Face Recognition Technology in Security Industry

Face Recognition Technology in Security Industry With the ever-increasing renewal of science and technology, human innovation in investigations and evidence collection is progressing by leaps and bounds. As a face recognition technology based on investigation and evidence collection, the application in various fields is also very extensive and successful. So what is face recognition technology? What is the use of it in the end? Today, we discuss the emerging technology of facial recognition.

The so-called face recognition technology, which is based on the facial features of a person, judges the input face image or video stream, and first determines whether there is a face. If there are human faces, the position, size, and position information of each major facial organ are further given for each face. Based on this information, the identity features contained in each human face are further extracted and compared with known faces to identify the identity of each face. 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 practical application, and their performance and accuracy need to be improved. After the terrorist attacks in the United States, this technique caused widespread concern. As the most easily used concealment recognition technology, face recognition has become one of the most important means of international anti-terrorism and security prevention.

Classification face recognition technology of face recognition 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 based on company management and commercial secrecy. Identification technology. During the recognition process, the computer uses relevant software to perform face-to-face image acquisition, face location, face recognition preprocessing, identity verification, and identity search for images in the video to identify people in the image. This technology mainly uses the computer image processing technology and the principle of biostatistics. It uses the computer image processing technology to extract the image feature points from the video, and uses the principle of biostatistics to analyze and establish a mathematical model, namely the face feature template. Using the face profile template that has been built and the face image of the person being tested for feature analysis, a similar value is given based on the results of the analysis. By this value, you can determine whether it is the same person. This technology has now been widely used in security inspections, criminal investigations, counter-terrorism, and corporate confidentiality management. Why do so many areas take face recognition methods for security protection.

From practice, we can conclude that face identification technology is superior to other biometric identification technologies in terms of reliability, accuracy, and other data. Therefore, it will become the first choice for everybody.

The face recognition system has also played a major role in the civil field. The trend of kidnapping for children has intensified over the years, in order to protect the safety of children in the city. Some kindergartens and elementary schools have installed facial recognition systems to protect children's safety. These systems use face recognition plus IC/ID card (contactless smart card) dual authentication: Each child registers when enrolled in school: data, faces, IC/ID card numbers, pick-up and drop-off, pick-up and drop-off faces. Each time when entering the park, it will be reported by credit card, swiping the card and sending the parent face authentication when picking up the school. If the authentication fails, the administrator will be notified by the police. If the authentication is successful, the photo will be released. Whether the recognition is successful or not, the system will record the image of the recognized person. Each transfer has detailed time and photos of pick-up and drop-off staff. In addition, the system provides an extension function of SMS prompts. Parents can see the photos taken by the face recognition authentication on the mobile phone so as to monitor the transfer process! One of the important sources has eliminated the possibility of children being abducted.

Face recognition technology is the highest value technology among biotechnologies in terms of feasibility, stability and accuracy. It is also the most widely used and best-performing technology in security protection in all walks of life. In the next few years, it will surely surpass fingerprints and other biotechnologies and become the overlord in the field of biometrics.

The application of face recognition technology in police use In November 2004, 13 main criminals in supermarket drug trafficking cases were planted on face recognition systems. From November 12 to 15, 2004, seven supermarkets in Beijing received an anonymous phone call from a man. On the day of the incident, the police used the clues to simulate the main characteristics and behavior of the criminal suspect. On November 16, 2004, when Yin Gang appeared in the Hucun Hut in Xicheng District, he was discovered by the electronic eye. After the suspect was identified by the face recognition system, he was captured by the investigators of the Special Investigation Team of the Criminal Investigation Team.

In August 2008, face recognition technology was used for security of the Beijing Olympics. At the opening ceremony, tens of thousands of spectators were quickly authenticated by more than 100 face recognition systems at National Stadium's Bird's Nest. Until the opening ceremony ended, the site was in order. The face recognition system not only accurately and facetly analyzes face features to identify suspicious individuals, but also has fast analysis speed and avoids the congestion of security channels during large conferences.

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