[technical knowledge] The application of face recognition technology in smart cities

With the advent of the artificial intelligence era, current computer vision recognition technologies have even surpassed humans to some extent, and computer vision and smart unmanned devices are rapidly gaining popularity. As a typical application of artificial intelligence, face recognition technology becomes the first connection of artificial intelligence.

Typical applications include:

1. Pension management. With the comprehensive rollout of the socialization of pensions, the issue of fraud in pensions has become increasingly prominent. It is difficult for social security agencies to manage the health and living conditions of retirees, resulting in serious fraud and resulting in the total number of national pension losses each year. Up to one billion yuan. The use of face recognition technology can effectively conduct personnel verification and reduce the loss of pensions.

2. Tax certification system. In the tax authorities at the grass-roots level, the phenomenon of fraudulent use of other people's identity cards to issue tax-free invoices often results in the loss of tax revenue. It also leads to tax-exempt invoices being filled overnight before the terminal is opened, and normal taxpayers wait in line for too long. Through the face recognition technology, the system automatically compares the lens intake image with the portraits in the * department identity information, realizing real-name authentication in real time. It not only effectively relieved the pressure of the window tax personnel, improved the efficiency of taxation, but also enhanced the real-name taxation experience and reduced the tax-related risks.

3. The suspect tracking system. Based on face recognition technology, monitoring of long-distance passenger stations, railway stations and other public places will be conducted, and the face in the video will be compared with the database of suspects. Once the suspects are identified in the crowd, they will immediately report an alarm. This greatly reduces the workload of managers, improves the capture efficiency, 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, non-combined face recognition can help the property management department to provide owners with more friendliness in terms of visitor management, property notices (utility notices, garage information, etc.). Natural life experience.

5. Building access control system. The face recognition intelligent access control system can improve the security of buildings and families by constructing an identification system with intelligent management functions and combining advanced face recognition algorithms to accurately and quickly identify faces and open access controls.

6. Candidate authentication management system. Based on the special needs of the examination industry, an application system project integrating computer, communication, network, face recognition technology, database, and other diversified technologies will provide examination organizations with functions such as information extraction, identity verification, and management of candidates' ID cards. For an efficient and fair examination environment.

7. Drivers' identification information authentication and safe driving management system. Including on-site verification, student identification, getting on and off the car, driving time control.

8. Smart meal management system. The system performs face recognition while the students are having a meal, records the students' daily dishes, and gives dietary adjustment opinions based on the results of the hospital's physical examination. .

9. Business Intelligence Analysis System. In physical business, target customers' drainage and precision marketing become important expenses for business costs. The decline in efficiency of traditional passive shopping mall logos, manual push and shopping guides makes precision marketing with artificial intelligence the core of new business growth. The face recognition system can make full use of machine vision's feature recognition and inductive ability of the human face, and take the customer's gender, age, and mood as the corresponding characteristics of business needs, and push the content of interest to the customer in real time in a targeted manner to achieve goals for the merchant. Customer group diversion and precision marketing; on the other hand, through the observation and learning of the interest content of different groups of people, the matching accuracy of the push content of the target group is gradually improved.