Face recognition effort public security investigation

The public security organs have been using the human body's fingerprints, palm lines, sounds, handwritings, visages, facial features, and DNA to detect crimes. Since these characteristics have the uniqueness and stability that are inherent to the human body and cannot be duplicated, these are used by the public. The unique physiological characteristics can accurately identify each person's identity and therefore have important evidence value. Everyone's face is exposed in the society. Compared with other human biological characteristics, it is the easiest to obtain. Through the use of face recognition technology to conduct video reconnaissance of public security video surveillance systems in all corners of the society, public security agencies have obtained a large number of clues and thus cracked. There are many major cases, such as the case of Zhou Kehua that shocked the country. With the increase in the application needs of the public security industry, face recognition applications are gradually expanding.

Face recognition advantage application

Face recognition refers specifically to computer technology that uses identity analysis to compare facial features. Face recognition is a popular field of computer technology research. It can detect face brightness, automatically adjust dynamic exposure compensation, face tracking detection, and automatically adjust image magnification. It belongs to biometric recognition technology and it is for organisms ( Generally refers to people's own biological characteristics to distinguish between individual organisms.

Advantages of Face Recognition Using Face Recognition The advantages of face recognition are its natural nature and the characteristics that are not perceived by the individual being measured. The so-called natural nature means that the identification method is the same as the biological characteristics used by individuals (or even other organisms) for individual identification. For example, in face recognition, humans also distinguish and confirm identities by observing and comparing faces. In addition, there are natural recognitions such as speech recognition and body shape recognition. Fingerprint recognition, iris recognition, etc. are not natural, because humans or others Creatures do not distinguish individuals through such biological characteristics.

Undetected features are also important for a method of identification, which makes the method of recognition unobjectionable and difficult to deceive because it is not easily noticed by people. Face recognition has this feature. It uses visible light to obtain facial image information. Unlike fingerprint recognition or iris recognition, it requires the use of electronic pressure sensors to collect fingerprints, or use infrared to acquire iris images. These special acquisition methods are easy. Perceived, it is more likely to be deceived by camouflage.

Face recognition effort public security investigation

Staying thousands of miles away, you lock people in the vast sea with a remote monitoring system. When you return home, the access control system will automatically open the door for you. This will save you the trouble of opening the door with a key. The mid-range, and face recognition technology for video surveillance is exactly where its essence lies.

Su Xiangxi's series of gun robbery and murder cases successfully broke through, and video surveillance played a key role in it. Zhou Kehua made 4 crimes in Changsha, and the clues to the case were recorded by video surveillance. Calculated with a movie of 500 megabytes, the number of videos required to screen criminal suspects is equivalent to 830,000 movies. This is an important role played by cameras all over the streets. Among them, the massive amount of video watching is huge. The police used the "face and space data retrieval" system to use the computer technology to reduce the dimension of face images based on the characteristics of the face recognition technology, and detect people ranked by similarity from big to small in the low dimensional feature database. Face images provide a reference for solving crimes. The technology compresses the most important task of video reconnaissance - viewing the information volume of the video hundreds of times, effectively solving the difficulty of the face image retrieval, such as high complexity, time-consuming and large storage capacity. This saves valuable time and helps the police detect cases quickly.

With the rapid development of face recognition technology, combined with advanced face recognition algorithms, the retrieval system can accurately and quickly recognize human faces, has a strong environmental adaptability, and has an intelligent self-learning function that can automatically update human faces The template is not affected by changes in expression, posture, hairstyle, accessories, etc., thereby assisting the police in completing the investigation.