Customer Introduction
The Jinwan District face-scanning smart government system integrates new AI technologies such as cloud computing, big data, face recognition, speech recognition, and machine learning. It is built on hardware including IoT face capture devices, speech recognition devices, and intelligent guidance devices, with technical support from the public security face verification interface and the TensorFlow AI learning framework. The system aims to facilitate public service applications, achieve accurate and efficient identity authentication, and leverage advanced technologies to create an efficient and convenient smart government system, improving accuracy, speed, and satisfaction for the public, enhancing window efficiency, reducing material errors, optimizing information collection and sharing, and enabling precise service and supervision.
Business Challenges
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The public needs to re-enter identity information for confirmation each time they conduct business, which is very inconvenient. -
Identity authentication relies on subjective judgment, resulting in low accuracy. -
The process for the public to conduct business is cumbersome and slow.
