The intelligent door lock camera 3D image detection system is developed in response to the rapid development trend of artificial intelligence and smart home security industry. Based on the actual product testing, quality inspection, and factory verification needs of smart door lock manufacturers, the core is to conduct special tests on the multi distance, multi angle, and multi posture signal triggering performance of the visual cat eye camera and facial recognition camera installed in smart door locks.

The system is equipped with a high-precision simulated human head model, which can restore the contour and facial features of a real person's head, simulate the user's daily use posture such as opening the door, approaching, side view, looking up, and looking down, and complete multi angle face recognition triggering experiments. The equipment adopts a composite adjustment mode of 6-axis automatic motion mechanism+1-axis manual fine-tuning, with precise and controllable motion trajectory, wide adjustment range, and high positioning accuracy; Equipped with our independently developed dedicated motion control system, it supports program-controlled automated action cycle testing, and can preset different testing paths, motion speeds, and dwell times. It automatically completes the signal triggering, wake-up response, and facial recognition sensitivity full-scale testing of the camera at different shooting distances, pitch angles, and left and right deflection angles.

The equipment is equipped with a dedicated upper computer testing software that reads real-time camera wake-up signals, capture signals, and facial recognition feedback signals through a stable communication protocol. It synchronously collects and records core data such as real-time positioning coordinates, motion trajectories, and trigger response time of the 6-axis mechanism. The testing process is fully visualized, with real-time data storage. Raw data and test reports can be quickly exported through a USB interface for subsequent data analysis, traceability verification, and quality control.

The system can comprehensively verify the key performance of smart door lock cameras, including wake-up sensitivity, facial recognition trigger distance threshold, angle adaptation range, low light environment recognition stability, and recognition accuracy in motion state. It covers the full scenario usage requirements of research and development verification, incoming material inspection, production line sampling, and factory inspection, effectively avoiding quality problems such as door lock camera recognition delay, recognition blind spots, false triggering, and missed triggering. It provides standardized and automated professional testing solutions for the performance optimization and quality control of smart door lock facial recognition modules.