Nanocrystalline material detection method and terminal
A technology of nanocrystalline materials and detection methods, which is applied in image data processing, instruments, character and pattern recognition, etc., can solve problems such as low efficiency, bulging on the surface of finished products, hidden safety hazards of wireless charging products, etc., and achieve the effect of improving efficiency
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Embodiment 1
[0075] Please refer to figure 1 , Embodiment 1 of the present invention is:
[0076] A method for detecting nanocrystalline materials, comprising the steps of:
[0077] S1. Obtain the moving speed of the nanocrystalline material to be detected;
[0078] S2. Determine the frequency of photographing the nanocrystalline material to be detected according to the moving speed;
[0079] S3. Send the frequency to the detection camera;
[0080] In an optional implementation, by setting sensors and other methods to obtain the movement speed of the nanocrystalline material every preset time period, the detection cameras will use the same frequency to shoot and collect detection images during the preset time period, reducing Calculation amount; specifically, the obtained motion speed can also be used as the speed threshold to judge whether an overspeed alarm is received within the preset time period, and if so, re-execute S1; ensure that each part of the nanocrystalline material can pa...
Embodiment 2
[0096] A method for detecting nanocrystalline materials, the difference from Embodiment 1 is:
[0097] The defective product template described in S5 includes a defective product feature library;
[0098] The defective product feature library includes multiple preset defective product types and defective product image features corresponding to each defective product type, wherein the defective product type and the defective product image features can be obtained by neural network training defective product images;
[0099] The judging whether the similarity between the image feature and the defective product template exceeds the similarity preset value includes:
[0100] Judging whether there is a target defective product type in the defective product feature library, the similarity between the defective product image feature corresponding to the target defective product type and the image feature exceeds the similarity preset value, and if so, obtain the target Target defect...
Embodiment 3
[0107] A method for detecting nanocrystalline materials, the difference from Embodiment 1 is:
[0108] Before S2 also included:
[0109] Obtain the effective detection range of the detection camera;
[0110] The determining the frequency of photographing the nanocrystalline material to be detected according to the moving speed is specifically:
[0111] Determine the frequency of photographing the nanocrystalline material to be detected according to the effective detection range and the moving speed, specifically: determine the first time when the nanocrystalline material to be detected passes through the effective detection range according to the effective detection range and moving speed, the first time One time is the maximum interval for the detection camera to capture images, and the first time is subtracted from the preset floating value to obtain the second time, which is used as the interval time for the detection camera to capture images, and the shooting frequency is...
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