/on-device-ai.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Software as a service](<https://devfeed.tech/topics/saas.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [inference](<https://devfeed.tech/tags/inference.md>), [latency](<https://devfeed.tech/tags/latency.md>), [local-ai](<https://devfeed.tech/tags/local-ai.md>), [on-device-ai](<https://devfeed.tech/tags/on-device-ai.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [saas](<https://devfeed.tech/tags/saas.md>)

### AI overview

The article categorizes AI application topologies by where inference compute occurs relative to data: cloud, edge, local, and hybrid. It describes trade-offs involving capability, latency, cost, privacy, connectivity, vendor limits, and centralized-service outages.

### Source excerpt

Cloud AI, Edge AI, Local AI, and Hybrid AI

## Arm & ExecuTorch 0.7: Bringing Generative AI to the masses

DevFeed: [Arm & ExecuTorch 0.7: Bringing Generative AI to the masses](<https://devfeed.tech/articles/arm-executorch-0-7-bringing-generative-ai-to-the-masses-6987.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/Arm/executorch-0-dot-7>)

Author: EricSondhi; Gian Marco Iodice

Published: 2025-08-13T14:55:10Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Arm](<https://devfeed.tech/topics/arm.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [AI Inference](<https://devfeed.tech/topics/ai-inference.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Mobile](<https://devfeed.tech/topics/mobile.md>), [Raspberry Pi](<https://devfeed.tech/topics/raspberry-pi.md>), [Latency](<https://devfeed.tech/topics/latency.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-accelerator](<https://devfeed.tech/tags/ai-accelerator.md>), [android](<https://devfeed.tech/tags/android.md>), [arm](<https://devfeed.tech/tags/arm.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [cross-platform](<https://devfeed.tech/tags/cross-platform.md>), [developers](<https://devfeed.tech/tags/developers.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [generative](<https://devfeed.tech/tags/generative.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [mediapipe](<https://devfeed.tech/tags/mediapipe.md>), [memory](<https://devfeed.tech/tags/memory.md>), [onnx](<https://devfeed.tech/tags/onnx.md>), [performance](<https://devfeed.tech/tags/performance.md>), [raspberry-pi](<https://devfeed.tech/tags/raspberry-pi.md>), [smartphones](<https://devfeed.tech/tags/smartphones.md>)

### AI overview

Arm's KleidiAI will be enabled by default in the upcoming ExecuTorch 0.7 beta, providing automatic AI acceleration through ExecuTorch and XNNPack on current and older Arm-based devices. The article explains how this can improve model startup time, latency, and memory efficiency, making Generative AI and large language models more practical on mobile devices and Raspberry Pi 5. It also describes how the Arm SDOT instruction accelerates low-precision matrix multiplication used by LLMs.

### Source excerpt

With Arm's recent SME2 announcement, the role of Arm KleidiAI is increasingly clear as Arm's AI accelerator layer powering the next wave of AI. By embedding into widely-used Edge AI frameworks like XNNPack, MediaPipe, MNN, ONNX Runtime, and even llama.cpp, KleidiAI has delivered substantial performance improvements with no code changes required by developers.

## ESP32-S3 Edge-AI｜Human Activity Recognition Using Accelerometer Data and ESP-DL

DevFeed: [ESP32-S3 Edge-AI｜Human Activity Recognition Using Accelerometer Data and ESP-DL](<https://devfeed.tech/articles/esp32-s3-edge-ai-human-activity-recognition-using-accelerometer-data-and-esp-dl-13861.md>)

Original publisher: [Read original article](<https://developer.espressif.com/blog/esp32-s3-edge-ai-human-activity-recognition-using-accelerometer-data-and-esp-dl/>)

Author: John Lee

Published: 2023-06-06T00:00:00Z

Content type: tutorial

Language: en

Sources: [Blog on Developer Portal](<https://devfeed.tech/sources/blog-on-developer-portal.md>)

Topics: [ESP32-S3](<https://devfeed.tech/topics/esp32-s3.md>), [On-device AI](<https://devfeed.tech/topics/on-device-ai.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [ESP-IDF](<https://devfeed.tech/topics/esp-idf.md>), [Espressif](<https://devfeed.tech/topics/espressif.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [blog](<https://devfeed.tech/tags/blog.md>), [edge-ai](<https://devfeed.tech/tags/edge-ai.md>), [edge-computing](<https://devfeed.tech/tags/edge-computing.md>), [esp](<https://devfeed.tech/tags/esp.md>), [esp-dl](<https://devfeed.tech/tags/esp-dl.md>), [esp-idf](<https://devfeed.tech/tags/esp-idf.md>), [esp32-s3](<https://devfeed.tech/tags/esp32-s3.md>), [espressif](<https://devfeed.tech/tags/espressif.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [recognition](<https://devfeed.tech/tags/recognition.md>)

### AI overview

This tutorial explains how to read accelerometer data and deploy a deep-learning model with ESP-DL on an ESP32-S3 for human activity recognition. It covers prerequisites, ESP-IDF project structure, model definition, layer initialization, and layer construction.

### Source excerpt

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the device's location. Edge Artificial Intelligence (edge-AI) is an exciting development within edge computing because it allows traditional technologies to run more efficiently, with higher performance and less power. Trained neural networks are used to make inferences on small devices.