Implemented an Azure-native AI solution using computer vision and IoT to monitor PPE compliance in real time, improving safety, operational visibility, and regulatory adherence across large-scale operations.
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The challenge
The organisation operated thousands of sites with tens of thousands of employees, requiring strict adherence to PPE (Personal Protective Equipment) standards. Ensuring compliance across diverse environments and geographies was difficult to manage manually. Limited visibility into real-time behaviour created risks related to safety, regulatory compliance, and operational consistency.
The approach
Designed and implemented a cloud-based solution leveraging Microsoft Azure, combining Data Lake architecture for large-scale data management with computer vision to monitor PPE usage in real time. Machine learning models were applied to analyse compliance patterns, while dashboards and alerting systems provided real-time visibility and notifications. The platform enabled scalable monitoring and standardised reporting across all locations.
The outcome
Delivered a comprehensive monitoring solution that achieved full visibility into PPE compliance across operations. Real-time alerts enabled immediate corrective actions, improving safety outcomes and operational control. Advanced analytics supported process optimisation, while the scalable architecture allows replication across new environments and continued expansion.
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