# IoT Published articles for IoT. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 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]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-15T09:00:06Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Microcontrollers](), [Embedded Systems](), [Microcontroller](), [cpu](), [Internet of things](), [Artificial Intelligence](), [SDK]() Tags: [802-15-4](), [ai](), [alif](), [ble](), [camera](), [core](), [debugger](), [development-board](), [devkit](), [edge](), [edge-ai](), [embedded-systems](), [hardware](), [i2c](), [iot](), [led](), [low-power](), [mcu](), [microcontrollers](), [mikrobus](), [open-source](), [sensor](), [specifications](), [testing](), [zephyr](), [zephyr-os]() ### 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. ## Morse Micro Wi-Fi HaLow USB adapters add 802.11ah connectivity to PCs and routers DevFeed: [Morse Micro Wi-Fi HaLow USB adapters add 802.11ah connectivity to PCs and routers]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-14T09:00:51Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [USB](), [Network](), [Hardware](), [RISC-V](), [Linux](), [macOS](), [Windows](), [Encryption]() Tags: [802-11ah](), [connectivity](), [documentation](), [encryption](), [firmware](), [github](), [guides](), [halow](), [hardware](), [iot](), [linux](), [lpwan](), [macos](), [network](), [networks](), [risc-v](), [security](), [usb](), [wi-fi](), [wifi](), [windows](), [wireless]() ### AI overview Morse Micro has released USB-A and USB-C Wi-Fi HaLow adapters based on its MM8108 reference design. The adapters connect PCs and routers to IEEE 802.11ah networks and support Windows, Linux, and macOS. ### Source excerpt Last year, we saw Morse Micro introduce the MM8108 Wi-Fi HaLow (802.11ah) SoC with up to 43.33 Mbps throughput, along with an MM8108-RD09 USB dongle reference design, for which we had virtually no details at the time. Morse Micro has now released USB-A and USB-C Wi-Fi HaLow adapters based on that reference design. The adapters let PCs and routers connect to 802.11ah networks through USB without a dedicated expansion card and feature an external SMA antenna delivering up to 26 dBm transmit power. Wi-Fi HaLow USB network adapter specifications: SoC - Morse Micro MM8108 32-bit RISC-V Host Applications Processor (HAP) Standard - IEEE802.11ah Wi-Fi HaLow Frequency band - 850-950 MHz (Worldwide sub-1 GHz license-exempt range) Operating Modes - Access Point (AP) and Station (STA). Channel Width - 1/2/4/8 MHz Modulation - BPSK, QPSK, 16QAM, 64QAM, 256QAM. Data rate - Up to 43.3 Mbps using 256-QAM modulation at an 8 MHz bandwidth [...] The post Morse Micro Wi-Fi HaLow USB adapters add 802.11ah connectivity to PCs and routers appeared first on CNX Software - Embedded Systems News. ## A Case Study: Building an EN 18031-Compliant IoT Solution with ESP32-C5 and ESP RainMaker DevFeed: [A Case Study: Building an EN 18031-Compliant IoT Solution with ESP32-C5 and ESP RainMaker]() Original publisher: [Read original article]() Author: John Lee Published: 2026-09-14T00:00:00Z Content type: article Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32](), [Internet of things](), [Security](), [Cloud](), [Security & Privacy](), [Espressif](), [Authentication](), [Authorization]() Tags: [access-control](), [authentication](), [blog](), [compliance](), [connectivity](), [cryptographic](), [data](), [data-management](), [documentation](), [en-18031](), [esp-rainmaker](), [esp32-c5](), [espressif](), [eu](), [firmware](), [iot](), [privacy](), [rainmaker](), [regulatory](), [security](), [standards](), [storage]() ### AI overview This case study describes an ESP32-C5 and ESP RainMaker device-to-cloud IoT implementation assessed against EN 18031 cybersecurity and privacy requirements for products targeting the EU market. ### Source excerpt This case study assesses device-to-cloud IoT implementation of products based on ESP32-C5 and ESP RainMaker against the EN 18031 security requirements for the EU market. ## M5Stack Module13.2 LoRa-1262 expansion board integrates 14x10 mm Stamp LoRa-1262 module DevFeed: [M5Stack Module13.2 LoRa-1262 expansion board integrates 14x10 mm Stamp LoRa-1262 module]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-13T05:02:54Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [lora](), [systems]() Tags: [connectivity](), [development-board](), [embedded-systems](), [hardware](), [i2c](), [io](), [iot](), [lora](), [lorawan](), [low-power](), [lpwan](), [m5stack](), [module](), [news](), [power-management](), [routing](), [series](), [smart-agriculture](), [smart-city](), [spi](), [wireless]() ### AI overview M5Stack has launched the Stamp LoRa-1262 SMD module and the stackable Module13.2 LoRa-1262 expansion board for M5Stack Core controllers. Based on the Semtech SX1262, the module supports several modulation modes across 868-923 MHz, with up to +22 dBm transmit power and -147 dBm receive sensitivity. Module13.2 adds an RP-SMA antenna interface, M5IOE1 I/O expansion, configurable pin routing, and selectable I2C addresses for multi-module stacking. ### Source excerpt After launching the SX1262-based M5Stamp C6LoRa tiny module, M5Stack has launched two SX1262-based LoRa add-ons for the 868-923 MHz band: the tiny Stamp LoRa-1262 SMD module for custom PCBs, and the stackable Module13.2 LoRa-1262 module for the M5Stack Core series. The Stamp LoRa-1262 supports LoRa, FSK, GFSK, MSK, GMSK, and OOK modulation, with up to +22 dBm transmit power and -147 dBm receive sensitivity. The Module13.2 adds an RP-SMA antenna interface, an M5IOE1 IO expansion chip for reset and power management, and DIP switches for flexible pin routing and configurable I2C addresses, enabling multi-module stacking. Stamp LoRa-1262 SMD module M5Stack Stamp LoRa-1262 specifications: LoRa Transceiver - Semtech SX1262 Wireless Connectivity (LoRa) Frequency Band - 868 to 923 MHz Modulation Modes - LoRa, FSK, GFSK, MSK, GMSK, OOK Bitrate - Up to 300 kbps (programmable) Transmit power (Tx) - Up to +22 dBm Receive sensitivity (Rx) - Down to -147 dBm [...] The post M5Stack Module13.2 LoRa-1262 expansion board integrates 14x10 mm Stamp LoRa-1262 module appeared first on CNX Software - Embedded Systems News. ## Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications DevFeed: [Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-11T13:41:08Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Hardware](), [Arm](), [cpu](), [Internet of things]() Tags: [arm](), [cortex-a55](), [cpu](), [development-board](), [devices](), [display](), [embedded-systems](), [gateway](), [h-264](), [hardware](), [hmi](), [industrial](), [iot](), [linux](), [low-power](), [medical-devices](), [real-time](), [renesas](), [renesas-mcu](), [smarc](), [systems](), [zephyr](), [zephyr-os]() ### AI overview Renesas introduced the RZ/G3L and RZ/G3SE, two 64-bit MPUs for HMI and IoT edge systems. Both use Arm Cortex-A55 application cores and an Arm Cortex-M33 real-time coprocessor. The RZ/G3L adds a Mali-G31 GPU and H.264 codec for richer HMI applications, while the RZ/G3SE targets IoT devices with basic display needs. Both support low-power standby operation. ### Source excerpt Renesas has expanded its RZ/G Series with the RZ/G3L and RZ/G3SE, two new 64-bit MPUs for HMI and IoT edge systems. Both devices integrate up to four Arm Cortex-A55 application cores clocked at up to 1.2 GHz and a 200 MHz Arm Cortex-M33 real-time coprocessor. The two chips are pin-to-pin compatible but target different applications. The RZ/G3L integrates an Arm Mali-G31 3D GPU and H.264 video codec for HMI applications like retail terminals and medical devices. The RZ/G3SE removes the GPU and video codec and is designed for IoT devices with basic display requirements, including EV chargers and industrial gateway devices. Both can reduce standby power consumption to around 1 mW and resume operation quickly from deep standby, which is useful for devices that need to remain connected while consuming very little power. Renesas RZ/G3L and RZ/G3SE specifications: MPU core CPU Quad-core or Dual-core Arm Cortex-A55 @ up to 1.2 [...] The post Renesas RZ/G3L & RZ/G3SE - Ultra-low-power Cortex-A55 MPUs for industrial HMI and IoT applications 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]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-11T03:13:41Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Arm](), [cpu](), [Embedded Systems](), [Artificial Intelligence](), [Internet of things](), [Hardware](), [object-detection](), [Neural Network](), [Transformer]() Tags: [aiot](), [amlogic](), [arm](), [armv9](), [camera](), [computer-vision](), [cortex-a320](), [edge-ai](), [embedded](), [ethernet](), [h-264](), [hardware](), [iot](), [linux](), [llm](), [low-power](), [neural](), [npu](), [object-detection](), [processor](), [security](), [soc]() ### 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. ## ESP32-C5 Pico board follows Raspberry Pi Pico form factor, ships with on-board or external antenna DevFeed: [ESP32-C5 Pico board follows Raspberry Pi Pico form factor, ships with on-board or external antenna]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-09T07:00:50Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [ESP32-C5](), [Raspberry Pi](), [Espressif](), [cpu](), [RISC-V](), [SOC](), [Bluetooth](), [wifi 6](), [zigbee](), [Matter](), [Embedded Systems](), [ESP-IDF]() Tags: [802-15-4](), [arduino](), [battery](), [ble](), [bluetooth](), [bluetooth-le](), [boot](), [c-c-plus-plus](), [development-board](), [embedded-systems](), [esp-idf](), [esp32](), [esp32-c5](), [espressif](), [gpio](), [hardware](), [iot](), [matter](), [news](), [port](), [raspberry-pi](), [risc-v](), [thread](), [usb](), [waveshare](), [wifi-6](), [zigbee]() ### AI overview The Waveshare ESP32-C5 Pico is a development board in the Raspberry Pi Pico form factor. It uses an ESP32-C5-MINI-1 series module with a RISC-V processor, dual-band WiFi 6, Bluetooth LE, and 802.15.4 support for Zigbee, Thread, and Matter. The board includes GPIO headers, USB-C, buttons, LEDs, and Li-Ion battery support, with variants offering PCB or external antennas. ### Source excerpt Waveshare ESP32-C5 Pico board brings the ESP32-C5 dual-band WiFi 6, Bluetooth LE, and 802.15.4 (Zigbee/Thread) SoC to the Raspberry Pi Pico form factor. The board features an ESP32-C5-MINI-1 Series module with PCB or external antenna, two 20-pin GPIO headers, a USB-C port for power and programming, Reset and Boot buttons, and a few LEDs. It also supports Li-Ion battery charging and discharging. Waveshare ESP32-C5 Pico specifications: Wireless module - ESP32-C5-MINI-1 or ESP32-C5-MINI-1U Wireless MCU - Espressif Systems ESP32-C5HF4 CPU Single-core 32-bit RISC-V processor @ up to 240 MHz Low-power RISC-V core @ 48 MHz acting as the main processor for power-sensitive applications Memory - 384 KB SRAM on-chip Storage - 320 KB ROM, 4MB SPI flash Wireless Dual-band (2.4/5 GHz) 802.11ax WiFi 6, 802.11b/g/n WiFi 4 backward compatibility WiFi modes: Station mode, SoftAP mode, SoftAP + Station mode, and promiscuous mode Bluetooth 5.0 Low Energy (LE) with Mesh support, up [...] The post ESP32-C5 Pico board follows Raspberry Pi Pico form factor, ships with on-board or external antenna appeared first on CNX Software - Embedded Systems News. ## EU Cyber Resilience Act: Vulnerability Reporting Obligations DevFeed: [EU Cyber Resilience Act: Vulnerability Reporting Obligations]() Original publisher: [Read original article]() Author: John Lee Published: 2026-09-09T00:00:00Z Content type: article Language: en Sources: [Blog on Developer Portal]() Topics: [cyber resilience act](), [Vulnerabilities](), [Espressif](), [ESP32](), [ESP-IDF](), [Security](), [EN 18031]() Tags: [blog](), [cyber-resilience-act](), [en-18031](), [esp-idf](), [esp32](), [espressif](), [eu](), [iot](), [security](), [vulnerability]() ### AI overview This article explains that the Cyber Resilience Act's vulnerability-reporting obligations begin on 11 September 2026 for connected products sold in the EU, including products already on the market. It outlines Article 14 duties, reporting recipients and the role of Espressif's platform layer for products built on ESP32. ### Source excerpt The CRA's vulnerability reporting obligations start on 11 September 2026 and apply to products already on the market, including ones sold years ago. What Article 14 requires, which duties run to whom, how reporting works through the ENISA Single Reporting Platform, and where the Espressif platform layer fits. ## TinyGo 0.42 adds support for 87 Puya PY32 MCU variants and two EmbedFire boards DevFeed: [TinyGo 0.42 adds support for 87 Puya PY32 MCU variants and two EmbedFire boards]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-04T04:33:53Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Go Language](), [Embedded Systems](), [Microcontroller](), [Compiler](), [Arm](), [Internet of things](), [LLVM]() Tags: [arm](), [article](), [code](), [compiler](), [development](), [development-board](), [devices](), [embedded-systems](), [firmware](), [go](), [gpio](), [guest-post](), [hardware](), [iot](), [llvm](), [mcu](), [microcontrollers](), [news](), [programming](), [puya](), [software-management](), [tooling]() ### AI overview TinyGo 0.42 adds support for the Puya PY32 family of 32-bit Arm microcontrollers, covering 87 MCU configurations and two EmbedFire development boards. The port includes startup code, linker scripts, GPIO, UART, and generated device-register definitions. ### Source excerpt CNXSoft: This is a guest post by Pavel Burgr, who recently added Puya PY32 MCU support to TinyGo 0.42, the latest version of the Go compiler for microcontrollers. We first covered TinyGo in 2019, and the project is still going strong with 17.7k stars, 1.1k forks, and 243 contributors. I just made a few edits and added illustrations and a few links to the article. TinyGo 0.42 adds support for the Puya PY32 family of 32-bit Arm microcontrollers. The new port includes startup code, generated device-register definitions, linker scripts, GPIO and UART support, and targets for 87 individual MCU configurations. It also includes board definitions for two inexpensive EmbedFire development boards available from AliExpress. The port was contributed by Pavel Burgr and merged through TinyGo pull request #5106. One motivation was to establish a solid, easy-to-use firmware platform for small IoT devices built around the Registry service and the BleRiot [...] The post TinyGo 0.42 adds support for 87 Puya PY32 MCU variants and two EmbedFire boards appeared first on CNX Software - Embedded Systems News. ## Artery AT32F406 and AT32F408 Cortex-M4F MCUs feature optional high-speed USB OTG PHY DevFeed: [Artery AT32F406 and AT32F408 Cortex-M4F MCUs feature optional high-speed USB OTG PHY]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-03T09:40:39Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Microcontroller](), [Embedded Systems](), [Arm](), [USB](), [Internet of things](), [cpu](), [Hardware]() Tags: [arm](), [boot](), [bootloader](), [c-c-plus-plus](), [cortex-m4](), [cpu](), [development-board](), [embedded](), [embedded-systems](), [hardware](), [industrial](), [iot](), [mcu](), [microcontrollers](), [processors](), [specifications](), [usb]() ### AI overview The article describes Artery Technology's AT32F406 and AT32F408 Arm Cortex-M4F microcontrollers, which run at up to 216 MHz. The AT32F408 adds USB 2.0 OTG High-Speed support with an integrated PHY, while both devices provide DSP and floating-point capabilities, configurable memory options, QSPI, and a range of digital and analog peripherals. ### Source excerpt Artery Technology AT32F406 and AT32F408 are two new Arm Cortex-M4F MCUs running at up to 216 MHz, with the F408 adding USB OTG High-Speed and an integrated PHY for industrial automation, IoT, USB accessories, and gaming peripherals. The AT32F406/F408 series both offer DSP instructions and a floating-point unit (FPU), integrate up to 512 KB Flash and 192 KB SRAM, and a 4 KB OTP memory for critical data and parameters. The microcontrollers also offer a QSPI interface for external Flash or RAM expansion, and a range of digital and analog peripheral interfaces. Artery AT32F406/AT32F408 specifications: MCU - 32-bit Arm Cortex-M4F CPU up to 216 MHz; also features Memory Protection Unit (MPU) and DSP instructions Memory/Storage 128 KB to 192 KB SRAM 256 KB to 512 KB Flash memory 26 KB boot memory (configurable as a bootloader or general instruction/data memory) 4 KB OTP (one-time programmable) memory QSPI interface for external SPI [...] The post Artery AT32F406 and AT32F408 Cortex-M4F MCUs feature optional high-speed USB OTG PHY appeared first on CNX Software - Embedded Systems News. ## TickrCast - An ESP32-S3 HUB75 LED ticker display with server-side rendering and OTA (Crowdfunding) DevFeed: [TickrCast - An ESP32-S3 HUB75 LED ticker display with server-side rendering and OTA (Crowdfunding)]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-03T08:02:56Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [ESP32-S3](), [Embedded Systems](), [Hardware](), [Wi-Fi](), [Bluetooth]() Tags: [bluetooth](), [display](), [embedded-systems](), [esp32](), [esp32-s3](), [espressif](), [flash-encryption](), [hardware](), [iot](), [kickstarter](), [ota](), [video](), [wi-fi](), [wifi]() ### AI overview Layered Ventures LLC has launched TickrCast, an expandable HUB75 LED ticker display built around an ESP32-S3. The consumer product uses Wi-Fi and Bluetooth LE, supports modular panels, plugins, signed OTA firmware updates, and hardware flash encryption. ### Source excerpt Layered Ventures LLC has launched the TickrCast, an expandable HUB75 LED ticker display built around an ESP32-S3. The TickrCast ships as a full consumer product designed to display live esports data, traditional sports scores, social media metrics, and flight tracking across a daisy-chained array of panels. Unlike a typical LED matrix development board, the system is a complete product with a custom controller board, plug-and-play panels, power connectors, a companion app, and an expandable enclosure. The display starts with two panels and can be expanded by adding additional panels, with the company targeting configurations of 10 or more panels. The system is controlled through Wi-Fi, while Bluetooth LE is used for initial provisioning, and the manufacturer provides more than 30 plugins at launch with no subscription required. The platform also supports signed over-the-air (OTA) firmware updates and hardware flash encryption for improved device security. TickrCast controller specifications: ESP32-S3-WROOM-1U wireless module [...] The post TickrCast - An ESP32-S3 HUB75 LED ticker display with server-side rendering and OTA (Crowdfunding) appeared first on CNX Software - Embedded Systems News. ## DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs DevFeed: [DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-03T04:55:46Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [ESP32-P4](), [ESP32](), [ESP-NOW](), [lora](), [Hardware](), [monitor](), [Embedded Systems](), [dashboards]() Tags: [arduino](), [ble](), [c-c-plus-plus](), [display](), [diy](), [esp-now](), [esp32](), [esp32-p4](), [espressif](), [hardware](), [iot](), [lora](), [monitor](), [sensors](), [touchscreen](), [waveshare](), [wifi](), [wifi-6](), [wireless]() ### AI overview This article describes an ESP32-P4 weather station and air quality monitor built from off-the-shelf boards. It uses a 10.1-inch dashboard, a Sensirion SEN66 multisensor, and LoRa and ESP-NOW sensor nodes, with optional weather data from several APIs and no required cloud account. ### Source excerpt Harald Kreuzer has built an ESP32-P4 weather station and air quality monitor that features a 10.1-inch dashboard display and a built-in Sensirion SEN66 sensor for particulate matter, CO2, VOC, and NOX, and connects to wireless LoRa and ESP-NOW sensors. The project is entirely made of off-the-shelf boards, so no custom hardware is used, and it should be relatively easy to reproduce. It doesn't require any cloud or user account, although it can connect to a choice of weather APIs (Open-Meteo, OpenWeatherMap or Visual Crossing) to display weather forecasts. The build is fully documented in a long blog post, so we'll highlight the key features of the project in this article. Hardware specifications for the main unit: Based on ESP32-P4-Module-DEV-KIT-C Credit card-sized ESP32-P4-Module-DEV-KIT SBC based on an ESP32-P4NRW32 module with ESP32-P4 with 32MB PSRAM and ESP32-C6 for WiFi and BLE 10.1-inch IPS panel with 1280 x 800 resolution, 800:1 contrast ratio, [...] The post DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs appeared first on CNX Software - Embedded Systems News. ## Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications DevFeed: [Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-01T14:24:27Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [cpu](), [Arm](), [RISC-V](), [GPU]() Tags: [4g-lte](), [android](), [artificial-intelligence-ai](), [camera](), [cortex-a55](), [cortex-a78](), [dsp](), [embedded](), [embedded-systems](), [hardware](), [hexagon](), [industrial](), [iot](), [linux](), [npu](), [processor](), [products](), [qualcomm](), [qualcomm-dragonwing](), [risc-v](), [ubuntu](), [wifi-5](), [yocto](), [zephyr](), [zephyr-os]() ### AI overview Qualcomm announced the Dragonwing Q-2390 and IQ-2390 quad-core Cortex-A78/A55 processors for consumer, commercial, and industrial AIoT applications. The Q-2390 targets devices such as retail and smart home products, while the IQ-2390 targets industrial automation, machine vision, building management, and energy systems. The processors include optional RISC-V real-time cores, Adreno graphics, Hexagon processing, camera and display interfaces, networking, and support for Android, Yocto Linux, Ubuntu, and Zephyr RTOS. ### Source excerpt Qualcomm has announced the Qualcomm Dragonwing Q-2390 and IQ-2390 quad-core Cortex-A78/A55 processors for AIoT consumer, commercial and industrial applications. The Dragonwing Q-2390 processor is designed for commercial and consumer devices, notably for applications such as retail and smart home products, as well as smart displays and enterprise edge devices, while the Dragonwing IQ-2390 processor is the SKU from the Dragonwing IQ2 Series designed for industrial automation, machine vision, building management and energy systems. Qualcomm IQ-2390 and Q-2390 specifications: CPU 1x Arm Cortex-A78 core up to 1.5 or 1.9 GHz depending on SKU 3x Arm Cortex-A55 cores up to 1.5 or 1.9 GHz depending on SKU Optional SiFive E61 RISC-V real-time core up to 600MHz with 768kB memory Cache - 512 KB L3 cache GPU - Qualcomm Adreno 704 up to 1.1 GHz Audio DSP - Qualcomm Hexagon V66 up to 1.1 GHz NPU - Qualcomm Hexagon up to 1.1 TOPS DPU [...] The post Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications appeared first on CNX Software - Embedded Systems News. ## Connect an ESP device and iPhone directly using Wi-Fi Aware DevFeed: [Connect an ESP device and iPhone directly using Wi-Fi Aware]() Original publisher: [Read original article]() Author: John Lee Published: 2026-08-25T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [Wi-Fi](), [iOS](), [iphone](), [cross-platform](), [P2P](), [Internet of things](), [networking]() Tags: [android](), [app](), [blog](), [cross-platform](), [esp-idf](), [esp-idf-component](), [how-to](), [ios](), [iot](), [iphone](), [ipv6](), [p2p](), [pairing](), [practitioner](), [security](), [wi-fi](), [wi-fi-aware]() ### AI overview This tutorial explains how to connect an ESP device directly to an iPhone using Wi-Fi Aware. It describes service discovery, mandatory six-digit PIN pairing, and an encrypted IPv6 data link without an access point, DHCP server, or internet connection. On supported devices running iOS 26 or iPadOS 26, the connection can operate concurrently with normal Wi-Fi connectivity. ### Source excerpt iOS 26 brings Wi-Fi Aware™ support on iPhone 12 and later, enabling compatible devices to securely discover, pair, and communicate directly. This requires no Access Point and does not affect iPhone's network connectivity over Wi-Fi. This article walks through the steps to set up an ESP device and an iPhone so they can pair and connect using Wi-Fi Aware. ## Open Sourcing ESP RainMaker Neo DevFeed: [Open Sourcing ESP RainMaker Neo]() Original publisher: [Read original article]() Author: John Lee Published: 2026-08-05T00:00:00Z Content type: article Language: en Sources: [Blog on Developer Portal]() Topics: [NEO](), [Esp Rainmaker](), [Open Source](), [Amazon Web Services](), [Internet of things](), [Cloud Architecture]() Tags: [announcement](), [aws](), [aws-iot](), [blog](), [cloud](), [cloud-architecture](), [esp-rainmaker](), [espressif](), [iot](), [matter](), [open-source](), [sdk](), [security]() ### AI overview ESP RainMaker Neo is a new implementation of ESP RainMaker with an entirely open-source device-to-cloud-to-app stack, including a cloud backend released under the Apache License 2.0. It can be deployed in an organization's own AWS account, while existing ESP RainMaker Classic deployments cannot be directly migrated to Neo. ### Source excerpt ESP RainMaker Neo is a new implementation of ESP RainMaker in which the entire device-to-cloud-to-app stack, including the cloud backend, is open source under the Apache License 2.0. This article explains what Neo is, why we rebuilt RainMaker on native AWS IoT services, what open source means in practice for your product, and how Neo relates to ESP RainMaker Classic. ## How Yandex is building a cloud platform for smart-home devices without a hub DevFeed: [How Yandex is building a cloud platform for smart-home devices without a hub]() Original publisher: [Read original article]() Author: IvanovVadimVladimirovich (Яндекс) Published: 2026-07-28T08:00:37Z Content type: article Language: ru Sources: [Яндекс - Как мы делаем Яндекс / Статьи]() Topics: [Internet of things](), [cpu](), [TLS (Transport Layer Security)]() Tags: [cloud](), [cpu](), [embeded](), [iot](), [smartdevices](), [tag-4d6d71beb3c0](), [tag-cf299fffcf93](), [tls]() ### AI overview This developer article describes Yandex's new smart-home device platform, designed to operate without a mandatory hub and support more than one million active devices. It covers BLE-based commissioning, a single cloud connection, a single-threaded execution model, and reconnection handling for unreliable home networks. ### Source excerpt Убрать обязательный хаб из умного дома -- звучит как продуктовое решение. На практике в этой формулировке спрятано много неприятной инженерии. Устройство должно само войти в экосистему, само держать долгоживущее облачное соединение, само обновляться -- в общем, всё делать без посредника. И это на железе с ограниченной памятью и слабым CPU, в домашней сети, которая в любой момент может пропасть. На таком масштабе каждый лишний TLS-коннект, каждая дополнительная аллокация, каждый хрупкий ретрай начинает стоить по-настоящему дорого. Мощным бэкендом здесь не поможешь: ограничение -- на клиентской стороне. Поэтому мы шли в обратную сторону: последовательно убирали лишнюю сложность на каждом слое -- от заводского контура до транспортного канала. Мы строим новую платформу для устройств умного дома Яндекса, которая должна держать больше миллиона активных устройств. В этой статье -- про конкретные решения: комиссионинг без хаба, один канал вместо зоопарка соединений, однопоточную модель исполнения и дисциплину переподключений на плохой сети. Читать далее ## RFC 9880 and the IoT Validation Problem DevFeed: [RFC 9880 and the IoT Validation Problem]() Original publisher: [Read original article]() Author: Stefano Fago Published: 2026-07-26T00:00:00Z Content type: article Language: en Sources: [Nicolas Fränkel]() Topics: [Internet of things](), [SDF](), [data](), [JSON](), [Code](), [CoAP](), [MQTT](), [HTTP](), [TLS (Transport Layer Security)]() Tags: [architecture](), [code](), [data](), [development](), [iot](), [json](), [protocol](), [sdf](), [standards](), [validation]() ### AI overview This article examines RFC 9880 and its Semantic Definition Format (SDF) as an ecosystem-neutral, JSON-based way to describe IoT devices. It argues that SDF validation is best understood as a compilation problem and discusses how different IoT ecosystems represent the same physical concepts incompatibly. ### Source excerpt The IoT/IIoT world has a data model problem and the concept of Digital Twin has made this issue more important. Plenty of people have tried to fix it. RFC 9880 and its Semantic Definition Format (SDF) are a serious attempt: a JSON-based, ecosystem-neutral way to describe what a device is and what it does. I have had some experiences with this specification, and I've understood that the format shows its full value once you treat it as source code, something you compile. ## Creating an environmental logger - Part 1 DevFeed: [Creating an environmental logger - Part 1]() Original publisher: [Read original article]() Author: John Lee Published: 2026-07-15T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32](), [ESP-IDF](), [Logging](), [Terminal](), [Internet of things](), [data](), [Library]() Tags: [article](), [blog](), [esp-idf](), [esp32](), [filesystem](), [how-to](), [i2c](), [iot](), [logging](), [sensor](), [vs-code]() ### AI overview This tutorial explains how to build an environmental logger with an ESP32-C61-Devkit-C, a DHT20 temperature and humidity sensor, and ESP-IDF. Part 1 covers reading the sensor over I2C and storing measurements in a little_fs filesystem on the module's flash memory. ### Source excerpt This article shows how to create a simple environmental logger using the DHT20 sensor and store the data on a little_fs filesystem on the module's flash memory. ## IoTorero joins Works with Home Assistant DevFeed: [IoTorero joins Works with Home Assistant]() Original publisher: [Read original article]() Author: Miranda Bishop Published: 2026-07-09T00:00:01Z Content type: news Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [Internet of things](), [Hardware](), [Open Source](), [Code](), [GitHub]() Tags: [community](), [customers](), [devices](), [firmware](), [github](), [hardware](), [internet-of-things](), [iot](), [manufacturing](), [open-source](), [products](), [remote-access](), [research-development](), [smart-home](), [works-with-home-assistant]() ### AI overview IoTorero joins the Works with Home Assistant program with seven certified devices pre-flashed with ESPHome. The company focuses on open source smart home hardware, including smart plugs and relays, and publishes device configuration files on GitHub. ### Source excerpt The Works with Home Assistant program powers up this month as we welcome our new partner, IoTorero! 🎉 Experts in pre-flashed smart home hardware, IoTorero bring the very first ESPHome-ready smart plugs and relays to the program (and that's not all). IoTorero enters the ring If you've spent any time browsing pre-flashed smart home tech online, there's a good chance you've come across IoTorero. And if you haven't, let us introduce you! Founded in 2020, the company (formerly Athom Technology) was tinkering with ESPHome right out of the gate. Their new name is a nod to the Internet of Things (IoT), but unlike standard IoT gadgets that stop working if your internet drops or a company closes its servers, IoTorero champion open source firmware. Other smart devices run manufacturer-written software, which is tuned to work well with Home Assistant for certification to the program. IoTorero go a step further to make sure their tech is accessible for all: all seven of their certified devices are pre-flashed with ESPHome, meaning there's no installation required - the devices will integrate into your Home Assistant setup straight out of the box. And because their devices are genuinely open, you can always tweak and customize them if you want to. "Since inception in 2020, IoTorero (Athom Technology) has been dedicated to the research, development, and manufacturing of open source smart home hardware products. We provide Home Assistant users with high-quality devices pre-flashed with ESPHome firmware. By joining the Works with Home Assistant program, we ensure that customers can select and purchase our products with complete confidence." - Aiden Tang, CTO and Co-Founder, IoTorero That same spirit of openness carried over to last year's Community Day, where IoTorero donated a stack of samples for attendees to try - a gesture we loved to see, and one that speaks to how seriously they take supporting our community 💪. It shows up in their approach to code, too: IoTorero maintain a pu ## Developing a Zephyr IoT app with AI DevFeed: [Developing a Zephyr IoT app with AI]() Original publisher: [Read original article]() Author: John Lee Published: 2026-06-15T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [AI Agent](), [Embedded Software Dev](), [Internet of things](), [Artificial Intelligence](), [cursor](), [Testing](), [C](), [Git](), [Open Source](), [real-time]() Tags: [agent](), [ai](), [ai-agent](), [blog](), [code](), [coding](), [cursor](), [development](), [drivers](), [embedded](), [esp](), [esp-idf](), [espressif](), [experiment](), [firmware](), [git](), [how-to](), [iot](), [llm](), [m5stack](), [testing](), [workflow](), [zephyr]() ### AI overview This article describes applying an AI-agent workflow to develop a Zephyr-based IoT application on the ESP DualKey kit from M5Stack. It emphasizes specifications, project boundaries, Git discipline, testing, and bench validation while moving the implementation from ESP-IDF and Rust to Zephyr C. ### Source excerpt Still on improving our AI-based, embedded software workflow, this article applies the same AI-agent discipline to Zephyr. Using the same ESP Dualkey kit from M5Stack, specs, integration rules, plan->execute->commit->test, reusable modules, journals, and Git - without redefining the product. ## ESP-IDF tutorial series: Wi-Fi Provisioning DevFeed: [ESP-IDF tutorial series: Wi-Fi Provisioning]() Original publisher: [Read original article]() Author: John Lee Published: 2026-05-29T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [Provisioning](), [Wi-Fi](), [Internet of things](), [ESP-IDF](), [Security](), [Authorization](), [Android](), [iOS]() Tags: [android](), [app](), [authorization](), [blog](), [esp-idf](), [ios](), [iot](), [network](), [provisioning](), [security](), [tutorial](), [wi-fi]() ### AI overview This tutorial explains Wi-Fi provisioning for IoT devices using an ESP device. It covers the basic SoftAP flow, including an HTTP server for collecting network credentials through a smartphone, and introduces Espressif's network_provisioning component and ESP SoftAP Prov app. ### Source excerpt This article explains what Wi-Fi provisioning is, introduces the network_provisioning component, and walks through a complete SoftAP-based provisioning example using the ESP SoftAP Prov app. ## Building Svitgrid, a Solar Monitoring Platform for Home Systems DevFeed: [Building Svitgrid, a Solar Monitoring Platform for Home Systems]() Original publisher: [Read original article]() Author: Ivan Ursul Published: 2026-05-21T00:00:00Z Content type: article Language: en Sources: [Ivan Ursul]() Topics: [Monitoring](), [dashboards](), [real-time](), [Fastify](), [Flutter](), [Modbus](), [TypeScript](), [Cloud Run](), [ESP-IDF](), [ESP32-S3](), [Firestore](), [Mobile]() Tags: [android](), [battery](), [cloud-run](), [energy-monitoring](), [esp-idf](), [esp32](), [esp32-s3](), [firestore](), [flutter](), [gcp](), [iot](), [java](), [migrations](), [mobile](), [modbus](), [mongodb](), [monitoring](), [real-time](), [side-project](), [solar](), [typescript](), [web]() ### AI overview This article explains how Svitgrid, a solar monitoring platform for residential systems, was built. It covers the product's goals, cross-platform clients, cloud backend, ESP32-S3 edge hardware, inverter data paths, and support for multiple inverter systems over Modbus TCP. ### Source excerpt Svitgrid dashboard: real-time power flow from PV to battery, home, and grid ## Developing a Rust-based IoT device with AI DevFeed: [Developing a Rust-based IoT device with AI]() Original publisher: [Read original article]() Author: John Lee Published: 2026-04-20T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [Rust](), [AI-assisted coding](), [Internet of things](), [ESP32]() Tags: [ai](), [ai-assistants](), [ai-coding](), [blog](), [coding-agents](), [esp32](), [how-to](), [iot](), [llm](), [pitfalls](), [rust](), [verify]() ### AI overview This article describes a rough, hands-on workflow for building a WiFi, BLE, and provisioning device with Rust and AI on the ESP DualKey, an ESP32-S3-based kit from M5Stack. It emphasizes clear specifications, pinned crates, reference implementations, and a tight verification loop. ### Source excerpt AI assistants are most effective on ESP32 Rust firmware when you supply clear specs, pinned crates, reference implementations (often ESP-IDF C), and a tight verify loop. The article discusses good practices, pitfalls, discipline, and entropy. A brief explanation about the device is also included, along with the repository and all artifacts. ## Connecting an ESP32 to the Cloud DevFeed: [Connecting an ESP32 to the Cloud]() Original publisher: [Read original article]() Author: John Lee Published: 2026-04-14T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [ESP32](), [Tutorial](), [data](), [Internet of things](), [Cloud](), [HTTP](), [JSON](), [TLS (Transport Layer Security)]() Tags: [blog](), [cloud](), [data](), [esp32](), [http](), [iot](), [json](), [protocol](), [tls](), [tutorial](), [udp]() ### AI overview This tutorial explains how to connect an ESP32 sensor to a cloud platform using a compact UDP datagram instead of the usual HTTP, JSON, and TLS approach. It presents TagoTiP, an open specification for structured IoT data, and describes frames of about 130 bytes with typed variables, units, device identification, and authorization information. ### Source excerpt Connecting an ESP32 to a cloud platform usually means HTTP libraries, JSON parsers, and TLS handshakes. This tutorial shows a different approach: a single UDP datagram, built with snprintf, carrying structured sensor data in about 130 bytes. The TagoTiP open specification makes it possible by defining the data structure so you don't have to. [Next page]()