Manufacturer Reduces Safety Incidents 45% with AI Vision Monitoring
Deploying computer vision on Azure across production floors to detect PPE violations, near-misses, and hazardous conditions in real time.
Project Overview
The Challenge
Safety relied on intermittent manual observation, with most near-misses going unreported and incidents only investigated reactively.
- 1Manual safety observation missing most near-misses
- 2Reactive investigation only after incidents occurred
- 3No real-time intervention for hazardous behavior
Our Solution
CloudGate deployed edge-based computer vision across high-risk areas with real-time alerting and pattern analysis.
- Edge-based vision detection of PPE violations and hazardous behavior
- Real-time alerting to supervisors and zone managers
- Pattern analytics identifying systemic safety risks
The Results
- Achieved best safety record in company history during deployment year
Technologies Used
More Success Stories
View all case studies
Operator Modernizes OSS/BSS Stack, Cutting Time-to-Market by 65%
Migrating and modernizing OSS/BSS workloads to Azure with a microservices architecture, dramatically accelerating new product and pricing launches.
MNO Optimizes 5G Rollout Across 4,000 Sites with Network Analytics
Building a Fabric-based network performance analytics platform that ingests telemetry from RAN, core, and customer experience layers in near-real time.
Industrial Operator Lifts OEE from 64% to 81% with Plant Analytics
Implementing an OEE and plant performance analytics platform on Microsoft Fabric, with real-time dashboards and AI-driven loss root-cause analysis.