Compliance Monitoring & Prevention System

Summary

Folio3 AI collaborated with BMC to develop a Proof of Concept (POC) for an Internet of Behaviors-based Compliance Monitoring & Prevention System. This intelligent system leverages AI and computer vision to detect and resolve compliance issues, ensuring workplace safety through innovative gamification and machine learning techniques.

About the Customer

BMC, a leading compliance and safety monitoring organization, aimed to enhance its compliance processes by integrating advanced technologies. They sought to create a system that identifies non-compliance, provides actionable feedback, and supports behavior modification through gamification.

Understanding the Challenge

• Detect non-compliance in various environments.

• Identify individuals and assess their adherence to safety regulations.

• Provide immediate alerts and corrective actions.

• Learn from compliance data to predict and prevent future non-compliance.

BMC faced challenges in ensuring real-time compliance with safety protocols. They needed a system that could:

Solution

Folio3 AI developed a Compliance Monitoring & Prevention system that uses machine learning and computer vision to monitor and ensure compliance in real-time. The system's core capabilities include scanning environments, recognizing individuals, and assessing compliance with safety equipment requirements.

Result

The PPE Detection model with more than 90% accuracy, enabled BMC to enhance its compliance monitoring processes significantly. Resulting in real-time detection of non-compliance, and improved corrective measures.