Is life detection the same as face recognition? What’s the difference?
Face recognition has gradually entered our life. In many application scenarios, brought us many convenient and safe experiences in our life and work. 예를 들어, during the epidemic, the use of face recognition technology can avoid the risk of cross contact. When we understand face recognition, it is easy to confuse the definition of live detection and face recognition. Today, Xiaojin will share the specific differences between recognition and live detection:
01. 얼굴 인식
a kind of biometric identification technology based on human facial feature information. A series of related technologies, usually called portrait recognition and face recognition, are used to capture images or video streams containing human faces with cameras, and automatically detect and track human faces in the images, so as to perform face recognition on the detected faces.
02. Live detection
Live detection is a method to determine the real physiological characteristics of an object in some authentication scenarios. In face recognition applications, currently, live detection generally uses a combination of actions such as blinking, opening mouth, shaking head, and nodding to verify whether the user operates as a real live person by using face key point location and face tracking technologies.
To sum up, in the application scenarios with high demand for security factors, such as financial authentication, it is not suitable to use face recognition alone to verify users, but it will be used together with the API interface of live detection. This is mainly because there are verification loopholes in recognition, which can not effectively distinguish photos, 비디오, silicone masks, simulation models and other deceptive behaviors.
게다가, the low cost of imitation is very easy for many users to impersonate other people’s information The act of tampering with false information leads to failure to effectively resist fraud. After using live detection, it can avoid the self defects of recognition, effectively identify photos, 비디오, 마스크, simulation models and other deceptive behaviors, so as to help users identify various fraudulent behaviors and protect the interests of users.
In terms of product principle, both recognition and live detection are completed by camera module. As the key technologies of recognition become more and more popular, the safety factor has become the focus of recognition manufacturers and end customers. For recognition manufacturers, it is critical to choose the appropriate and safe camera module supplier.
Shenzhen Jinshikang Science and Technology Co., 주식회사. has been deeply engaged in the field of camera modules for many years. It specializes in the research and development of camera modules, and has invested a lot in the development and research of recognition technology, camera monitoring and other fields. It has a perfect standard business consultation process, allowing you to achieve smooth and satisfactory whole process from consultation to cooperation, and ensuring product quality and after-sales clearance. Welcome face recognition manufacturers and enterprise friends who need camera modules to consult, exchange and cooperate.