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Smart door Lock Storage technology revealed: Why 100 people information only needs minimal space?

2025-04-15

Smart door Lock Storage technology revealed: Why 100 people information only needs minimal space?

Many users mistakenly believe that the face recognition door lock to store face information needs to take up a lot of space like traditional photos, for example, to save a 1MB photo, 100 people need about 100MB storage capacity. ZmartPlus, however, takes an entirely different technological path - biometric coding. Instead of saving a complete face image, we use AI algorithms to accurately extract key facial feature points, such as unique biological information such as eye distance, nose bridge outline, and cheekbone position, and convert it into a string of encrypted digital codes. This code only records the core data of identification, rather than the image itself, solving the storage burden problem at the root.

In terms of data volume, traditional image storage is in stark contrast to our technology. The encoded facial features of a single user require only about 0.5KB of storage space, which is only equivalent to 1/2000 of the data of an ID card photo. Even if 100 people are recorded, the total storage is only about 50KB, which is even smaller than the space occupied by an ordinary text message. This extremely lightweight design makes the camera smart lock need not worry about storage capacity restrictions in long-term use, users can increase or decrease permissions at any time according to demand, and the system space always remains efficient and controllable.

In order to achieve a balance between safety and efficiency, Home Smart Lock have built a triple core technology assurance system. First, the deep optimization algorithm runs on a lightweight AI model that strips away redundant image details in milliseconds, leaving only the 256-dimensional feature vectors for identity verification. Secondly, these feature data will be processed by AES-256 dynamic encryption technology and stored in a separate security chip, even if the device is illegally disassembled, it is not possible to reverse restore the original face image through the feature code. More importantly, the entire system adopts edge computing architecture, and all data processing is completed locally, which avoids the delay risk of cloud transmission, increases the identification response speed by 60%, and completely eliminates the possibility of cloud data leakage.

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For users, this means three core values: the device will never have to worry about running out of storage space for a lifetime, even if the family member or visitor privileges are updated frequently; The speed recognition experience of 0.2 seconds makes the door opening almost feel less, and the elderly and children can easily use it; More importantly, because the system never saves real face photos, the server and the cloud are completely zero-contact biometric data, fundamentally building a firewall for privacy protection.

 

This technological innovation is creating value in multiple scenarios. Enterprise users can manage the access rights of 90 employees and 10 visitors at the same time, without the need for physical cards to achieve accurate attendance management; Hostel operators can generate exclusive encryption signature code for each group of tenants, and clear the authority with one click after checking out, completely solving the security risks of easy copy of traditional keys; For multi-generation families, the system's unique all-age facial adaptation algorithm can not only accurately identify the facial changes in the growth of children, but also stably capture the wrinkles of the elderly, truly realizing "one face, lifetime use."

 

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As our technical experts put it: "Like a loyal guard with advanced recognition, the ZmartPlus Face Recognition Smart Lock does not remember your face, but compiles your facial features into a unique 'biometric key'. Harder to copy than a fingerprint and harder to forget than a password, it strikes the perfect balance between protecting security and respecting privacy."

 

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