<![CDATA[Conventional storage box systems still rely on physical keys that are prone to being lost. This study aims to design a smart storage box system based on facial recognition to enhance security and efficiency. The approach utilizes an ESP32-CAM module integrated with the Haar Cascade method for real-time face detection. The system's operation involves stages of face detection, feature extraction, and database matching. Upon successful authentication, the solenoid lock opens automatically; conversely, access is denied if the face is unrecognized. Testing on 30 facial image samples demonstrated a 100% success rate under normal lighting conditions. Additionally, the system recorded an average response time of one second for the lock to open. It can be concluded that the system operates stably and effectively as a keyless security alternative for storage boxes.]]>
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