We develop and provide real-time video analytics software powered with artificial intelligence and controllable through mobile applications.
DETECTOR is a pioneering AI video analytics system for detecting fare evasion in real-time. It allows ticket inspectors to focus on fare evaders and carry selective controls, without interfering in the transit of paying passengers.
Run inspections only on fare infraction alerts without bothering fare-paying passengers, a tactic especially convenient to limit the spread of Covid-19.
Use insights from aggregated data for planning informed operational, safety and security strategies.
DETECTOR is able to systematically detect different forms of fare evasion such as tailgating, gate forcing, reverse entry, sliding under or jumping over turnstiles, on different types of fare gates.
The system works exclusively on video analytics using feeds from video surveillance cameras, without any connection to ticket validation systems or to access gates.
In most cases, the AI system can be deployed on existing video management systems (VMS) using existing cameras and infrastructure. If a client does not have a VMS, Awaait can install a distributed system with direct connection to the cameras.
Video analytics processed centrally in rack server(s), connected to your VMS at your control centre
