Process step correctness automatic detection method and system
An automatic detection and correctness technology, applied in character and pattern recognition, data processing applications, instruments, etc., can solve problems such as high cost and inability to detect process steps in real time, and achieve the effect of reducing labor costs and alleviating high costs.
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Embodiment 1
[0021] figure 1 It is a flow chart of an automatic detection method for the correctness of process steps provided according to an embodiment of the present invention, and the method is applied to a server. Such as figure 1 As shown, the method specifically includes the following steps:
[0022] Step S102, perform semantic segmentation operation on the image to be detected based on the method of deep learning to obtain the target category of each pixel in the image to be detected; the image to be detected is an image frame in a video including the execution process of the process steps. Optionally, the pixel's target class includes any of the following: human body, work area, and background.
[0023] Optionally, the video of the execution process of the process steps is acquired through a dynamic image recording device. For example, video information of the process in which workers are performing process steps in a factory can be obtained through a monitor.
[0024] Optiona...
Embodiment 2
[0048] figure 2 It is a schematic diagram of an automatic detection system for process step correctness provided according to an embodiment of the present invention, and the system is applied to a server. Such as figure 2 As shown, the system includes: a semantic segmentation module 10 , a first determination module 20 , a recognition module 30 , a second determination module 40 and a judgment module 50 .
[0049] Specifically, the semantic segmentation module 10 is used to perform semantic segmentation operation on the image to be detected based on the method of deep learning, to obtain the target category of each pixel in the image to be detected; the image to be detected is an image frame in a video containing the process step execution process .
[0050] The first determining module 20 is configured to determine the human body region and the working region in the image to be detected based on the target category.
[0051] The identification module 30 is configured to ...
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