Computer Vision 101: Build a Real-Time Phone Detector
23 Oct 2026 · 3 views
Build Your Own AI Phone Detection System using YOLOv8 & OpenCV | Beginner Friendly Tutorial Ever wondered how AI can look at a camera feed and instantly recognize objects like people, phones, cars, and more? In this video, we'll build a complete AI-powered Phone Detection Alert System from scratch using Python, OpenCV, and YOLOv8. By the end of this tutorial, you'll understand: • What Computer Vision is • What OpenCV is and why it's used • What YOLOv8 is and how it works • How to install Python, OpenCV, and YOLOv8 • How to access your webcam using Python • How Object Detection works in real time • How to build a Phone Usage Detection Alert System • How YOLO already knows 80 different objects • How to train YOLO on your own custom dataset (overview) Technologies Used: • Python • OpenCV • YOLOv8 • Ultralytics Installation Commands: pip install opencv-python pip install ultralytics Project Features: • Real-Time Object Detection • Person Detection • Mobile Phone Detection • Alert System • Beginner Friendly • Custom Dataset Ready Source Code / GitHub Repository: https://github.com/thepakhisingh/tute... Chapters: 00:00 preview 00:07 Introduction 00:57 What is Computer Vision? 02:10 What is YOLOv8? 02:40 What is OpenCV? 03:27 Installing Python 03:51 Installing Libraries 04:30 Building Phone Detection System 05:02 Testing the Project 05:31 COCO Dataset Explained 06:04 Custom Dataset Overview 07:00 Conclusion/Outro