Analysis: What are the market areas of face recognition technology?

Simply speaking, face recognition technology is a mathematical formula for calculating the different location distances of facial organs. For the input face image or video stream, first of all, it judges whether it exists. If it exists, it further gives the location, size of each face and the location information of each major facial organ. Based on this information, it further extracts each face. The implied identity features are compared with the known face database to realize the function of identity recognition.

Face recognition technology has gone through three evolutionary stages: visible image face recognition, three-dimensional image face recognition/thermal imaging face recognition, active near infrared image based multi-light source face recognition, gradually alleviating and resolving the impact of changes in the environment such as light on face recognition. In addition, with the continuous precise evolution of algorithms, face recognition technology has gradually entered more and more new application fields. Domain.

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 bought a 20 euro commemorative stamp of the Hannover Electronic Exhibition in 1948 on the website of China's 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".

In May 2015, the Guidelines on Remote Opening of RMB Bank Accounts by Banking Financial Institutions (Draft for Opinions) and the Internet Finance Novelty Weizhong Bank and Zhejiang Internet Commercial Bank all disclosed that they would integrate face recognition into remote opening of accounts as a technical basis and open accounts for financial customers using the model of "Remote Face Recognition + Identity Certificate Verification". This means that the biometric technology represented by face recognition will enter the formal commercial stage in the banking industry. Instantly, this tall way of opening accounts has become "fragrant baboon" and "eating by face" overnight. The integration of face recognition and the financial industry has been further strengthened.

On the other hand, face recognition is a safe escort for payment. In recent years, due to the lack of a unified information sharing platform, i.e. modern means of supervision, the phenomenon of identity card fraud has repeatedly been prohibited, resulting in social security, bank cards stolen and brushed, many people suffered huge economic losses. In order to prevent the leakage of pension collateral, automatic identification has been used in many places for preliminary screening. The pilot work has achieved significant results, and equipment upgrading work has been planned to be carried out nationwide.

Ping An City/Community Area

Economic development has resulted in a large gap between urban and rural economic development, a large number of rural population influx into the city, resulting in dense urban population, and greatly improved mobility, causing a series of security problems such as urban traffic, public security and so on. In recent years, the social crime rate is increasing year by year, especially the network crime is more serious, the network fugitives occur frequently, and the criminals'criminal methods are more concealed and advanced, which makes it more difficult for the public security personnel to detect cases. At the same time, malignant incidents occur from time to time, making people generally feel less secure in public places of life.

In some complex situations, such as airports, ports, stations, entertainment venues, streets and so on, people flow frequently. Criminals are often mixed among them, which is the key monitoring area of Ping'an city. In addition, due to the large number of people in and out of large communities/schools, security due to negligence, fatigue and other reasons, it is impossible to identify and investigate the entrants. Because the camera installed at the entrance and exit can not be intelligently checked, it can not do early warning, so there are many uncertainties and security risks.

Based on the advanced technologies such as face recognition and intelligent video analysis, aiming at the safety management of public places such as long-distance passenger stations, railway stations and important entrances and exits, we can distinguish other objects in the video screen according to the characteristics of faces, find the video of faces for storage, and provide intelligent retrieval for the future. As long as the face appears in the surveillance camera picture, it can be found in the vast crowd in a short time by means of comparison, which provides a great weapon for the public security to find people, hunt down and so on, and becomes an important technology to fight against illegal and criminal activities and build a safe city.

Educational field

At present, the crime of abducting and selling children is rampant throughout the country, with tens of thousands of victims and families. In order to minimize the risk of children being falsely led by criminals during kindergarten schooling, parents can use face recognition technology to pick up children by brushing their faces, so as to curb the risk of abduction 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, from entrance examinations such as entrance exams, college entrance examinations, to professional qualifications, promotion and other examinations, the phenomenon of examination** has appeared to varying degrees, and the pattern and technology are unprecedentedly advanced and complex. Especially, the means by which high-tech equipment is put into the examination to cheat increase the difficulty of detection by relevant institutions. In order to strengthen the management of examination room authentication, face recognition self-certification is used to prevent the occurrence of "hard**" phenomenon in examination room. By automatically reading the information in the certificate 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 help the examiner to complete the examination work automatically and quickly.

Nowadays, the phenomena of substituting, skipping and rubbing classes in Colleges and universities are not uncommon, and even a complete industrial chain has been formed.