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Case study · Private repository

Overwatch

  • Live operations
  • Computer vision
  • TypeScript stack

Real-time operational intelligence dashboard that uses computer vision to surface activity and productivity signals. The codebase and deployment are private; this page spells out intent, architecture, and how to request a walkthrough.

Preview

No public gallery for this build—contact for a controlled demo under NDA if needed.

Stack

TypeScript React Real-time UI Vision pipeline

Impact

Operations teams often lack a live picture of floor or desk activity without invasive tooling. Overwatch experiments with camera-derived signals distilled into dashboard tiles—latency, confidence, and operator trust matter more than pixel-perfect novelty.

Architecture

Frontend: TypeScript and React for responsive monitoring views, with channels for streaming updates.

Vision: inference stages that turn video frames into structured events (counts, states, anomalies) before they hit the UI.

Ops: private deployment, access control, and logging kept tight so the system can be trialed without oversharing raw footage.

Shipped

  • Streaming dashboard for operational KPIs
  • CV pipeline modularized behind a clean event contract
  • Guardrails for privacy and access (private repo + deployment)
  • Iterative calibration for real-world lighting and angles