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Case Study: AI-Powered PPE Detection & Safety Compliance | Unicircuit
Case Study · Computer Vision Safety
🛡️ AI-POWERED WORKPLACE SAFETY

PPE Detection & Safety Compliance System

Real‑time monitoring of hardhats, safety vests, and personnel with 98%+ accuracy — reducing violations by 73% and achieving zero lost‑time incidents.

PPE Detection Live Feed - Unicircuit AI
98.7%
Detection Accuracy
73%
Violation Reduction
<100ms
Inference Speed
24/7
Real‑time Monitoring

Client Profile

A large-scale manufacturing plant with 700+ workers across 10 high-risk zones (Electrical, furnaces, conveyors, chemical storage). Prior to deployment, the plant recorded an average of 18 PPE violations per week, including missing hardhats and safety vests, leading to repeated safety citations and near‑miss incidents.

Key Challenges

  • âś— Manual safety audits missed 60% of violations
  • âś— No real-time alerting for PPE non‑compliance
  • âś— Difficulty tracking repeated offenders across shifts
  • âś— Regulatory pressure for digital safety logs
  • âś— High false alarms from legacy motion sensors
Unicircuit AI Safety Solution

An end-to-end computer vision platform that detects hardhats, safety vests, and personnel in real time from existing CCTV cameras, with instant alerts and compliance dashboards.

Deep Learning Detection

Custom model trained on 50,000+ industrial images. Detects person, hardhat, safety vest with confidence scores (0.97+).

Live Feed Overlay

Real-time bounding boxes, labels, and confidence metrics overlaid on CCTV feeds. Timestamped evidence for audits.

Instant Alerts

SMS, email, WhatsApp, and dashboard alerts when PPE is missing. Escalation to supervisors after 10 seconds.

Compliance Dashboard

Real-time KPIs: compliance rate, top violation zones, individual offender tracking, and historical trends.

Live AI Detection Feed (Sample Output)
2024-10-26 14:32:18 UTC
Person: 0.97 | Hardhat: 0.98 | Safety Vest: 0.96 — COMPLIANT
Person: 0.95 | Hardhat: 0.99 | Safety Vest: 0.97 — COMPLIANT
✅ PPE DETECTION ACTIVE · ALL PPE COMPLIANCES
Implementation Phases

Phase 1 – Assessment

Camera placement audit, lighting analysis, and model calibration (2 weeks).

Phase 2 – Hardware Integration

Upgraded 24 existing IP cameras to 4K, added edge AI servers (3 weeks).

Phase 3 – AI Training & Testing

Fine‑tuned detection models for factory environment, achieved 98.7% accuracy (2 weeks).

Phase 4 – Go‑Live & Training

Staff orientation, supervisor dashboard training, and alert protocol rollout (1 week).

Measurable Results

Safety Impact

  • 73% reduction in weekly PPE violations (18 → 4.8)
  • Zero lost‑time incidents related to head/eye injuries in 12 months
  • 92% faster response to non‑compliance (from 15 min to <10 sec)
  • Improved safety audit score from 74% to 96%

Financial & Operational

  • ₹28 lakh annual savings in potential fines and accident costs
  • 40% reduction in manual safety patrol hours
  • ROI achieved in 8 months
  • Insurance premium reduced by 12% due to verifiable safety compliance
đź”§ Technology Stack
Python / TensorFlow NVIDIA RTSP / ONVIF Node.js Dashboard WhatsApp API
Privacy & Edge Computing – All video processing happens on‑premise via edge AI servers. No video leaves the facility. Only compliance alerts and anonymized metadata are logged, ensuring full data privacy and GDPR/ISO compliance.

Protect Your Workforce with AI Safety

Get a free pilot deployment and see real‑time PPE detection at your facility.

📞 Request Safety Demo
0935-947-5770  |  info@unicircuites.com