CN201622243U - Device for detecting and analyzing antibiotic residual quantity - Google Patents

Device for detecting and analyzing antibiotic residual quantity Download PDF

Info

Publication number
CN201622243U
CN201622243U CN2010201644658U CN201020164465U CN201622243U CN 201622243 U CN201622243 U CN 201622243U CN 2010201644658 U CN2010201644658 U CN 2010201644658U CN 201020164465 U CN201020164465 U CN 201020164465U CN 201622243 U CN201622243 U CN 201622243U
Authority
CN
China
Prior art keywords
light source
check
out console
utility
microprocessor
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.)
Expired - Fee Related
Application number
CN2010201644658U
Other languages
Chinese (zh)
Inventor
范影乐
丁颖
詹跃荣
王佳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Dianzi University
Original Assignee
Hangzhou Dianzi University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hangzhou Dianzi University filed Critical Hangzhou Dianzi University
Priority to CN2010201644658U priority Critical patent/CN201622243U/en
Application granted granted Critical
Publication of CN201622243U publication Critical patent/CN201622243U/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Image Processing (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)

Abstract

The utility model relates to a device for detecting and analyzing the antibiotic residual quantity. The traditional method can be used for manually counting and calculating, so that the precision is low and the subjectivity is great. In the utility model, an upper light source is arranged above a detection plate; a lower light source is arranged under the detection plate; the positions of light beams transmitted by the upper light source and light beams transmitted by the lower light source on the detection plate correspond one another; a lens of a CCD (Charge-coupled Device) camera is arranged corresponding to the detection plate; the CCD camera is connected with an image acquisition card; and the image acquisition card and output equipment are connected with a microprocessor; and an image processing unit and an analysis storing unit are arranged in the microprocessor. The utility model has high detection precision and can effectively inhibit and filter noise; and the detection result is convenient to convert and store.

Description

A kind of antibiotic residual quantity check and analysis device
Technical field
The utility model relates to a kind of microbiotic check and analysis device, specifically is a kind of antibiotic residual quantity check and analysis device based on machine vision that is applied in the animal food.
Background technology
Antibiotic residue in the animal-derived food can cause the crowd irritated allergic reaction, have the food chain of the carcinogenic and mutagenic threat of potential teratogenesis, pollution etc., caused great attention both domestic and external.In China, the problem of antibiotic residue happens occasionally.According to relevant research, teracycline antibiotic residues in 135 parts of fresh cow milks of sampling observation in 2002, aureomycin, terramycin, the residual recall rate of tetracycline are respectively 8%, 18%, 14%.People's health in the residues of antibiotics serious threat, has become we and problem to be solved.Therefore various countries formulate the residual examination criteria method of corresponding medicine one after another, and the advanced detecting instrument of encourage growth in order to analyze and to search the hazard factor in the food production, is implemented effectively to monitor, and guarantees food security and hygienic quality.
Traditional antibiotic residue buret dish detection method is directly measured with vernier caliper with the backboard face in calibrating, manually adds up and calculates, and precision is low, subjectivity is big and operate loaded down with trivial details.The instrument that uses cylinder-plate method to carry out the microbiotic evaluation is mainly used methods such as photoelectricity, scanner, CCD imaging at present, and other is furnished with special software and carries out Treatment Analysis.Domestic Related product has intelligent inhibition zone analyser, and the microorganism inhibition zone is system such as measurement and analysis automatically.Semi-automatic inhibition zone measuring systems such as 0SIRIS, SIRSCAN2000, BIOMIC have also been developed abroad.These long in system and method ubiquity processing times, specificity is strong, algorithm is simple, automaticity is not high, be difficult to problem such as handle complex situations, especially can't be applicable to domestic and international miscellaneous biological test antibiotic standard.So the applied for machines vision is carried out quantitative test, and judgements of testing of the corresponding statistics of design flow process, to solve variety of problems that above-mentioned classic method exists the particularly necessity that seems.
Summary of the invention
The purpose of this utility model is at the deficiencies in the prior art, and a kind of antibiotic residual quantity check and analysis device based on machine vision is provided.
The utility model comprises image acquisition units, graphics processing unit, analysis preservation unit.
Described image acquisition units comprises CCD camera, last light source, following light source, check-out console, image pick-up card.
Last light source is arranged on the oblique upper of check-out console, following light source be arranged on check-out console under, the position correspondence of emitted light beams on check-out console of last light source emitted light beams and following light source, the corresponding check-out console setting of the camera lens of CCD camera, the CCD camera links to each other with image pick-up card, and image pick-up card is connected with microprocessor with output device.Be provided with graphics processing unit in the microprocessor and analyze the preservation unit.
The utility model has the following advantages with respect to prior art:
(1) accuracy of detection height of the present utility model, the requirement in being up to state standards, resultant error is also within allowed band.
(2) the utility model can more effective inhibition, filtering noise, solve the non-uniform image segmentation problem of uneven illumination, the characteristic of utilizing multiresolution to resolve, on the approximate image of low resolution, detect, obtain the result fast, according to the resulting center of circle and diameter information high-resolution corresponding topical is accurately detected, improved detection efficiency and precision.
(3) result of the utility model detection stores by digitizing, can conveniently be transformed into various databases, print data etc., convenient management and Network Transmission.By revising statistics program, can be suitable for various other examination criterias.
(4) the utility model detection speed is fast, simple to operate, repeatability is strong, the error that factors such as subjectivity and fatigue cause when having avoided manual measurement.
Description of drawings
Fig. 1 is a structural representation of the present utility model.
Embodiment
As shown in Figure 1, a kind of antibiotic residual quantity check and analysis device comprises image acquisition units, graphics processing unit, analysis preservation unit.
Described image acquisition units comprises light source 1, following light source 2, check-out console 3, CCD camera 4, image pick-up card 5, adopts the TWIN agreement acquisition inhibition zone image with hardware independent.
Last light source 1 is arranged on the oblique upper of check-out console 3, following light source 2 be arranged on check-out console 3 under, the position correspondence of emitted light beams on check-out console 3 of last light source 1 emitted light beams and following light source 2, the corresponding check-out console 3 of the camera lens of CCD camera 4 is provided with, CCD camera 4 links to each other with image pick-up card 5, and image pick-up card 5 is connected with microprocessor 6 with output device 7.Be provided with graphics processing unit in the microprocessor 6 and analyze the preservation unit.
Above-mentioned graphics processing unit comprises: image pre-service, image segmentation, picture breakdown detect three modules.Above-mentioned pretreatment module is used filtering algorithm that image is carried out pre-service and is obtained succinct effectively target information; Above-mentioned image segmentation module has realized cutting apart of inhibition zone part in the image, has extracted the marginal information of inhibition zone; Above-mentioned picture breakdown detection module utilizes the round detection method under the multiresolution to obtain accurately and antibacterial circle diameter data fast.
Above-mentioned analysis is preserved the unit and is comprised: computer aided calculation and analysis, analysis result output and preservation.The aforementioned calculation machine is auxiliary to be calculated with the industry standard of analyzing according to the microbiotic detection to come data are carried out analyzing and processing.After collecting all plane datas, the highest and minimum antibacterial circle diameter of statistical computation, and outputting standard curve.Measure the antibacterial circle diameter data of sample, according to the residual value of typical curve conversion sample.Repeatedly measurement result averages as last testing result.Above-mentioned analysis result output and preservation specifically are to the form output of antibiotic residual quantity testing result with document printing, Excel chart etc.
During detection, the sample to be checked on the check-out console is through extractions, damping fluid mixing, homogeneous and step such as centrifugal, and formation is by sample liquid.Last light source and following light source send on the high-brightness white-light irradiating and detecting plate simultaneously, and the inhibition zone in the check-out console images among the high-speed camera CCD, and image pick-up card obtains the inhibition zone image, and the inhibition zone image is inputed in the microprocessor, carries out Flame Image Process and analysis.With document, the output of Excel diagrammatic form, output device can be display, printer etc. to final antibiotic residual quantity verification result by output device.

Claims (1)

1. an antibiotic residual quantity check and analysis device comprises image acquisition units, graphics processing unit, analysis preservation unit, and it is characterized in that: described image acquisition units comprises CCD camera, last light source, following light source, check-out console, image pick-up card; Last light source is arranged on the oblique upper of check-out console, following light source be arranged on check-out console under, the position correspondence of emitted light beams on check-out console of last light source emitted light beams and following light source, the corresponding check-out console setting of the camera lens of CCD camera, the CCD camera links to each other with image pick-up card, and image pick-up card is connected with microprocessor with output device; Be provided with graphics processing unit in the microprocessor and analyze the preservation unit.
CN2010201644658U 2010-04-20 2010-04-20 Device for detecting and analyzing antibiotic residual quantity Expired - Fee Related CN201622243U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010201644658U CN201622243U (en) 2010-04-20 2010-04-20 Device for detecting and analyzing antibiotic residual quantity

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010201644658U CN201622243U (en) 2010-04-20 2010-04-20 Device for detecting and analyzing antibiotic residual quantity

Publications (1)

Publication Number Publication Date
CN201622243U true CN201622243U (en) 2010-11-03

Family

ID=43025700

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010201644658U Expired - Fee Related CN201622243U (en) 2010-04-20 2010-04-20 Device for detecting and analyzing antibiotic residual quantity

Country Status (1)

Country Link
CN (1) CN201622243U (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015096345A1 (en) * 2013-12-23 2015-07-02 中国科学院自动化研究所 Forage detection system and method based on machine vision
CN106525855A (en) * 2016-12-07 2017-03-22 无锡艾科瑞思产品设计与研究有限公司 Residual quantity detection system for hospital plate washer

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015096345A1 (en) * 2013-12-23 2015-07-02 中国科学院自动化研究所 Forage detection system and method based on machine vision
CN106525855A (en) * 2016-12-07 2017-03-22 无锡艾科瑞思产品设计与研究有限公司 Residual quantity detection system for hospital plate washer

Similar Documents

Publication Publication Date Title
CN100480680C (en) Multiple spectrum meat freshness artificial intelligence measurement method and system
CN103674838B (en) A kind of fish fats content distribution detection method based on high light spectrum image-forming technology
CN202916213U (en) Gear defect detecting system based on computer vision
CN104256882B (en) Based on reconstituted tobacco ratio measuring method in the pipe tobacco of computer vision
CN101726493B (en) Method and device for detecting shrinkage and cracking performance of cement-based material
CN201788151U (en) Nondestructive detection device for detecting integrative quality of poultry
CN101776597A (en) Nondestructive detection method of total number of bacteria in livestock meat
CN104198325B (en) Stem ratio measuring method in pipe tobacco based on computer vision
CN202770842U (en) Urine analysis device
CN103278431A (en) On-line monitoring and analyzing method of lubrication oil wear particles based on video acquisition
CN108000239A (en) Digital control processing on-line detecting system
CN102928340A (en) Image analysis-based method and special equipment for simultaneously determining content of maceral and vitrinite reflectance of coal
CN201622243U (en) Device for detecting and analyzing antibiotic residual quantity
CN105466921A (en) Simultaneous detection method of many samples
CN109342378B (en) Colony growth state detection device and method based on multi-modal imaging technology
CN101021488A (en) Method and apparatus for detecting rice damage
CN109490491A (en) A kind of food safety integrated analysis device
CN202081105U (en) Fully closed antibiotic detection and analysis device
CN206603773U (en) The burn degree and area detection system measured based on blood erythrocyte concentration
CN102788796A (en) Nutrient diagnosis device and nutrient diagnosis method for nitrogen of crops based on multi-information integration of high spectral images and fluorescent images
CN100389312C (en) Method for evaluating resolution of video camera objectively
CN202956342U (en) Agricultural product transmission hyperspectral image acquisition test bed
CN106580328A (en) Burn degree and burn area detection system and method based on erythrocyte concentration measurement
CN115564990A (en) Agricultural product visual identification platform
CN105891148A (en) Method for measuring VFA concentration in anaerobic wastewater treatment process by means of near infrared spectrum

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20101103

Termination date: 20130420