The system is self-learning, meaning that each time we pass by, it adapts its parameters to prevent changes in appearance from causing it to fail to recognize us over time. It can identify us even with sunglasses, whether we're shaved or unshaven, with cuts, etc., and of course, it doesn't activate simply by presenting a photograph or a mobile phone image, thanks to its dual-camera system.
It also features an IR light source, allowing it to operate in varying lighting conditions and even in complete darkness.
Thanks to its internal Bionano algorithm, access control can identify up to 300 users with a recognition speed of up to 0.1 seconds (less than 1 second at full capacity). All this with a recognition rate exceeding 99%. It has a viewing angle of ±20º, enabling facial recognition for a wide range of individuals of varying heights. A color-coded indicator window signals when the image has been successfully captured, making the process simple and intuitive.
Its internal memory stores up to 200,000 records, allowing you to check who has entered or exited, or if any special alarms have been triggered.
It features a voice synthesizer that provides prompts for both configuration and operation.
A TCP/IP port enables communication, data download, and complete attendance management using the included free software or software developed by integrators; an SDK is also provided for developing your own application. It also has a USB port.
The device boasts a sleek, modern design with a 2.8" color touchscreen.
It is compact and operates on 12 VDC.
