Face Recognition Technology How to Apply Access Control Attendance

In 2008, the opening ceremony of the Beijing Olympic Games officially used the face recognition system of China’s independent intellectual property rights;

From April 1, 2010, the International Civil Aviation Organization (ICAO) has confirmed that its 118 member countries and regions must use machine-readable passports, face recognition technology is the first recognition mode, which has become an international standard;

In 2011, Facebook introduced face recognition technology for the first time. Landing personnel can activate pages without authentication.

On March 6, 2012, the Jiangsu Provincial Office and the Nanjing University of Science and Technology signed a contract to build a “Key Laboratory of Social Public Security” to carry out research projects in the “face recognition” technology-related field.

At present, British airports have also begun to activate face recognition technology to strengthen security inspections...

Face recognition technology has been aroused in China since the 21st century. With the gradual recognition and application of various industries and the continuous improvement of the technology, it has been increasingly applied to access control and attendance applications. For government, *, banking, social welfare protection, e-commerce, security defense and other fields.

The face recognition technology is based on the face feature of the human being to input the face image or video stream. First, it is determined whether there is a human face. If there is a human face, the position, size, and main face of each face are further given. The location information of the organ; and based on this information, further extract the identity features contained in each face, and compare it with the known face to identify the identity of each face. Generalized face recognition includes a series of related technologies for constructing face recognition systems, such as face image collection, face location, face recognition preprocessing, identity verification, and identity search; narrow sense face recognition specifically refers to people. The face of identity or identity search technology or system.

Face recognition has three major advantages: First, its natural nature, the so-called natural nature means that the identification method uses the same biological characteristics as the human (including other organisms) for individual identification, is to distinguish and confirm identity through observation and comparison of human faces. Natural recognition also includes speech recognition and body shape recognition. Fingerprint recognition and iris recognition are not natural because humans or other organisms cannot distinguish individuals through such biological characteristics. The second is non-mandatory, the recognized facial image information can be actively acquired without being detected by the measured individual. Face recognition uses visible light to obtain facial image information, and unlike fingerprint recognition or iris recognition requires the use of electronic pressure sensors to collect fingerprints Or, using infrared to capture iris images, these special acquisition methods are easily noticeable and can be deceptively deceptive. The third advantage is non-contact. Compared with other biometric technologies, face recognition is non-contact, and users do not need to directly contact the device. At the same time, they can satisfy multiple face classification and judgment under practical application scenarios. And identification.

The current environment for access control and time and attendance is a multi-light source face recognition technology, which can realize face recognition under a variety of auxiliary light sources that are completely harmless to the human body, supporting PC (Windows/Linux) and ARM/DSP. (Linux, etc.) System environment, the current algorithm has been able to guarantee the recognition rate, recognition speed, misrecognition rate and rejection rate and other indicators of excellence, to ensure short-range face detection capture.

Currently, in China, the most typical application of face recognition technology is through the face recognition to solve the access control of the prison system: the prison system has always been to ensure foolproof access control, but the prison is a miniaturized society, including the prison room, life Districts, labor workshops, medical clinics, teaching buildings, confinement rooms, duty rooms, restaurants, bathrooms, playgrounds, and other areas, no matter what precautions are put in place, with the criminals' ability to commit crimes and the continual enhancement of the modus operandi, simply using swipes, fingerprints Prison access control systems such as identification methods have great hidden dangers and loopholes. Prisons have to invest a lot of manpower and material resources to strengthen access control management, including guard patrols, guard posts, and video surveillance. Adding face recognition access control solutions to existing prison management systems, such as card access control and fingerprint access control, can effectively control the identification of incoming and outgoing personnel and prevent the possibility of escape. The face recognition access control device is used as a front-end intelligent identification device, and has the functions of non-contact and automatic face opening and the like, thereby effectively preventing the loss, fraudulent use, and theft of the access control card, realizing the exclusive use of a dedicated person, preventing others from fraudulent use, and the like. At the same time, the face recognition access control system has a living body detection function, which can effectively prevent fingerprints from being stolen. It can eliminate the common security risks in the current prison access control system and make greater efforts to avoid the occurrence of the escape.

When consumers purchase face recognition products, what kind of attention do they have? We can select products from the following six aspects: First, detect whether the face recognition products are tested under the backlight conditions. Secondly, pay attention to whether the establishment of the template of the product database meets the requirements. The more ideal the number of database templates is, the better. Of course, you only need to meet the required capacity. Third, detect the minimum pixel requirements of the product, such as the eyes to reach 100 pixels is quite good. Fourth, whether the minimum angle requirements for product acquisition images can achieve the desired results. Fifth, the impact of glasses on the recognition rate should also be included in the scope of purchase, such as the collection of pictures when the binocular will not be blocked by the glasses, if the collector is wearing a thick frame, there is the possibility of affecting the recognition error . Sixth, determine whether the product has a living body detection function, whether it will affect the recognition error of the product if the eyes open or close and the movement of the eyeball.