the advantage of face recognition lies in its naturalness and undetectability. The so-called naturalness means that the identification method is the same as the biological characteristics used by human beings (even other creatures) in individual identification. For example, in face recognition, human beings distinguish and confirm their identities by observing and comparing faces. In addition, there are natural recognitions such as iris recognition, voice recognition and body shape recognition, while fingerprint recognition and iris recognition are not natural, because human beings or other creatures do not distinguish individuals by such biological characteristics. The feature of being undetected is also very important for an identification method, which will make the identification method not offensive and not easy to be deceived because it is not easy to attract people's attention. Face recognition has the characteristics of this aspect. It completely uses visible light to obtain face image information, which is different from fingerprint recognition or iris recognition. It needs to use electronic pressure sensors to collect fingerprints or infrared rays to collect iris images. These special collection methods are easy to be detected by people and are more likely to be disguised and deceived. (For more products related to face recognition access control system, please consult HAMA Wisdom)
From the research point of view, face recognition is considered to be one of the most difficult research topics in the field of biometric identification and even artificial intelligence. The difficulty of face recognition is mainly caused by the characteristics of face as a biological feature. Similarity Face Similarity There is little difference between different individuals, all faces are similar in structure, and even the structure and appearance of face organs are similar. This feature is favorable for locating by using faces, but unfavorable for distinguishing human individuals by using faces. The shape of the changeable face is very unstable, and people can produce many expressions through the changes of the face, and the visual images of the face are also very different from different observation angles. In addition, face recognition is also affected by many factors such as lighting conditions (such as day and night, indoors and outdoors, etc.), many covers of the face (such as masks, sunglasses, hair, beard, etc.), age and so on. In face recognition, the first kind of changes should be enlarged as the standard to distinguish individuals, while the second kind of changes should be eliminated because they can represent the same individual. Usually, the first kind of change is called inter-class difference, while the second kind of change is called intra-class difference. For face, intra-class variation is often greater than inter-class variation, which makes it extremely difficult to distinguish individuals by using inter-class variation under the interference of intra-class variation.
It can be said that the face recognition technology is facing enormous challenges at present, and the privacy issues that are often mentioned by people are also challenges that need to be overcome, but I believe this writing is also a necessary process in the development of technology, which can be overcome perfectly in the end. Among them, it requires the concerted efforts of all of us. We Hanma Wisdom will also do our part, hoping to witness the arrival of a future life full of science and technology and wisdom with you!