Typical applications include:
1. Pension management. With the full implementation of the socialization of pensions, the issue of pensions has become increasingly prominent. It is difficult for social security agencies to manage the health and living conditions of retirees, and the situation is serious, resulting in the total number of annual pension losses. Up to one billion yuan. The use of face recognition technology can effectively check personnel and reduce the loss of pensions.
2. Tax certification system. In the grass-roots tax authorities, the phenomenon of using tax-exempt invoices by other people's ID cards often occurs, resulting in the loss of tax revenues. As a result, tax-free invoices are overcrowded all day long before the terminal is opened. Normal taxpayers wait in line for too long. Through the face recognition technology, the system automatically compares the portrait of the lens ingested with the portrait in the identity information of the public security department, and completes the real-name authentication in real time. Not only has it effectively alleviated the pressure on taxpayers in the window, it has improved the efficiency of taxation, and it has also enhanced the experience of real-name taxation and reduced tax-related risks.
3. Suspect tracking system. Based on the face recognition technology, the public places such as long-distance passenger stations and railway stations are monitored, and the faces in the video are compared with the database of suspects. Once the suspects are identified in the crowd, they are immediately alerted. This greatly reduces the workload of managers, improves the efficiency of arrest, and increases the safety of the city.
4. Community management system. In smart cities, taking the smallest unit community in the city as an example, through non-matching face recognition, the property management department can help the owners to be more friendly in terms of visitor management, property notification (water and electricity fee notification, 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 homes by constructing an intelligent identification management system and combining advanced face recognition algorithms to accurately and quickly identify faces and open access control.
6. Candidate 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 test institutions with functions such as information extraction, identity verification and management of candidates, and builds more An efficient and fair test environment.
7. Driving student identification information and safe driving management system. Including on-site verification, student identification, boarding and pick-up, driving time control, etc.
8. Intelligent meal management system. The system performs face recognition when students are cooking, records the dishes that students purchase every day, gives dietary adjustment opinions according to the results of the hospital physical examination, records the situation that students waste more than 30% of food, continuously optimizes dishes and adjusts the diet structure of students. .
9. Business Intelligence Analysis System. In the physical business, the drainage of the target customers and the precision marketing become the important expenditures of the commercial cost. The traditional passive market identification, manual push and shopping guides have reduced the efficiency, making the precision marketing with artificial intelligence as the core become the new growth point of the business. Face recognition system can make full use of machine vision to identify and inductive features of the face, and use the gender, age, mood, etc. of the customer as the corresponding features of business needs, and push the content of interest to the customer in real time to target the merchant. Customer group diversion and precision marketing; on the other hand, through the observation and learning of different people's interest content, gradually improve the matching accuracy of the target crowd push content. (Original title: Application of face recognition technology in smart cities)
A30 3000 Puffs,Replaceable Atomizer Vape Battery,Relx Vape,Ignite Vape 3000
Lensen Electronics Co., Ltd , https://www.lensenvape.com