CN113758426B - Cloth width determining method and device, electronic equipment and readable storage medium - Google Patents
Cloth width determining method and device, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN113758426B CN113758426B CN202110944795.1A CN202110944795A CN113758426B CN 113758426 B CN113758426 B CN 113758426B CN 202110944795 A CN202110944795 A CN 202110944795A CN 113758426 B CN113758426 B CN 113758426B
- Authority
- CN
- China
- Prior art keywords
- image data
- cloth
- determining
- detection
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000004744 fabric Substances 0.000 title claims abstract description 147
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000001514 detection method Methods 0.000 claims abstract description 84
- 230000007547 defect Effects 0.000 claims description 55
- 238000004891 communication Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 7
- 230000000737 periodic effect Effects 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 claims description 3
- 230000002950 deficient Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 238000003708 edge detection Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 238000013500 data storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Treatment Of Fiber Materials (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The embodiment of the application provides a cloth width determining method and device, electronic equipment and a readable storage medium, wherein the method comprises the following steps: image acquisition is carried out on the cloth through N image pick-up devices; wherein N is an integer greater than 0; determining N first image data acquired by the N image pick-up devices at the same moment; and accumulating the N cloth widths in the N first image data to obtain the cloth widths. The application solves the problem that the detection efficiency and accuracy of the breadth are low in the prior art in a mode of a sensor or a man-made mode.
Description
Technical Field
The present application relates to the field of cloth detection technologies, and in particular, to a method and apparatus for determining a cloth width, an electronic device, and a readable storage medium.
Background
In conventional industrial field applications, the measurement of the width of the cloth is often performed by means of sensors or by means of man-made means. However, the detection efficiency and accuracy of the breadth of the sensor are low in both the sensor and the artificial mode.
Disclosure of Invention
The embodiment of the application aims to provide a cloth width determining method and device, electronic equipment and a readable storage medium, so as to solve the problem that the width detection efficiency and accuracy are low in the prior art in a sensor or artificial mode. The specific technical scheme is as follows:
in a first aspect of the present application, there is provided a method for determining a width of a cloth, including: image acquisition is carried out on the cloth through N image pick-up devices; wherein N is an integer greater than 0; determining N first image data acquired by the N image pick-up devices at the same moment; and accumulating the N cloth widths in the N first image data to obtain the cloth widths.
In a second aspect of the present application, there is also provided a cloth width determining apparatus, including: the acquisition module is used for acquiring images of the cloth through the N camera devices; wherein N is an integer greater than 0; the determining module is used for determining N pieces of first image data acquired by the N image pick-up devices at the same moment; and the accumulation module is used for accumulating the N cloth widths in the N first image data to obtain the cloth widths.
In yet another aspect of the present application, there is also provided a computer readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the method of determining a width of a cloth as described in any one of the above.
In yet another aspect of the present application there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of determining the width of a cloth as described in any of the above.
In the application, the cloth can be subjected to image acquisition through N image pick-up devices, so that N first image data acquired by the N image pick-up devices at the same moment are determined, and N cloth widths in the N first image data are accumulated to obtain the cloth widths; therefore, the application can acquire images of the cloth through the N image pick-up devices, determine the width of the cloth from the image data, and the obtained width is more accurate than that of a manual or sensor, and the efficiency of detecting the width is higher, thereby solving the problem that the detection efficiency and accuracy of the width are lower in the prior art in a mode of the sensor or the manual mode.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a flow chart of a method for determining cloth width in an embodiment of the application;
FIG. 2 is a schematic diagram of a cloth width measuring device according to an embodiment of the present application;
FIG. 3 is a flow chart of a cloth width measuring method in an embodiment of the application;
FIG. 4 is a schematic structural view of a cloth width determining device according to an embodiment of the present application;
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.
The embodiment of the application provides a cloth width determining method, which comprises the following steps as shown in fig. 1:
102, performing image acquisition on cloth through N image pick-up devices; wherein N is an integer greater than 0;
It should be noted that, the image capturing device in the embodiment of the present application may be a camera or other devices with a camera.
104, Determining N pieces of first image data acquired by N image pick-up devices at the same moment;
and 106, accumulating the N cloth widths in the N first image data to obtain the cloth widths.
Through the steps 102 to 106, the cloth can be subjected to image acquisition through the N image pick-up devices, so that N first image data acquired by the N image pick-up devices at the same time are determined, and N cloth widths in the N first image data are accumulated to obtain the cloth widths; therefore, the application can acquire images of the cloth through the N image pick-up devices, determine the width of the cloth from the image data, and the obtained width is more accurate than that of a manual or sensor, and the efficiency of detecting the width is higher, thereby solving the problem that the detection efficiency and accuracy of the width are lower in the prior art in a mode of the sensor or the manual mode.
In an optional implementation manner of the embodiment of the present application, for the determining the N first image data acquired by the N image capturing devices at the same time in the step 104, the method may further include:
step 11, determining N pieces of third image data from N pieces of second image data acquired by N image pick-up devices, wherein the second image data comprises cloth areas and areas other than cloth; the third image data includes a cloth area;
For the non-cloth area in the step 11, that is, the edge area in the acquired image data, because the image acquired by the image capturing device is generally larger than the actual width of the cloth, the area that is not the cloth needs to be deleted from the image data, that is, the edge area of the cloth needs to be removed for accurate detection of the subsequent defect.
The non-cloth area (edge area) is generated because cloth shields the light source when the image pickup device collects the cloth image, and the relatively bright area in the collected image is an area which is not shielded by cloth, and is the non-cloth area (edge area).
And step 12, if the judgment result is yes, determining N pieces of first image data acquired at the same time from N pieces of third image data.
For the above steps 11 and 12, taking the image capturing device as a camera, and N is 3 as an example, that is, the camera 1, the camera 2, and the camera 3 perform image capturing on the cloth to obtain image data 1 (second image data), image data 2 (second image data), and image data 3 (second image data), respectively. Since the collected image is generally larger than the actual width of the cloth, the edge area of the cloth needs to be removed, the image data 1, the image data 2 and the image data 3 are respectively subjected to the edge removing processing to obtain the image data 4 (corresponding to the image data 1), the image data 5 (corresponding to the image data 2) and the image data 6 (corresponding to the image data 3). The image data 4, the image data 5 and the image data 6 each include a plurality of frames of image data, that is, image data acquired by the cameras 1, 2 and 3 at the same time is required to ensure that the obtained cloth width is accurate.
In an optional implementation manner of the embodiment of the present application, the determining, from the N third image data, the N first image data acquired at the same time in the foregoing manner referred to in step 12 may further include:
step 21, performing defect detection on the N pieces of third image data;
Step 22, determining N first image data acquired at the same time from the N third image data when detecting that the defects in the N third image data are not matched with the preset defects or detecting that the defects in the N third image data do not exist.
In the embodiment of the present application, the cloth defect detection is performed to determine whether a defect affecting the width calculation exists, and in a specific example, the defect may refer to a defect that the cloth has a fold, a breakage, a defect, etc. that affects the width of the cloth greatly, where the fold, the breakage, and the defect are only examples, and other defects that affect the width of the cloth greatly are also within the protection scope of the embodiment of the present application, and in particular, the preset defect may be set according to actual situations. That is, in the embodiment of the present application, the N first image data at the same time are image data that need not to have the preset defect, so that the width of the cloth that is finally obtained can be accurate.
In another optional implementation manner of the embodiment of the present application, the method for performing defect detection on N third image data related to the foregoing 21 may further include:
step 31, determining the breadth and the breadth length of cloth in the N third image numbers;
Step 32, determining whether the cloth has defects or not based on the breadth and the breadth length;
Step 33, classifying the defects in the case that the cloth has the defects.
For the steps 31 to 33, in an example, taking the image capturing device as a camera, and N is 3 as an example, that is, the camera 1, the camera 2, and the camera 3 perform image capturing on the cloth to obtain the widths and the lengths of the cloth in the 3 third image numbers, if the widths of the third image data at a certain moment and the widths of the image data at the next moments differ greatly, it is indicated that there is a defect in the cloth in the image data corresponding to the certain moment, and the defect may be determined by the user by himself or by the server after transmitting the data to the server. In addition, the purpose of classification is to determine which defects are defects having a large influence on the width comparison, the width cannot be determined for the image data corresponding to the defects, and some defects are defects having a small influence on the width or even no influence, such as a small hole in the cloth, a difference in the color of the cloth, and the like.
In an alternative implementation of the embodiment of the present application, the defect detection may be performed on the N third image data based on at least one of the following detection modes:
1) The first detection mode is continuous detection after receiving a detection instruction;
For the first detection mode, namely, the detection is continuously carried out after a detection instruction is received, the detection mode can determine the width of more areas of the cloth.
2) The second detection mode is to carry out periodic detection based on a preset period;
for the second detection mode, the cost of detection can be reduced through periodic detection, and meanwhile, the detected cloth width can be ensured to be more comprehensive.
3) The third detection mode is that the detection is carried out at the preset length of the cloth;
for the third detection mode, detection can be performed at the preset length of the cloth according to the requirement, namely, the detection can be performed according to the requirement.
4) And a fourth detection mode, wherein the fourth detection mode is to execute detection operation once immediately after receiving the detection instruction.
If only one detection is needed, the detection can be realized based on the fourth detection mode, multiple times of detection are not needed, the detection cost is saved, and the detection efficiency is improved.
The present application will be explained in connection with the following specific embodiments of the examples of the present application, which provide a cloth width measuring apparatus, as shown in fig. 2, comprising: a camera 202, a cloth edge detection module 204, a cloth defect detection module 206, a cloth width detection module 208, and a cloth effective width calculation module 210. Based on fig. 2, an embodiment of the present application provides a cloth width measurement method, as shown in fig. 3, including the steps of:
In step 301, the plurality of cameras 202 collect images of the cloth, and then send the collected images to the cloth edge detection module 204 for processing.
In step 302, the cloth edge detection module 204 determines whether all the collected images are valid cloth, and is responsible for calculating the area of the valid cloth, and then sends the image of the valid area and the length and width parameters of the valid area to the cloth defect detection module 206.
In step 303, the cloth defect detecting module 206 determines the received cloth image.
And judging whether defects exist or not, and classifying the defects. The module transmits the width and height of the effective cloth to the cloth effective width calculating module. The effective width of the cloth is recorded as: class_ wigth _valid_n.
In step 304, the cloth width detection module 208 sends a detection command to the cloth effective width calculation module 210 according to the parameters configured by the user.
Wherein, in the specific embodiment, the detection can be performed in the following ways: always detecting, timing detecting (detecting cloth width according to time period), cloth fixed length detecting (detecting cloth width starting at different lengths of cloth), immediately detecting (issuing a detection command, immediately detecting cloth width once).
In step 305, the cloth effective width calculation module 210 receives the detect cloth width command from the start detect cloth width module 208 and the effective cloth width and height, defect type information from the cloth defect detection module.
Step 306, after detecting the cloth width detection command, judging whether the cloth collected by the cameras is defective, if so, judging whether the defect type can affect the cloth width, and if not, executing step 307;
Step 307, starting to detect the effective width of the cloth for the pictures acquired at the same moment in the pictures acquired by the cameras. The cloth effective width calculation module 210 may accumulate all the received cloth effective widths, and the cloth_ wigth _valid_all=cloth_ wigth _valid_1+cloth_wingh_valid_2+, +cloth_ wigth _valid_n;
It should be noted that if the pictures acquired at the same time are not required to wait until the pictures are at the same time, then the detection of the effective width of the cloth is started. The loop_ wigth _valid_all refers to the effective width of the cloth; the clip_ wigth _valid_1 refers to the effective width of the image part acquired by the camera 1; the clip_ wigth _valid_2 refers to the effective width of the image portion acquired by the camera 2; class_ wigth _valid_N: the effective breadth of the image portion captured by camera N.
Through the steps 201 to 207, the cloth can be subjected to image acquisition through the cameras, the acquired image data is subjected to edge removal processing, finally, the widths of the plurality of pictures which are acquired at the same time and have no defects affecting the width of the cloth are determined to be accumulated, the width of the cloth is obtained, and compared with the manual operation or the sensor, the method is more accurate, and the efficiency of detecting the width is higher.
Corresponding to fig. 1, the embodiment of the application also provides a cloth width determining device, as shown in fig. 4, which comprises:
The collecting module 42 is used for collecting images of the cloth through the N image pick-up devices; wherein N is an integer greater than 0;
a determining module 44, configured to determine N first image data acquired by N image capturing devices at the same time;
And the accumulation module 46 is configured to accumulate the widths of the N pieces of cloth in the N pieces of first image data to obtain the widths of the pieces of cloth.
Optionally, the determining module 44 in the embodiment of the present application may further include: a first determining unit configured to determine N third image data from N second image data acquired by N image capturing devices, where the second image data includes a cloth area and a non-cloth area; the third image data includes a cloth area; and the second determining unit is used for determining N pieces of first image data acquired at the same moment from N pieces of third image data when the judging result is yes.
By the device provided by the embodiment of the application, the N pieces of cloth can be subjected to image acquisition through the N pieces of image pickup devices, N pieces of first image data acquired at the same moment by the N pieces of image pickup devices are further determined, and N pieces of cloth width in the N pieces of first image data are accumulated to obtain the cloth width; therefore, the application can acquire images of the cloth through the N image pick-up devices, determine the width of the cloth from the image data, and the obtained width is more accurate than that of a manual or sensor, and the efficiency of detecting the width is higher, thereby solving the problem that the detection efficiency and accuracy of the width are lower in the prior art in a mode of the sensor or the manual mode.
Optionally, the second determining unit in the embodiment of the present application includes: a detection subunit, configured to perform defect detection on the N third image data; and the determining subunit is used for determining N pieces of first image data acquired at the same time from the N pieces of third image data when detecting that the defects in the N pieces of third image data are not matched with the preset defects or detecting that the N pieces of third image data have no defects.
Optionally, the detection subunit in the embodiment of the present application includes: the first determining grandson unit is used for determining the breadth and the breadth length of cloth in the N third image numbers; a second determining grandson unit for determining whether the cloth has a defect based on the breadth and the breadth length; and the detection grandchild unit is used for classifying the defects when the cloth has the defects.
Optionally, in an embodiment of the present application, defect detection is performed on the N third image data based on at least one of the following detection methods: the first detection mode is continuous detection after receiving a detection instruction; the second detection mode is to carry out periodic detection based on a preset period; the third detection mode is that the detection is carried out at the preset length of the cloth; and a fourth detection mode, wherein the fourth detection mode is to execute detection operation once immediately after receiving the detection instruction.
The embodiment of the application also provides an electronic device, as shown in fig. 5, which comprises a processor 501, a communication interface 502, a memory 503 and a communication bus 504, wherein the processor 501, the communication interface 502 and the memory 503 complete communication with each other through the communication bus 504,
A memory 503 for storing a computer program;
The processor 501, when configured to execute the program stored in the memory 503, performs the following steps of the method in fig. 1, and the functions are similar, and will not be described herein.
The communication bus mentioned by the above terminal may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, abbreviated as PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated as EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
The communication interface is used for communication between the terminal and other devices.
The memory may include random access memory (Random Access Memory, RAM) or may include non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (Network Processor, abbreviated as NP), etc.; but may also be a digital signal processor (DIGITAL SIGNAL Processing, DSP), application Specific Integrated Circuit (ASIC), field-Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components.
In yet another embodiment of the present application, a computer readable storage medium is provided, in which instructions are stored, which when run on a computer, cause the computer to perform the method for determining a width of a cloth according to any of the above embodiments.
In a further embodiment of the present application, a computer program product comprising instructions which, when run on a computer, causes the computer to perform the method of determining the width of a piece of cloth according to any of the embodiments described above is also provided.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk Solid STATE DISK (SSD)), etc.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In this specification, each embodiment is described in a related manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application are included in the protection scope of the present application.
Claims (6)
1. A method for determining a width of a cloth, comprising:
Image acquisition is carried out on the cloth through N image pick-up devices; wherein N is an integer greater than 0;
determining N first image data acquired by the N image pick-up devices at the same moment;
the determining the N first image data acquired by the N image capturing devices at the same time includes:
determining N third image data from N second image data acquired by the N image pick-up devices, wherein the second image data comprises a cloth area and a non-cloth area; the third image data includes the cloth area;
Determining the N first image data acquired at the same moment from the N third image data;
wherein the determining the N first image data acquired at the same time from the N third image data includes:
performing defect detection on the N pieces of third image data;
Determining the N first image data acquired at the same time from the N third image data under the condition that the defects in the N third image data are not matched with preset defects or the defects in the N third image data are not detected;
And accumulating the N cloth widths in the N first image data to obtain the cloth widths.
2. The method of claim 1, wherein the performing defect detection on the N third image data includes:
determining the breadth and the breadth length of the cloth in the N third image numbers;
Determining whether the cloth is defective based on the width and the length;
In case the cloth has a defect, classifying the defect.
3. The method according to claim 1, wherein the defect detection is performed on the N third image data based on a detection scheme of at least one of:
The first detection mode is continuous detection after receiving a detection instruction;
the second detection mode is periodic detection based on a preset period;
a third detection mode, wherein the third detection mode is to detect at a preset length of the cloth;
And a fourth detection mode, wherein the fourth detection mode is to execute detection operation once immediately after receiving a detection instruction.
4. A cloth width determining apparatus, comprising:
the acquisition module is used for acquiring images of the cloth through the N camera devices; wherein N is an integer greater than 0;
The determining module is used for determining N pieces of first image data acquired by the N image pick-up devices at the same moment;
the accumulation module is used for accumulating the N cloth widths in the N first image data to obtain the cloth widths;
wherein the determining module comprises:
A first determining unit configured to determine N third image data from N second image data acquired by the N image capturing devices, where the second image data includes a cloth area and a non-cloth area; the third image data includes the cloth area;
a second determining unit configured to determine, from the N third image data, the N first image data acquired at the same time;
Wherein the second determining unit includes:
A detection subunit, configured to perform defect detection on the N third image data;
and the determining subunit is used for determining the N first image data acquired at the same time from the N third image data when detecting that the defects in the N third image data are not matched with preset defects or detecting that the defects in the N third image data do not exist.
5. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
A memory for storing a computer program;
A processor for carrying out the method steps of any one of claims 1-3 when executing a program stored on a memory.
6. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110944795.1A CN113758426B (en) | 2021-08-17 | 2021-08-17 | Cloth width determining method and device, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110944795.1A CN113758426B (en) | 2021-08-17 | 2021-08-17 | Cloth width determining method and device, electronic equipment and readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113758426A CN113758426A (en) | 2021-12-07 |
| CN113758426B true CN113758426B (en) | 2024-06-25 |
Family
ID=78790206
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110944795.1A Active CN113758426B (en) | 2021-08-17 | 2021-08-17 | Cloth width determining method and device, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113758426B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003042756A (en) * | 2001-07-27 | 2003-02-13 | Teijin Ltd | Wrinkle detecting method for film and manufacturing method for film using the same |
| CN109489566A (en) * | 2018-11-07 | 2019-03-19 | 广州超音速自动化科技股份有限公司 | Lithium battery diaphragm material cuts checking method for width, detection system and device |
| CN111862189A (en) * | 2020-07-07 | 2020-10-30 | 北京海益同展信息科技有限公司 | Body size information determination method, body size information determination device, electronic equipment and computer readable medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101198859B (en) * | 2005-06-21 | 2012-03-28 | 郡是株式会社 | Film inspection device and film inspection method |
| CN101221040B (en) * | 2007-01-11 | 2010-07-21 | 宝山钢铁股份有限公司 | Steel bar plate dimensional measurement method and device |
| JP4858574B2 (en) * | 2009-05-19 | 2012-01-18 | トヨタ自動車株式会社 | Object detection device |
| CN106706653A (en) * | 2017-01-12 | 2017-05-24 | 河北省自动化研究所 | High-speed wide board detection method |
| CN110223309B (en) * | 2019-05-20 | 2021-07-06 | 深圳新视智科技术有限公司 | Edge detection method, edge detection device, computer equipment and storage medium |
| CN111121643B (en) * | 2019-12-25 | 2022-01-04 | 中公高科养护科技股份有限公司 | Road width measuring method and system |
| CN111929327A (en) * | 2020-09-09 | 2020-11-13 | 深兰人工智能芯片研究院（江苏）有限公司 | Cloth defect detection method and device |
-
2021
- 2021-08-17 CN CN202110944795.1A patent/CN113758426B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003042756A (en) * | 2001-07-27 | 2003-02-13 | Teijin Ltd | Wrinkle detecting method for film and manufacturing method for film using the same |
| CN109489566A (en) * | 2018-11-07 | 2019-03-19 | 广州超音速自动化科技股份有限公司 | Lithium battery diaphragm material cuts checking method for width, detection system and device |
| CN111862189A (en) * | 2020-07-07 | 2020-10-30 | 北京海益同展信息科技有限公司 | Body size information determination method, body size information determination device, electronic equipment and computer readable medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113758426A (en) | 2021-12-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6121425B2 (en) | Measurement of belt wear by edge detection of raster images. | |
| CN111739175B (en) | Vehicle parking monitoring method and device | |
| CN112689100B (en) | Image detection method, device, equipment and storage medium | |
| CN108921840A (en) | Display screen peripheral circuit detection method, device, electronic equipment and storage medium | |
| CN111242943A (en) | Image processing method, image processing apparatus, image processing device, and storage medium | |
| JP6616906B1 (en) | Detection device and detection system for defective photographing data | |
| CN113673454A (en) | Remnant detection method, related device, and storage medium | |
| CN113758426B (en) | Cloth width determining method and device, electronic equipment and readable storage medium | |
| CN111832983A (en) | Detection method, device and system for asset entry information | |
| CN111079466A (en) | Vehicle identification method and device, electronic equipment and storage medium | |
| CN111681208B (en) | Missing part detection method, device, computer equipment and storage medium | |
| CN114723650A (en) | Wafer defect detection method and device, equipment and storage medium | |
| CN112149546B (en) | Information processing method, device, electronic equipment and storage medium | |
| CN111460198A (en) | Method and device for auditing picture timestamp | |
| US20230419529A1 (en) | Method and apparatus for acquiring master data of an object | |
| CN112422959A (en) | Lens pollution detection method, system, equipment and storage medium | |
| JP2021111928A (en) | Abnormality detection device and abnormality detection method | |
| JP5147536B2 (en) | Unauthorized vehicle photographing system and image processing apparatus | |
| CN106886800B (en) | Leakage current fault positioning device and method | |
| CN112699705B (en) | Information acquisition method, fault positioning method, device and electronic equipment | |
| CN107248160B (en) | Video monitoring image distortion detection method and system | |
| CN107730705B (en) | Method, device, equipment and storage medium for starting and stopping data and continuous data acquisition | |
| JP2012198680A (en) | Road condition recognition system | |
| US7218769B2 (en) | Image data management system and computer-readable recording medium | |
| CN111639235B (en) | Video recording quality detection method and device, storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |