Shell Gas Station Case Study

Vision AI full-stack solution for gas station safety operations

Shell gas station operations require reliable supervision across fuel unloading, patrol inspection, personnel behavior, and incident response. Awakedata deployed an end-to-end AI analytics architecture to improve monitoring coverage, searchable data, and process-level compliance analysis.

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Industry background and challenges

Common constraints faced by distributed gas station operations.

High monitoring and storage burden

  • Each station has many camera streams that require continuous monitoring.
  • Regional center live-view and storage of 720P/1080P video consumes large bandwidth and storage cost.
  • Long-term video retention drives persistent enterprise expense.

Limited safety visibility and slow retrieval

  • Safety incidents are hard to discover in time under manual 24/7 guarding.
  • Post-event video review and tracing are time-consuming and labor intensive.
  • Traditional NVR retrieval is time-based, not scenario-based, and weak for structured reporting.

Unstructured video records

  • Historical videos are difficult to link to specific events and workflows.
  • Lack of structured indexing prevents fast scenario-based search and export.

Compliance process gaps

  • Fuel unloading and routine patrol steps need full-process evidence.
  • Without AI tagging, key safety behaviors and risk violations are often missed.

End-to-end vision AI solution

Three coordinated layers enable scalable monitoring and multi-dimensional analysis.

Edge Analysis

Edge AI appliances connect directly to station cameras/NVR, run real-time models, compress intelligently, and trigger on-site alarms.

Multi-Level Platform

Regional and central hubs aggregate edge outputs for storage, playback, center-side analysis, and unified monitoring operations.

Multi-Dimensional Query

GIS visualization, event dashboards, data extraction, report export, and central live broadcast support decision-making.

AI scenario coverage

From unloading safety to full-station supervision, the platform supports broad scenario automation.

Fuel unloading safety intelligence

  • High-altitude PPE compliance detection
  • Extinguisher placement validation
  • Anti-static clip usage detection
  • Grounding and hose operation compliance
  • Unloading duration monitoring

Station-wide operational monitoring

  • Night reflective vest detection
  • Mobile phone use detection during operations
  • Electronic fence and restricted-area monitoring
  • Personnel intrusion and cross-area movement detection
  • Cashier/counter personnel management checks

Workflow AI compliance analysis

  • Real-time reminders at unloading start
  • Step-by-step unloading checklist verification
  • Routine patrol full-process recording
  • Automatic evidence snapshots and playback timelines
  • PDF-ready compliance report export

Operational result

  • Faster incident discovery: scenario-triggered alerts reduce delayed response.
  • Lower manual review workload: structured retrieval and AI-tagged events.
  • Higher compliance confidence: full-process records for audit and management.
  • Better decision support: visual dashboards and multi-dimensional report output.

Solution introduction