Скачать или смотреть AI-Powered PPE Detection System | Real-Time Safety Monitoring Python YOLOv8 OpenCV + Source Code

🦺🚀 Build an AI-powered Personal Protective Equipment (PPE) Detection System using Python, YOLOv8, OpenCV, and Flask!

In this project, we’ll create a real-time safety monitoring solution that detects whether workers are wearing helmets, vests, masks, gloves, and shoes — ensuring workplace safety and compliance.

🔑 What You’ll Learn

✅ Setting up YOLOv8 for real-time detection
✅ Integrating OpenCV for video stream processing
✅ Building a Flask dashboard for live monitoring
✅ Handling low-light, occlusions, and motion blur
✅ Deploying the system for construction sites, warehouses & factories

📌 Applications

🏗 Construction Sites | 🏭 Manufacturing Plants | 📦 Warehouses | ⚡ Industrial Safety

⏱ Chapters (PPE Project – Each Module Duration)

00:00–00:50 – Outcome of the Project
00:50–02:50 – Introduction of the Project
02:50–05:11 – Brief Overview of the Project
05:11–07:10 – File Uploaded on Google Colab
07:10–09:37 – Dataset Visualization
09:37–10:59 – PPE Model Information
10:59–17:23 – PPE Code Execution
17:23–18:01 – VS Code Open
18:01–20:06 – Packages and Module Import
20:06–21:16 – NVIDIA Nim Information
21:16–24:40 – API Information
24:40–25:26 – File Format
25:26–35:22 – Predict API
35:22–36:18 – Get API
36:18–41:56 – Code Execution
41:56–42:30 – Conclusion

🧠 Key Techniques of the Project

1️⃣ Computer Vision
2️⃣ OpenCV
3️⃣ Face Detection
4️⃣ Face Recognition
5️⃣ Machine Learning
6️⃣ Python
7️⃣ Artificial Intelligence
8️⃣ Image Processing
9️⃣ Deep Learning

📥 Get the Full Source Code & Dataset

🔗 [ www.scratchlearn.com/projects/ppe-detection-for-workplace-safety.html ]

🎯 Who Should Watch

Students | AI Enthusiasts | IoT Developers | Computer Vision Learners

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