Face Mask Detection System Using Raspberry Pi with Automatic Gate Controlling
Project Price Starts From ₹10,000
The Face Mask Detection System Using Raspberry Pi with Automatic Gate Controlling is an AI-based access-control system that detects whether a person is wearing a face mask before allowing entry. A camera captures the person's face, and an AI/ML model analyzes the image in real time.
If a mask is detected, the system automatically opens the gate. If no mask is detected, the gate remains closed and the system can activate a buzzer or display an alert. Detection results and gate activity can also be recorded and displayed on a web dashboard.
AI-Based Features
🤖 Real-Time Face Mask Detection
📷 Camera-Based Monitoring
🧠 AI/ML Image Classification
🚪 Automatic Gate Control
⚠️ No-Mask Alert
📊 Detection History
🌐 Optional Web Dashboard
📈 Entry Activity Monitoring
Objectives
✅ Automatic Mask Detection
✅ AI-Based Face Recognition/Detection
✅ Automatic Gate Opening
✅ No-Mask Access Prevention
✅ Real-Time Camera Monitoring
✅ Buzzer & LED Alert
✅ Entry Data Logging
✅ Web-Based Monitoring
✅ Contactless Access Control
✅ Low-Cost AI Security System
Web Dashboard Features
📷 Live Camera Feed
😷 Mask/No-Mask Status
🚪 Gate Status
👤 Detection Count
📊 Detection History
⚠️ No-Mask Alerts
📅 Entry Logs
🔧 Manual Gate Control
🌐 Remote Monitoring
Applications
🏥 Hospitals
🏫 Schools & Colleges
🏢 Offices
🏭 Industries
🛒 Shopping Centers
🏦 Banks & Public Buildings
🚪 Restricted Entry Areas
🎓 AI & Raspberry Pi Projects
📦 Includes:
✅ Complete Source Code • AI Mask Detection Model • Raspberry Pi Setup • Gate Control System • Circuit Diagram • Web Dashboard • Documentation • Project Report • Installation Guide • User Manual • Technical Support