Concept · Exploration

Sightline

Real-time vision for warehouses that can't afford another manual count.

Sightline
Vision

Inventory accuracy is a labor problem disguised as a data problem. Sightline runs custom-trained vision models on existing camera infrastructure to keep stock counts honest, flag damaged pallets at the dock, and tell you when a slot's been blocked for hours — without adding scanners, beacons, or a procurement cycle.

What it would involve

Use cases

  • Continuous cycle counts from existing CCTV feeds
  • Damage detection at the receiving dock
  • Slot-occupancy and dwell-time monitoring
  • Mobile alerts for forklift drivers on wrong-side picks

Services

  • Custom model training
  • Edge deployment
  • Alerting & observability
  • Mobile companion app

Technologies

YOLO / custom CVEdge inference (NVIDIA Jetson)KafkaReact NativeTime-series DB (TimescaleDB)

Industries

LogisticsRetailManufacturing