The OpenMV project brings machine vision to beginners with a user-friendly, open-source platform. OpenMV cameras are programmable in Python3 and feature advanced AI capabilities, including support for ...

OpenMV has launched a new Kickstarter campaign introducing the OpenMV N6 and AE3, two low-power AI-enabled cameras designed to bring machine vision to a wider range of applications. Known for its ...

Visual awareness is an indispensable sense to human beings, and it is becoming indispensable to smart machines as well. Machine vision is finding its way into a myriad of applications such as smart ...

This project is an advanced autonomous driving robot built with LEGO Mindstorms EV3 and the Pybricks framework. It goes beyond simple line following to systematically execute complex, sequential ...

OpenMV has launched two new edge AI camera boards programmable with MicroPython: the OpenMV AE3 powered by an Alif Ensemble E3 dual Cortex-M55, dual Ethos-U55 micro NPU SoC, and the larger OpenMV N6 ...

Makers, developers and hobbyists that have considered adding advanced machine vision to their project may be interested in a new small affordable and expandable development board called the OpenMV Cam ...

Developers, makers and enthusiasts building embedded vision machine learning projects may be interested to know that Adafruit has this week announced the arrival a new camera to their store in the ...

[iforce2d] has an interesting video exploring whether the OpenMV H7 board is viable as a flyby camera for pick and place, able to quickly snap a shot of a moving part instead of requiring the part to ...

Abstract: In this study, an intelligent pill sorting machine based on OpenMV and Manipulator is designed to solve the problems of inefficiency and manual errors in traditional pill sorting. The system ...

The future is a scary place, full of robots, drones, and smart appliances with cameras and vision systems that will follow your dog, your child, or your face around, dutifully logging everything they ...

Abstract: The demand for real-time sweat biosensing is increasing in daily health monitoring. Colorimetric detection, as a simple and intuitive method, plays an important role in sweat biosensing.