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AI-Powered Workplace Safety Monitoring System
  1. case
  2. AI-Powered Workplace Safety Monitoring System

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AI-Powered Workplace Safety Monitoring System

oxagile.com
Security
Health & Fitness
Retail
Manufacturing

Workplace Safety Compliance Challenges

Need to ensure adherence to health and safety regulations through automated detection of face mask compliance, social distancing violations, and body temperature monitoring in real-time across multiple enterprise locations with varying environmental conditions.

About the Client

Enterprise technology provider specializing in workplace safety compliance solutions

Key Project Goals

  • Develop computer vision system for real-time safety protocol monitoring
  • Implement accurate mask detection with occlusion handling
  • Create thermal imaging integration for temperature screening
  • Establish social distancing violation alerts with positional tracking
  • Optimize system performance for edge device deployment

Core System Capabilities

  • Real-time face mask detection with MAFA dataset training
  • 15ms face image processing speed with occlusion handling
  • ±0.3°C thermal accuracy using 16-bit grayscale processing
  • Multi-camera social distancing tracking with violation alerts
  • Edge device scalability supporting up to 7 cameras per node

Technology Stack

Python/C++ hybrid architecture
TensorFlow/PyTorch deep learning frameworks
OpenCV computer vision library
NVIDIA Jetson edge computing platform

System Integrations

  • Thermal camera APIs
  • Enterprise access control systems
  • Cloud-based analytics dashboard
  • HR employee databases

Performance Requirements

  • 99.9% uptime SLA
  • Sub-50ms latency for alert generation
  • Support for 100+ concurrent camera streams
  • HIPAA-compliant data handling

Business Value

Enables proactive safety compliance monitoring, reduces manual supervision costs by 70%, minimizes operational disruptions through automated alerts, and provides actionable analytics for risk mitigation strategies while maintaining optimal processing efficiency at scale.

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