Security AI -- Computer Vision

How it works

YInfra's security AI capability applies computer vision to the physical spaces and operational workflows of client businesses. The system ingests camera feeds and runs trained models that are scoped to the specific workflow the business cares about -- not generic surveillance, but operationally relevant monitoring tuned to each deployment.

For a med spa, the relevant model might track room utilization: which treatment rooms are occupied, how long each session runs, and when rooms are idle longer than the target turnaround. This gives the operator visibility into utilization rates that currently require manual tracking or are simply unknown. For a retail business, queue monitoring can trigger alerts when the checkout line exceeds a threshold, allowing staff to open additional lanes before the friction reaches the customer. For premises security, the model distinguishes routine activity from access anomalies without requiring a human watching a monitor all day.

Models are trained on the specific visual patterns of the client's space, not on generic training sets that misfire constantly in unfamiliar environments. The output is not raw video or a stream of alerts -- it is operationally structured data: room-state changes, utilization summaries, and threshold events, surfaced in the operator console as analytics and real-time flags.

Data residency and privacy posture are scoped explicitly for each deployment. No consumer facial recognition is used. The capability is designed for operational efficiency and premises safety, not surveillance.