CN210083718U - Cigarette stack strip missing detection system based on imaging recognition - Google Patents
Cigarette stack strip missing detection system based on imaging recognition Download PDFInfo
- Publication number
- CN210083718U CN210083718U CN201920352270.7U CN201920352270U CN210083718U CN 210083718 U CN210083718 U CN 210083718U CN 201920352270 U CN201920352270 U CN 201920352270U CN 210083718 U CN210083718 U CN 210083718U
- Authority
- CN
- China
- Prior art keywords
- cigarette
- detection
- plc
- module
- detection sensor
- 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
Images
Abstract
The utility model provides a cigarette stack strip missing detection system based on imaging identification, which comprises a sorting device, a detection module, a shooting module and a control module; the detection module comprises a plurality of detection sensors; the control module comprises a PLC, an industrial personal computer and an audible and visual alarm device; the detection sensor transmits the detected cigarette stack signals on the sorting device to the PLC and triggers the shooting module to acquire images, and the acquired image data are transmitted to the industrial personal computer through a network; the industrial personal computer processes the image data by using a comprehensive algorithm of image processing software, judges whether the tobacco stacks in the image data are complete and transmits an image judgment result to the PLC in a binary code state, and the PLC reads the image judgment result and controls the sound-light alarm device and the sorting device to act according to the image judgment result. The system effectively ensures the real-time performance, stability and reliability of cigarette stack identification.
Description
Technical Field
The utility model relates to a cigarette buttress lacks strip detecting system for on commercial commodity circulation strip cigarette letter sorting production line.
Background
On a commercial logistics cigarette sorting production line in the tobacco industry, due to various reasons, the condition that cigarettes lack in cigarette boxes needing sorting exists, namely one or a plurality of cigarettes are omitted in one cigarette box. On the production line of cigarette sorting, if the cigarette stacks lacking the cigarettes are not found immediately, the production quality and the efficiency of the sorting line are seriously influenced. Before the cigarette carton is sorted, the problem of detecting whether the cigarette stack is short of the cigarette carton or not must be solved. Aiming at the problem that the carton is likely to be lack of strips in the carton packing process, various carton packing strip lack detection devices are designed according to different detection principles, and mainly comprise a gamma-ray (photon ray) scanning carton packing strip lack detection device, a weighing type carton packing strip lack detection device and a machine vision type carton packing strip lack detection device. The gamma ray scanning box packed strip-missing detection device is basically eliminated due to the radiation pollution.
The introduction of machine vision technology solves the defects of the traditional weighing type, ray type and end scanning type detection methods, and brings a new solution for the detection of the box strip lack. The box-packed strip-missing detection device is very important for guaranteeing the quality of products, so that the normal work of the detection device needs to be guaranteed. The conventional method is to regularly calibrate the boxed strip-lacking detection device by adopting a mode of artificially manufacturing strip-lacking, and to judge whether the boxed strip-lacking detection device can normally detect that a cigarette box has strip-lacking and correctly eliminate the strip-lacking cigarette box, so that the boxed strip-lacking detection device is in an effective working state.
The application number is 200920041260.8, the utility model discloses the title "case packer cigarette case lacks strip detection device", and this detection device includes CCD camera, infrared ray flash light source, PC host computer and alarm device. This detection device utilizes the infrared ray of infrared light source transmission to give the CCD camera with the stack image transmission of propelling movement direction, and the CCD camera transmits the stack picture of gathering for the host computer afterwards and handles the analysis, when the host computer inspection had the cigarette strip disappearance condition, control alarm suggestion operating personnel. The device has the following defects: the PC has more functions, slow starting and running speed and higher cost, and is not suitable for industrial application; the device is a complete equipment system, and for a cigarette factory with a plurality of assembly lines, one device needs to be arranged for each assembly line, so that the production cost and the resource consumption of an enterprise are greatly increased; not only occupies a relatively large space, but also is not conducive to maintenance due to the complexity of the equipment.
In order to solve the above problems, people are always seeking an ideal technical solution.
SUMMERY OF THE UTILITY MODEL
In order to achieve the above purpose, the utility model adopts the following technical scheme: a cigarette stack missing strip detection system based on imaging recognition comprises a sorting device, a detection module and a shooting module which are installed on the sorting device, and a control module which is in communication control connection with the detection module, the shooting module and the sorting device respectively;
the detection module comprises a plurality of detection sensors; the control module comprises a PLC, and an industrial personal computer and an audible and visual alarm device which are respectively in communication connection with the PLC;
the detection sensor transmits the detected cigarette stack signals on the sorting device to the PLC and triggers the shooting module to acquire images, and the acquired image data are transmitted to the industrial personal computer through a network; the industrial personal computer processes the image data by using a comprehensive algorithm of image processing software, judges whether the tobacco stacks in the image data are complete and transmits an image judgment result to the PLC in a binary code state, and the PLC reads the image judgment result and controls the sound-light alarm device and the sorting device to act according to the image judgment result.
Based on the above, sorting device is including pusher jack, cigarette case conveyor and the tobacco pile conveyor who arranges in proper order.
Based on the above, the cigarette box conveying device comprises a first rack and a cigarette box conveying belt arranged on the first rack, wherein cigarette boxes are placed on the cigarette box conveying belt, and the upper folding edge and the lower folding edge on the two sides of each cigarette box are in an open state; the cigarette stack conveying device comprises a second rack and a cigarette stack conveying belt arranged on the second rack; the pushing device comprises a third rack, and a driving motor and a push plate structure which are arranged on the third rack.
Based on the above, the shooting module is a digital camera, and the digital camera is arranged on the second rack through a camera support.
Based on the above, the detection module comprises a first detection sensor and a second detection sensor; the first detection sensor is arranged on the first rack, and the second detection sensor is arranged on the second rack.
Based on the above, the first detection sensor and the second detection sensor are split photoelectric sensors.
Based on the above, the first detection sensor, the second detection sensor and the shooting module are in communication connection with the PLC; the shooting module is in communication connection with the industrial personal computer.
On the basis, the first rack, the second rack and the third rack all include landing leg and grillage, the landing leg is retractable landing leg.
On the basis, the telescopic supporting leg comprises a sub-rod, a female rod and a fixing sleeve, wherein a base is arranged at the bottom of the female rod, a first thread section is formed in the upper section of the female rod, and a second thread section matched with the first thread section is formed in the fixing sleeve.
Based on the above, the cigarette buttress strip-missing detection system based on imaging identification still include power supply system and converter, power supply system does the converter detection module the shooting module with the control module power supply.
Compared with the prior art, the utility model has substantive characteristics and progress, and concretely speaking, the utility model can detect whether the cigarette stack of the cigarette to be fed into the lower sorting device is short of the cigarette on the commercial logistics production line, and provides acousto-optic alarm signals for operators; the cigarette stack strip missing detection system based on imaging identification can identify the information of a cigarette stack with a missing strip, is accurate and reliable, and sends an audible and visual alarm signal by a PLC (programmable logic controller) when detecting the information of the cigarette stack with the missing strip. Compared with the prior art that whether the carton-filling carton-missing detection device is normal or not is checked through manual carton missing manufacture, the system can judge whether the carton-filling carton-missing detection device is normal or not in real time, the self-diagnosis function of the carton-filling carton-missing detection device is realized, the product quality is guaranteed to the maximum extent, carton-missing cigarette stacks are prevented from flowing into a production line, and meanwhile, the labor cost is saved.
Drawings
Figure 1 is the utility model provides a cigarette buttress lacks strip detecting system overall structure sketch map based on formation of image discernment.
Figure 2 is the utility model provides a cigarette buttress lacks strip detection control system schematic diagram based on formation of image discernment.
Figure 3 is the utility model provides a retractable landing leg schematic diagram among cigarette buttress lacks strip detecting system based on formation of image discernment.
In the figure: 1. a sorting device; 2. a pushing device; 3. a tobacco pile conveyor belt; 4. a smoke box conveyor belt; 5. stacking the cigarettes; 6. a smoke box; 7. a second detection sensor; 8. a first detection sensor; 9. a shooting module; 10. a camera support; 11. a push plate structure; 12. a drive motor; 13. an electric control cabinet; 14. a PLC; 15. an industrial personal computer; 16. an audible and visual alarm device; 17. A second frame; 18. a female rod; 19. a sub-rod; 20. a base; 21. and fixing the sleeve.
Detailed Description
The technical solution of the present invention will be described in further detail through the following embodiments.
Examples
The embodiment provides a cigarette stack missing strip detection system based on imaging recognition, which comprises a sorting device 1, a detection module and a shooting module 9 which are installed on the sorting device 1, and a PLC14 and an industrial personal computer 15 which are respectively in communication control connection with the detection module, the shooting module 9 and the sorting device, as shown in figures 1, 2 and 3;
the detection module comprises a plurality of detection sensors; the control module comprises a PLC14, and an industrial personal computer 15 and an acousto-optic alarm device 16 which are respectively in communication connection with the PLC 14; the PLC14, the industrial personal computer 15 and the sound and light alarm device 16 are both arranged on the same electric control cabinet 13.
The detection sensor transmits the detected cigarette stack signals on the sorting device 1 to the PLC14 and triggers the shooting module 9 to collect images, and the collected image data are transmitted to the industrial personal computer 15 through a network; the industrial personal computer 15 processes the image data by using a comprehensive algorithm of image processing software, judges whether the tobacco stacks in the image data are complete or not and transmits an image judgment result to the PLC14 in a binary code state, and the PLC14 reads the image judgment result and controls the sound and light alarm device 16 and the sorting device 2 to act according to the image judgment result.
Wherein, sorting device 1 includes pusher jack 2, cigarette case conveyor and tobacco pile conveyor who arranges in proper order.
The cigarette box conveying device comprises a first machine frame and a cigarette box conveying belt 4 arranged on the first machine frame; and the smoke box 6 is conveyed on the smoke box conveying belt 4. The cigarette stack conveying device comprises a second rack 17 and a cigarette stack conveying belt 3 arranged on the second rack 17; the cigarette stack conveying belt 3 is provided with a cigarette stack 5.
The pushing device 2 comprises a third frame, and a driving motor 12 and a push plate structure 11 which are arranged on the third frame.
In this embodiment, the shooting module 9 is a digital camera, and the digital camera is disposed on the second frame 17 through a camera support 10.
The detection module comprises a first detection sensor 8 and a second detection sensor 7; the first detection sensor 8 is disposed on the first frame, and the second detection sensor 7 is disposed on the second frame. The first detection sensor 8 and the second detection sensor 7 are split photoelectric sensors. The first detection sensor 8, the second detection sensor 7 and the shooting module 9 are in communication connection with the PLC 14; the shooting module is in communication connection with the industrial personal computer.
First frame, second frame 17, third frame all include landing leg and grillage, the landing leg is retractable landing leg. The telescopic supporting leg comprises a sub-rod 19, a female rod 18 and a fixing sleeve 21, wherein a base 20 is arranged at the bottom of the female rod 18, a first thread section is formed in the upper section of the female rod 18, and a second thread section matched with the first thread section is formed in the fixing sleeve 21.
The cigarette buttress strip-missing detection system based on imaging identification further comprises a power supply system and a frequency converter, wherein the power supply system comprises the frequency converter, the detection module, the shooting module 9 and the control module for supplying power.
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 it; although the present invention has been described in detail with reference to preferred embodiments, it should be understood by those skilled in the art that: the invention can be modified or equivalent substituted for some technical features; without departing from the spirit of the present invention, it should be understood that the scope of the claims is intended to cover all such modifications and variations.
Claims (10)
1. A cigarette stack missing strip detection system based on imaging recognition comprises a sorting device, a detection module and a shooting module which are installed on the sorting device, and a control module which is in communication control connection with the detection module, the shooting module and the sorting device respectively; the method is characterized in that:
the detection module comprises a plurality of detection sensors; the control module comprises a PLC, and an industrial personal computer and an audible and visual alarm device which are respectively in communication connection with the PLC;
the detection sensor transmits the detected cigarette stack signals on the sorting device to the PLC and triggers the shooting module to acquire images, and the acquired image data are transmitted to the industrial personal computer through a network; the industrial personal computer processes the image data by using a comprehensive algorithm of image processing software, judges whether the tobacco stacks in the image data are complete and transmits an image judgment result to the PLC in a binary code state, and the PLC reads the image judgment result and controls the sound-light alarm device and the sorting device to act according to the image judgment result.
2. The system of claim 1, wherein the system is configured to detect a missing cigarette pack based on image recognition: the sorting device comprises a pushing device, a cigarette box conveying device and a cigarette stack conveying device which are sequentially arranged.
3. The system of claim 2, wherein the system is configured to detect a missing cigarette pack based on image recognition: the cigarette box conveying device comprises a first machine frame and a cigarette box conveying belt arranged on the first machine frame, wherein cigarette boxes are placed on the cigarette box conveying belt, and the upper folding edge and the lower folding edge on the two sides of each cigarette box are in an open state; the cigarette stack conveying device comprises a second rack and a cigarette stack conveying belt arranged on the second rack; the pushing device comprises a third rack, and a driving motor and a push plate structure which are arranged on the third rack.
4. The imaging recognition based cigarette pack missing strip detection system of claim 3, wherein: the shooting module is a digital camera, and the digital camera is arranged on the second rack through a camera support.
5. The imaging recognition based cigarette pack missing strip detection system of claim 4, wherein: the detection module comprises a first detection sensor and a second detection sensor; the first detection sensor is arranged on the first rack, and the second detection sensor is arranged on the second rack.
6. The imaging recognition based cigarette pack missing strip detection system of claim 5, wherein: the first detection sensor and the second detection sensor are split photoelectric sensors.
7. The imaging recognition based cigarette pack missing strip detection system of claim 6, wherein: the first detection sensor, the second detection sensor and the shooting module are in communication connection with the PLC; the shooting module is in communication connection with the industrial personal computer.
8. The imaging recognition based cigarette pack missing strip detection system of claim 7, wherein: the first frame the second frame with the third frame all includes landing leg and grillage, the landing leg is retractable landing leg.
9. The imaging recognition based cigarette pack missing strip detection system of claim 8, wherein: the telescopic landing leg comprises a sub-rod, a female rod and a fixing sleeve, wherein a base is arranged at the bottom of the female rod, a first thread section is formed in the upper section of the female rod, and a second thread section matched with the first thread section is formed in the fixing sleeve.
10. The imaging recognition based cigarette pack missing strip detection system of claim 9, wherein: the device also comprises a power supply system and a frequency converter, wherein the power supply system supplies power to the frequency converter, the detection module, the shooting module and the control module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920352270.7U CN210083718U (en) | 2019-03-20 | 2019-03-20 | Cigarette stack strip missing detection system based on imaging recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920352270.7U CN210083718U (en) | 2019-03-20 | 2019-03-20 | Cigarette stack strip missing detection system based on imaging recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN210083718U true CN210083718U (en) | 2020-02-18 |
Family
ID=69472095
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201920352270.7U Active CN210083718U (en) | 2019-03-20 | 2019-03-20 | Cigarette stack strip missing detection system based on imaging recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN210083718U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111573201A (en) * | 2020-05-29 | 2020-08-25 | 武汉库柏特科技有限公司 | A discernment detection device for cigarette buttress commodity circulation |
| CN112122160A (en) * | 2020-08-10 | 2020-12-25 | 北京缔佳医疗器械有限公司 | Automatic sorting method suitable for automatic production of bracket-free invisible appliance |
-
2019
- 2019-03-20 CN CN201920352270.7U patent/CN210083718U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111573201A (en) * | 2020-05-29 | 2020-08-25 | 武汉库柏特科技有限公司 | A discernment detection device for cigarette buttress commodity circulation |
| CN112122160A (en) * | 2020-08-10 | 2020-12-25 | 北京缔佳医疗器械有限公司 | Automatic sorting method suitable for automatic production of bracket-free invisible appliance |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN204974510U (en) | Food processing lines developments quality detecting and automatic grading plant of weight | |
| CN210083718U (en) | Cigarette stack strip missing detection system based on imaging recognition | |
| CN203753486U (en) | Online multi-form tagging and dynamic acquisition device | |
| CN104443602B (en) | Automatic unpacking system and method of electric energy meter | |
| CN110052420B (en) | Laser coding, detecting and sorting all-in-one machine and laser coding, detecting and sorting method | |
| CN111524184B (en) | Intelligent unstacking method and unstacking system based on 3D vision | |
| CN107239720A (en) | A kind of gantry frame type bar code scanner | |
| CN102654463A (en) | Watermelon quality NDT (non-destructive testing) method and device | |
| CN104866796A (en) | Detection platform for recognizing and reading two-dimensional code of cigarette case | |
| CN104297255A (en) | Visual inspection method and system device for paper cup defects | |
| CN202765779U (en) | Cigarette scanning code recognition mechanism | |
| CN105205431A (en) | Two-dimensional code automatic correction system and method in packaging process | |
| CN107830924A (en) | One kind parcel dynamic weighing barcode scanning is taken pictures volume detection device and method | |
| CN103071628A (en) | On-line detecting system for finished cigarette packaging outer packages | |
| CN115009794B (en) | Full-automatic plate conveying production line and production control system thereof | |
| CN108898179B (en) | Method and system for packaging ceramic tiles according to grades | |
| CN110743802A (en) | Automatic detection and supervision system for cloth | |
| CN111674652A (en) | Bubble cap plate defective product removing device | |
| CN107067421A (en) | A kind of substrate offal timber detection method, apparatus and system | |
| CN219552681U (en) | Empty plastic grid detection device for forming machine | |
| CN212093316U (en) | Wood defect detection device based on kinect camera | |
| CN207816850U (en) | Sheet-fed printed matter online quality control device | |
| CN213904373U (en) | Wine bottle and wine box two-dimensional code acquisition association device | |
| CN105021622A (en) | Welding rod quality detection system | |
| CN212220754U (en) | Cigarette carton reverse-white detection system for packaging machine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |