Our Work

Slashing On-Site Incidents with AI-Powered Safety & Compliance Monitoring

For a leading national construction firm, ensuring worker safety and maintaining OSHA compliance across multiple active job sites was a mission-critical, yet resource-intensive challenge. Traditional oversight was prone to human error. They partnered with Evren AI to deploy a real-time, AI-powered computer vision system that autonomously identifies and flags safety hazards, preventing accidents before they happen.

01Industry

Construction & Real Estate

02Core Challenge

Job Site Safety, Risk Mitigation & OSHA Compliance

03Solution

Edge AI, Computer Vision, Real-Time Alerting

Slashing On-Site Incidents with AI-Powered Safety & Compliance Monitoring
Timeline5 Months
Team5 Specialists
Core Result40% Fewer Incidents
The Challenge

The Strategic Imperative: Proactively Eliminate Job Site Risk

01Strategic pillar

Preventing Catastrophic Falls & Injuries

The goal was to prevent fatal injuries by detecting hazards like workers near unprotected edges and those not wearing safety helmets (PPE).

02Strategic pillar

Overcoming the Limitations of Manual Oversight

The objective was to create a digital safety supervisor to monitor multiple locations simultaneously, eliminating human blind spots and delays.

03Strategic pillar

Enabling Immediate, Actionable Intervention

The system needed to deliver instant alerts to supervisors, enabling immediate intervention to prevent incidents from escalating.

Client Voice

What Leadership Had to Say

Client Testimonial

Head of OperationsMajor National Construction Firm

Safety is our number one priority, and Evren AI has given us a powerful new tool to uphold that commitment. Their AI system is our tireless eye in the sky, identifying risks we might have missed. The reduction in incidents and the peace of mind it provides are invaluable to our operations.
How We Built It

Our Blueprint for an Autonomous Digital Safety Supervisor

Deployed High-Performance Edge AI

We deployed NVIDIA Jetson Xavier devices on-site for low-latency, real-time processing without cloud reliance, ensuring instant analysis in remote areas.

Custom-Trained Models on Real-World Site Data

We developed a highly accurate YOLOv4 model, custom-trained on 10,000+ images from construction sites, ensuring reliability in diverse conditions.

Engineered a Real-Time Alerting System

We built a configurable alert system that instantly notifies site supervisors with visual evidence upon detecting hazards, ensuring rapid response.

Designed for Scalable, Multi-Camera Deployment

The system, powered by NVIDIA DeepStream, processes multiple video streams simultaneously, enabling easy expansion across job sites and cameras.

Measurable Impact

The Transformational Outcome:A Safer Workplace and a Stronger Bottom Line

40% Reduction in Reported Safety Incidents

Within the first six months of deployment, the client reported a 40% drop in on-site safety incidents and near-misses in the monitored zones, directly protecting their workforce.

Fortified OSHA Compliance & Reduced Premiums

The system provides a continuous, automated audit trail for PPE and safety compliance, significantly strengthening their legal and regulatory position and leading to more favorable insurance premiums.

91% Accuracy in Detecting Unprotected Edges

The AI models achieved exceptional accuracy in identifying the most critical fall risks, allowing for immediate remediation of hazardous areas before an accident could occur.

Achieved 24/7 Proactive Hazard Monitoring

The firm moved from a reactive, manual safety process to a proactive, automated system that provides constant oversight, ensuring a higher standard of safety across all projects.

Your Turn

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