What fields can face recognition software system be used in?

Scientifically analyze what is face recognition technology.

The so-called face recognition technology, that is, based on human facial features, judges the input face image or video stream, and first judges whether there is a face. If there are faces, the position and size of each face and the position information of the main facial organs are further given. According to this information, the identity features contained in each face are further extracted and compared with known faces, so as to identify the identity of each face. The research of face recognition technology began in the late 1960s. Since the late 1990s, some commercial face recognition systems have gradually entered the market. However, these technologies and systems are far from being practical, and their performance and accuracy need to be improved. After the terrorist attacks in the United States, this technology has aroused widespread concern. As the most easily hidden recognition technology, face recognition has become one of the important means of international anti-terrorism and security prevention.

Face recognition technology and its application classification

Face recognition technology can be divided into two categories: military/police face recognition technology focusing on anti-terrorism security, investigation and evidence collection, and criminal investigation, and commercial face recognition technology focusing on company management and business confidentiality. The application of the first one is more complicated, and most face recognition technologies have high requirements. The second category, mainly concentrated in the fields of company management and business secrecy, is relatively less difficult. In the process of recognition, the computer uses relevant software to take relevant measures such as face image acquisition, face location, face recognition preprocessing, identity confirmation, identity search and so on, so as to identify people in the image.

This technology mainly adopts computer image processing technology and biostatistics principle. Using computer image processing technology to extract portrait feature points from video, and using biostatistics principle to establish a mathematical model, that is, face feature template. The constructed face feature template is analyzed with the face image of the tested person, and the similar values are given according to the analysis results. This value can be used to judge whether it is the same person. This technology has been widely used in many fields, such as security inspection, criminal investigation, anti-terrorism, corporate secrecy management and so on.

It is concluded from practice that face recognition technology is the best in reliability and accuracy compared with other biometric technologies, so it will become the first choice for all families.

Examples of application fields of face recognition;

1. The application of face recognition technology in police affairs.

In June 2004, 1 1 3 cases of supermarket poisoning were implanted into the face recognition system. From June 5438+065438+1October 12 to June 5438+05, 2004, seven supermarkets in Beijing received an anonymous phone call from a man. On the day of the incident, the police simulated the main characteristics and behavior trajectory of the suspect according to the clues. On June 6, 2004 165438+1October16, Yin Gang appeared in Hucanghu, Xicheng District, and was discovered by electronic eyes. After the suspect was confirmed by the face recognition system, he was held down by the investigators of the special police detachment of the Criminal Investigation Corps.

In August 2008, face recognition technology was used in the security work of Beijing Olympic Games. At the opening ceremony, tens of thousands of spectators entered through the National Stadium Bird's Nest 100 rapid identification gates. Until the end of the opening ceremony, the scene was orderly. The face recognition system can not only accurately and stably lock and analyze the face features to find suspicious people, but also has a fast analysis speed, thus avoiding the congestion in the security inspection channels of large-scale conferences in the past.

2. Face recognition system still plays an important role in the civil field.

In recent years, the trend of abducting and selling children has intensified, in order to protect the safety of urban children. Some kindergartens and primary schools have installed facial recognition systems to protect children's safety. These systems adopt face recognition and ic/id card (contactless smart card) dual authentication: each child registers relevant information, face image, ic/id card number, pick-up machine and pick-up machine face image when entering school. Every time I enter the park, I will report it by swiping my card. After school, I will swipe my card to authenticate my parents' faces. If the authentication fails, you will call the police and notify the administrator. If the authentication is successful, you will be released. Whether the recognition is successful or not, the system will record the image of the recognized person. Each pick-up and drop-off has detailed time and photos of the pick-up and drop-off personnel for enquiry. In addition, the system provides an extended function of SMS prompt, so that parents can see the photos taken during face recognition authentication on their mobile phones, thus monitoring the pick-up process! From an important source, the possibility of children being abducted is eliminated.

Face recognition: the development trend in the field of biometric technology

Face recognition technology is the most valuable technology among the professional technical indexes such as feasibility, stability and accuracy in biotechnology at present. It is also the most widely used and effective technology in all walks of life. In the next few years, it will surely surpass biotechnology such as fingerprint identification and become the overlord in the field of biometric technology.

Source: Jinke Haixin

Haixin Jinke Company specializes in biometric technology, and there is a lot of information on their website. You can go and have a look.