An AI-powered computer vision system that verifies Personal Protective Equipment compliance at entry gates and work zones in real time.
Industrial plants and hazardous work zones require strict adherence to Personal Protective Equipment protocols (helmets, masks, gloves, safety shoes, and protective suits), but verification has traditionally relied on manual checks at entry points and on-site supervision.
MoreYeahs built an AI-powered PPE compliance detection system for organizations enforcing these protocols, giving safety and compliance teams a consistent, automated way to catch violations that manual checks miss.
Manual PPE verification created gaps that put both workers and compliance programs at risk:
Slow, Inconsistent Checks: manual verification at entry points and on-site supervision were slow and vulnerable to human error.
Unnoticed Non-Compliance: missing PPE often went unnoticed until after an incident or audit.
Regulatory Exposure: inconsistent enforcement increased the likelihood of injuries and regulatory violations.
No Structured Audit Trail: there was no reliable digital record of compliance for reporting or audits.
MoreYeahs built an AI-based PPE detection system that uses fixed cameras at entry gates and work zones to automatically detect workers and verify required PPE components.
Worker and PPE Detection: computer vision models detect workers and check for required equipment items: helmet, mask, gloves, vest, shoes, or suit.
Rule-Based Compliance Validation: detected PPE is evaluated against configurable, zone-specific compliance rules.
Real-Time Violation Alerts: missing PPE triggers immediate alerts to supervisors and safety officers, with the individual highlighted in the camera feed.
Compliance Logging: every check is logged with location and timestamp for audit and reporting.
The system evaluates every worker who passes through a monitored gate or zone against that zone's PPE rule set.
Entry and Zone Monitoring: cameras capture workers approaching entry gates or work zones, and detection models identify each person in frame.
Compliance Scoring: detected PPE is compared against the zone rule set to compute a compliance score; compliant entries are logged automatically.
Violation Handling: missing PPE creates a violation event with a real-time alert and a dashboard entry tagging the missing items.
Low-Confidence Review: partial occlusion or ambiguous items route to a secondary frame check or a manual review queue rather than a false violation.
The solution runs on high-resolution entry and zone cameras paired with a configurable rule engine.
In validation testing, the system met its target benchmarks for detection and compliance accuracy.
Automated PPE verification gives safety teams consistent enforcement without adding headcount at every gate.
Consistent Enforcement: every worker is checked against the same rules, removing variability between manual inspectors.
Fewer Missed Violations: real-time detection catches non-compliance that manual spot-checks would miss.
Audit-Ready Compliance Logs: exportable, timestamped records support regulatory audits and reporting.
Scalable Across Sites: the same rule engine and detection pipeline extends to new gates and zones without added manual staffing.
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