# dfrobot

Published articles for dfrobot.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## 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.

## Building a DIY handheld thermal camera for work and play

DevFeed: [Building a DIY handheld thermal camera for work and play](<https://devfeed.tech/articles/building-a-diy-handheld-thermal-camera-for-work-and-play-13651.md>)

Original publisher: [Read original article](<https://blog.arduino.cc/2026/09/03/building-a-diy-thermal-camera-for-work-and-play/>)

Author: Arduino Team

Published: 2026-09-03T18:19:43Z

Content type: tutorial

Language: en

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

Topics: [Arduino](<https://devfeed.tech/topics/arduino.md>), [data](<https://devfeed.tech/topics/data.md>), [Image](<https://devfeed.tech/topics/image.md>), [3D](<https://devfeed.tech/topics/3d.md>), [User interface design](<https://devfeed.tech/topics/ui-design.md>)

Tags: [3d-printed](<https://devfeed.tech/tags/3d-printed.md>), [arduino](<https://devfeed.tech/tags/arduino.md>), [dfrobot](<https://devfeed.tech/tags/dfrobot.md>), [display](<https://devfeed.tech/tags/display.md>), [diy](<https://devfeed.tech/tags/diy.md>), [diy-thermal-camera](<https://devfeed.tech/tags/diy-thermal-camera.md>), [i2c](<https://devfeed.tech/tags/i2c.md>), [range](<https://devfeed.tech/tags/range.md>), [thermal-camera](<https://devfeed.tech/tags/thermal-camera.md>), [thermal-imaging](<https://devfeed.tech/tags/thermal-imaging.md>), [touchscreen](<https://devfeed.tech/tags/touchscreen.md>), [uno-r4](<https://devfeed.tech/tags/uno-r4.md>)

### AI overview

This article describes a DIY handheld thermal camera built with an Arduino UNO R4 Minima, a Seeed Studio MLX90640 thermal imaging sensor, and a DFRobot touchscreen. The board reads the sensor's 32x24 infrared data over I2C, processes it into an image, and displays it through a user interface in a 3D-printed enclosure.

### Source excerpt

Thermal cameras are really cool, because they give you the ability to clearly see something we humans usually can't: temperature. It is interesting to look at the world through that lens. Thermal cameras are also very useful when working with anything that involves heat, such as for spotting a leak in an HVAC system or [...] The post Building a DIY handheld thermal camera for work and play appeared first on Arduino Blog.

## 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.