V31 Touch Screen Black+Sliver Villa Indoor Station combines 2 Video input and calling transfer. At the same time, it supports video record with picture.
The 4.3”Facial Recognition Android Video Door Phone Model 19 has a face recognition function, unlocks after successful recognition, and has voice prompts; the host can recognize faces in forward light, backlight, side light, and dark field environments.
The 7” Facial Recognition Video Door Phone Model 21 has access control unlocking, namely IC card unlocking, QR code, password, Bluetooth and other unlocking methods
The 4.3”Facial Recognition Linux Video Door Phone Model 29 adopts tempered glass panel, with explosion-proof function, explosion-proof grade up to IK07; with night light supplement function, video image preprocessing function, to achieve better picture quality; with holding alarm function, after holding the password to open the door , Will send a hijacked alarm message to the platform, and no local alarm will occur.
The 10.1”Dual Camera Video Door Phone Model 31 adopts an offline face recognition solution, which can support up to 20,000 face base libraries; it has professional anti-fog technology to reduce internal fogging caused by temperature differences, and focus on solving the problem of unrecognized image blur
The 7”Linux Indoor Station V52 can answer the call of the outdoor network host on the intelligent terminal, conduct visual intercom and remotely unlock the lock.
A new generation of intelligent integrated control terminal integrates multi-dimensional interactions such as voice, ·App· and touch, and integrates functions such as intercom, video surveillance, security alarm and home control. AI intelligence is the intelligence of the whole house, realizing the seamless connection between community and home life scenes.
The 10.1”Dual Camera Video Door Phone Model 31 adopts an offline face recognition solution, which can support up to 20,000 face base libraries; it has professional anti-fog technology to reduce internal fogging caused by temperature differences, and focus on solving the problem of unrecognized image blur