High-scanning efficiency anti-jitter intelligent face recognition device

Abstract

The invention relates to a high-scanning efficiency anti-jitter intelligent face recognition device. The device comprises a fixing block and a recognition mechanism; the recognition mechanism comprises a scanning mechanism, a fixing mechanism and a detection mechanism; the scanning mechanism comprises a driving assembly and two scanning assemblies, wherein the scanning assembly comprises a first bevel gear, a screw rod, a bearing, a lifting block, a first motor, a first linking rod, a second linking rod, a slip ring, a slide rail and a camera; and the fixing mechanism comprises two fixing assemblies, wherein the fixing assembly comprises an air pump, an air cylinder, a piston, a supporting rod and a fixing rod. According to the high-scanning efficiency anti-jitter intelligent face recognition device of the invention, the head of a person to be detected is fixed through the fixing mechanism, so that the rotation or movement of the head of the user during a scanning process can be prevented, and therefore, the smooth proceeding of scanning can be ensured; and the two scanning assemblies in the scanning assembly operate simultaneously, and the moving path of the slip rings is shortened, and therefore, the scanning efficiency of the cameras can be improved, and the rapid scanning and face recognition of the device can be realized.

Description

technical field [0001] The invention relates to the field of face recognition equipment, in particular to an anti-shake intelligent face recognition device with high scanning efficiency. Background technique [0002] Face recognition is a kind of biometric identification technology based on human facial feature information. Use a camera or camera to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform a series of face-related technologies on the detected faces, usually also called portrait recognition, face recognition. [0003] In the existing face recognition device, a single camera is usually used close to the face to collect images for the equipment to extract feature data for analysis and comparison. Although the camera collects images quickly, not only the images are easily distorted during the collection process, but also missing. The detailed features of the face, therefore, people scan the face b...

AI Technical Summary

Problems solved by technology

[0003] In the existing face recognition devices, a single camera is usually used to collect images close to the face for the device to extract feature data for analysis and comparison. Although the camera collects images at a fast speed, not only the image is easily distorted during the collection process, but it will also be missed later. The detailed features of the face, therefore, people use the way of moving the camera to scan the face. The existing scanning method usually uses the camera to move around the face to scan and shoot, and then move up and down after completing one rotation. This scanning method Due to the large movement range of the camera, it is easy to prolong the scanning time and reduce the scanning efficiency. Not only that, but the position of the face needs to be kept fixed during the scanning process. Once the head of the recognition person shakes, turns or moves, it will make the The distance between the camera and the face changes, causing the recognition device to fail to scan

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