CN202700832U - Dynamic identification device of inferior products in production - Google Patents
Dynamic identification device of inferior products in production Download PDFInfo
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- CN202700832U CN202700832U CN201220228921XU CN201220228921U CN202700832U CN 202700832 U CN202700832 U CN 202700832U CN 201220228921X U CN201220228921X U CN 201220228921XU CN 201220228921 U CN201220228921 U CN 201220228921U CN 202700832 U CN202700832 U CN 202700832U
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- image processor
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Abstract
The utility model discloses a dynamic identification device of inferior products in production. The dynamic identification device comprises an industrial grade high frequency area array camera, a picture memory, an image processor, an automatic sorting device and alarm equipment, wherein the industrial grade high frequency area array camera, the picture memory, the image processor, the automatic sorting device and the alarm equipment are connected in sequence. The dynamic identification device of the inferior products is fixed on the upper end of a production line. In the rolling process of the production line, the industrial grade high frequency area array camera can automatically scan products positioned on the production line, and timely compare collected images with the images of normal products. Under the condition of a discrepancy of the comparison, an exception record is formed and an alarm is given, and then the automatic sorting device sorts the products out.
Description
Technical field
The utility model relates to the dynamic recognition system of product on production line in a kind of industrial production, especially relates to the Dynamic Recognition device of the defect ware in a kind of production process, belongs to production automation field.
Background technology
Product line by production the circuit of process, namely from raw material enters the production scene, through the circuit of processing, transporting, assemble, a series of activities in production such as check consist of.In original production process, the product quality of production line output detects thisly has that highly repeatability and intelligent work can only be finished by manual detection, immediately usually can see in modern streamline back that detecting that people carries out this procedure, when having increased huge cost of labor and management cost to enterprise, but can not guarantee 100% the rate that is up to the standards.This detection is repeated labor, make mistakes easily, and efficient is low.In addition, in some dangerous work environment or implacable occasions of artificial vision that is not suitable for people's work, need to be detected product by machine.It is integrated that this method is easy to realization information, is the basic technology of modern computer Integrated-manufacturing Techniques.
The existing video identification technology of some of present stage is generally taken standard picture by camera, forms on this basis standard, then takes detected image, both is compared again.But many products often need more complicated detection technique, because the content of image is not single image, quantity, size, color, the position of the impurity of every tested zone existence are not necessarily consistent, the shape of impurity is difficult to determine in advance, and can to light generation reflection, may there be much noise in the product rapid movement in the image.The utility model is exactly to have proposed new structure for above problem, has increased noise reduction and remove the new committed steps such as redundant in the gatherer process of image.
The utility model content
The purpose of this utility model is exactly the dynamic recognition system that the defect ware of strong, the good autgmentability of a kind of low cost, general ability is provided in order to overcome the defective that above-mentioned prior art exists.
For achieving the above object, the utility model provides the Dynamic Recognition device of the defect ware in a kind of production process, and it comprises technical grade high frequency area array cameras, video memory, image processor, automatic sorting plant and the alarm that connects successively.
Be provided with tight shot on the described technical grade high frequency area array cameras.
Described technical grade high frequency area array cameras is connected with described video memory by the high-speed video bus.
Described technical grade high frequency area array cameras is fixedly mounted on the vertical top of product of production line conveyer belt by support, gathers the view data of product on the conveyer belt.
Described video memory is connected with described image processor by the high-speed video line, and this image processor is compared the image and the normal product image that gather in real time and stored, and forms exception record in the situation that comparison is not inconsistent.
Described image processor links to each other by data wire with alarm with automatic sorting plant, in case image processor notes abnormalities, alarm carries out Realtime Alerts, this automatic this product of sorting plant sort out.
Concrete, technical grade high frequency area array cameras described in the utility model, video memory, image processor, automatic sorting plant and alarm all can adopt known schemes of the prior art, relevant above-mentioned known solution, those skilled in the art all understands, does not repeat them here.
Description of drawings
Fig. 1 is hardware configuration schematic diagram of the present utility model;
Fig. 2 is flow chart of the present utility model.
The specific embodiment
Below in conjunction with the drawings and specific embodiments the utility model is elaborated.
Embodiment
As shown in Figure 1, the Dynamic Recognition device of the defect ware in a kind of production process comprises: the technical grade high frequency area array cameras 1 that connects successively, video memory 2, image processor 3, automatic sorting plant 4 and alarm 5.
Be provided with tight shot on the described technical grade high frequency area array cameras 1.
Described technical grade high frequency area array cameras 1 is connected with described video memory 2 by the high-speed video bus.
Described technical grade high frequency area array cameras 1 is fixedly mounted on the vertical top of product of production line conveyer belt by support, gathers the view data of product on the conveyer belt
Described video memory 2 is connected with described image processor 3 by the high-speed video line, and this image processor 3 is compared the image and the normal product image that gather in real time and stored, and forms exception record in the situation that comparison is not inconsistent.
Described image processor 3 and automatic sorting plant 4 and alarm 5 link to each other by data wire, in case image processor 3 notes abnormalities, alarm 5 carries out Realtime Alerts, this automatic this product of sorting plant 4 sort outs.
As shown in Figure 2, the Dynamic Recognition device of this defect ware carries out following processing to product.
Step 1,1 pair of image of technical grade high frequency area array cameras carry out continuous acquisition, and view data is passed through the high-speed video bus transfer to video memory 2;
Behind step 3, the noise reduction, this image processor 3 adopts topography to compare to eliminate redundancy;
After step 4, the elimination redundancy, this image processor 3 is compared the image and the normal product image that gather in real time and is stored, and forms exception record in the situation that comparison is not inconsistent.
In the present embodiment, described real-time comparison adopts Snake energy model algorithm and AdaBoost sorting algorithm that image is processed in real time, and video data is peeled off into frame by frame picture, confirms product breakage, and current data frame is demarcated unusually.
Step 6, automatic this product of sorting plant 4 sort outs.
Compared with prior art, the utlity model has low cost, strong, the good autgmentability of general ability, thereby promote operating efficiency and product percent of pass.
The Dynamic Recognition device of the defect ware that the utility model provides can be finished the automatic detection to each product under the continual environment of production task, simplify Detection task, has improved efficient and product percent of pass.
Certainly; above-mentioned explanation is not to be to restriction of the present utility model; the utility model also is not limited in above-mentioned giving an example, and the variation that those skilled in the art make in essential scope of the present utility model, remodeling, interpolation or replacement also should belong to protection domain of the present utility model.
Claims (5)
1. the Dynamic Recognition device of the defect ware in the production process, comprise the technical grade high frequency area array cameras, video memory, image processor, automatic sorting plant and the alarm that connect successively, it is characterized in that: be provided with tight shot on the described technical grade high frequency area array cameras.
2. the Dynamic Recognition device of the defect ware in a kind of production process as claimed in claim 1 is characterized in that: described technical grade high frequency area array cameras is connected with described video memory by the high-speed video bus.
3. the Dynamic Recognition device of the defect ware in a kind of production process as claimed in claim 1, it is characterized in that: described technical grade high frequency area array cameras is fixedly mounted on the vertical top of product of production line conveyer belt by support, gathers the view data of product on the conveyer belt.
4. the Dynamic Recognition device of the defect ware in a kind of production process as claimed in claim 1, it is characterized in that: this video memory links to each other by the high-speed video line with image processor.
5. the Dynamic Recognition device of the defect ware in a kind of production process as claimed in claim 1, it is characterized in that: this image processor links to each other by data wire with alarm with automatic sorting plant.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201220228921XU CN202700832U (en) | 2012-05-22 | 2012-05-22 | Dynamic identification device of inferior products in production |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201220228921XU CN202700832U (en) | 2012-05-22 | 2012-05-22 | Dynamic identification device of inferior products in production |
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| CN202700832U true CN202700832U (en) | 2013-01-30 |
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| CN201220228921XU Expired - Fee Related CN202700832U (en) | 2012-05-22 | 2012-05-22 | Dynamic identification device of inferior products in production |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105049700A (en) * | 2014-04-21 | 2015-11-11 | 昕芙旎雅有限公司 | Image data processing apparatus for parts feeder and parts feeder |
| CN107330492A (en) * | 2017-06-30 | 2017-11-07 | 北京三六五度农业信息技术有限公司 | Seal bag product traceability system and source tracing method |
| CN108015972A (en) * | 2016-10-31 | 2018-05-11 | 住友重机械工业株式会社 | The sorting unit and injection molding apparatus of injection-molded article |
| CN110384127A (en) * | 2019-07-27 | 2019-10-29 | 智锐达仪器科技南通有限公司 | A kind of livestock ketone body marking method and marking device |
| CN111263091A (en) * | 2019-12-20 | 2020-06-09 | 中译语通文娱科技(青岛)有限公司 | Intelligent verification method for video content |
-
2012
- 2012-05-22 CN CN201220228921XU patent/CN202700832U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105049700A (en) * | 2014-04-21 | 2015-11-11 | 昕芙旎雅有限公司 | Image data processing apparatus for parts feeder and parts feeder |
| CN105049700B (en) * | 2014-04-21 | 2019-06-21 | 昕芙旎雅有限公司 | Feed appliance image processing apparatus and feed appliance |
| CN108015972A (en) * | 2016-10-31 | 2018-05-11 | 住友重机械工业株式会社 | The sorting unit and injection molding apparatus of injection-molded article |
| CN108015972B (en) * | 2016-10-31 | 2020-01-31 | 住友重机械工业株式会社 | Sorting device for injection molding products and injection molding system |
| CN107330492A (en) * | 2017-06-30 | 2017-11-07 | 北京三六五度农业信息技术有限公司 | Seal bag product traceability system and source tracing method |
| CN110384127A (en) * | 2019-07-27 | 2019-10-29 | 智锐达仪器科技南通有限公司 | A kind of livestock ketone body marking method and marking device |
| CN111263091A (en) * | 2019-12-20 | 2020-06-09 | 中译语通文娱科技(青岛)有限公司 | Intelligent verification method for video content |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: NINGBO SIPURUI AUTOMOBILE PARTS CO., LTD. Free format text: FORMER OWNER: WUXI JIAHUA SMART TRAFFIC TECHNOLOGY CO., LTD. Effective date: 20140714 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 214135 WUXI, JIANGSU PROVINCE TO: 201199 MINHANG, SHANGHAI |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20140714 Address after: 201199 Shanghai city Minhang District humin road 5366 Lane 40, room 1003 Patentee after: Ningbo Si Purui Automobile Parts Co. Address before: E science and Technology Park Building Garden District techol Qingyuan Road Liye University 214135 Jiangsu province Wuxi City No. 309 Patentee before: Wuxi Jiahua Intelligent Transportation Technology Co., Ltd. |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130130 Termination date: 20160522 |