Zowor Door Industry Co., Ltd
Make Zhongwo a fixed star in the development history of the door industry.
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Suitable for residential, commercial, hotel, villa and other high-end places
High-end villa fingerprint lock password lock supports OEM
Product Parameter
| Brand | ZHONGWO |
| Material | Zinc alloy |
| Power supply | No.5 batteries--4 pieces |
| Stand-by current | ≤50UA |
| Suitable thickness of door | 40mm~100mm |
| Lock mode | L8866F |
| Security key | Grade C lock |
| Fingerprint capacity | 200 |
| Scope of work | -25℃-55℃ |
| Battery life | About 1 year |
| Unlocking method | Finger print, Password, key |
| Working humidity | ≤93% |
| Password length | 6-14 word |
| Suitable for door type | Wooden door/Security door |
Product Size
Product Details
26 craft processes, 108 precision processes, full zinc alloy panel, corrosion resistance, acid and alkali resistance,
oxidation resistance, not easy to be eroded by sweat and years, using advanced gyroscope technology to overcome
the infrared sensor on the door is easy to misjudge Disadvantages, to achieve a true and reliable "full automatic",
to achieve the leap of an automatic lock, convenient and reliable.
5A drilled display screen, wear-resistant without leaving traces, Apple touch screen technology, 0.5 seconds sensitive response, wear-resistant and scratch-resistant, leaving no fingerprint marks.
With door lock abnormality, it can only sense the alarm, try to unlock the alarm, tamper-proof alarm, low voltage alarm, 10 consecutive wrong input alarms, violent opening alarm, and low battery alarm.
You can also set a combination unlocking. If you are afraid that the fingerprint, magnetic card, and password unlocking alone are not safe enough, you can also set two unlocking methods to unlock the lock: +fingerprint light touch, +magnetic card unlocking, +password input.
Anti-violent free handle, lock and automatic free state, effectively protect internal components, lift up twice to reverse lock, press down to unlock, automatically lock, prevent trailing.
Artificial intelligence algorithms are more sensitive as they are used. Fingerprint stitching, image recognition, and self-learning algorithms will continuously reduce the rejection rate and improve the pass each time. High-speed operation of the core to ensure stability, high-performance processor, low power consumption, improve the overall machine's anti-risk and anti-burst capabilities.