Computer Vision 101: Build a Real-Time Phone Detector
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
If you enjoyed the video:
• Like the video
• Subscribe to the channel
• Share it with friends interested in AI and Python
Let me know in the comments what AI project you'd like to see next.
#Python #YOLOv8 #OpenCV #ArtificialIntelligence #ComputerVision #MachineLearning #DeepLearning #PythonProjects #AIProjects #ObjectDetection #Coding #Programming #YOLO #Ultralytics #PythonTutorial #BeginnerProjects #RealtimeDetection