YOLO CV Arduino

Project Overview

A hardware-software integration project that bridges advanced computer vision with physical microcontrollers. Utilizing the YOLOv8 object detection model running on a local machine, the pipeline processes live video feeds, detects specific target objects with bounding boxes, and communicates spatial coordinates via serial port to an Arduino for automated physical actuation.

Key Features

• Real-time object detection and classification using YOLOv8.
• Low-latency serial communication protocol between Python and Arduino.
• Automated hardware actuation (LEDs/Servos) based on spatial CV data.
• Custom-trained model weights for specific target objects.
• Optimized inference pipeline for high frame-rate processing.