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Traditional storage lockers often require coins, paper barcodes, or scanning mobile QR codes, and so on, which are inconvenient, prone to low operational efficiency, and have risks such as lost or damaged unlocking credentials. In order to effectively solve these problems, smart face recognition storage lockers have emerged. The smart face recognition storage locker solution utilizes facial recognition technology, replacing traditional paper notes, keys, or cards with the user's face as the credential for opening the locker. When using the storage locker, users can register their facial information into the system by selecting the "store" option and having their face captured. When picking up things, you can open the locker to store things via facial recognition, saving your time for keeping notes and cards. At the same time, the smart face recognition storage lockers in scenic areas can record and analyze customer storage and picking up records in the background, providing convenience for locker administrators to understand the usage status of the storage lockers. As the core component of a smart face recognition storage locker, the controller needs to have the following functions: Multi-mode recognition: The controller should support various recognition modes, such as face recognition, fingerprint recognition, IC card recognition, etc., to meet the needs of different users and provide more flexible identity verification methods. High-performance processor: Equipped with high-performance processors to ensure the response speed and processing capacity of the system, to adapt to large-scale users and high-frequency access scenarios. Network connectivity and cloud services: It has the ability of network connection, supports communication with cloud services, and realizes remote monitoring, management, data synchronization and other functions. Safety guarantee: It emphasizes the security of user data and uses encryption algorithms and other technical means to prevent information leakage and illegal access. Open interface: It provides rich interfaces for easy integration with other hardware devices, such as door magnets, electric locks, sensors, etc., to realize a more complete access control or security system. Forlinx has launched the FETMX8MP-C System on Module(SoM) as the main control scheme of the control cabinet.This platform is developed and designed based on the NXP i.MX 8M Plus processor. This family of processors focuses on machine learning and vision, advanced multimedia, and industrial platforms with high reliability. Human-machine interaction: The FETMX8MP-C SoM can support 4K display output at most, and can support three display interfaces and three different displays; Rich peripheral interfaces: With rich interfaces, it supports integration with other hardware devices, such as door magnets, electric locks, sensors, etc., to build a complete access control or security system. Face acquisition: Built-in image signal processor (ISP) and two camera inputs can efficiently and accurately identify and verify the user's identity. AI capability: with neural processing unit (NPU), the maximum running rate can reach 2.3 TOPS, which can match advanced face recognition algorithms; Originally published at www.forlinx.net.