Image processing and detection of discontinuities in battery cells
US-2023251212-A1 · Aug 10, 2023 · US
US12067710B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12067710-B2 |
| Application number | US-202318296995-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 7, 2023 |
| Priority date | Aug 30, 2022 |
| Publication date | Aug 20, 2024 |
| Grant date | Aug 20, 2024 |
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A spot-checking method for a visual inspection system includes obtaining a plurality of to-be-inspected images, inspecting the plurality of to-be-inspected images to obtain defect types and/or parameters of a target object in the plurality of to-be-inspected images, and confirming availability of the visual inspection system based on the defect types and/or the parameters.
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What is claimed is: 1. A spot-checking method for a visual inspection system, comprising: obtaining a plurality of to-be-inspected images; inspecting the plurality of to-be-inspected images to obtain defect types and/or parameters of a target object in the plurality of to-be-inspected images, comprising: determining a size of the target object in each of the plurality of to-be-inspected images by calculating a number of pixels included in the target object in the each of the plurality of to-be-inspected images; and confirming availability of the visual inspection system based on the defect types and/or the parameters, comprising: confirming the availability of the visual inspection system by comparing the number of pixels included in the target object in each of the plurality of to-be-inspected images with a threshold. 2. The spot-checking method according to claim 1 , wherein obtaining the plurality of to-be-inspected images comprises: obtaining the plurality of to-be-inspected images from a specimen image library, wherein a defect type of each image in the specimen image library is known. 3. The spot-checking method according to claim 1 , wherein inspecting the plurality of to-be-inspected images to obtain defect types and/or the parameters of the target object in the plurality of to-be-inspected images further comprises: performing defect detection on the plurality of to-be-inspected images by using a defect detection algorithm in the visual inspection system, to obtain the defect types of the target object in the plurality of to-be-inspected images. 4. The spot-checking method according to claim 1 , wherein confirming the availability of the visual inspection system based on the defect types and/or the parameters further comprises: confirming, in response to the defect type of the target object in each of the plurality of to-be-inspected images being identical to a known defect type, that a defect detection algorithm of the visual inspection system is available. 5. The spot-checking method according to claim 1 , wherein obtaining the plurality of to-be-inspected images comprises: running a standard target object inspection process; and obtaining images of the target object captured by the visual inspection system as the plurality of to-be-inspected images. 6. The spot-checking method according to claim 1 , wherein the target object includes a battery cell or a sheet film. 7. The spot-checking method according to claim 1 , wherein inspecting the plurality of to-be-inspected images to obtain the defect types and/or the parameters of the target object in the plurality of to-be-inspected images further comprises: performing grayscale measurement on each of the plurality of to-be-inspected images through the visual inspection system, to obtain grayscale of the target object in each of the plurality of to-be-inspected images. 8. The spot-checking method according to claim 1 , wherein confirming the availability of the visual inspection system based on the defect types and/or the parameters further comprises: confirming, in response to the size of the target object in each of the plurality of to-be-inspected images being consistent with the threshold, that hardware of the visual inspection system is available. 9. The spot-checking method according to claim 8 , wherein the hardware comprises a plurality of cameras and a plurality of light sources. 10. The spot-checking method according to claim 9 , further comprising, before obtaining the plurality of to-be-inspected images: receiving a selection instruction of a camera; and setting the threshold of the target object corresponding to the camera. 11. The spot-checking method according to claim 10 , further comprising: setting a number of times that the camera is to be spot-checked. 12. A non-transitory computer-readable storage medium storing a computer program that, when executed on a computer, causes the computer to perform the spot-checking method according to claim 1 . 13. A spot-checking apparatus for a visual inspection system, comprising: an obtaining unit, configured to obtain a plurality of to-be-inspected images; and a processing unit, configured to: inspect the plurality of to-be-inspected images to obtain defect types and/or parameters of a target object in the plurality of to-be-inspected images, comprising: determining a size of the target object in each of the plurality of to-be-inspected images by calculating a number of pixels included in the target object in the each of the plurality of to-be-inspected images; and confirm availability of the visual inspection system based on the defect types and/or the parameters, comprising: confirming the availability of the visual inspection system by comparing the number of pixels included in the target object in each of the plurality of to-be-inspected images with a threshold. 14. The spot-checking apparatus according to claim 13 , wherein the obtaining unit is further configured to obtain the plurality of to-be-inspected images from a specimen image library, wherein a defect type of each image in the specimen image library is known. 15. The spot-checking apparatus according to claim 13 , wherein the processing unit is further configured to: perform defect detection on the plurality of to-be-inspected images by using a defect detection algorithm in the visual inspection system, to obtain the defect types of the target object in the plurality of to-be-inspected images. 16. The spot-checking apparatus according to claim 13 , wherein the processing unit is further configured to: confirm, in response to the defect type of the target object in each of the plurality of to-be-inspected images being identical to a known defect type, that a defect detection algorithm of the visual inspection system is available. 17. The spot-checking apparatus according to claim 13 , wherein: the processing unit is further configured to run a standard target object inspection process; and the obtaining unit is further configured to obtain images of the target object captured by the visual inspection system as the plurality of to-be-inspected images. 18. The spot-checking apparatus according to claim 13 , wherein the processing unit is further configured to: perform grayscale measurement on each of the plurality of to-be-inspected images through the visual inspection system, to obtain grayscale of the target object in each of the plurality of to-be-inspected images. 19. A spot-checking apparatus for a visual inspection system, comprising: a memory storing a program; and a processor configured to call the program from the memory and run the program to: obtain a plurality of to-be-inspected images; inspect the plurality of to-be-inspected images to obtain defect types and/or parameters of a target object in the plurality of to-be-inspected images, comprising: determining a size of the target object in each of the plurality of to-be-inspected images by calculating a number of pixels included in the target object in the each of the plurality of to-be-inspected images; and confirm availability of the visual inspection system based on the defect types and/or the parameters, comprising: confirming the availability of the visual inspection system by comparing the number of pixels included in the target object in each of the plurality of to-be-inspected images with a threshold. 20. The spot-checking method according to claim 1 , wherein the threshold comprises a number of pixels included in t
Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges (G01N21/8806 and G01N21/93 - G01N21/95692 take precedence; optical measurement of dimensions G01B11/00; optical scanning G02B26/10; image transformation G06T3/00; computerised image enhancement G06T5/00; image processing per se for flaw detection G06T7/0002) · CPC title
based on image processing techniques · CPC title
Industrial image inspection · CPC title
Industrial image inspection · CPC title
using an image reference approach · CPC title
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