Smart Kitchen Safety OS

An annual hygiene rating is a snapshot, not a guarantee — a kitchen can pass on inspection day and drift out of compliance every day after, while a single foodborne-illness outbreak can cost an operator anywhere from a few thousand dollars to millions in fines and irreparable brand damage. The Smart Kitchen Safety OS replaces that periodic snapshot with persistent intelligence: a kitchen environment that is self-aware 24/7.

It begins by building a hyper-accurate 3D digital twin of the workspace from a simple video walkthrough — reconstructed with tools like DepthAnything, semantically segmented with SAM-3 to label critical zones (sink, fridge, raw-prep station), and confirmed with a one-time, user-assisted verification. That spatial model gives every downstream model true contextual awareness and lets the system localize exactly where each person is working.

On that foundation, computer vision continuously watches processes, people, and objects: lightweight detectors (YOLO-World class) flag unauthorized items, foreign objects, and missing PPE; a video-native action-recognition model verifies critical tasks such as a full 20-second handwash; and pose estimation tracks ergonomics and prompts rest breaks. Integrated IoT sensors make invisible data — cold-chain temperature, humidity, and staff wellness — visible and actionable.

Crucially, it is privacy-preserving by design. Video is analyzed on-device using skeletal tracking and anonymization; instead of streaming footage, the platform sends secure, encrypted metadata such as a confirmed handwash event — making it deployable even in sensitive home environments. It ships either as an edge device for privacy-first deployments or as scalable cloud GPU processing for large industrial operators, with all streams converging in one unified command center.