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 designed to identify fare evasion in real-time. This technology enables the precise measurement and classification of fare evasion events. It also allows ticket inspectors to focus exclusively on fare evaders and conduct targeted controls, all while ensuring the smooth transit of paying passengers.
Our solution is engineered to prevent and significantly reduce financial losses caused by fare evasion in public transport systems.
Run inspections based solely on fare infraction alerts without bothering fare-paying passengers and enhancing operational efficiency.
Use data insights to design and implement informed operational, safety, and security strategies.
DETECTOR is proficient at detecting many forms of fare evasion across various types of fare gates, such as tailgating, gate forcing, reverse entry, sliding under, or jumping over turnstiles.
Our 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, our AI systems can be deployed onto existing video management systems (VMS), using your existing cameras and infrastructure. For clients without a VMS, Awaait can install a distributed system with direct connectivity to the cameras.
Video analytics processed centrally in rack server(s), connected to your VMS at your control centre
