Problems

High transport access control costs for facilities with restricted access, human errors, the need to recognize the type of vehicle, color, license plate number, model, etc.

Solution

A set of neural services that can be integrated with a video analytics platform or any other system. The services can recognize 6 types of vehicles, 12 main car colors, EU and CIS state registration plates, as well as more than 5,000 car models.

Result

Automation of vehicle access to facilities with restricted access, reducing the cost of access control, and advanced reporting.

Implementation stages

AUDIT

Pre-project audit, discussion of goals and objectives, preparing the commercial offer (1 to 2 weeks).

PILOT PROJECT

Pilot implementation of ready-to-use neural network services (2-4 weeks).

SCALING

Solution deployment and scaling.