Dnake 7" Android Doorhpone With Facial Recognition, 7“ TFT LCD, 1024 × 600 pixel, Supports SIP 2.0, Liveness detection, Surface mounted, IP65 rated

Dnake 7" Android Doorhpone With Facial Recognition - 905D-Y4

Description 

The DNAKE 905D-Y4 video door phone with 7” colour touch screen display is the pinnacle of video door phones.

In today’s age, personal and business security is a major area of concern, and we are continuously looking at how to improve our safety. Thus, it has become increasingly important for us to be in a position to see who is at the entrance to business parks, office buildings, residential estates, etc. The DNAKE range provides an IP based video intercom solution for both commercial and residential properties.

The video intercom solution consists of two key parts, namely door stations (outdoor units) and indoor monitors, which combine to provide a high-resolution video feed of visitors at your entrance. The door station allows the visitor/guest to dial the unit/apartment/office, with the built-in camera providing the video feed. This will cause the indoor monitor to “ring” and display the video feed from the door station camera. Now you can talk to the visitor and remotely unlock the door (if the solution has been connected to a magnetic door lock or similar).

The DNAKE video intercom solution is based on standard SIP, ensuring that it can interface with IP Phones (such as Yealink IP Phones) and IP PBX (such as 3CX) for a complete IP solution.

The DNAKE 905D-Y4 video door phone with 7” colour touch screen display is the pinnacle of video door phones. The 905D-Y4 video door phone is ideal for upmarket multiple dwelling units, estates, business parks or office blocks, with the touch screen display offering ease of use. Although it is touch screen, the system is IP65 rated to protect it from the harshest environments and heavy use. Access can also be gained using a pin number, RFID Card (Wiegard compatible) and biometrics, such as facial recognition. The dual camera system supports “Liveness” detection for facial recognition to protect from image spoofing.