With the rapid promotion of face recognition technology, face recognition applications accelerate the landing, since 2016, Face Recognition in the banking, securities, financial and social security, transportation, education, e-commerce, college entrance examination, airports, Screen, heat high. At present, face recognition has risen from industries with low security and reliability requirements, such as security and community, to those with high security and reliability such as financial social security, securities, banking, internet finance and e-commerce. Faced with the upsurge of smart city development, face recognition has become an advantageous weapon to promote the construction of smart cities.
The typical applications include:
1. Pension collection management. With the socialization of pension funds in full swing, the problem of taking a pension as a pension fund has become increasingly prominent. It is very difficult for the social security agencies to manage the health and living conditions of retired staff. The total number of retirees Up to one billion yuan. The use of face recognition technology can effectively check staff and reduce the loss of pensions.
2. Tax certification system. At the grassroots level, taxpayers often issue ID-based ID cards, resulting in loss of tax revenue. As a result, taxpayers' invoices have become overcrowded on the day before the deadline, and the waiting time for normal taxpayers to wait in line has been too long. Through face recognition technology, the system automatically compares the portrait taken by the camera with the portrait in the identity information of the public security department, and real-time authentication is performed. It not only effectively relieved the pressure of window duty officers, improved the efficiency of tax collection, but also enhanced the real-name system tax experience and reduced the tax-related risks.
3. Suspect tracking system. Based on face recognition technology, it monitors the public places such as long-distance bus terminals and train stations, compares the face in the video with the database of suspects, and prompts the suspects once the suspects are identified in the crowd. This greatly reduces the workload of managers, improves the efficiency of arrest and increases the safety of the city.
4. Community Management System. In the smart city, taking the smallest unit community in the city as an example, the non-cooperative face recognition can help the property management department to provide owners with more friendliness in terms of visitor management, property notification (utility bill information, garage information, etc.) Natural life experience.
5. Building access control system. Face recognition intelligent access control system by building an intelligent management capabilities of the identification system, combined with advanced face recognition algorithm, can accurately and quickly identify the face and open the door to improve the safety of buildings and homes.
6. Candidates authentication management system. Based on the special needs of the examination industry, it integrates computer, communication, network, face recognition technology, database and other diversified technologies into one application system project, providing examination agencies with such functions as information extraction, identity verification and management of ID card, and more For an efficient and fair test environment.
7. Driving learner's identity information and safe driving management system. Including the scene to verify, student identity, get off the car sign, driving time control.
8. Intelligent diet management system. The system carries out face recognition when the students bake the rice, records the daily dishes purchased by the students, gives the meal adjustment opinions according to the medical examination results of the hospital, records the case that the students waste more than 30% of the single waste food continuously, continuously optimizes the dishes and adjusts the student's diet structure .
9. Business Intelligence Analysis System. In physical business, the target customers' diversion and precision marketing have become important expenses of commercial costs. The efficiency of traditional passive shopping mall signage, manual push and shopping guide decline makes the precision marketing with artificial intelligence as the new point of business growth. Face recognition system can make full use of machine vision recognition and induction of human face features, the customer's gender, age, mood, etc. as the corresponding characteristics of business needs, targeted real-time delivery of customer interest content for the business goal Customer diversion and precision marketing. On the other hand, through the observation and study of the interest content of different groups of people, the matching accuracy of the target population push content is gradually improved.
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