Eyecool multi-modal face & iris recognition access control covers face, iris and other in-depth facial features, achieving identity authentication and access control. With the original multimodal integrated biometric algorithm developed by Eyecool, the device possesses the convenience in facial recognition and preciseness in iris recognition. It has been widely applied in places that have high requirements on security level such as computer rooms, vaults, offices, etc.
Sense and recognize facial, iris and multimodal features automatically, acquire biometric features insensibly.
With original deep learning platform, the device can enrich dynamic modal information in an all-round way.
Precise recognition even with masks, hats, contact lenses, goggles, etc. Users can pass smoothly without affecting safety protection.
Adaptive height of 1.4-1.9 meters, dynamic positioning for iris and face capture.
The device has obtained primary international certifications such as CE, RoHS and FCC.
360 degree soft adaptive fill-in light, good recognition effects under various light conditions.
The device integrates the card recognition synchronously, hidden card swiping design under the screen, which is simple and fashionable.
Realize cloud platform data management and permission allocation. Multi terminal sharing with one-time registration, easy to realize the smooth connection of the whole scenes.
Basic Parameters | Dual Cameras | Color camera: 4M resolution |
Near infrared camera: 2M resolution | ||
Fill-in Light | Adaptive near infrared fill-in light | |
Visible light ring fill-in | ||
Screen | Vertical screen, 5.5 inches, multi-touch | |
Card Reader | M1 card | |
Recognition Mode | Iris recognition / face recognition / multimodal fusion recognition | |
Comparison Type | Local comparison / cloud comparison | |
Communication Mode | WiFi/ RJ45 | |
Hardware Interface | RS232/RS485/ Wiegand 26/34/Switching value | |
Indicator Light | Red, green and white indicator lights | |
Power Supply | 12V/2A | |
Distance Sensor | Automatic activation by sensing movement of human body | |
Recognition Distance | 40-55 cm (full coverage of iris and face) | |
Height Adaptation Range | 130cm~190cm (installed at 160cm) | |
Performance Metrics | Support Capacity | 20,000 people |
Comparison speed | 1 second (local) 2 seconds (cloud, in a smooth network environment) | |
Error Recognition Rate | Less than one billionth | |
Other Parameters | Microphone | Used in video call and message leaving |
Doorbell Horn | Built-in 2W horn | |
Temperature Range | -35°C ~ 60°C |
It supports cloud platform and is suitable for access control in general scenes.
Applicable to scenarios that parts of people's faces are covered, such as hospital operating room, coal mine, etc.
It's applicable to access control in places that have high requirements on security level such as bank vaults, data center, etc.
