Tag: Edge AI

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...

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...

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...

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...

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...

Lanner’s Edge Computing Appliances, Combined with the Hailo-8™ AI Acceleration Module, Offers the Highest Performance, Lowest Power, and Most Cost-Effective Edge AI Hardware Solutions for Smart Cities, Smart Retail and Industry 4.0 Leading AI (Artificial Intelligence)...

Industrial automation company Flicq has introduced its 2nd generation Edge AI smart sensor board, for Industrial Internet of Things (IIoT) with the launch of SmartEdge. Claiming to be the world’s smallest Edge AI smart sensor board, SmartEdge delivers plug-and-play asset monitoring...

As the immense value proposition of Edge Computing becomes more obvious, Chip manufacturers are working twice as hard to be the one that develops the SOC, FPGA, or MPU that provides designers with all that is needed to develop powerful Edge AI-based solutions. While a lot of progress...