CN109635684A - A kind of food traceability system - Google Patents

A kind of food traceability system Download PDF

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Publication number
CN109635684A
CN109635684A CN201811433675.XA CN201811433675A CN109635684A CN 109635684 A CN109635684 A CN 109635684A CN 201811433675 A CN201811433675 A CN 201811433675A CN 109635684 A CN109635684 A CN 109635684A
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CN
China
Prior art keywords
food
image
intelligent terminal
color
colour
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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.)
Pending
Application number
CN201811433675.XA
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Chinese (zh)
Inventor
於跃成
左华煜
姚宇辉
生佳根
王长宝
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Jiangsu University of Science and Technology
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Jiangsu University of Science and Technology
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Application filed by Jiangsu University of Science and Technology filed Critical Jiangsu University of Science and Technology
Priority to CN201811433675.XA priority Critical patent/CN109635684A/en
Publication of CN109635684A publication Critical patent/CN109635684A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/018Certifying business or products
    • G06Q30/0185Product, service or business identity fraud

Abstract

The invention discloses a kind of food traceability systems, including at least two intelligent terminals and information service platform of tracing to the source, intelligent terminal is connected by network with information service platform of tracing to the source, the intelligent terminal is connected with colour imagery shot, the information service platform of tracing to the source includes food colour based on image and shape analysis and discrimination module, the electronic stencil of one intelligent terminal selection retrospect food, another intelligent terminal selection traces the color and shape of food, and be stored with from the food of third party testing agency be qualified when the color and shape based on video acquisition characteristic value, and electronic stencil.Solve the problems, such as that the food traceability system of existing consumer level cannot replace automatically human eye to judge food quality by computer vision technique, it is convenient, again anti-switch and personation, and solved eyes be colour blindness consumer can not intuitively pass through the problem of color specifically judges food by eyes.

Description

A kind of food traceability system
Technical field
The invention belongs to grain security field, it is specifically related to the food that there is color and shape auxiliary detection identification in consumption terminal Product traceability system.
Background technique
Tracing information includes the information such as production, processing, transport and sale in current food traceability system, and with food packet Load onto institute's target item row coding or it is two-dimensional encoded carry out corresponding food tracing for mark, due to considering cost, institute in food packaging Target coding not instead of unique encodings, identical with batch coding, when factory, examines also only sampling inspection, so tracing information The organoleptic indicator for often providing corresponding food external characteristics allows the superiority and inferiority and quality of the traced food of the further adjunct test of consumer, The comparison that specific organoleptic indicator has for consumer in fact it is difficult grasp or operate it is loaded down with trivial details, when consumer sensory's existing defects The superiority and inferiority and quality for completing to examine food can not be just assisted from sense organ, can not pass through eyes if eyes are the consumer of colour blindness Intuitively food is specifically judged by color.
It is known that: it is existing that food superiority and inferiority is judged by organoleptic examination and is classified replaced widely modern detection method, especially It is to detect the process of food quality by human eye to collect optics, computer science, mathematics, image procossing, pattern-recognition etc. The computer vision technique of multiple subject crossings is replaced, and carries out objective evaluation to food quality by computer vision technique. It replaces the visual performance of human eye objectively to obtain the image information of tested food by optical imaging sensor;Then pass through figure As the food quality characteristic information for including in processing technique excavation image, the qualitative of quality information is established using algorithm for pattern recognition Or quantitative detection model, Informational support is provided for food quality detection, classification, management etc..According to the visual performance of human eye to not With the due external characteristics of subjective inspection index and food of food, computer vision technique carries out respective image processing.Such as: passing through Pizza quality and figure are established to the segmentation of the image information of Piza, boundary determination, feature extraction, pattern-recognition etc. processing As the correlativity between quality, Threshold segmentation, boundary segmentation and region segmentation three are combined and compare Sa Pin quality inspection It surveys;Eggplant classification is realized to features such as the length of eggplant, diameter, volume, color, surface defects by computer vision technique; Automatic classification screening is carried out by color of the computer vision technique to pomegranate grain;Cabbage is extracted by computer vision technique The features such as color, shape are simultaneously classified using neural fusion cabbage;Color is based on by computer vision technique and texture is special Sign is to orange sorting;Size, shape, the color, Texture eigenvalue that marine product is extracted by computer vision technique, in conjunction with prediction Model is classified to marine product and quality evaluation.
Summary of the invention
The technical issues of purpose of the present invention and solution is to provide a kind of food tracing for above-mentioned existing defect System illustrates consumer's Self-operating according to organoleptic indicator, also has except having organoleptic indicator's explanation during food tracing The automatic detection identification function for replacing human eye to judge based on computer vision technique from third party, consumer are adopted by camera Collect traced food image, it is third-party to replace human eye to judge automatically based on computer vision technique functional module.
In order to achieve the above objectives, the present invention adopts the following technical scheme that:
A kind of food traceability system, including at least two intelligent terminals and information service platform of tracing to the source, intelligent terminal pass through Network is connected with information service platform of tracing to the source, and the intelligent terminal is connected with colour imagery shot, and the information service of tracing to the source is flat Platform includes food colour based on image and shape analysis and discrimination module;The electricity of one intelligent terminal selection retrospect food Subtemplate, another intelligent terminal selection trace the color and shape of food.
The intelligent terminal is smart phone, is equipped with APP food safety trace back module, APP food safety trace back module Selection function module including APP interface information module, safety food identification module and based on image evaluation food quality and Electronic stencil display function module.APP food safety trace back module is in communication with each other by network with information service platform of tracing to the source.
The information service platform of tracing to the source also is stored with the food based on image except being stored with for safety food authentication information The analysis of product color and shape and discrimination module, and from the food of third party testing agency be qualified when be based on video acquisition Color and shape characteristic value and electronic stencil.
The food colour and shape analysis and discrimination module based on image is used to be based on image when intelligent terminal executes When evaluating the selection function module of food quality, after intelligent terminal obtains the image of traced food by colour imagery shot, According to the characteristic value of third party testing agency color and shape based on video acquisition when food is qualified to image at Analysis and distinguishing is managed, it is whether positive qualified to confirm traced food from dynamic auxiliary, or it may be said that is confirmed whether from dynamic auxiliary with retrospect The text of explanation is consistent.
The colour imagery shot, bar code and two-dimensional encoded acquisition in food packaging, and for selecting to be based on Food image acquisition is carried out when image evaluation food quality.
The safety food identification module includes food code identification module, and food code identification module is to colour imagery shot The bar code of acquisition or two-dimensional encoded identification, into corresponding retrospect content and the corresponding choosing based on image evaluation food quality , and instruct depending on the user's operation: text and the chart data explanation of storage are transferred from information service platform of tracing to the source to identify Food it is true and false, or execute the selection function module based on image evaluation food quality from dynamic auxiliary evaluate food quality.
A size fixed square pattern plate is accompanied by when the food packaging, template is positive and negative to indicate three base of RGB respectively Color color places square pattern plate and evaluation food when executing the selection function module based on image evaluation food quality Same plane acquires square pattern plate when colour imagery shot acquires food image simultaneously, and square pattern board size is for being based on The food colour of image and shape analysis and discrimination module correct the size of ingested product, and red-green-blue color is used for base In the food colour of image and shape analysis and discrimination module to ingested product color correction.
There are in corresponding food packaging subsidiary one pros for being colored as red-green-blue color in third party testing agency The electronic stencil of pattern plate, electronic stencil image, which is shown, can choose the pros fixed with a size subsidiary in corresponding food packaging Pattern plate at 1 to 1 relationship.User's subsidiary one square pattern for being colored as red-green-blue color in food packaging Plate carries out the size timing to ingested product, first by square pattern plate compared with electronic stencil carries out covering method, if energy It just covers, illustrates that square type template size subsidiary in food packaging is correct, otherwise square pattern subsidiary in food packaging The big minor error of plate, it is impossible to be used in the size of ingested product is corrected.
When executing the selection function module based on image evaluation food quality, the preferred electronic stencil image of the present invention will The intelligent terminal and evaluation food for showing electronic stencil image place same plane, trace the intelligent terminal of food colour and shape Electronic stencil image is acquired when acquiring food image simultaneously, electronic stencil image size is used for food colour and shape based on image Shape analysis and discrimination module correct the size of ingested product, and red-green-blue color is used for based on figure in electronic stencil image The food colour of picture and shape analysis and discrimination module are to ingested product color correction.
In the present invention: after executing the selection function module based on image evaluation food quality, when real-time detection and items Characteristic value relative error is shown on the intelligent terminal screen of the color and shape retrospect to food.
The utility model has the advantages that
A kind of food traceability system of the invention, which is additionally arranged to have, is based on computer vision technique instead of people from third party The automatic detection identification function that eye is judged, consumer acquires traced food image by camera, third-party based on calculating Machine vision technique functional module replaces human eye to judge automatically, convenient, and anti-switch and personation, and has solved the consumption that eyes are colour blindness Person can not intuitively pass through the problem of color specifically judges food by eyes.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of food traceability system of the invention;
In figure: 1,2. intelligent terminal, 3. trace to the source information service platform, 4. networks.
Specific embodiment
As shown in Figure 1, a kind of food traceability system, including intelligent terminal 1,2 and information service platform 3 of tracing to the source, intelligence is eventually End 1,2 is connected by network 4 with information service platform 3 of tracing to the source, and the intelligent terminal 1,2 is connected with colour imagery shot, described Information service platform 3 of tracing to the source includes food colour based on image and shape analysis and discrimination module;The intelligent terminal 1,2 In intelligent terminal selection retrospect food electronic stencil, the selection of another intelligent terminal chases after the color and shape of food It traces back.
The intelligent terminal 1,2 is smart phone, is equipped with APP food safety trace back module, APP food safety trace back mould Block includes APP interface information module, safety food identification module and based on the selection function module of image evaluation food quality with And electronic stencil display function module.APP food safety trace back module passes through network 4 and 3 phase intercommunication of information service platform of tracing to the source Letter.
The information service platform 3 of tracing to the source also is stored with except being stored with for safety food authentication information based on image Food colour and shape analysis and discrimination module, and from the food of third party testing agency be qualified when obtained based on video The characteristic value and electronic stencil of the color and shape taken.
The food colour and shape analysis and discrimination module based on image is used to be based on image when intelligent terminal executes When evaluating the selection function module of food quality, after intelligent terminal obtains the image of traced food by colour imagery shot, According to the characteristic value of third party testing agency color and shape based on video acquisition when food is qualified to image at Analysis and distinguishing is managed, it is whether positive qualified to confirm traced food from dynamic auxiliary, or it may be said that is confirmed whether from dynamic auxiliary with retrospect The text of explanation is consistent.
The colour imagery shot, bar code and two-dimensional encoded acquisition in food packaging, and for selecting to be based on Food image acquisition is carried out when image evaluation food quality.
The safety food identification module includes food code identification module, and food code identification module is to colour imagery shot The bar code of acquisition or two-dimensional encoded identification, into corresponding retrospect content and the corresponding choosing based on image evaluation food quality , and instruct depending on the user's operation: text and the chart data explanation of storage are transferred from information service platform 3 of tracing to the source to identify Food it is true and false, or execute the selection function module based on image evaluation food quality from dynamic auxiliary evaluate food quality.
A size fixed square pattern plate is accompanied by when the food packaging, template is positive and negative to indicate three base of RGB respectively Color color places square pattern plate and evaluation food when executing the selection function module based on image evaluation food quality Same plane acquires square pattern plate when colour imagery shot acquires food image simultaneously, and square pattern board size is for being based on The food colour of image and shape analysis and discrimination module correct the size of ingested product, and red-green-blue color is used for base In the food colour of image and shape analysis and discrimination module to ingested product color correction.
There are in corresponding food packaging subsidiary one pros for being colored as red-green-blue color in third party testing agency The electronic stencil of pattern plate, electronic stencil image, which is shown, can choose the pros fixed with a size subsidiary in corresponding food packaging Pattern plate at 1 to 1 relationship.User's subsidiary one square pattern for being colored as red-green-blue color in food packaging Plate carries out the size timing to ingested product, first by square pattern plate compared with electronic stencil carries out covering method, if energy It just covers, illustrates that square type template size subsidiary in food packaging is correct, otherwise square pattern subsidiary in food packaging The big minor error of plate, it is impossible to be used in the size of ingested product is corrected.
When executing the selection function module based on image evaluation food quality, the preferred electronic stencil image of the present invention will The intelligent terminal and evaluation food for showing electronic stencil image place same plane, trace the intelligent terminal of food colour and shape Electronic stencil image is acquired when acquiring food image simultaneously, electronic stencil image size is used for food colour and shape based on image Shape analysis and discrimination module correct the size of ingested product, and red-green-blue color is used for based on figure in electronic stencil image The food colour of picture and shape analysis and discrimination module are to ingested product color correction.
In the present invention: after executing the selection function module based on image evaluation food quality, when real-time detection and items Characteristic value relative error is shown on the intelligent terminal screen of the color and shape retrospect to food.

Claims (7)

1. a kind of food traceability system, including at least two intelligent terminals and information service platform of tracing to the source, intelligent terminal pass through net Network is connected with information service platform of tracing to the source, and the intelligent terminal is connected with colour imagery shot, which is characterized in that the letter of tracing to the source Breath service platform includes food colour based on image and shape analysis and discrimination module and electronic stencil, and an intelligence is eventually The electronic stencil of end selection retrospect food, another intelligent terminal selection trace the color and shape of food.
2. a kind of food traceability system according to claim 1, which is characterized in that be stored in information service platform of tracing to the source The characteristic value of color and shape based on video acquisition when food is qualified.
3. a kind of food traceability system according to claim 2, which is characterized in that the color based on video acquisition Third party testing agency is derived from the characteristic value of shape.
4. a kind of food traceability system according to claim 1, which is characterized in that intelligent terminal is smart phone.
5. a kind of food traceability system according to claim 1, which is characterized in that intelligent terminal is embedded with to be commented based on image Determine the selection function module of food quality.
6. a kind of food traceability system according to claim 1, which is characterized in that be accompanied by a positive square when food packaging Template, template is positive and negative to indicate red-green-blue color respectively.
7. a kind of food traceability system according to claim 1, which is characterized in that show the intelligent terminal of electronic stencil with The intelligent terminal of evaluation food placement same plane, retrospect food colour and shape acquires electronic die when acquiring food image simultaneously Plate image, electronic stencil image size for based on image food colour and shape analysis and discrimination module to ingested product Size correction, in electronic stencil image red-green-blue color for based on image food colour and shape analysis and differentiation Module is to ingested product color correction.
CN201811433675.XA 2018-11-28 2018-11-28 A kind of food traceability system Pending CN109635684A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111046813A (en) * 2019-12-19 2020-04-21 百胜(中国)投资有限公司 Control device and method for automatic food vending machine
CN113010613A (en) * 2021-03-18 2021-06-22 德州职业技术学院 Multi-dimensional intelligent identification system and method for checking food and medicine

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101334814A (en) * 2008-04-28 2008-12-31 华北电力大学 Automatic scanning and reading system and reading method
CN104000593A (en) * 2014-06-12 2014-08-27 北京爱肌肤科技有限公司 Color card and skin test method and system
CN106570855A (en) * 2016-07-22 2017-04-19 北京农业信息技术研究中心 Method and system for quickly judging pork freshness
CN108520593A (en) * 2018-03-23 2018-09-11 合肥美的智能科技有限公司 Unmanned vending machine

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101334814A (en) * 2008-04-28 2008-12-31 华北电力大学 Automatic scanning and reading system and reading method
CN104000593A (en) * 2014-06-12 2014-08-27 北京爱肌肤科技有限公司 Color card and skin test method and system
CN106570855A (en) * 2016-07-22 2017-04-19 北京农业信息技术研究中心 Method and system for quickly judging pork freshness
CN108520593A (en) * 2018-03-23 2018-09-11 合肥美的智能科技有限公司 Unmanned vending machine

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
北方工业大学教务处主编, 北京中国发展出版社 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111046813A (en) * 2019-12-19 2020-04-21 百胜(中国)投资有限公司 Control device and method for automatic food vending machine
CN111046813B (en) * 2019-12-19 2023-07-18 胜斗士(上海)科技技术发展有限公司 Control device and method for food vending machine
CN113010613A (en) * 2021-03-18 2021-06-22 德州职业技术学院 Multi-dimensional intelligent identification system and method for checking food and medicine

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