Hello, this is Mon-kichi! Up until the last post, we have set up everything from the initial Raspberry Pi 5 setup to building a remote development environment, camera control via OpenCV, and an MJPEG ...

This project builds a complete machine learning pipeline for detecting 25 fruit and produce classes from webcam frames. It includes data collection support, automatic YOLO bounding-box generation, ...

Your browser does not support the audio element. In this article, I want to share my experience developing an iOS application for a robotic microscope with AI-based ...

Both models run simultaneously on the same camera frame using a multi-threaded pipeline, and their bounding boxes are merged into a single unified display — providing real-time visual feedback with ...