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.
Private build
Screenshots and metrics stay off the public web. Happy to walk through a curated demo over a short call.
ContactImpact
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