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.

🔹 Full Setup Steps:

Step 1 – Install Python (latest version)
Step 2 – Create project folder
Step 3 – Create Python file (example: detect.py)
Step 4 – Open VS Code or any code editor
Step 5 – Install required libraries using terminal
Step 6 – pip install ultralytics opencv-python requests numpy
Step 7 – Load YOLOv8 model
Step 8 – Connect ESP32-CAM stream
Step 9 – Run Python script
Step 10 – View live object detection output

This project demonstrates real-time AI object detection using ESP32-CAM and Python.

Perfect for beginners and IoT enthusiasts.

📌 Components Used:

ESP32-CAM

Python

YOLOv8 (Ultralytics)

OpenCV

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Видео ESP32-CAM Object Detection with YOLOv8 | Full Python Setup Guide канала Proto Vision