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This article mainly introduces the example analysis of OCR in vivo detection, which has a certain reference value. Interested friends can refer to it. I hope you will gain a lot after reading this article. Let's take a look at it.

Live detection technology is the main means to prevent system attacks, and its value lies in judging the identity of operating users and resisting cheating attacks such as photos, videos, molds and so on. In vivo recognition technology includes static living detection and dynamic living detection. In vivo detection refers to judging whether the static image is a real customer behavior or a second remake, and users do not need to identify it through actions such as spring rain or shaking head and blinking eyes. It is generally used in scenarios where the defense against attacks is not high. Dynamic living detection refers to the main development direction of the current living detection technology by instructing users to do it, that is, comparing the real user with the ID card image and confirming the identity on the spot. At present, the combination of person and witness is widely used, from real-name authentication of Internet system to banks, remote securities, social security personnel identity verification and other aspects of personal privacy information.

Binocular camera (desktop) features:

Fast: fast detection time

Accuracy: high accuracy of face comparison

Reliable: high accuracy in recognition of live faces and photos and videos

Silent living detection: the whole process of human face detection does not need the cooperation of user action, and has a high degree of humanization.

Software and hardware integration: to provide users with a full range of solutions such as face detection algorithms and related binocular cameras, there is no technical adaptation and compatibility of software and hardware between different manufacturers.

In fact, long-term enterprises have brought living recognition technology into the field of face recognition, and the combination of face recognition and living detection is standard. Application industries include: customs, tourism, hotels, education, self-service machines, work clocking in, airports, Internet cafes, high-speed rail, gates, public security and many other industries.

Thank you for reading this article carefully. I hope the article "sample Analysis of OCR Live Detection" shared by the editor will be helpful to you. At the same time, I also hope that you will support us and pay attention to the industry information channel. More related knowledge is waiting for you to learn!

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