CN113610791A - Method, system and device for cleaning copper bar chain based on AI image - Google Patents
Method, system and device for cleaning copper bar chain based on AI image Download PDFInfo
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- CN113610791A CN113610791A CN202110863576.0A CN202110863576A CN113610791A CN 113610791 A CN113610791 A CN 113610791A CN 202110863576 A CN202110863576 A CN 202110863576A CN 113610791 A CN113610791 A CN 113610791A
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- 238000004140 cleaning Methods 0.000 title claims abstract description 122
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 title claims abstract description 89
- 229910052802 copper Inorganic materials 0.000 title claims abstract description 89
- 239000010949 copper Substances 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000008569 process Effects 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims description 18
- 238000012549 training Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 5
- 230000001186 cumulative effect Effects 0.000 claims description 2
- 238000000605 extraction Methods 0.000 abstract 1
- 241000208125 Nicotiana Species 0.000 description 7
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 7
- 235000019504 cigarettes Nutrition 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 235000013599 spices Nutrition 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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Abstract
The invention discloses a method, a system and a device for cleaning a copper bar chain based on AI images, which comprises the steps of photographing the copper bar chain to obtain a picture, photographing the picture meeting the cleaning standard for N times, and extracting the image characteristics obtained after the N times of photographing; photographing the copper bar chain every other time period to obtain a picture of the copper bar chain; extracting the characteristics of the obtained pictures of the copper bar chain and comparing the extracted characteristics with the image characteristics of the obtained pictures; if the copper bar chain needs to be cleaned after comparison, a signal for cleaning the copper bar chain is sent to a cleaning system for cleaning; in the cleaning process, the step of executing is carried out to photograph the copper bar chain every other time period to obtain a picture of the copper bar chain; and performing feature extraction on the obtained pictures of the copper bar chain, comparing the obtained pictures with the image features of the plurality of obtained pictures, and sending a cleaning stopping signal to the cleaning system if the pictures do not need to be cleaned after comparison. The method can automatically identify the image and clean the copper bar chain through the AI image, and is full-automatic.
Description
Technical Field
The invention relates to the field of image processing, in particular to a method, a system and a device for cleaning a copper bar chain based on an AI image.
Background
In the actual production process, when the tobacco leaves are pressed into the tobacco cakes, the moisture, the tobacco tar and the spices on the surfaces of the tobacco leaves are combined with dust or broken tobacco powder to form smoke scale which is adhered to the surfaces of the copper bar chains, the smoke scale can gradually fill the grooves after being accumulated in the grooves with the same discharge capacity,
at this time, the copper bar chain surface can become smooth, frictional force between cigarette cake and copper bar chain reduces, the copper bar chain is at the in-process of carrying the cigarette cake, lead to the cigarette cake to skid, because it is confirmed by rotor and copper bar chain speed between them to shred the width, the cigarette cake leads to its speed to be less than the speed of copper bar chain because of skidding, lead to shredding the width to diminish, can appear "capillary silk" even, the pipe tobacco width qualification rate descends by a wide margin, seriously influence product quality, the process tobacco leaf is made garrulously and is increased simultaneously.
AI images have been rapidly developed in recent years and have a great position in the field of image recognition.
Disclosure of Invention
The invention aims to provide a method, a system and a device for cleaning a copper bar chain based on an AI image, and aims to solve the problem of cleaning the copper bar chain.
The invention provides a method for cleaning a copper bar chain based on an AI image, which comprises the following steps,
s1, photographing the copper bar chain to obtain a picture, photographing the picture meeting the cleaning standard for N times, and extracting image characteristics obtained after the N times of photographing;
s2, photographing the copper bar chain every other time period to obtain a picture of the copper bar chain;
s3, extracting the features of the picture obtained in the S2, and comparing the extracted features with the image features of the pictures obtained in the S1;
s4, if the copper bar chain needs to be cleaned after comparison, a signal for cleaning the copper bar chain is sent to a cleaning system for cleaning;
s5, in the cleaning process, executing steps S2 and S3, if the cleaning is not needed after the comparison, sending a cleaning stopping signal to the cleaning system.
The invention also provides a system for cleaning the copper bar chain based on the AI image, which comprises the following steps:
a training module: the system comprises a camera, a camera module, a data processing module and a data processing module, wherein the camera is used for shooting a copper bar chain to obtain a picture, shooting the picture meeting a cleaning standard for N times and extracting image characteristics obtained after the N times of shooting;
a photographing module: the system comprises a camera, a camera and a display, wherein the camera is used for photographing a copper bar chain at intervals of a time period to obtain a picture of the copper bar chain;
a comparison module: the device is used for extracting the features of the pictures obtained by the photographing module and comparing the features with the image features of the pictures obtained by the training module;
a cleaning module: if the copper bar chain needs to be cleaned after comparison, a signal for cleaning the copper bar chain is sent to a cleaning system for cleaning;
a stopping module: the cleaning system is used for executing the functions of the photographing module and the comparison module in the cleaning process, and sending a cleaning stopping signal to the cleaning system if the cleaning is not needed after the comparison.
The embodiment of the invention also provides a device for cleaning the copper bar chain based on the AI image, which comprises the following steps: the cleaning device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the steps of the method for cleaning the copper bar chain based on the AI image when being executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, wherein an implementation program for information transmission is stored on the computer readable storage medium, and the implementation program realizes the steps of the method when being executed by a processor.
By adopting the embodiment of the invention, the image can be automatically identified through the AI image, and the copper bar chain can be cleaned, thereby being full-automatic.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for cleaning a copper bar chain based on an AI image according to an embodiment of the present invention;
FIG. 2 is a specific flowchart of a method for cleaning a copper bar chain based on an AI image according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a system for cleaning a copper bar chain based on AI images according to an embodiment of the invention;
fig. 4 is a schematic device diagram of a system for cleaning a copper bar chain based on an AI image according to an embodiment of the present invention.
Description of reference numerals:
310: a training module; 320: a photographing module; 330: a comparison module; 340: a cleaning module; 350: and stopping the module.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise. Furthermore, the terms "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Method embodiment
According to an embodiment of the present invention, a method for cleaning a copper bar chain based on an AI image is provided, fig. 1 is a flowchart of the method for cleaning a copper bar chain based on an AI image according to the embodiment of the present invention, as shown in fig. 1, specifically including:
s1, photographing the copper bar chain to obtain a picture, photographing the picture meeting the cleaning standard for N times, and extracting image characteristics obtained after the N times of photographing;
s1 specifically includes: the method comprises the steps of photographing a copper bar chain to obtain a picture, photographing the picture reaching the cleaning standard for N times, wherein the photographing angle and the surface included angle of the copper bar chain are in multiple angles, and extracting image features of the obtained pictures photographed at the multiple angles.
S2, photographing the copper bar chain every other time period to obtain a picture of the copper bar chain;
s3, extracting the features of the picture obtained in the S2, and comparing the extracted features with the image features of the pictures obtained in the S1;
s3 specifically includes: extracting the features of the picture obtained in the step S2, comparing the extracted features with the image features of the pictures obtained in the step S1, and if the similarity is smaller than a certain threshold value, accumulating 1 by a counter;
s4, if the copper bar chain needs to be cleaned after comparison, a signal for cleaning the copper bar chain is sent to a cleaning system for cleaning;
s4 specifically includes: if the percentage of the accumulated times of the counter to the number of N times of photographing is larger than a certain threshold value, sending a signal for cleaning the copper bar chain to a cleaning system for cleaning;
s5, in the cleaning process, executing steps S2 and S3, if the cleaning is not needed after the comparison, sending a cleaning stopping signal to the cleaning system.
S5 specifically includes: in the cleaning process, steps S2 and S3 are executed, and if the percentage of the cumulative number of times of the counter to the number of N shots is lower than a certain threshold, the cleaning is stopped.
According to the method, the following steps are implemented:
fig. 2 is a specific flowchart of a method for cleaning a copper bar chain based on an AI image according to an embodiment of the present invention, as shown in fig. 2.
The AI image processing system adopts an end-to-end image processing system, in order to achieve the purpose of intelligent control and enable the cleaning system to automatically judge whether a copper bar chain needs to be cleaned, the AI image processing system is firstly trained to recognize and judge, a control signal is output, and the operation of the cleaning system is controlled. The image processing system principle is as follows:
firstly, training is carried out: using a digital camera with more than 500 ten thousand pixels to take a picture, and establishing a gallery folder 1: pictures which reach the standard of daily insurance (weekly insurance) and have no scale deposit are photographed, the included angle between the lens of a digital camera and the surface of a copper row chain is from 10 degrees to 170 degrees, the pictures are photographed at intervals of 10 degrees (10 degrees, 20 degrees, 30 degrees, 40 degrees, 50 degrees, 60 degrees, 70 degrees, 80 degrees, 90 degrees, 100 degrees, 110 degrees, 120 degrees, 130 degrees, 140 degrees, 150 degrees, 160 degrees and 170 degrees), the 17 pictures are labeled with 1-17, the group of pictures are input into an end-to-end image processing system, and the characteristics of the 17 pictures are extracted to be used as picture samples.
An input image processing system: after production begins, the sick intelligent image sensor collects copper bar chain surface information once every 10 seconds and converts the copper bar chain surface information into pictures, the collected pictures are labeled, and the pictures with the labels are input into an end-to-end image processing system.
Recognizing the picture: and the end-to-end image processing system extracts the characteristics of the label images, compares the extracted characteristics with 17 samples one by one, and accumulates 1 by a system counter when the similarity between the image characteristics acquired by the sine intelligent image sensor and any one of the 17 samples is less than 80%.
Outputting a control cleaning signal: when the picture acquired by the sine intelligent image sensor is not consistent with the picture of the sample picture in characteristics, namely more than 80% of pictures are unqualified in 170 seconds, the accumulated number of the counter reaches 14, the image processing system outputs a control signal, and the cleaning system is started.
Running and cleaning until the product is qualified: the method comprises the following steps that a sine intelligent image sensor collects a picture every 10 seconds, 170 seconds are a period, and in the period, as long as more than 80% of the pictures are unqualified, an image processing system outputs signals and controls a server to drive a cleaning system to operate and clean until the qualified pictures are lower than 50%.
An HMI (human machine interface) human-machine interaction interface of an operation station of the image processing system is set to be in a daily insurance mode, a monthly insurance mode, a manual/automatic mode and the like, the operation station is provided with an emergency stop button, and when the cleaning system is suddenly abnormal in the operation process, the cleaning system is stopped emergently; the start-stop button is used for independently starting the cleaning system and the alarm indicator lamp in a manual mode for alarming and reminding.
The method can automatically identify the image and clean the copper bar chain through the AI image, and is full-automatic.
System embodiment
According to an embodiment of the present invention, a system for cleaning a copper bar chain based on an AI image is provided, and fig. 3 is a schematic diagram of the system for cleaning a copper bar chain based on an AI image according to an embodiment of the present invention, as shown in fig. 3, the system specifically includes:
the training module 310: the system comprises a camera, a camera module, a data processing module and a data processing module, wherein the camera is used for shooting a copper bar chain to obtain a picture, shooting the picture meeting a cleaning standard for N times and extracting image characteristics obtained after the N times of shooting;
the training module 310 is specifically configured to: the method comprises the steps of photographing a copper bar chain to obtain a picture, photographing the picture reaching the cleaning standard for N times, wherein the photographing angle and the surface included angle of the copper bar chain are in multiple angles, and extracting image features of the obtained pictures photographed at the multiple angles.
The photographing module 320: the system comprises a camera, a camera and a display, wherein the camera is used for photographing a copper bar chain at intervals of a time period to obtain a picture of the copper bar chain;
the comparison module 330: the image comparison module is used for extracting the features of the images obtained by the comparison module and comparing the extracted features with the image features of the plurality of images obtained by the training module;
the comparison module 330 is specifically configured to: extracting the features of the pictures obtained by the comparison module, comparing the extracted features with the image features of the pictures obtained by the training module, and if the similarity is smaller than a certain threshold value, accumulating by a counter by 1;
the cleaning module 340: if the copper bar chain needs to be cleaned after comparison, a signal for cleaning the copper bar chain is sent to a cleaning system for cleaning;
the cleaning module 340 is specifically configured to: if the percentage of the accumulated times of the counter to the number of N times of photographing is larger than a certain threshold value, sending a signal for cleaning the copper bar chain to a cleaning system for cleaning;
the stop module 350: the cleaning system is used for executing the functions of the photographing module and the comparison module in the cleaning process, and sending a cleaning stopping signal to the cleaning system if the cleaning is not needed after the comparison.
The stopping module 350 is specifically configured to: and in the cleaning process, the functions of the photographing module and the comparison module are executed, and if the percentage of the accumulated times of the counter in the number of N times of photographing is lower than a certain threshold value, the cleaning is stopped.
The embodiment of the present invention is a system embodiment corresponding to the above method embodiment, and specific operations of each module may be understood with reference to the description of the method embodiment, which is not described herein again.
Apparatus embodiment one
An embodiment of the present invention provides a device for cleaning a copper bar chain based on an AI image, as shown in fig. 4, including: a memory 40, a processor 42 and a computer program stored on the memory 40 and executable on the processor 42, the computer program, when executed by the processor, implementing the steps of the above-described method embodiments.
Device embodiment II
The embodiment of the present invention provides a computer-readable storage medium, on which an implementation program for information transmission is stored, and when being executed by the processor 42, the implementation program implements the steps in the above method embodiments.
The computer-readable storage medium of this embodiment includes, but is not limited to: ROM, RAM, magnetic or optical disks, and the like.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; however, these modifications or alternative technical solutions of the embodiments of the present invention do not depart from the scope of the present invention.
Claims (10)
1. A method for cleaning a copper bar chain based on AI images is characterized by comprising the following steps,
s1, photographing the copper bar chain to obtain a picture, photographing the picture meeting the cleaning standard for N times, and extracting image characteristics obtained after the N times of photographing;
s2, photographing the copper bar chain every other time period to obtain a picture of the copper bar chain;
s3, extracting the features of the picture obtained in the S2, and comparing the extracted features with the image features of the pictures obtained in the S1;
s4, if the copper bar chain needs to be cleaned after comparison, a signal for cleaning the copper bar chain is sent to a cleaning system for cleaning;
s5, in the cleaning process, executing steps S2 and S3, if the cleaning is not needed after the comparison, sending a cleaning stopping signal to the cleaning system.
2. The method according to claim 1, wherein the S1 specifically includes: the method comprises the steps of photographing a copper bar chain to obtain a picture, photographing the picture reaching the cleaning standard for N times, wherein the photographing angle and the surface included angle of the copper bar chain are in multiple angles, and extracting image features of the obtained pictures photographed at the multiple angles.
3. The method according to claim 2, wherein the S3 specifically includes: and (5) extracting the features of the pictures obtained in the step (S2), comparing the extracted features with the image features of the pictures obtained in the step (S1), and accumulating 1 by a counter if the similarity is smaller than a certain threshold.
4. The method according to claim 3, wherein the S4 specifically comprises: and if the percentage of the accumulated times of the counter to the number of N times of photographing is greater than a certain threshold value, sending a signal for cleaning the copper bar chain to a cleaning system for cleaning.
5. The method according to claim 4, wherein the S5 specifically includes: in the cleaning process, steps S2 and S3 are executed, and if the percentage of the cumulative number of times of the counter to the number of N shots is lower than a certain threshold, the cleaning is stopped.
6. A system for cleaning a copper bar chain based on AI images, comprising:
a training module: the system comprises a camera, a camera module, a data processing module and a data processing module, wherein the camera is used for shooting a copper bar chain to obtain a picture, shooting the picture meeting a cleaning standard for N times and extracting image characteristics obtained after the N times of shooting;
a photographing module: the system comprises a camera, a camera and a display, wherein the camera is used for photographing a copper bar chain at intervals of a time period to obtain a picture of the copper bar chain;
a comparison module: the device is used for extracting the features of the pictures obtained by the photographing module and comparing the features with the image features of the pictures obtained by the training module;
a cleaning module: if the copper bar chain needs to be cleaned after comparison, a signal for cleaning the copper bar chain is sent to a cleaning system for cleaning;
a stopping module: the cleaning system is used for executing the functions of the photographing module and the comparison module in the cleaning process, and sending a cleaning stopping signal to the cleaning system if the cleaning is not needed after the comparison.
7. The system of claim 6, wherein the training module is specifically configured to: the method comprises the steps of photographing a copper bar chain to obtain a picture, photographing the picture meeting a cleaning standard for N times, wherein the included angle between the photographing angle and the surface of the copper bar chain is multi-angle, and extracting image characteristics of the obtained pictures photographed at multiple angles;
the comparison module is specifically configured to: and extracting the features of the pictures obtained by the photographing module, comparing the extracted features with the image features of the pictures obtained by the training module, and accumulating by a counter by 1 if the similarity is less than a certain threshold value.
8. The system of claim 7, wherein the cleaning module is specifically configured to: if the percentage of the accumulated times of the counter to the number of N times of photographing is larger than a certain threshold value, sending a signal for cleaning the copper bar chain to a cleaning system for cleaning;
the stop module is specifically configured to: and in the cleaning process, the functions of the photographing module and the comparison module in the step are executed, and if the percentage of the accumulated times of the counter in the number of N times of photographing is lower than a certain threshold value, the cleaning is stopped.
9. The utility model provides a device for wash copper bar chain based on AI image which characterized in that includes: memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method for cleaning copper bars based on AI images according to any one of claims 1 to 6.
10. A computer-readable storage medium, on which an information transfer implementation program is stored, and which when executed by a processor implements the steps of the method for cleaning the copper bar chain based on the AI image according to any one of claims 1 to 6.
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| CN202110863576.0A CN113610791A (en) | 2021-07-29 | 2021-07-29 | Method, system and device for cleaning copper bar chain based on AI image |
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| CN202110863576.0A CN113610791A (en) | 2021-07-29 | 2021-07-29 | Method, system and device for cleaning copper bar chain based on AI image |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060077501A (en) * | 2004-12-30 | 2006-07-05 | 엘지전자 주식회사 | Tv having a camera and method and ststem for providing image information thereof |
| CN203411011U (en) * | 2013-06-28 | 2014-01-29 | 河北白沙烟草有限责任公司保定卷烟厂 | Device for cleaning copper bar chain of tobacco cutter |
| CN109003262A (en) * | 2018-06-29 | 2018-12-14 | 炬大科技有限公司 | Stain clean method and device |
| CN110813960A (en) * | 2019-11-25 | 2020-02-21 | 河南中烟工业有限责任公司 | Intelligent tobacco basket cleaning device and control method |
| CN111008615A (en) * | 2019-12-25 | 2020-04-14 | 京能源深(苏州)能源科技有限公司 | Video monitoring-based method for inspecting surface pollution condition of roof photovoltaic module |
| CN112668423A (en) * | 2020-12-18 | 2021-04-16 | 平安科技（深圳）有限公司 | Corridor sundry detection method and device, terminal equipment and storage medium |
| CN113600525A (en) * | 2021-07-29 | 2021-11-05 | 河北白沙烟草有限责任公司保定卷烟厂 | Online cleaning device of copper bar chain based on intelligent recognition technology |
-
2021
- 2021-07-29 CN CN202110863576.0A patent/CN113610791A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060077501A (en) * | 2004-12-30 | 2006-07-05 | 엘지전자 주식회사 | Tv having a camera and method and ststem for providing image information thereof |
| CN203411011U (en) * | 2013-06-28 | 2014-01-29 | 河北白沙烟草有限责任公司保定卷烟厂 | Device for cleaning copper bar chain of tobacco cutter |
| CN109003262A (en) * | 2018-06-29 | 2018-12-14 | 炬大科技有限公司 | Stain clean method and device |
| CN110813960A (en) * | 2019-11-25 | 2020-02-21 | 河南中烟工业有限责任公司 | Intelligent tobacco basket cleaning device and control method |
| CN111008615A (en) * | 2019-12-25 | 2020-04-14 | 京能源深(苏州)能源科技有限公司 | Video monitoring-based method for inspecting surface pollution condition of roof photovoltaic module |
| CN112668423A (en) * | 2020-12-18 | 2021-04-16 | 平安科技（深圳）有限公司 | Corridor sundry detection method and device, terminal equipment and storage medium |
| CN113600525A (en) * | 2021-07-29 | 2021-11-05 | 河北白沙烟草有限责任公司保定卷烟厂 | Online cleaning device of copper bar chain based on intelligent recognition technology |
Non-Patent Citations (1)
| Title |
|---|
| 李明睿 等: "《工业机器人技术基础》", vol. 1, 31 August 2020, 西北工业大学出版社, pages: 119 - 121 * |
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