Vigil AI: Workplace Safety Monitoring System

Authors

  • Aaliya Khan Author
  • Sejal Ubale Author
  • Rimjhim Chauhan Author
  • Dr. Ranjana Kumari Author
  • Dr. Nandini Nag Author

Keywords:

AI-powered workplace safety monitoring system, OpenCV, YOLOv11 detection, centralized dashboard,Next.js, Flask-SocketIO

Abstract

Vigil AI is an AI-powered workplace safety monitoring system that continuously tracks workers in real-time, automatically verifying whether they are wearing required Personal Protective Equipment such as helmets and safety vests, eliminating the need for manual surveillance.

The system uses a YOLOv11 detection engine to instantly identify PPE violations through live camera feeds, triggering immediate alerts via sirens and voice warnings. Administrators can define custom restricted zones on the interface, while a centralized dashboard displays live footage, detection overlays, and compliance status in one unified view. Automated shift reports and safety scores help organizations track performance and drive continuous improvement.

What sets Vigil AI apart is its predictive capability - it anticipates danger by monitoring worker movement and issuing warnings before a restricted zone is even entered. Built using Next.js, Flask-SocketIO, and OpenCV, the system delivers reliable, low-latency performance across industrial environments. With plans to expand into IoT sensor integration, fatigue detection, and safety heatmaps, Vigil AI stands as a proactive and scalable solution for modern workplace safety.

Author Biographies

  • Aaliya Khan

    Department of Computer Science Engineering (Data Science), Lokmanya Tilak College of Engineering, An Autonomous Institute Affiliated to University of Mumbai

  • Sejal Ubale

    Department of Computer Science Engineering (Data Science), Lokmanya Tilak College of Engineering, An Autonomous Institute Affiliated to University of Mumbai

  • Rimjhim Chauhan

    Department of Computer Science Engineering (Data Science), Lokmanya Tilak College of Engineering, An Autonomous Institute Affiliated to University of Mumbai

  • Dr. Ranjana Kumari

    Department of Computer Science Engineering (Data Science), Lokmanya Tilak College of Engineering, An Autonomous Institute Affiliated to University of Mumbai

  • Dr. Nandini Nag

    Department of Computer Science Engineering (Data Science), Lokmanya Tilak College of Engineering, An Autonomous Institute Affiliated to University of Mumbai

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Published

2026-06-22

Issue

Section

Articles