Analyze the advantages of face recognition technology

The face recognition technology is a technology for recognizing a person's facial feature information, and belongs to the field of biometrics. With the advancement of technology and the increasing demand for applications, the pace of face recognition in the Chinese market is increasing. This is mainly based on the technical advantages of advanced recognition technology. What are the advantages of face recognition technology?

First, the advantages of face recognition technology

(1) Naturalness

Face recognition technology confirms the identity by observing people's natural facial biometrics. The identification method is very convenient. Users do not need to carry any documents or perform other operations. Just stand at the device for ten seconds. Can complete the scan identification, no risk of others posing. Fingerprint recognition technology is obtained through the acquisition of fingerprint information. It is not a natural advantage, it is easy to use identity fraud, and it is easy to maintain information security.

(2) Imperceptibility

Face recognition technology can use visible light face image recognition, or multi-source face image recognition technology that combines infrared and visible light. As long as there is a specific light source, face recognition can complete the recognition without being perceived, and it will not be offensive or trapped. In the field of criminal investigation, it is especially suitable for the tracking and pursuit of criminal suspects.

(3) Non-contact

Fingerprint recognition and other methods need to access the electronic pressure sensor to obtain fingerprints, while face recognition technology does not require direct contact between the human face and the device, and can simultaneously meet the continuous recognition and sorting of face image information by multiple people. For people of consciousness, there is no possibility of discomfort and infectious diseases.

In general, face recognition technology has natural attributes that are not easily detectable and do not require direct contact. This has created a large market demand for face recognition technology, and the application field has increased. Face recognition technology has been widely used in various fields such as residential security, e-passport, financial management, criminal investigation, information security, and attendance.

(4) Non-intrusive

The non-contact nature of the face also brings a non-intrusive experience to the collector. On the one hand, the collection of faces does not need to be coordinated by the collector or staff intervention. On the other hand, the human face is an exposed biometric, and the recognition of the face is more easily accepted by the public.

(5) Perfect hardware foundation

The demand for hardware for face recognition is mainly reflected in the camera. The currently popular smart phones are equipped with high-pixel cameras. At the same time, with the gradual improvement of the domestic video surveillance system, the density of high-definition cameras in cities increases, so The fingerprint recognition device, etc., has obvious advantages in hardware foundation for face recognition.

(6) Quick and convenient collection and good expandability

The low requirements for infrastructure and the non-contact collection methods have significantly shortened the information collection time and provided a convenient collection method. At the same time, it also brings obvious advantages for the expansion of the face recognition background system. Based on the existing video surveillance system, it can add various functions such as access control and face search in the background system.

In the complex environment, after the face recognition accuracy problem is solved, it is expected that face recognition is expected to quickly replace fingerprint recognition as the mainstream identification technology for large-scale application in the market.

(7) The recognition accuracy is high and the speed is fast.

Compared with other biometric technologies, the recognition accuracy of face recognition technology is at a high level, and the misrecognition rate and rejection rate are low.

(8) It is not easy to counterfeit.

In applications with high security requirements, face recognition technology requires that the recognition object must be in person to identify the scene, and it is difficult for others to copy it. The ability to discriminate on the face recognition technology ensures that others cannot deceive the recognition system with inactive photos, puppets, and wax figures. This is difficult to achieve with biometrics such as fingerprints. For example, using a broken finger of a legitimate user can counterfeit the identity of a legitimate user and make the recognition system undetectable.

(9) The cost is low and it is easy to promote and use.

Since the face recognition technology uses conventional general-purpose equipment, the price is within the range acceptable to the general user, and the face recognition product has a high performance-price ratio compared with other biometric technologies.

Second, face recognition is applied to the advantages of the field of entry and exit

The face recognition system is applied to the entrance and exit area, and through direct face recognition, there is no need to manually check the passenger documents. It mainly includes the following advantages:

(1) Improve the speed of traffic. In the past, it was almost five seconds per person through manual inspection. After using the machine, it can be done for one second.

(2) Improve recognition efficiency. The ability of the human eye to identify people with cosmetic, obese or altered hair styles is reduced relative to the machine, and it is not even accurate and quick to distinguish whether the documents are consistent with the person.

(3) Reducing staff pressure. Face recognition is in the field of entrance and exit, especially when the passenger flow index increases and the staff manually checks the load seriously, which can effectively reduce the pressure on the staff and improve work efficiency.

(4) Improve the security level. Compare photos and faces in real time to quickly determine if you are and whether you are at large.