AI models for threat detection, vape monitoring, crowd anomalies, and campus flow – purpose-built for schools, and available on Sourcewell so districts skip the RFP entirely.
LIVE · Bldg C · Vaping alert 12:08
Each model is privacy-first and runs on existing cameras + sensor hardware. No identification of individual students.
Identify vaping events in bathrooms and locker rooms with sensor + vision confirmation. Auto-alert to admin.
SEE DEMO →Spot unusual gatherings, loitering, or behavior in real time across campus zones.
SEE DEMO →Density and flow during transitions, dismissal, and events. Prevent bottlenecks and crowd incidents.
SEE DEMO →Bags, backpacks, weapons screening at entry points. Privacy-first object-only mode available.
SEE DEMO →Classroom, library, and common area usage analytics – without storing video or identifying people.
SEE DEMO →Tailgating detection at restricted entries. Anonymous counts of authorized vs unauthorized entries.
SEE DEMO →Talk to our expert team and start trying models today – go live in a week!
