Face recognition technology has experienced three-level evolution processes: visible image face recognition, 3D image face recognition / thermal imaging face recognition and multi light source face recognition based on active near infrared images. It has gradually alleviated and solved the impact of environmental changes such as light on face recognition, coupled with the continuous accurate evolution of the algorithm, Face recognition technology has gradually entered more and more new application fields.

In short, 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 judge whether it exists. If it exists, further give the position and size of each face and the position information of each main facial organ, and based on these information, The identity features contained in each face are further extracted and compared with the known face database, so as to realize the function of identity recognition.

Face recognition technology has experienced three-level evolution processes: visible image face recognition, 3D image face recognition / thermal imaging face recognition and multi light source face recognition based on active near infrared images. It has gradually alleviated and solved the impact of environmental changes such as light on face recognition, coupled with the continuous accurate evolution of the algorithm, Face recognition technology has gradually entered more and more new application fields.

Finance / social security

The application of face recognition in the financial industry, on the one hand, is reflected in the emergence of face payment technology. In March 17th, at the opening ceremony of the electronic exhibition in Hannover, Germany, Ma Yun bought a 20 euro commemorative stamp of Hannover Electronics Exhibition in 1948 on the website of China’s Vice Premier Ma Kai and German Chancellor Merkel. Then he paid his bill with face, and personally displayed Alipay’s face recognition technology “SmiletoPay”.

In May 2015, the guidance on remote opening of RMB bank accounts by banking financial institutions (Exposure Draft), as well as the Internet Financial upstart Weizhong bank and Zhejiang e-commerce bank disclosed that they would integrate face recognition into remote opening of accounts as a technical basis and use the mode of “remote face recognition + ID verification” to open accounts for financial customers. This means that the biometric technology represented by face recognition is about to enter the formal commercial stage in the banking industry. In an instant, this tall way of opening an account has become a “sweet cake” and “eat by your 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 the escort of payment security. In recent years, due to the lack of a unified information sharing platform, that is, modern regulatory means, the phenomenon of ID card fraud has been banned repeatedly, resulting in the theft and swiping of social security and bank cards, and many people have suffered huge economic losses. In order to prevent the “plugging” of fraudulent pension claims, many places have adopted automatic identification for preliminary screening, the pilot work has achieved significant results, and plans have been made to carry out equipment upgrading nationwide.

Ping An City / community

Economic development has resulted in a large gap between urban and rural economic development, a large number of rural population flowing into cities, resulting in dense urban population and greatly improved mobility, leading to a series of safety problems such as urban traffic and public security. In recent years, the social crime rate has increased year by year, especially the network crime is more serious, the network fugitives occur frequently, and the criminal techniques of criminals are more hidden and advanced, which increases the difficulty for the majority of public security personnel to detect cases. At the same time, malignant events occur from time to time, which generally reduces people’s sense of security in public places of life.

On some occasions with complex personnel, such as airports, ports, stations, entertainment places, streets, etc., personnel flow frequently, and criminals are often mixed, which is the key monitoring area of safe city. In addition, due to the large number of people in and out of large communities / schools, the security guards are unable to identify and check the entrants due to negligence, fatigue and other reasons. The cameras installed at the entrances and exits can not be intelligently checked and can not give early warning, so there are many uncertain factors and potential safety hazards.

Based on the core cutting-edge technologies such as face recognition and intelligent video analysis, for the safety management of long-distance passenger stations, railway stations and other public places and important entrances and exits, other objects can be distinguished in the video screen according to the characteristics of the face, the video of the face can be found for storage, and intelligent retrieval can be provided for the future. As long as the face appears in the surveillance camera screen, through comparison, this person can be found in the vast sea of people in a short time, which provides a powerful tool for the public security to find people and pursue people, and has become an important technology to crack down on illegal and criminal activities and build a safe city.

Field of Education

At present, the crime of abducting and trafficking in children is rampant across the country, with tens of thousands of victims and families. In order to minimize the risk of children being falsely claimed by criminals during their schooling in kindergartens, the application of face recognition technology and parents brushing 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, hoping to select and use talents in an open, fair and just way. However, the phenomenon of examination * * has appeared to varying degrees from the entrance examination, college entrance examination and other entrance examinations, to the examination of professional qualification, promotion and promotion, and the patterns and technologies are unprecedentedly advanced and complex. In particular, the means of cheating in the examination with high-tech equipment increases the difficulty of seizure by relevant institutions. In order to strengthen the certification management of the examination room, face recognition self certification is used to prevent the occurrence of “hard * *” phenomenon in the examination room. By automatically reading the information in the certificate locally and automatically detecting and capturing the examinee’s face at the same time, the photo features in the certificate and real-time face photo features are compared and recognized to identify whether the examinee and the certificate are the same identity, and automatically and quickly assist the invigilator to complete the inspection work.

Nowadays, the phenomena of “replacing classes”, “skipping classes” and “rubbing classes” in Colleges and universities are common, and even a complete industrial chain has been formed. The reason for the emergence of “replacing classes” is attributed to the loopholes of the traditional oral roll call. Face recognition is based on people’s facial feature information for identity authentication. As long as the information is collected and input into the face attendance machine, each class can fully realize the attendance record as long as you bring your own face, which can be recognized in one second, and will not be affected by light, let alone worry about discrimination errors.

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