Mixtile Edge 2 IoT edge device is a multipurpose computer with RK3568


https://www.electronics-lab.com/mixtile-edge-2-iot-edge-device-is-a-multipurpose-computer-with-rk3568/

We recently covered the release of Mixtile Blade 3 single-board computer, which is going to be launched in Crowdfunding, and comes equipped with Rockchip RK3588 SoC, runs a hybrid Android and Linux distribution. Chinese embedded device manufacturer Mixtile Limited has gone ahead and unveiled another Edge 2 single-board computer and an Edge 2 Kit both […]

Mixtile Blade 3 – A stackable and high-performance single-board computer with RK3588


https://www.electronics-lab.com/mixtile-blade-3-a-stackable-and-high-performance-single-board-computer-with-rk3588/

A new single-board computer is hitting crowdfunding very soon! Shenzhen-based embedded device manufacturer Mixtile Limited has unveiled details on its latest Mixtile Blade 3 single-board computer powered by the Rockchip RK3588 system on chip in Pico-ITX form factor. This high-performance stackable board is designed for the rapid development and prototyping of AI applications at the […]

Meet the ALL-NEW NVIDIA AGX Orin Developer Kit for Edge AI applications


https://www.electronics-lab.com/meet-the-all-new-nvidia-agx-orin-developer-kit-for-edge-ai-applications/

Last month, NVIDIA announced the availability of the Jetson AGX Orin Developer Kit to deliver 275 trillion operations per second for energy-efficient advanced robotics and machine learning applications. There has been a lot of movement around the new NVIDIA developer kit that offers 8 times the performance of the previously well-known NVIDIA Jetson AGX Xavier […]

AnalogLamb’s $19.99 Maple Eye AI development board with ESP32-S3 and ESP-WHO AI framework


https://www.electronics-lab.com/analoglambs-19-99-maple-eye-ai-development-board-with-esp32-s3-and-esp-who-ai-framework/

There have been several recent developments around TinyML and edge AI applications, and to supply the increasing demand from the developer community, many embedded electronic device manufacturers around the world are designing AI development boards. Beijing-based online embedded hardware store AnalogLamb has listed a $19.99 Maple Eye AI development board with two onboard Espressif system-on-chips. […]

A novel approach for in-pixel processing for resource-constrained edge AI applications


https://www.electronics-lab.com/a-novel-approach-for-in-pixel-processing-for-resource-constrained-edge-ai-applications/

Computer vision applications that range from object detection and pattern recognition to computational healthcare and security surveillance systems take the input image for further processing, which in traditional hardware implementation has a vision sensing and vision processing platform as a separate entity within the AI system. The segregation of CMOS-based vision sensor platforms and vision […]

VIA SOM-9X35 Starter Kit for Edge AI IoT


https://www.electronics-lab.com/via-som-9x35-starter-kit-for-edge-ai-iot/

The VIA SOM-9X35 is a low-power quad-core MediaTek i350 based processor board, ideal for IoT solutions and edge AI use cases, like facial recognition, object identification, motion tracking, OCR, and bio-metric measurement. To further accelerate product development time, a VIA SOM-9X35 starter kit has been assembled by the manufacturers themselves. The kit constitutes of the […]

TinyML Image Classification On ESP32-CAM Development Board and Edge Impulse Studio


https://www.electronics-lab.com/tinyml-image-classification-on-esp32-cam-development-board-and-edge-impulse-studio/

Recent breakthroughs in embedded machine learning have increased the demand for TinyML applications. In dealing with TinyML, there is an excellent platform to get started and build complex projects, Edge Impulse. We have also witnessed several new embedded devices coming to market primarily designed with TinyML capabilities. This is only possible because of the support […]

What is AI inference at the edge?


https://www.electronics-lab.com/what-is-ai-inference-at-the-edge/

The conventional style of using network connectivity in bringing artificial intelligence models to improve performance and efficiency needs some modification to meet the demands from the embedded systems to the automobile industry. Before directly jumping to the role of AI inference at the edge, let us understand the difference between training and inference. Machine learning […]

Kendryte K510 is Tri-core RISC-V Processor for Edge AI applications


https://www.electronics-lab.com/kendryte-k510-is-tri-core-risc-v-processor-for-edge-ai-applications/

We have come across multiple hardware development boards and MCUs that employ Edge AI for processing and computing. On the other hand, cloud computing was traditionally preferred as an alternative for implementation due to its scalability and easier to develop applications on the cloud platform. However, it comes at the expense of data transmission latency […]

Meet Jetson Xavier NX based BOX PC – DSBOX-NX2


https://www.electronics-lab.com/meet-jetson-xavier-nx-based-box-pc-dsbox-nx2/

With the increasing popularity of the NVIDIA Jetson Xavier NX for its high-performance best-in-class deep learning accelerator, many manufacturers in the embedded electronic devices have started to release modules that work on this AI-edge device. One of the most recent releases was the industry’s first industrial AI smart camera for AI vision solutions. With the […]