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AI-Based Safety Monitoring System

We developed an AI-powered industrial safety monitoring system that automatically detects unsafe behavior, PPE violations, and potential hazards in real time.
By combining computer vision, deep learning, and Edge AI, the system continuously analyzes live video feeds to deliver instant alerts, enhance safety compliance, and prevent workplace incidents across factories, warehouses, and construction sites.

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Summary :

We developed an AI-driven safety monitoring system that continuously detects unsafe actions, PPE violations, and potential hazards across industrial and infrastructure environments.
Using real-time video analytics, the system helps organizations prevent incidents, improve compliance, and maintain a safer workplace without manual supervision.

Problem

Problem

Objectives

  • Automate Safety and PPE Detection

    Develop an AI system that automatically identifies unsafe behavior, PPE violations, and potential hazards in real time using live camera feeds.

  • Enable Real-Time Alerts and Quick Response

    Deliver instant notifications to supervisors and safety teams, allowing immediate intervention before incidents escalate.

  • Generate Actionable Safety Insights

    Analyze safety trends and recurring risks to support data-driven decisions, preventive maintenance, and training programs

  • Ensure Scalable and Seamless Deployment

    Design a flexible system architecture that adapts easily to different site layouts, camera types, and environmental conditions without retraining.

Challenges

  • Maintaining detection accuracy under changing lighting and movement conditions.
  • Differentiating between similar motions, such as bending versus falling.
  • Achieving low-latency inference for live alerting.
  • Adapting to multiple site layouts without retraining the model.

Solution

We built a computer-vision-based monitoring platform that tracks activity through existing CCTV feeds.
The AI detects workers, verifies PPE compliance, and identifies unsafe movements like running, falling, or crossing restricted zones.
All alerts are delivered instantly to a central dashboard or edge device, helping teams act before accidents happen.
Over time, the system learns recurring risk zones and suggests preventive measures for improved safety management.

Technologies

Architecture

Camera Feed
Live footage from existing cameras enters the AI pipeline for continuous analysis.
Detection & Tracking:
Models identify and track workers, equipment, and movements.
Risk Classification:
Unsafe activities and PPE violations are classified in real time.
Real-Time Alerts
Supervisors receive immediate notifications for quick intervention.
Dashboard Analytics
Aggregated insights show high-risk areas and recurring safety issues.

Results & Impact

Fewer Accidents

Instant detection and alerts reduced on-site incidents.

Compliance Visibility

Continuous PPE and rule adherence tracking.

Actionable Insights

Data-driven understanding of risk patterns for better training.

Cross-Domain Deployment

Easily applied to factories, warehouses, and construction sites.

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