Industrial Safety Analytics
Combine computer vision, IoT and operational context to identify safety conditions, PPE deviations and hazardous-zone events.
What this capability solves
Industrial Safety Analytics addresses fragmented operational data, delayed decisions and manual intervention by converting field, equipment and enterprise-system signals into governed, measurable operating workflows.
Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.
Capability model
Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.
PPE Analytics
Detect configured protective-equipment requirements.
Zone Monitoring
Detect people/vehicles entering controlled areas.
Behavior / Event
Identify configured unsafe states or events.
Sensor Fusion
Combine gas, environment, machine and access signals.
Alert Workflow
Notify responsible roles and capture response evidence.
Safety Analytics
Trend hotspots, repeat events and risk conditions.
How the capability fits together
Final topology, control placement and deployment model are validated during discovery and detailed design.
Controls & governance
- OT/IT segmentation and least-privilege integration
- Asset ownership and data-quality controls
- Safety and human override for operational actions
- Audit trail for alerts, recommendations and operator decisions
- Resilient/offline behavior for critical operations
- Cybersecurity and change control for edge/OT components
Priority use cases
- PPE compliance
- Restricted zone
- Fall/immobility event
- Safety hotspot analytics
Key deliverables
- Current-state process and data assessment
- Reference architecture and integration map
- Configured pilot/use-case design
- Operational dashboards and alert logic
- SOP, escalation and RACI
- Acceptance/KPI baseline and scale roadmap
Integration considerations
- CCTV
- Access control
- IoT sensors
- EHS
- Personnel positioning
- Situation center
Phased delivery
Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.
