Main functions: A self-developed face recognition algorithm is adopted to achieve fast, convenient and secure self-verification of personal identity information and biometric information. At the same time, collect photos of on-site personnel through high-definition cameras, judge the similarity between the ID card chip photos read and the on-site photos of the holder, confirm whether they are themselves and record the identification results, and collect the corresponding ID card and photo information and color real-time monitoring photo information. The new second-generation natural light face recognition algorithm based on neural network deep learning has greatly improved the face recognition effect, solved the problems of illumination, posture, glasses, and small area occlusion, and has the face feature self-learning function, which can effectively solve the problem of slow change of face over time. Deep learning can be carried out based on faces with different illumination, viewpoint, age, identity and expression, and the face information successfully verified on the platform can be automatically established in the database as a template for subsequent verification. Support Windows, Linux, Android and IOS and other platforms, face detection, face recognition, gender, age, expression recognition, distance detection, posture detection, living detection, face synthesis and deformation, a variety of animal recognition, technology is constantly updated to adapt to more complex environments and applications. The recognition rate is as high as 99%, and the pass rate is 98.3%.

Comparison process: intelligent face detection: accurately locate the face position and size in the image, and detect the effective image; Intelligent verification (human-witness comparison) : The feature data of the facial image is extracted and compared with the feature data in the ID card photo, and the matching result is output through the threshold setting. Fingerprint verification module is optional, multiple verification, more secure; Application: Used in hotel check-in, Internet cafe registration, security check, logistics, education, visitor management, community access management, telecommunications real-name management, financial real-name management, government agencies real-name management and other major industries. The algorithm is cloud-based comparison and front-end embedded offline comparison, applicable to various platform docking and terminal equipment.