CN114441542A - Control method based on visual detection - Google Patents
Control method based on visual detection Download PDFInfo
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- CN114441542A CN114441542A CN202210105270.3A CN202210105270A CN114441542A CN 114441542 A CN114441542 A CN 114441542A CN 202210105270 A CN202210105270 A CN 202210105270A CN 114441542 A CN114441542 A CN 114441542A
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- 238000001514 detection method Methods 0.000 title claims abstract description 71
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000000007 visual effect Effects 0.000 title claims abstract description 11
- 238000012216 screening Methods 0.000 claims abstract description 22
- 238000013500 data storage Methods 0.000 claims abstract description 11
- 230000002950 deficient Effects 0.000 claims abstract description 11
- 238000007726 management method Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000011179 visual inspection Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 description 7
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000008451 emotion Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
Abstract
The invention discloses a control method based on visual detection, which comprises the steps of firstly, placing a battery to be detected on a transportation module, transporting the battery to a battery pole piece detection module, and detecting a battery pole piece; transmitting the data to a battery outer surface detection module to detect the outer surface of the battery; the image acquisition module transmits images from the battery pole piece detection module and the battery outer surface detection module to the image processing module, the images are transmitted to the processor after being processed by the image processing module, the processor compares the obtained images with standard images, and the comparison result is transmitted to the controller; the controller stores the comparison data into the data storage module on one hand, and transmits the comparison data to the battery screening module on the other hand, and the battery screening module screens the battery according to the comparison result; the battery screening module sends qualified batteries into the finished product collecting module, and sends unqualified batteries into the defective product collecting module. The invention is convenient for control and visual detection of the battery.
Description
Technical Field
The invention relates to the technical field of control methods of visual detection, in particular to a control method based on visual detection.
Background
New surface defects are extrinsic defects that appear where there is a "difference" from the normal product surface form. Such "differences" are often visible to the human eye, and therefore, the traditional detection method for surface defects of products is a manual detection method. The manual detection result is influenced by subjective factors such as emotion and thinking of people, so that the detection result has great unreliability, the nonstandard detection result is not beneficial to controlling the product quality, and a plurality of unstable factors are brought. The labor intensity is high, and the detection cost is high; the detection result and the defect form are not beneficial to recording and storing and information management. Because of the above-mentioned shortcomings of manual inspection, a more advanced method for surface defect inspection is needed. In recent years, with the rapid development of electronic technology and computer technology, the software and hardware technology of machine vision is rapidly developed, and an optimal scheme is provided for online detection of surface defects of products. The machine is used for replacing human eyes to detect the surface defects, so that the problem that the efficiency and the precision of manual product detection are not high is solved, and the production efficiency and the automation degree are greatly improved.
Therefore, a control method based on visual detection is provided, which is convenient for detecting the pole piece and the outer surface of the battery.
Disclosure of Invention
In order to achieve the purpose, the invention provides the following technical scheme: a control method based on visual detection comprises a transportation module, a battery pole piece detection module, a first dimming module, a battery outer surface detection module, a second dimming module, a battery screening module, a finished product collection module, a defective product collection module, an image acquisition module, an image processing module, a processor, a controller, a data storage module and a background management module; the control method of the visual detection comprises the following steps:
the method comprises the following steps: firstly, a battery to be detected is placed on a transport module, the transport module is controlled to transport the battery to a battery pole piece detection module, dimming is carried out by starting a dimming module I, a battery pole piece is detected, and an acquired image is transmitted to an image acquisition module;
step two: transferring the battery detected by the battery pole piece detection module to a battery outer surface detection module, controlling a second dimming module to dim light, detecting the outer surface of the battery, and transferring the acquired image to an image acquisition module;
step three: the image acquisition module transmits images from the battery pole piece detection module and the battery outer surface detection module to the image processing module, the images are transmitted to the processor after being processed by the image processing module, the processor compares the obtained images with standard images, and the comparison result is transmitted to the controller;
step four: the controller stores the comparison data into the data storage module on one hand, and transmits the comparison data to the battery screening module on the other hand, and the battery screening module screens the battery according to the comparison result;
step five: the battery screening module sends qualified batteries into the finished product collecting module, and sends unqualified batteries into the defective product collecting module.
Further, the transmission module is connected with the battery pole piece detection module, the battery pole piece detection module is respectively connected with the dimming module I and the battery outer surface detection module, the battery outer surface detection module is respectively connected with the dimming module II and the battery screening module, the battery screening module is respectively connected with the finished product collection module and the defective product collection module, the battery pole piece detection module and the battery outer surface detection module are respectively connected with the image acquisition module, the image acquisition module is connected with the image processing module, the image processing module is connected with the processor, the processor is connected with the controller, and the controller is respectively connected with the data storage module and the background management module.
Furthermore, qualified battery standards are preset in the processor, and unqualified batteries are screened out by comparing the qualified battery standards with collected battery images.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, through the matching among the transportation module, the battery pole piece detection module, the dimming module I, the battery outer surface detection module, the dimming module II, the battery screening module, the finished product collection module, the defective product collection module, the image acquisition module, the image processing module, the processor, the controller, the data storage module and the background management module, the comprehensive detection of the battery is facilitated while the control is facilitated, and the detection efficiency is improved compared with the manual detection.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of the steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and all other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any creative efforts belong to the protection scope of the present invention.
As shown in fig. 1, the present invention provides an embodiment: a vision-based detection system comprises a transportation module, a battery pole piece detection module, a first dimming module, a battery outer surface detection module, a second dimming module, a battery screening module, a finished product collection module, a defective product collection module, an image acquisition module, an image processing module, a processor, a controller, a data storage module and a background management module, wherein the transmission module is connected with the battery pole piece detection module, the battery pole piece detection module is respectively connected with the first dimming module and the battery outer surface detection module, the battery outer surface detection module is respectively connected with the second dimming module and the battery screening module, the battery screening module is respectively connected with the finished product collection module and the defective product collection module, the battery pole piece detection module and the battery outer surface detection module are also respectively connected with the image acquisition module, and the image acquisition module is connected with the image processing module, the image processing module is connected with the processor, the processor is connected with the controller, and the controller is respectively connected with the data storage module and the background management module.
Specifically, as shown in fig. 2, the control method for visual inspection includes the steps of:
the method comprises the following steps: firstly, a battery to be detected is placed on a transportation module, the transportation module is controlled to transport the battery to a battery pole piece detection module, dimming is carried out by starting a dimming module I, the detection is prevented from being influenced when the external environment, particularly the illumination environment, changes, the battery pole piece is detected, and the acquired image is transmitted to an image acquisition module;
step two: the battery detected by the battery pole piece detection module is transmitted to the battery outer surface detection module, and meanwhile, the dimming module II is controlled to dim light, so that the detection is prevented from being influenced when the external environment, particularly the illumination environment, changes, the battery outer surface is detected, and the acquired image is transmitted to the image acquisition module;
step three: the image acquisition module transmits images from the battery pole piece detection module and the battery outer surface detection module to the image processing module, the images are transmitted to the processor after being processed by the image processing module, qualified battery standards are preset in the processor, the qualified battery standards are compared with the collected battery images, and comparison results are transmitted to the controller;
step four: the controller stores the comparison data into the data storage module on one hand, and transmits the comparison data to the battery screening module on the other hand, and the battery screening module screens the battery according to the comparison result;
step five: the battery screening module sends qualified batteries into the finished product collecting module, and sends unqualified batteries into the defective product collecting module.
Claims (3)
1. A control method based on visual detection is characterized by comprising a transportation module, a battery pole piece detection module, a dimming module I, a battery outer surface detection module, a dimming module II, a battery screening module, a finished product collection module, a defective product collection module, an image acquisition module, an image processing module, a processor, a controller, a data storage module and a background management module; the control method of the visual detection comprises the following steps:
the method comprises the following steps: firstly, a battery to be detected is placed on a transport module, the transport module is controlled to transport the battery to a battery pole piece detection module, dimming is carried out by starting a dimming module I, a battery pole piece is detected, and an acquired image is transmitted to an image acquisition module;
step two: transferring the battery detected by the battery pole piece detection module to a battery outer surface detection module, controlling a second dimming module to dim light, detecting the outer surface of the battery, and transferring the acquired image to an image acquisition module;
step three: the image acquisition module transmits images from the battery pole piece detection module and the battery outer surface detection module to the image processing module, the images are transmitted to the processor after being processed by the image processing module, the processor compares the obtained images with standard images, and the comparison result is transmitted to the controller;
step four: the controller stores the comparison data into the data storage module on one hand, and transmits the comparison data to the battery screening module on the other hand, and the battery screening module screens the battery according to the comparison result;
step five: the battery screening module sends qualified batteries into the finished product collecting module, and sends unqualified batteries into the defective product collecting module.
2. The control method based on visual inspection as claimed in claim 1, wherein: the transmission module is connected with a battery pole piece detection module, the battery pole piece detection module is respectively connected with a dimming module I and a battery outer surface detection module, the battery outer surface detection module is respectively connected with a dimming module II and a battery screening module, the battery screening module is respectively connected with a finished product collection module and a defective product collection module, the battery pole piece detection module and the battery outer surface detection module are respectively connected with an image acquisition module, the image acquisition module is connected with an image processing module, the image processing module is connected with a processor, the processor is connected with a controller, and the controller is respectively connected with a data storage module and a background management module.
3. The control method based on visual inspection as claimed in claim 1, wherein: qualified battery standards are preset in the processor, and unqualified batteries are screened out by comparing the qualified battery standards with collected battery images.
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| CN202210105270.3A CN114441542A (en) | 2022-01-28 | 2022-01-28 | Control method based on visual detection |
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| CN202210105270.3A CN114441542A (en) | 2022-01-28 | 2022-01-28 | Control method based on visual detection |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103841726A (en) * | 2014-03-06 | 2014-06-04 | 河南科技大学 | Luminance real-time adjusting device of light source in pole piece surface defect detection and adjusting method thereof |
| CN109557089A (en) * | 2017-09-27 | 2019-04-02 | 南京敏光视觉智能科技有限公司 | Full-automatic lithium battery pole piece detection system |
| CN109870462A (en) * | 2019-04-01 | 2019-06-11 | 常州金中源智能装备有限公司 | A kind of battery on-line measuring device |
| CN111398287A (en) * | 2019-11-29 | 2020-07-10 | 合肥国轩高科动力能源有限公司 | Battery pole piece scratch detection system and detection method |
| CN111650210A (en) * | 2020-06-11 | 2020-09-11 | 深圳市信宇人科技股份有限公司 | Burr detection method and detection system for high-speed high-precision lithium ion battery pole piece |
| CN213543477U (en) * | 2020-08-31 | 2021-06-25 | 中国科学院合肥物质科学研究院 | Power battery pole piece coating uniformity online metering test system |
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2022
- 2022-01-28 CN CN202210105270.3A patent/CN114441542A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103841726A (en) * | 2014-03-06 | 2014-06-04 | 河南科技大学 | Luminance real-time adjusting device of light source in pole piece surface defect detection and adjusting method thereof |
| CN109557089A (en) * | 2017-09-27 | 2019-04-02 | 南京敏光视觉智能科技有限公司 | Full-automatic lithium battery pole piece detection system |
| CN109870462A (en) * | 2019-04-01 | 2019-06-11 | 常州金中源智能装备有限公司 | A kind of battery on-line measuring device |
| CN111398287A (en) * | 2019-11-29 | 2020-07-10 | 合肥国轩高科动力能源有限公司 | Battery pole piece scratch detection system and detection method |
| CN111650210A (en) * | 2020-06-11 | 2020-09-11 | 深圳市信宇人科技股份有限公司 | Burr detection method and detection system for high-speed high-precision lithium ion battery pole piece |
| CN213543477U (en) * | 2020-08-31 | 2021-06-25 | 中国科学院合肥物质科学研究院 | Power battery pole piece coating uniformity online metering test system |
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