Running computer vision applications based on machine learning used to be troublesome. It would generally require a lot of computational power to get a useful result. However, with the introduction of Tensorflow Lite for microcontrollers, the world of tiny machine learning (tinyML) devices is growing
We recently saw the Himax WE-I Plus EVB development board which boasts some really interesting hardware for performing AI on the edge. In essence, the board is powered by WE-I Plus ASIC (HX6537-A) and can classify a single image at 96×96 pixels in just over
Automation through Artificial Intelligence (AI), we feel, is the present and future of our society. The ongoing Fourth Industrial Revolution (Industry 4.0), which allows our industries to automate industrial processes, confirms this. To achieve such autonomy, smart computer vision and sensors play an important role.
With the recent boom in Artificial Intelligence technologies, there’s a huge demand for hardware capable of performing AI on the edge. So, a lot of electronics manufacturers are coming up with their own products, flooding the market with numerous AI boards. To stand out from
Yet another development board with RP2040 SoC, ArduCam has announced its Arducam Pico4ML dedicated to machine learning applications. The silicon-based RP2040 SoC being a cost-effective solution to support edge computing with low-power specifications. We also saw Arduino’s RP2040 Nano Connect Board which aims at combining
