Where are the main applications of face recognition?
Face recognition technology has experienced the three-layer evolution process of visible light image face recognition, three-dimensional image face recognition/thermal image face recognition, and multi-light source face recognition based on active near-infrared image, which gradually mitigates and solves environmental changes such as light. For the influence of face recognition and the continuous and precise evolution of algorithms, face recognition technology has gradually entered more and more new application fields.
In simple terms, face recognition technology is a mathematical formula for calculating the different position distances of facial organs. For the input face image or video stream, first determine whether it exists, and if so, further give each The position and size of the face and the position information of each major facial organ, and based on this information, further extract the identity features contained in each face and compare it with the known face database to realize the identity recognition function. .
Face recognition technology has experienced the three-layer evolution process of visible light image face recognition, three-dimensional image face recognition/thermal image face recognition, and multi-light source face recognition based on active near-infrared image, which gradually mitigates and solves environmental changes such as light. For the influence of face recognition and the continuous and precise evolution of algorithms, face recognition technology has gradually entered more and more new application fields.
Finance / Social Security
The application of face recognition in the financial industry is reflected in the emergence of face payment technology. On March 17, at the opening ceremony of the Hanover Electronics Fair in Germany, Ma Yun bought a 20 Euro Hanover Electronics Exhibition commemorative stamp on his website in front of Chinese Vice Premier Ma Kai and German Chancellor Merkel. Then, he paid the bill with his face and personally displayed Alipay's face recognition technology "SmiletoPay", and the face payment was kicked off.
In May 2015, the “Guiding Opinions on the Opening of RMB Bank Accounts by Banking Financial Institutions (Draft for Comment)” and the Internet Finance Upstart MicroBank and Zhejiang Online Merchant Bank revealed that they will use face recognition into remote account opening as a technology. Based on the "remote face recognition + identity verification" mode to open accounts for financial clients. This means that biometrics, represented by face recognition, is about to enter the formal commercial stage in the banking industry. Instantly, this kind of high-opening account has become a "sweet", and "eat by face" has become popular overnight. The integration of face recognition and the financial industry has been further strengthened.
On the other hand, face recognition is a escort for payment security. In recent years, due to the lack of a unified information sharing platform, that is, modern supervision means, the phenomenon of identity card fraud has been repeatedly banned, leading to social security, bank cards being stolen and stolen, and many people suffer huge economic losses. In order to prevent the “cold plugging” of pensions, many sites have adopted automatic identification for preliminary screening. The pilot work has achieved significant results and plans to carry out equipment upgrades nationwide.
Safe City / Community Area
The economic development has caused a large gap in the development of urban and rural economic levels. A large number of rural populations have flooded into cities, resulting in dense urban population and greatly improved liquidity, which has led to a series of security problems such as urban transportation and public security. In recent years, the social crime rate has been increasing year by year, especially cybercrime is more serious, network fugitives frequently occur, criminals' criminal methods are more concealed and advanced, and it is more difficult for public security personnel to detect cases. At the same time, vicious incidents occur from time to time, making people's sense of security in public places generally lower.
In some complex situations, such as airports, ports, stations, entertainment venues, streets, etc., the flow of personnel is frequent, and criminals are often mixed, which is the key monitoring area of the safe city. In addition, due to the large number of people entering and exiting large-scale communities/schools, security personnel cannot identify and check the entry personnel due to negligence and fatigue. The cameras installed at the entrances and exits cannot be intelligently checked and cannot be alerted. There are many uncertainties. And security risks.
Based on core cutting-edge technologies such as face recognition and intelligent video analysis, for the security management of long-distance passenger stations, railway stations and other public places and important entrances and exits, other objects can be distinguished from the video screen according to the characteristics of the face, and the video of the face can be found. Store and provide intelligent retrieval for future. As long as it is the face that appears in the surveillance camera screen, through the comparison method, the person can be found in the vast sea of people in a short time, providing a great weapon for the police to find someone, hunt down, etc., and become a crime against illegal activities. An important technology for a safe city.
education field
At present, the national crime of child trafficking is relatively rampant, with tens of thousands of victims and affected families. In order to minimize the risk of children being taken away by lawless elements during kindergarten school, the application of face recognition technology, parents brush their faces to pick up children, can curb the risk of trafficking from the source.
Secondly, in recent years, the state has formulated relevant examination policies and hopes to select and use talents in an open, fair and just manner. However, from the entrance examinations such as the senior high school entrance examination and the college entrance examination, to the qualifications for practicing, promotion and promotion, etc., the examination cheating phenomenon has appeared to varying degrees, and the patterns and techniques are unprecedentedly advanced and complicated, especially the high-tech equipment is put into the exam for cheating. The means is to increase the difficulty of the relevant agencies. In order to strengthen the certification management of the examination room, the face recognition self-certification is used to prevent the cheating phenomenon in the examination room. By automatically reading the information in the document locally and automatically detecting and capturing the face of the candidate, the photo features in the document and the real-time face feature are compared and identified to identify whether the candidate and the certificate are in the same identity. Automatically and quickly assist the invigilator to complete the inspection.
Nowadays, the phenomenon of “replacement”, “dismissal” and “discipline” in colleges and universities has been commonplace, and even a complete industrial chain has been formed. The reason for “study” is due to the loopholes in the traditional way of naming. Face recognition is based on the person's facial feature information for identity authentication. As long as the information is collected into the face attendance machine, each time a class is taken with one's own face, the attendance record can be fully realized, and it can be recognized in one second. And it won't be affected by light, so don't worry about discerning mistakes.
(Source: China Industrial Control Network)