ESP32-CAM Object Detection with YOLOv8 | Full Python Setup Guide
In this video, I show how to build real-time object detection using ESP32-CAM and YOLOv8 with Python. This tutorial covers complete setup from installation to live detection. š¹ Full Setup Steps: Step 1 ā Install Python (latest version) Step 2 ā Create project folder Step 3 ā Create Python file (example: detect.py) Step 4 ā Open VS Code or any code editor Step 5 ā Install required libraries using terminal Step 6 ā pip install ultralytics opencv-python requests numpy Step 7 ā Load YOLOv8 model Step 8 ā Connect ESP32-CAM stream Step 9 ā Run Python script Step 10 ā View live object detection output This project demonstrates real-time AI object detection using ESP32-CAM and Python. Perfect for beginners and IoT enthusiasts. š Components Used: ESP32-CAM Python YOLOv8 (Ultralytics) OpenCV If you enjoy DIY electronics, robotics projects, and sci-fi inspired engineering, subscribe and follow the journey from idea to prototype. New videos every week. #ESP32CAM #YOLOv8 #ObjectDetection #PythonAI #iotprojects #arduino #diy #subscribe #yolo #like

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