3D Face Recognition App Wifi Fingerprint Lock for Home Security

3D Face Recognition App Wifi Fingerprint Lock for Home Security
Face Recognition Door Lock Overview
The lock is equipped with a high-quality camera. This camera allows you to monitor who is at your door in real-time. Whether you are at home or away, you can check the live feed through the mobile app. The camera also has features like night vision, ensuring clear visibility even in low-light conditions.
Parameters Table and Parameter Details

Application Scenarios

For homeowners who are into gardening and have their hands full of plants or gardening tools, the lock's facial recognition is a boon.
When a family member is trying to bring in a new pet, the smart door lock allows for a smooth entry.
If a homeowner is in a rush to catch a flight and needs to quickly grab something from home, the smart door lock saves precious time.
During a local festival, homeowners can easily enter and exit their homes as the lock recognizes them, even if they are wearing traditional costumes.
For families with a nanny or a housekeeper, the smart door lock can be programmed to recognize them during their working hours.

Product Features and Advantages Features

Features a backup power source, such as a USB port, that allows you to use a power bank or other USB-powered device to temporarily power the lock in case of a battery outage.
Ensures you are not locked out of your home during unexpected power failures.
Many 3D facial recognition smart door locks are battery-powered, with long-lasting batteries that can last for several months on a single set.
Some models are rechargeable, eliminating the need to constantly replace batteries and reducing environmental waste.
Displays the battery level on the lock itself or through the associated mobile app.

Considerations for Use

For locks with solar-powered backups, ensure the solar panel is installed in a location with sufficient sunlight exposure.
Enroll facial data in a well-lit environment (500lux - 2000lux) to ensure clear image capture.
Avoid enrolling faces with obstructions such as masks, hats, or sunglasses, as this may reduce recognition accuracy.
Enroll each user’s face from multiple angles (front, slight left, slight right) to improve recognition success rates.
Update facial data if a user undergoes significant appearance changes (e.g., new hairstyle, beard growth) to maintain accuracy.