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How is Face recognition technology used in smart door locks?
Face recognition technology used in smart door locks. The appearance design of the changeable face is very unstable, and people can create many small expressions according to the changes of the face, and the visual effect images of the face are also very
Sep 5th,2022
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Fundamental
It combines electronic computer image processing technology and microbial statistics principle in one, and uses electronic computer image processing technology to obtain the feature points of portrait pictures from video, and uses biological The basic principles of statistics are analyzed to create mathematical analysis models, ie facial feature templates. Use the completed facial feature template and the subject's face to carry out a status analysis, and obtain a similar value based on the analysis results. According to this value, it can be determined whether it is the same person.
Advantages
As a new biometric identification technology (Biometrics), face recognition technology has unique advantages in application level compared with iris recognition technology, fingerprint recognition scanner, palm scanner and other technologies:
It is easy to use and highly accepted by users. Face recognition technology uses a universal surveillance camera as a device for identifying information and content, and uses a touch method to conduct the entire process of identification without the identification of the target.
Visible highlights that the application of face recognition technology is based on the image of the person's face, and the face is undoubtedly the most visual information feature that the human eye can distinguish. It is convenient for manpower determination and financial auditing. In line with the regularity of human cognitive ability.
High identification accuracy and faster speed Compared with other biometric technologies, the identification accuracy of face recognition technology is at a high level, and the misrecognition rate and rejection rate are low.
It is not easy to counterfeit. In the application place with high safety factor, the face recognition technology stipulates that the identification target must come to the identification site, and others cannot fake it. The unique vitality discrimination capability of face recognition technology ensures that others cannot fool the recognition technology with dynamic photos, dolls, and wax museums. It is difficult to guarantee by biometric identification technologies such as fingerprint recognition. For example, the real identity of a reasonably legitimate user can be impersonated by the severed finger of a reasonably legitimate user, making the identification technology difficult to detect.
Practical machinery and equipment The machinery and equipment used in face recognition technology are general PCs, surveillance cameras and other basic machinery and equipment, because electronic computers, cable digital TV monitoring systems, etc. have already been widely used, so for most users The application of face recognition technology does not need to add a lot of professional equipment, which not only maintains the user's original project investment but also expands the role of the user's existing machinery and equipment, and meets the requirements of user safety protection.
The basic materials are easy to obtain, and the face recognition technology is based on face photos or instantly ingested facial images, so it is undoubtedly the easiest to obtain.
The cost is low, which is convenient for marketing, promotion and application. Because face recognition technology uses basic general-purpose machinery, the price is within the acceptable range of ordinary users. Compared with other biometric technology technologies, face recognition products have high characteristics. price comparison.
In short, face recognition technology is a biometric identification technology with high precision, easy application, high reliability, difficult to counterfeit, and high cost performance, and has a very broad sales market application prospect.
Defect
Face recognition is considered to be one of the most difficult research topics in the biometric identification industry and even the artificial intelligence technology industry. The difficulty of face recognition is mainly caused by the characteristics of the face as a biological feature.
The similarity is not the same. The difference between individuals is not big. The structure of all the faces is similar, and even the structure and appearance of the facial organs are very similar. Such features are good for using faces for precise localization, but bad for using faces to distinguish people from individuals.
The appearance design of the changeable face is very unstable, and people can create many small expressions according to the changes of the face, and the visual effect images of the face are also very far apart from different viewing angles. In addition, face recognition is also affected by sunlight. Exposure standards (such as day and night, indoor and outdoor, etc.), many coverings on the face (such as protective masks, sunglasses, hair, beard, etc.), age and other factors.
In face recognition, the first type of changes should be enlarged as a norm for distinguishing individuals, while the second type of changes should be eliminated because they can mean the same individual. Generally, the first type of change is called inter-class change, and the second type of change is called intra-class change. For faces, intra-class variation typically exceeds inter-class variation, making it increasingly difficult to use inter-class variation to distinguish individuals under conditions affected by intra-class variation.
