Computer Vision Workforce Safety
Video analytics for PPE, unsafe zones and configured worker/equipment interaction risks.
What this capability solves
Computer Vision Workforce Safety converts fragmented operational signals into an accountable digital workflow so teams can detect risk earlier, optimize resources and improve safety or productivity without losing human operational control.
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 Detection
Configured helmet, vest, eyewear or workwear requirements.
Zone Analytics
Person/vehicle entry to defined zones.
Worker Events
Fall, immobility or specified unsafe state.
Vehicle Interaction
Configured proximity or crossing-risk analytics.
Local Warning
Audio/visual or dispatcher notification.
Trend Analysis
Hotspots, repeat events and shift/site comparisons.
How the capability fits together
Final topology, control placement and deployment model are validated during discovery and detailed design.
Controls & governance
- Authorized and purpose-bound data collection
- Safety-first operational boundaries and human override
- Role-based access and asset ownership
- Data-quality and calibration controls
- Event/audit history and investigation evidence
- Cybersecurity for devices, edge and enterprise integration
Priority use cases
- Crusher/conveyor area
- Workshop PPE
- Vehicle crossing
- Restricted zones
Key deliverables
- Operational/process assessment
- Reference architecture
- Pilot design/configuration
- Integration and data map
- SOP / escalation model
- KPI baseline and scale roadmap
Integration considerations
- CCTV
- EHS
- Access
- Personnel positioning
- Dispatch
- SIEM
Phased delivery
Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.
