Face recognition is a kind of biometric recognition technology based on human facial feature information. As a new and fast-developing technology, many people do not have a clear understanding and understanding of this technology. For example, what types of face recognition are there, to what extent is face recognition currently developed, what are the classifications of face recognition in practical applications, etc. Today, we mainly take you to understand static face recognition and dynamic face recognition The difference.
In hotels, subways, communities, office buildings, banks, airports, and other places, we can all see the use of facial recognition technology, and the phenomenon of "brushing face" is not surprising. However, recently, Northwest University of Political Science and Law was surprised to see a magical scene. The students actually lined up for the morning reading of "swiping their face" to check in. "Reading for five minutes in the morning, clocking in for two hours", "successfully brushing the face to complete is comparable Grab train tickets during Spring Festival"! what on earth is this kind of happenings?
It turns out that colleges and universities have adopted face recognition to sign in. Due to the limitations of static face recognition, the speed is also delayed. Some students said that for thousands of students, only 4 check-in functions can be used, and every morning reading time is wasted in queuing to brush their faces. Therefore, after the first day of trial, colleges and universities had to give up sign-in, and morning reading and morning exercises continued to operate in accordance with the original management method.
The school’s move aroused heated discussions among the public. The introduction of face recognition sign-in was originally a good thing, but why did you “do bad things with good intentions?” In fact, we may not have figured out dynamic face recognition and static face recognition. the difference.
What is static face recognition?
Static face recognition is to recognize within a specific area or range, that is to say, the requirements for the angle, distance, and position of recognition will be relatively high. The characteristic of static face recognition lies in the small user capacity, which is more suitable for the attendance of some small companies. Because it is static, the price is relatively cheap. The pattern recognition rate is high, reaching more than 95%.
What is dynamic face recognition?
Dynamic face recognition does not limit the range, as long as you appear in the range, no matter where you are, you can automatically recognize it. That is to say, when a person walks past in a natural form, the camera will capture and collect information, and issue corresponding instructions to perform dynamic face recognition.
Compared with static face recognition, it is obvious that dynamic face recognition has a better experience, because it is dynamic, the product price is relatively high, and the user capacity is relatively large. Dynamic face recognition is fast, real-time recognition in 20 milliseconds, more than 10 frames per second. Save the local computer for better privacy.
Obviously, the Northwest University of Political Science and Law uses a static face recognition attendance machine. Due to the large number of students in the school, the static face recognition attendance machine is obviously not applicable. The dynamic face recognition system of Qigu Technology is different. It is dynamic + large capacity + outdoor + customized. Face recognition technology has fast recognition speed, high dynamic recognition accuracy, large user capacity, and more importantly. low cost! It is definitely the best choice for school attendance, access control and monitoring.
After about 40 years of development, face recognition technology has reached a certain degree of maturity. Compared with other biometric recognition technologies, face recognition has unique technical advantages in terms of practicality. Whether it is dynamic face recognition or static face recognition, we cannot ignore its usefulness. Nowadays, the application range of face recognition system is quite extensive, and it can be used in many important industries and fields such as public security, airport, bank, security, hotel, subway, etc., as well as civilian markets such as smart access control, door lock, and time attendance.
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