What are the reasons for the failure of electronic driver's license facial recognition?
2 Answers
There are several reasons why facial recognition may fail: network conditions, lighting conditions, and software version. Detailed information: Network conditions: The device is not connected to the network or the signal is too weak to upload the recorded data to the terminal, preventing the execution of the next instruction. Lighting conditions: If the environment is too dark during facial recognition, the device cannot clearly identify the face. Software version: The system has pushed the latest software version, but the device has not been updated, affecting data transmission to the terminal. Facial recognition: Facial recognition technology is based on human facial features to identify input facial images or videos.
As a driver who frequently uses electronic driver's licenses, I have summarized the main reasons for facial recognition failures. Environmental lighting is crucial; for instance, if the car interior is too dark or there is direct sunlight, the camera may struggle to capture facial details clearly. Changes in facial appearance also have a significant impact—weight gain or loss over time, or alterations in hairstyle or facial hair can cause the recognition system to falter. Obstructions like masks, glasses, or hats covering the face are common issues. App software bugs, outdated versions lacking updates, or unstable recognition algorithms can also lead to failures. Poor network connectivity and weak signals causing data upload delays are additional factors. Moreover, operational errors such as not facing the camera directly, unnatural facial expressions, or extreme conditions like rain or vibrations can result in recognition failures. To prevent these issues, it is advisable to use adequate lighting, maintain a natural expression, and regularly update the App.
