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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On this page of the site you can watch the video online ESP32-CAM Object Detection with YOLOv8 | Full Python Setup Guide with a duration of hours minute second in good quality, which was uploaded by the user Proto Vision 15 February 2026, share the link with friends and acquaintances, this video has already been watched 920 times on youtube and it was liked by 30 viewers. Enjoy your viewing!