Facilities with multiple access points (ports, parking lots, plants) rely on manual surveillance that cannot keep up: incidents are detected late, there is no reliable record of vehicles and people, and cameras only serve to review what already happened.
We integrate AI video analytics, license-plate recognition and access-control hardware to detect events in real time (unauthorized access, suspicious loitering, crowding) and alert the control center as it happens.
Incident alerts in seconds instead of minutes, traceable record of vehicle and pedestrian access, and cameras that go from recording to preventing.
Implementations
Road concessions operate hundreds of cameras but without real capacity to detect critical events in real time: stopped vehicles in lane, wrong-way driving, pedestrians on the road, objects on the roadway or accidents go unnoticed until someone reports them manually.
View implementationIndustrial plants and warehouses require strict vehicle access control, but traditional systems (cards, booths) are slow, error-prone and create queues at peak hours without real traceability of entries and exits.
View implementationLogistics companies need to know where their vehicles are, in what condition, whether they follow planned routes, whether there are detours or unauthorized stops, but the information arrives late and fragmented, preventing timely decisions.
View implementation