An interactive list of features and reviews to help you pick the right microcontroller for your projects.
Make: Volume 91’s cover focuses on RP2350-based boards, and Pimoroni are a leading adopter of Raspberry Pi’s new silicon. Their Plasma board is a USB-C powered controller for addressable RGB LED strips, with screw terminals for easy attachment, a Qwiic connector for convenient expansion, and 3A of juice to power fun glowies like their optional […]
Another leader in embedded vision, Arducam have been pumping out a multitude of industry-ready yet maker-accessible products since 2012. The PiNSIGHT fuses a 4K camera plus hardware-based encoding and AI acceleration with your existing Raspberry Pi 5 to create an “intelligent vision hub” with extensive available pre-trained computer vision models supported by great documentation and […]
OpenMV are the “Arduino of Machine Vision” and their latest-gen smart camera board features the same pioneering MicroPython-based implementation with an updated 600Mhz i.MX RT1060 Arm Cortex-M7 and built-in Wi-Fi. Compatibility with over a dozen existing shields and a modular camera system makes theirs the ideal board for a range of AI projects.
Another AI-in-a-box solution is the Person Sensor from Useful Sensors (not to be confused with their product literally named “AI in a Box”). This thumbnail-sized board uses its built-in camera and smarts to detect and identify faces, without requiring users to obtain a degree in machine learning. In addition to making it simple to use, […]
As the artificial intelligence ecosystem continues to mature, more application-specific hardware is beginning to emerge. Perhaps the most striking example of this trend is Seeed’s open-source physical AI agent, Watcher. This device combines local AI processing via its Himax WiseEye2 HX6538 chip with cloud or on-premise assistance for more complicated tasks, allowing you to, for […]
One of the first exciting new releases of 2024 was the open-source AI-focused BeagleY-AI from BeagleBoard. A departure from their typical “cape” headers, the BeagleY adopts a Pi-like form factor, with quad 1.4GHz 64-bit Arm Cortex-A53 cores, a powerful GPU supporting three simultaneous displays, and a built-in 4 TOPS AI co-processor.
