For a long time, due to the lack of effective means to identify the authenticity of personal identity documents and judge the combination of people and evidence, it is difficult to verify the authenticity of personal identity documents. At the same time, a large number of id card copies by bank tellers not only reduce the efficiency of business processing, but also increase the difficulty and cost of keeping files.
Based on the face recognition platform and algorithm of eye science and technology, face photos collected at the scene can be compared with the face information of various template databases such as the Network verification database of the Ministry of Public Security, household registration database and document photo database, so as to complete the verification of user identity more scientifically and effectively, ensure the integration of human identity and strengthen risk control.
Face recognition network verification innovation model: using the uniqueness of face recognition features, accurate and convenient to achieve customer "integration of human and witness" verification, the successful implementation of face recognition technology in the bank network verification system application;
Controllable in the event and traceable afterwards: real-time DE face recognition and customer identity verification can be realized on the business site. At the same time, the system has functions such as personnel management and log query, which can realize the follow-up record and responsibility traceability.
Financial level fourth generation face recognition algorithm, dynamic template fusion patented technology: The fourth generation face recognition algorithm (TesoFace V4.0) lasted 8 years of research and development, has applied for a number of patents, the face rotation in the upper and lower 30 degrees can be accurately recognized, more than ISO/IEC 19794-5 international standard requirements, can effectively solve the photo, video and other security problems. Original dynamic template fusion patent technology, for plastic surgery, age change, fat and thin situations, the algorithm has a good recognition and processing scheme;
Based on the ABIS multi-mode biometric unified platform, easy to expand: The solution is based on the ABIS multi-mode biometric unified platform independently developed by the company, providing standard API interface, which can be smoothly connected with the banking system to achieve end-to-end customer information verification.
Accurate, safe and effective verification of customer real identity, more efficient risk control
Standardize the teller operation process, scientific verification of user identity, to avoid inconsistent manual standards
Intelligent identification and log recording of the whole process, and later traceability
Multi-channel business management, self-service, no queue, low cost, more efficient
It can be widely used in all kinds of financial scenarios, such as the integration of counters and certificates, self-service terminal identity verification, community/self-service bank customer identity verification, one-to-many service desks and so on.