This project demonstrates computer-vision → microcontroller interaction. It uses MediaPipe + OpenCV on the PC to detect facial expressions (smile / neutral / frown) and fingers (0–5). The PC sends ...
This project is a real-time person tracking system that utilizes the YOLOv8 object detection model to detect and track a person in a video feed from a webcam. By analyzing the person's position within ...
The official Arduino blog has announced the availability of the new Portenta Vision Shield with LoRa designed to fit on top of the Arduino Portenta family. The Arduino Portenta boards feature ...
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