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IoT Safety Helmet Detection System

AI on Edge with 3-Second Updates • December 2018

87% Accuracy
Edge AI
Real-time
IoT
🏭

Factory

📹
8MP • 1080p
👷
👤
👷
🖼️
🖼️
🖼️
2-3 FPS
🥧

Pi 3 Model B

Tiny YOLO • 6.2MB

1.2GHz Quad-Core
1GB RAM
~450ms/frame
⚠️ No Helmet!
🖼️
🖼️
HTTP POST
Every 3sec
📡
WiFi
Devices
💻
📱
📱

Access via Browser

HTTP GET

Detection Accuracy

Fine-tuned on 2500 factory images

Helmet
94.4%
No Helmet
~85%
Overall mAP50
87%
78% baseline87% fine-tuned (+9%)
🎯
87%
Accuracy
1-2 FPS
Speed
💰
$95
Hardware
🔧
60%
Time Saved
📦 Hardware Cost
Pi 3 ($35) + Camera ($25) + SD Card ($10) + Power ($10) = $95 total
⚡ Processing Pipeline
1080p → 416×416 resize → Tiny YOLO inference → POST every 3sec
🏷️ Smart Labeling
Custom WinForms tool for model-assisted annotation • 60% faster than manual
Python
PyTorch
Tiny YOLO
Raspberry Pi 3
Flask
OpenCV