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Open Vision PPE Monitoring

Open vision model-powered boundary surveillance, PPE compliance monitoring, intrusion detection, and digital SOP compliance through real-time video analytics. Runs on-premise.

Open Vision PPE Monitoring
// overview

Desktop application powered by open vision models, processing live camera feeds through a deep learning pipeline. PPE detection (helmet, vest), restricted zone monitoring, person tracking with IN/OUT counting. All data in SQLite. Daily PDF + Excel reports auto-emailed. No cloud, no servers, no internet required.

// specs

Specifications

DetectionYOLOv8n at 15-20 FPS
TrackingByteTrack multi-person tracking
FaceInsightFace 512-dim embeddings
DeploySingle .exe via PyInstaller, no cloud
// features

Features

  • 01YOLOv8n Person Detection at 320x320, 50% confidence threshold
  • 02ByteTrack multi-person tracking with IoU and 30-frame history
  • 03PPE compliance check + zone violation detection
  • 04InsightFace 512-dim embeddings for face recognition
  • 05Direction counting (IN/OUT) with live bounding boxes
  • 06SQLite storage, PDF/Excel reports, SMTP email delivery
// tech stack

Tech Stack

YOLOv8nByteTrackInsightFaceOpenCVPyQt5SQLiteStreamlitPyInstaller

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