Image acquisition device and data analysis method used in production line
A technology for image acquisition and data analysis, applied in image communication, instruments, televisions, etc., can solve the problems of low production efficiency of the production line, single application environment, etc., and achieve the effect of high work efficiency
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Embodiment 1
[0057] see figure 1 , the present embodiment provides an image acquisition device used in a production line, the production line is provided with several stations, the image acquisition device includes a processor and several 3D cameras, each station is provided with a 3D camera , the processor includes an acquisition module, a processing module, an input module, a storage module and an identification module.
[0058] The 3D camera is used to acquire several consecutive images of the user at a workstation, and the several consecutive images can monitor the operation process of the user, because the consecutive images have time sequence information.
[0059]The images can be obtained from 3D video recordings, and each frame of images in the 3D video recordings is a 3D image, and several consecutive images can be obtained by intercepting the 3D images in the video recordings in sequence.
[0060] The acquiring module is used to acquire the motion model of the user according to ...
Embodiment 2
[0083] This embodiment is basically the same as Embodiment 1, the only difference is:
[0084] The processor also includes a storage module, a comparison module and a placement module.
[0085] For several consecutive images acquired by each station, the acquisition module is used to acquire the motion model of the user on the station according to the several consecutive images;
[0086] The comparison module is used to select a motion model of a target station according to preset rules from the motion models obtained by all stations;
[0087] The storage module is used to store the motion model of the target station as a preset model.
[0088] The preset rule is: obtain the time between two target 3D images in each motion model, and obtain the motion model with the shortest time as the motion model of the target station.
[0089] The preset rule can be executed by the comparison module, and the comparison module is used to obtain the time between two target 3D images in eac...
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