Outline: lab-hygiene-sentinel Feasibility Analysis

Idea: Real-time enforcement of hand-washing protocol between instrument pickups in a clinical lab, using RFID + CV detection, with video evidence on violation.

Scope confirmed:

• Detection: RFID tags on instruments + camera CV, both as redundant layers; strategic camera placement is available
• Hand-wash detection: soap dispenser or sink flow sensor (primary) + CV at wash station
• Alert consumer: supervisor via phone app (assumed); in-lab real-time alarm on violation
• Timing rule: wash within 30 seconds of putting down instrument A before picking up instrument B (assumed)
• Lab scale: ~5 concurrent technicians (assumed); person attribution required
• Protocol scope: all instruments in the lab, no exceptions
• Out of scope: instrument sterilization state
• Optional in-scope: individual compliance history; shift-end compliance reports
• Compliance context: clinical lab — ISO 15189 / GLP audit trail requirements may apply (assumed)
• No known existing infrastructure to integrate with (unknown/TBD)

Sections¶

1. Context seed — Scene: a clinical lab bench where cross-contamination risk is invisible; what this doc assesses and what the reader will know at the end.
2. What the system must do — Trace: technician picks up instrument → puts it down → system starts 30s watch window → wash or violation → alert + clip; optional: compliance history, shift reports.
3. Where sensor fusion and CV add value — Named tasks: instrument pickup detection (RFID + CV fusion), hand-wash event detection (sensor + CV), person attribution (badge/wristband RFID or camera tracking), violation classification, evidence clip generation.
4. Architecture — Layers: sensor edge (RFID readers, sink sensor, cameras) → event broker → state machine engine → violation classifier → alert dispatcher + clip store; Mermaid component diagram.
5. What is hard — Named challenges: person attribution in multi-technician lab; on-metal RFID reliability per instrument type; CV and RFID fusion without double-counting; 30s window enforcement with clock drift; video clip retrieval latency; clinical compliance audit trail.
6. Feasibility verdict — 7 dimensions: instrument detection, hand-wash detection, person attribution, real-time alerting, evidence retrieval, regulatory compliance, optional features.
7. Why these outputs — Why? table for: in-lab alarm, supervisor push alert, video evidence clip, violation log, (optional) compliance history, (optional) shift report.
8. Build order — Spine: Sensor Edge → Event Broker → State Machine → Alert Dispatcher; Bulges: CV redundancy layer (off Sensor Edge), clip store (off Event Broker), compliance history (off violation log), shift reports (off compliance history).
9. Open questions — 4 items: compliance obligation confirmation; person attribution method; existing camera infrastructure; phone app platform.