Face information collection method based on camera face recognition
A face information and face recognition technology, applied in the field of face information collection, can solve the problems of uneven distribution of hardware overhead and large network overhead, and achieve the effect of improving the monitoring effect.
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Embodiment 1
[0048] The camera records the video of the detection area and stores it in the memory, and the ARM processor transmits the segmented video data to the FPGA computing chip through the BT1120 standard video data interface.
[0049] The FPGA computing chip caches the segmented video data in the memory of the FPGA computing chip and analyzes the segmented data frame by frame, picks up the brightness distribution of the face area in the image, captures the face image and records the face information. The FPGA computing chip uses the currently recorded face information to compare with the face information recorded in the last few frames to determine whether the face is consistent with the previously recorded face. If the face is judged to be a new face, a new face is assigned. Face ID, if the face is judged to be the original face, the currently recorded face information is associated with the face ID corresponding to the original face.
[0050] The FPGA computing chip gives the qua...
Embodiment 2
[0058] On the basis of Embodiment 1, when the FPGA computing chip cannot detect any human face, the ARM processor traces back to when the most recent standard human face photo was taken, and the adjusted exposure parameters are used to set the camera.
[0059] This solution is convenient to set the exposure state of the camera to the most reasonable state when there is no face in the detection area, and it is convenient to adjust to the appropriate exposure position more quickly after the face is detected again.
Embodiment 3
[0061] On the basis of Embodiment 1, the ARM controller judges the face ID after receiving the face image information. When the face ID has been captured and stored, the quality parameters of the corresponding stored face photo and the front face area and the quality parameters and face area contained in the current face image information, if the quality parameter is higher or the frontal face area is larger, the face photo is captured again and the original face photo is replaced.
[0062] If the stored face photo is a frontal face, only the quality parameters of the face photo are compared with the quality parameters of the current face image. If the quality parameter of the current face image is higher than the quality parameter of the stored face photo, a new face photo is captured and stored to replace the old face photo.
[0063] On average, photos with a larger frontal area have correspondingly higher quality parameters of the face image, so this solution is suitable fo...
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