Static face recognition vs dynamic face recognition
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Face recognition is a biometric recognition technology based on human facial feature information for identification. As a new and fast-developing technology, many people do not have a clear understanding and understanding of this technology. For example, what kinds of face recognition are available, how far face recognition has developed, what types of face recognition are used in practical applications, etc. Today, we mainly bring you to understand static face recognition and dynamic face recognition. The difference.
What is static face recognition?
Cooperative face recognition can be called static face recognition. It means that people identify within a specific area or range, which means that the requirements for angle, distance and position will be higher. The feature of static face recognition is that the user capacity is small, which is suitable for the use of attendance in some small companies. Because it is static, the price is relatively cheap. The graphics recognition rate is higher, reaching more than 95%. Generally, it can be applied to scenes such as face attendance, face access control, face recognition gate, and human identity verification.
What is dynamic face recognition?
Completely non-inductive face recognition can be called dynamic face recognition. It means no limit, as long as it appears in the range, it can be automatically identified no matter where it is. That is to say, people walk in the natural form, the camera will capture and collect information, and issue corresponding instructions for dynamic face recognition. Face recognition technology has fast recognition speed, high dynamic recognition accuracy and large user capacity. Generally applicable to scenes such as face control and personnel warning.
After 40 years of development, face recognition has reached a certain level of maturity in technology. Compared with other biometric technologies, face recognition has unique technical advantages in terms of practicality. Whether it is dynamic face recognition or static face recognition, we can not ignore its role. Today, face recognition systems are widely used in schools, construction sites, communities, airports, banks, security, hotels, subways and other important industries and fields.