Warehousing and Logistics

End-to-end AI safety and outbound accuracy platform

This solution combines CCTV AI behavior recognition, event snapshot alerting, finished-goods outbound verification, and centralized response workflows to improve warehouse safety, forklift control, and shipment accuracy.

CCTV AI behavior recognition

Scenario coverage for personnel behavior, forklift safety, PPE compliance, and daily hazard checks.

PPE and workwear compliance

  • Helmet and reflective-vest detection
  • Face shield and protective goggles checks
  • Safety harness verification for high-risk tasks

Forklift operation safety

  • Forklift speeding behavior detection
  • Unsafe loaded-forklift motion detection
  • Worker proximity-to-moving-forklift alerts

Personnel and hazard monitoring

  • Unauthorized area entry and walkway violations
  • Conveyor crossing violations
  • Smoke, fire, illegal parking, and floor anomaly detection

Event snapshot alerts and workflow handling

From real-time detection to accountable closure across teams.

Rapid integration and analysis

Connects quickly to existing camera networks and performs real-time AI inference with visual event snapshots.

Department-level processing

Role-based ownership allows each department to review daily incidents and execute corrective actions independently.

Linked smart-site response

Triggers onsite speakers and warning lights; pushes alerts to mobile channels for rapid response.

Finished-goods outbound AI identification

Automatic cross-check between vehicle, cargo, and WMS data before release.

  • Recognizes license plates from gate-lane cameras and maps records to outbound orders.
  • Captures both-side cargo images and identifies pallet count plus SKU category in real time.
  • Compares AI recognition outputs with WMS data and returns pass/fail instantly.
  • Supports manual verification workflow before final release when mismatches occur.

Overall solution advantages

Built for compliance, scalability, and high response efficiency.

1. Data compliance

Keep production processing and events at the customer site; assess the deployment against your data governance requirements.

2. Edge + center architecture

Edge executes AI detection; center handles aggregation, policy dispatch, and device orchestration.

3. System interoperability

Integrates with attendance, WMS, and other systems to create closed-loop operational workflows.

4. Layered visual safety management

Department-authorized dashboards provide real-time handling and management visibility.

5. Mobile + onsite linkage

Mobile alert viewing plus instant onsite smart-speaker warning for fast intervention.

6. Visual analytics

Multi-dimensional incident charts support risk forecasting and continuous safety optimization.

From this use case to your deployment

Develop and test the application in Awakedata Studio, run it on supported hardware with Awakedata Edge, and coordinate events and deployments through Awakedata Hub.

SAIL — the industrial AI application language and runtime.

Meet Morca, our integrated industrial AI designed to assist with requirements and SAIL authoring. Talk to our team about the capabilities, integrations, and validation needed for your site.

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