An intelligent automatic detection device for removing the air outlet of an automobile air conditioner
An automobile air-conditioning and automatic detection technology, which is applied in the direction of measuring devices, instruments, sorting, etc., can solve the problems of low intelligence and waste of human resources, improve the accuracy of results, avoid invalid detection, and save manual translation The effect of surface manipulation
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Embodiment 1
[0042] see Figure 9 As shown, the partition 4 divides the inner space of the detection box 3 into two detection areas. The area on the left side of the partition 4 is the detection area A, and the area on the right side of the partition 4 is the detection area B. The weighing detection Mechanism 9 divides conveying trough 5 into two detection areas, the area located on the left side of weighing detection mechanism 9 is detection area C, and the area located on the right side of weighing detection mechanism 9 is detection area D;
[0043] When the pull sheet positioned on the left is transported on the first transport roller 6, the first detection mechanism detects the surface of the pull sheet in the detection area A, and the camera 17 of the first detection mechanism takes an image of the surface of the pull sheet and will capture the captured image. The image is sent to the surface detection module for detection and analysis. If the detection result is that the surface is q...
Embodiment 2
[0049] see Figure 10 As shown, the inner wall of the conveying trough 5 is provided with a processor, and the processor is communicatively connected with a surface detection module, a weight detection module, a storage module and a controller, and the output end of the controller is connected to the second electric push rod 904 and the third electric push rod 1502, the drive motor and the input end of the drive motor are electrically connected;
[0050] The specific process of the surface detection module performing a surface detection analysis on the strip includes the following steps:
[0051] Step S1: enlarge the image taken by the camera 17 into a pixel grid image, mark the obtained pixel grid image as a comparison image, mark the pixel grid of the comparison image as i, i=1, 2, ..., n, and perform Image processing obtains the gray value of the pixel grid of the comparison image and marks it as HDi;
[0052] Step S2: Obtain the grayscale threshold HDmax through the stor...
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