
110mm 0.1s Apartment Fingerprint Password Smart Lock
Contact Person : lan
Phone Number : 176 3354 0888
Minimum Order Quantity : | 1 set | Price : | negotiable |
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Packaging Details : | Inside Bubble Bags+ Strong Carton+Wooden Frame | Delivery Time : | 35 Days After Payment Received |
Payment Terms : | western union, moneygram,cash, l/c, t/t | Supply Ability : | 600 Sets per Day |
Place of Origin: | CHINA | Brand Name: | ZHONGWO |
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Certification: | 3C, ISO9001:2008 | Model Number: | ZNS-011 |
Detail Information |
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Material: | Zinc Alloy | Virtual Password: | 200set |
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Unlock Time: | ≥0.1s | Lock Body Model: | Lock Body Model |
Stainless Steel Bolt: | Have | Color: | Bronze/Gold/black |
Highlight: | Biometric Intelligent Fingerprint Lock,0.1s Hotels Intelligent Fingerprint Lock,Anti Theft Intelligent Fingerprint Lock |
Product Description
Smart Lock Door Security Intelligent Fingerprint Lock With WiFi APP Password Biometric Door Lock Electronic Hotels
Product parameter
main material | Zinc alloy |
Product number | D9888F |
Size | L440×W76 |
Wild lock cylinder | National Standard/Overlord Lock Cylinder |
Anti-lock function | Indoor independent lock |
Fingerprint sensor type | Semiconductor fingerprint head |
Fingerprint capacity | 200 |
Password, card capacity | Password+1000set |
Ambient temperature | -20°C-55°C |
Unlock record | 1000 |
Static voltage | Low power consumption less than 50μA |
General door type | Anti-theft door/wooden door/bronze door/composite door, etc. |
Use environment humidity | RH(45-85)% |
Applicable door thickness | 40mm-110mm |
Use gate type | Glass door |
Product Description
Product Description
The design is inspired by real racing cars, using the reference design of racing car appearance, and the exquisite craftsmanship, it is natural and luxurious.
Only a human voice system, with human voice prompts throughout the process, equipped with humanized keyboard navigation, easy to use for the elderly and children.
Automatically wake up when the lid is opened, and the 5A-level drilled screen automatically wakes up when the lid is pushed, directly enter the fingerprint/password for verification.
300,000 times of sturdy and durable handle test, the handle is in a free state after being locked, which effectively protects the internal parts from being damaged by violence, and the accumulation of rotation and pressing will not affect the fingerprint head.
The US T1 microsecond chip self-learning function, fingerprint identification speed only takes 0.3 seconds, and learns user fingerprints, the more you use it, the more sensitive it is.
The password is anti-peeping. You can still open the door by entering a garbled code before the password, and you can unlock the door decently without covering it.
It also supports Bluetooth unlocking and card unlocking. The hotel is equipped with a special card to unlock the lock.
Four AA batteries can last for one and a half to two years. It has a long battery life and is extremely power-saving. If there is no power, you can connect the power bank to the USB interface. After emergency unlocking, open the door and change the battery, which will never affect normal use.
For white-collar office workers who often work overtime and return home at night, or families with children, turn on the mute mode and turn off the beep to mute and unlock the lock without disturbing the rest of the family.
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.
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