Camera and enterprise data integration
Connects existing camera infrastructure with site-level data from WMS, MES, TMS, EHS, CMMS and other enterprise systems to combine visual and operational signals.
Industrial site intelligence that connects cameras and enterprise data to improve workplace safety and operations.
Protex AI is an industrial site intelligence platform for workplace safety and operational improvement. It connects existing site cameras with enterprise data from systems such as WMS, MES, TMS, EHS and CMMS to create a unified view of people, materials, vehicles, machines, zones and workflows. The platform detects safety and operational risks across shifts and areas, uses patterns in the data to investigate contributing factors, and recommends actions based on the context of each site. Teams can configure automated workflows to monitor selected KPIs, send findings to responsible people, and track whether actions improve results over time.
Connects existing camera infrastructure with site-level data from WMS, MES, TMS, EHS, CMMS and other enterprise systems to combine visual and operational signals.
Identifies safety and operational events across shifts, zones and workflows, including PPE issues, machine proximity, pedestrian and vehicle interactions, downtime and material flow interruptions.
Uses patterns and correlations across cameras and connected systems to help explain why an incident, bottleneck or process variation is occurring.
Flexible rule building and customizable dashboards help teams define relevant events, review trends, and prioritize corrective actions.
Custom agents monitor selected KPIs and operations, investigate findings, and send context-specific recommendations to responsible teams.
The platform describes on-premises processing for video feeds, allowing organizations to use camera data while preserving workforce privacy.
Safety and operations teams can monitor dock utilization, trailer dwell, lifting practices, route efficiency, equipment use, handrail compliance and PPE usage across warehouse aisles, docks and floors.
Plant teams can investigate changeover variability, workstation flow, line starvation and other production constraints by examining timing, handoffs and material movement.
Operations teams can identify intersections between powered industrial trucks and pedestrians, monitor speed limit risks, and flag proximity to dangerous machinery.
EHS teams can use camera-based observations of lifting and other work behaviors to identify leading indicators of musculoskeletal risk and target interventions.
Site leaders can compare activity by shift, risk type, department or time period, then measure whether layout, process or safety changes produce improvement.
The platform is designed to connect with existing camera infrastructure, reducing the need for additional hardware where suitable cameras are already available.
The source describes integrations with WMS, MES, TMS, EHS and CMMS systems, along with an open API for connecting to existing business intelligence and EHS environments.
Examples include incorrect PPE usage, unsafe lifting, machine proximity, pedestrian and vehicle intersections, speed limit risks, downtime, line starvation, dock utilization and workstation flow.
Custom agents can monitor selected KPIs, investigate operational findings and send recommendations or findings directly to responsible teams. Dashboards and generated reports provide additional ways to review the data.
Protex AI states that video feeds can be processed on premises to protect data and preserve workforce privacy.
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| mai. | 28051 |
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| jun. | 27445 |
| jul. | 29181 |
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