CN202700832U - Dynamic identification device of inferior products in production - Google Patents

Dynamic identification device of inferior products in production Download PDF

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Publication number
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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CN
China
Prior art keywords
production
area array
frequency area
image processor
grade
Prior art date
Application number
CN201220228921XU
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Chinese (zh)
Inventor
不公告发明人
Original Assignee
无锡嘉华智慧交通科技有限公司
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Priority to CN201220228921XU priority Critical patent/CN202700832U/en
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Publication of CN202700832U publication Critical patent/CN202700832U/en

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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

The Dynamic Recognition device of the defect ware in a kind of production process

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;

Step 2, video memory 2 memory images, and view data is transferred to image processor 3 by the high-speed video line, the consecutive image data of 3 pairs of collections of image processor are carried out noise reduction process;

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 5, alarm 5 carry out Realtime Alerts;

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.
CN201220228921XU 2012-05-22 2012-05-22 Dynamic identification device of inferior products in production CN202700832U (en)

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

Publications (1)

Publication Number Publication Date
CN202700832U true CN202700832U (en) 2013-01-30

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CN201220228921XU CN202700832U (en) 2012-05-22 2012-05-22 Dynamic identification device of inferior products in production

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CN (1) CN202700832U (en)

Cited By (3)

* Cited by examiner, † Cited by third party
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

Cited By (5)

* Cited by examiner, † Cited by third party
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

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GR01 Patent grant
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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.

COR Change of bibliographic data

Free format text: CORRECT: ADDRESS; FROM: 214135 WUXI, JIANGSU PROVINCE TO: 201199 MINHANG, SHANGHAI

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
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20130130

Termination date: 20160522

CF01 Termination of patent right due to non-payment of annual fee