A computer-vision platform for SOP compliance and operational monitoring, with a real, working AI scoring engine for uploaded video today and live multi-camera streaming on the roadmap. This paper separates the two clearly.
Only a small fraction of standard operating procedures ever get gauged, because human spot-checks don't scale — hygiene, PPE, queue time, and staff presence all depend on someone watching, and mostly nobody is. Operators need automated, always-on compliance evidence they can hand to a regulator or a franchise auditor, not another camera feed nobody reviews.
Visionairy is designed to turn camera footage into scored, explainable compliance evidence — hygiene and PPE detection, queue and wait-time analytics, staff presence, and cleaning/safety workflow checks — without a human reviewing every frame. Each detection maps to a named parameter with a defined scoring threshold and a written remediation note, so a flagged issue tells an operator exactly what to fix.
A real, working multimodal AI scoring pipeline runs on uploaded video:
The always-on, multi-camera promise depends on infrastructure planned as the next build phase:
React 19 + Vite client, Firebase (Auth + Firestore), Gemini multimodal video analysis. Stage: MVP Live — the core video-scoring engine is real and functioning on uploaded clips; live camera streaming and alert delivery are the near-term roadmap.