The reasons why Minsheng Bank failed to obtain facial recognition parameters include poor lighting conditions, facial occlusion, posture changes, poor quality cameras and recognition algorithm defects.

Poor light conditions mean that in strong light or dark light environments, the camera cannot obtain a clear facial image, resulting in recognition failure. This is because the light is too strong or too dark, making it impossible to accurately capture facial features. If the face is obscured by objects, such as masks, hats or glasses, the face recognition system cannot accurately identify facial features, leading to failure. If the user's facial posture changes significantly during the recognition process, such as side face, head tilt, etc., the system will not be able to correctly match facial features, resulting in recognition failure. Using a poor quality camera or a damaged camera will result in reduced image quality and affect the accuracy of face recognition. The quality and accuracy of face recognition algorithms depend on the technical level of the developer and the design of the algorithm. Some recognition algorithms are flawed, resulting in false matches or misidentifications. To improve the success rate, it is recommended to perform recognition under good lighting conditions, avoid facial occlusion, keep facial posture stable, and use high-quality cameras and optimized recognition algorithms.