Refinery & Field Video Analytics
Computer vision for PPE, restricted zones, worker conditions and configured safety events in industrial environments.
What this capability solves
Refinery & Field Video 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
Configured helmet/workwear/mask detection.
Restricted Zones
Person/vehicle presence in controlled areas.
Worker Condition
Fall, immobility or defined safety events.
Access Context
Correlate identity/authorization where lawful and configured.
Local Alert
Audio/visual warning or dispatcher alert.
Evidence
Event clips, timestamps, response and trend analytics.
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
- Refinery PPE
- Hazard zones
- Remote facility safety
- Contractor compliance
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
- EHS
- Situation center
- Personnel positioning
- SIEM
Phased delivery
Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.
