On-device AI vision
Neural models classify passengers and objects directly in the vehicle.
Santim in-cabin vision systems give operators a clear understanding of what happens inside the vehicle: who is on board, what has been left behind and when something needs attention. Processing happens in the vehicle, so images do not have to leave it.
Operators cannot see inside every vehicle, yet they are responsible for what happens there. Lost property, unsafe situations and disputes are costly to resolve after the fact.
Cameras feed an embedded vision unit that runs the models locally and publishes events — not footage — to driver applications and the operations platform.
Cabin cameras
Wide-angle and low-light
Vision unit
On-device AI models
Event layer
Alerts instead of footage
Operator
Driver app and control room
Neural models classify passengers and objects directly in the vehicle.
A reminder when a bag, phone or wallet stays behind after the trip.
Camera insight combined with seat and door signals for dependable results.
Events instead of video streams; images stay in the vehicle unless policy requires otherwise.
Built around data-protection principles: minimal data, local processing and clear retention rules.
Seat sensors, driver applications, fleet platforms and lost-property workflows.
Fewer lost items
Passengers are reminded before they leave.
Safer cabins
Unusual situations reach the operator early.
Privacy respected
Insight without streaming video.
No solution stands alone. Each one is designed to connect cleanly with the systems around it.
Tell us what has to work in the field. Our engineers will map hardware, firmware, applications and compliance into one plan you can execute.