Compliance Monitoring & Prevention System

SUMMARY

BMC partnered with Folio3 AI to develop a proof of concept for an Internet of Behaviors-based compliance monitoring & prevention system.

The goal was to move workplace compliance monitoring beyond manual observation by using AI and computer vision to identify individuals, detect safety equipment violations, and provide actionable feedback when non-compliance occurred.

Folio3 AI developed a computer vision-based solution capable of analyzing monitored environments, identifying people, evaluating compliance with defined safety requirements, and supporting corrective actions through intelligent alerts and behavior-focused workflows.

ABOUT THE CUSTOMER

BMC wanted to explore how AI and behavioral intelligence could strengthen workplace compliance monitoring and help organizations identify safety violations earlier.

The organization envisioned an Internet of Behaviors-based system capable of combining computer vision, machine learning, compliance monitoring, alerts, and behavior-focused feedback within a connected platform.

Before partnering with Folio3 AI, BMC needed the AI engineering and application development capabilities required to turn this concept into a functional Proof of Concept.

The objective extended beyond basic PPE detection. The platform needed to identify individuals, evaluate predefined safety requirements, detect non-compliance, notify relevant users, maintain compliance records, and support corrective and preventative actions.

THE CHALLENGE

Workplace safety monitoring traditionally relies heavily on supervisors, periodic inspections, and manual observation.

While these processes remain important, maintaining continuous visibility becomes difficult across busy, distributed, or high-risk operational environments.

Potential violations can occur between inspections or in areas where constant manual monitoring is impractical. BMC wanted to explore how AI could create an additional automated monitoring layer without removing human oversight from compliance decisions.

Three specific challenges defined the project:

• Real-time PPE and non-compliance detection — The system needed to analyze monitored environments, identify individuals, recognize required safety equipment, and detect potential violations without relying entirely on continuous manual observation.
• Individual identification and compliance assessment — Detecting PPE alone was insufficient. The platform needed to associate observations with individuals and evaluate whether predefined workplace safety requirements were being followed.
• Corrective feedback and behavior improvement — BMC wanted the platform to go beyond identifying violations by supporting alerts, resolution tracking, corrective action, and gamification concepts designed to encourage stronger compliance behavior.

OUR DELIVERY APPROACH

TOOLS & TECHNOLOGIES

THE SOLUTION

Folio3 AI developed an AI-powered Compliance Monitoring & Prevention System that combines visual safety monitoring with operational compliance workflows. The platform analyzes monitored environments to identify individuals and determine whether required protective equipment is present.

Computer vision and machine learning models evaluate those observations against predefined safety requirements. When potential non-compliance is identified, the platform converts the detection into an actionable compliance event. Relevant users can receive alerts while the system records the incident and tracks its resolution status.

THE FOUR-STAGE COMPLIANCE MONITORING WORKFLOW

1. Environment Monitoring: The platform analyzes visual information from monitored workplace environments and prepares it for AI-based compliance assessment.
2. Person & PPE Detection: Computer vision identifies individuals and detects relevant personal protective equipment within monitored areas.
3. Compliance Assessment: Detected individuals and equipment are evaluated against predefined safety requirements to identify potential non-compliance.
4. Alert & Corrective Action: Potential violations generate actionable alerts while the platform supports incident review, resolution tracking, and corrective workflows.

SOLUTION ARCHITECTURE

RESULTS ACROSS COMPLIANCE WORKFLOWS