Office workers face a problem when commuting to and from get off work every day, that is, clocking in. The way of clocking in is also changing with the progress of time and the progress of science and technology. Like the earliest, paper card punching requires manual filling. It has been developed into a semi-automatic metal chip card time attendance machine, then developed to the second generation of barcode time attendance machine, developed to a magnetic card type time attendance machine and then developed to a biometric identification time attendance machine. , Where biological identity includes fingerprints and human faces. Nowadays, I believe that fingerprint punch-in is the most commonly seen by everyone, and some people have seen face-recognition punch-in, but it has not yet been widely popularized.
As a method of identification, fingerprints have the characteristics of uniqueness and accuracy, but fingerprints also have a lot of negative information. For example, if the finger is peeled off, it will often fail to punch the card; in addition, the fingerprint sleeve can punch the card on its behalf. There are still many questions, I will not list them all here. As a brand-new recognition technology, face recognition technology has been able to recognize twins, bringing exciting news to the market. Nowadays, face recognition technology has made great progress, and it is no longer limited to check-in and attendance. To truly have an in-depth understanding of face recognition technology, we have to start with the security industry.
In recent years, with the continuous development of the security industry, intelligence is a major development trend in the development of the unsecured industry. However, the final function after face recognition is intelligent analysis. However, the current domestic face recognition products are not completely intelligent, and human cooperation is required. Face recognition systems that are still in the exploratory stage, whether in product performance or The application in various industries has not yet reached a relatively mature stage. People in the industry believe that the true success of face recognition technology is not simply the success of products, but that these technologies are widely adopted by other industries and integrated into business systems in all walks of life.
Scientific analysis of what is face recognition technology
The so-called face recognition technology is to judge the input face image or video stream based on the facial features of the person, and first judge whether it has a face. If there are human faces, the position and size of each face and the position information of each main facial organ are further given. Based on this information, the identity features contained in each face are further extracted and compared with known faces to identify the identity of each face. The research on 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 have a certain distance from practicality, and their performance and accuracy need to be improved. After the United States suffered a terrorist attack, this technology has attracted widespread attention. As the most easily concealed recognition technology, face recognition has become one of the most important means of international anti-terrorism and security precautions.
Classification of face recognition technology and its application
Face recognition technology is divided into two categories: military/police face recognition technology based on anti-terrorism security, investigation and evidence collection, and criminal investigation, and commercial face recognition technology based on company management and commercial confidentiality. The first type of application is more complicated, and the requirements for the most face recognition technology are very high. The second category is mainly concentrated in areas such as company management and business secrecy. Relatively speaking, the technical difficulty is much lower. In the recognition process, the computer uses relevant software to perform face image collection, face positioning, face recognition preprocessing, identity confirmation, and identity search on the images in the video to identify people in the image. And this technology mainly uses computer image processing technology and the principle of biostatistics. The computer image processing technology is used to extract the feature points of portraits from the video, and the principles of biostatistics are used to analyze and establish a mathematical model, that is, a facial feature template. Use the built face feature template and the face of the subject to perform feature analysis, and give a similar value based on the analysis result. This value can be used to determine whether it is the same person. This technology has now been widely used in many fields such as security inspection, criminal investigation, anti-terrorism, and company confidentiality management.
It is concluded from practice that, compared with other biometric technologies, face recognition technology is the best in terms of reliability, accuracy or other data. Therefore, it will become the first choice of each company.
Examples of face recognition application areas:
1. Application of face recognition technology in police
In November 2004, the main perpetrators of 13 drug poisoning cases in supermarkets were planted on the face recognition system. From November 12 to 15, 2004, seven supermarkets in Beijing received an anonymous call from a man. On the day of the incident, the police simulated the main characteristics and behavior trajectory of the suspect based on the clues. On November 16, 2004, when Yin Gang appeared in Hucang Hutong in Xicheng District, he was discovered by an electronic eye. After confirming the suspect through a facial recognition system, he was held by an investigator from the Special Police Detachment of the Criminal Investigation Corps.
In August 2008, facial recognition technology was used for the security of the Beijing Olympics. At the opening ceremony, tens of thousands of spectators entered the stadium through the rapid identity verification gate of more than 100 facial recognition systems at the National Stadium Bird’s Nest. Until the end of the opening ceremony, the scene was in order. The face recognition system not only accurately and steadily locks and analyzes facial features to find suspicious persons, but also has a fast analysis speed, which avoids the congestion of security check channels during large meetings in the past.
2. The face recognition system is still showing its skills in the civilian field
In recent years, the trend of child trafficking has intensified, in order to protect the safety of children in cities. Some kindergartens and elementary schools have installed facial recognition systems to protect children's safety. These systems use face recognition plus IC/ID card (non-contact smart card) dual authentication: each child is registered when enrolling in school: information, face profile, IC/ID card number, pick-up person, and pick-up person's face profile. Every time you enter the kindergarten, you swipe your card to report, and you swipe your card at school and perform facial authentication of the picking-up parents. If the authentication fails, the administrator will be notified and the administrator will be notified if the authentication is successful. Regardless of whether the recognition is successful or not, the system will record the image of the recognized person. For each pick-up, there are detailed time and photos of the pick-up and drop-off personnel for inquiries. In addition, the system provides an extended function of SMS notifications. Parents can see the photos taken during face recognition authentication on their mobile phones, so as to monitor the pick-up and drop-off process! From one of the important sources, the possibility of children being abducted was eliminated.
Face recognition: the development trend in the field of biometric technology
Face recognition technology is currently the technology with the highest numerical value among professional technical indicators such as feasibility, stability and accuracy in biotechnology. It is also the most widely used and most effective technology in security protection in all walks of life. In the next few years, it will surpass biotechnology such as fingerprint recognition and become the overlord in the field of biometric technology.
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