CA2339965A1 - Method for automatically controlling and selecting the bodies of slaughtered poultry - Google Patents

Method for automatically controlling and selecting the bodies of slaughtered poultry Download PDF

Info

Publication number
CA2339965A1
CA2339965A1 CA002339965A CA2339965A CA2339965A1 CA 2339965 A1 CA2339965 A1 CA 2339965A1 CA 002339965 A CA002339965 A CA 002339965A CA 2339965 A CA2339965 A CA 2339965A CA 2339965 A1 CA2339965 A1 CA 2339965A1
Authority
CA
Canada
Prior art keywords
slaughtered poultry
color
selecting
automatically controlling
color light
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.)
Abandoned
Application number
CA002339965A
Other languages
French (fr)
Inventor
Peter Schimitzek
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.)
Csb-System Software-Entwicklung & Unternehmensberatung AG
Original Assignee
Individual
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
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=7878150&utm_source=***_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=CA2339965(A1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Individual filed Critical Individual
Publication of CA2339965A1 publication Critical patent/CA2339965A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02Food
    • G01N33/12Meat; Fish
    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22BSLAUGHTERING
    • A22B5/00Accessories for use during or after slaughtering
    • A22B5/0064Accessories for use during or after slaughtering for classifying or grading carcasses; for measuring back fat
    • A22B5/007Non-invasive scanning of carcasses, e.g. using image recognition, tomography, X-rays, ultrasound
    • AHUMAN NECESSITIES
    • A22BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22CPROCESSING MEAT, POULTRY, OR FISH
    • A22C21/00Processing poultry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46Measurement of colour; Colour measuring devices, e.g. colorimeters

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Food Science & Technology (AREA)
  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Zoology (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Pathology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biophysics (AREA)
  • Wood Science & Technology (AREA)
  • Analytical Chemistry (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Control Of Conveyors (AREA)
  • Control For Baths (AREA)
  • Sorting Of Articles (AREA)
  • Catching Or Destruction (AREA)
  • Processing Of Meat And Fish (AREA)
  • Feeding And Watering For Cattle Raising And Animal Husbandry (AREA)

Abstract

The invention describes a method for automatically controlling and selecting the bodies of slaughtered poultry. The invention aims at providing a very easy and cost-effective method for automatically controlling and selecting the bodies of slaughtered poultry. According to the invention, said aim is achieved in that the body of the slaughtered poultry to be controlled is selected by conducting color analysis of the light reflected from the visible surface parts, said light being detected as a diffuse color mixing light eliminating spatial contours using a measuring technique, wherein the measured value is used for selection as integrating value for the totality of visible surface parts.

Description

Method for Automatically Controlling and Selecting the Bodies of Slaughtered Poultry The invention describes a method for automatically controlling the bodies of slaughtered poultry which after slaughter, are transported past a control device by means of a conveyor device and are then selected by means of a triggered optical measurement that is a function of the control result.
In modern slaughterhouses, large quantities of poultry are slaughtered automatically. As a result, the assurance of quality control and the automatic selection and quality control that are required by this are of considerable significance. Only thus can it be assured that on the one hand, no unhealthy, damaged, or otherwise abnormal poultry reaches the market and on the other hand, the necessary product qualities for particular marketing paths can be presorted.
According to the International Patent Classification (IPC), the processing of slaughtered poultry bodies is classified in the class A22B 5/00.
The patent DE19619099 has disclosed the contact-free evaluation of slaughtered poultry bodies by means of image processing. In this connection, an optical image of the complete slaughtered poultry body is photographically evaluated and is adapted to models for parameter determination. In addition, there is a detection of defective regions of the poultry body such as differently colored image regions.

The disadvantage of this embodiment is the elaborate and cost-intensive photographic processing in order to detect the slaughtered poultry body or its body parts. The contour detection involves unnecessary error risks and decreases the reliability in the control of slaughtered poultry bodies.
Patent DE 196 37 234 A1 describes a process for on-line verification of the colour purity of structured or unstructured surfaces, The surfaces are captured by a video camera and the electronic signals received are evaluated by computer.
Simultaneously with the surfaces, color values of one or more patterned reference tables are captured, with the optical resolution of the capture devices set sufficiently low that the structure of the surfaces is not captured. The integral, specified color values of a surface are determined. Deviations of the specific, specified surface colours from a nominal/reference value can be used, for example, to grade the quality of textiles or of meat as well. The use of reference tables, the determination of image points of equal brightness for red, for green, and for blue, demand correspondingly high effort to perform a color comparison.
Simple and cost-effective selection of damaged or abnormal slaughter poultry is not possible with this process.
The object of the invention is to produce a very simple and inexpensive method for automatically controlling and selecting slaughtered poultry bodies.
The object is attained by means of the features disclosed in claim 1. Preferred modifications ensue from the dependent claims.
2 The essence of the invention lies in the color analysis of the mixed color light that is backscattered by the slaughtered poultry body to be controlled and is received by means of a color light sensor and the subsequent computer-executed evaluation of the color data for the required selection. Through the use of a diffuse mixed color light, all predetermined visible surface regions are detected simultaneously and can be evaluated by means of a color analysis. Consequently, the continuing image processing of an optical picture is eliminated. In this connection, the invention makes use of the knowledge that in slaughtered poultry bodies which are essentially alike, the reliable selection of very abnormal body regions such as breast, wing, and leg is of primary interest.
-2a-In a first variant, this mixed color light is generated without an optical image by means of the objectiveless reception of the diffusely backscattered light through a predetermined limiting aperture in front of the slaughtered poultry body. In a second variant, an illustrative image of the slaughtered poultry body is captured by a color camera and the computer-based production of the color image in the computer, which simply selects the predetermined region by means of software apertures and respectively accumulates only the individual color components, by means of which the mixed color light is consequently produced simply by means of software. It is advantageous to use a narrow band barrier filter to suppress a monochromatic background.
In principle, it is conceivable to~link suitable threshold switches to each piece of color data via logical subassemblies in order to achieve the evaluation. The computer preferably used for evaluation and selection control includes only the evaluation routines and in the second variant, also includes the routines for the accumulation within the boundaries of the predetermined region as well as optionally for control purposes, also includes an intermediate memory region for a color image region. In the second variant, the accumulation of the respective color components is executed within the -preferably rectangular - boundaries of the color image region directly during the feeding of this image from the color camera. In principle, therefore, a micro-controller is sufficient as the computer. In particular, photographic image processing routines and their continuous performance parameters are not required.
3 Preferably, the color signals (red, green, blue) used by conventional color light sensors or color cameras which are close to the spectral sensitivities of the human eye are used for the color analysis of the mixed color light.
However, it is also conceivable to use other spectral regions. The individual color signals of the mixed color light determine the color in the chromatic circle by means of their relative components and determine the color saturation and luminosity by means of their absolute intensity. With the color signals or alternatively with the color, color saturation, and luminosity, every detectable state of the mixed light can simply be described analytically, preferably vectorially in a mufti-dimensional space. In particular, definite spatial regions can be defined which correspond to the selection criteria. Such selection criteria are, for example, missing body parts, burns, reddenings, missing skin, protruding bones, etc.
The totality of all the spatial regions should preferably fill the entire space without overlaps. If parameters of the analyzed mixed color light lie within a spatial region of these selection criteria, then the associated selection or identification, screening, partial processing is activated.
It is also conceivable that for each measurement and color, a color balancing is executed by means of the integral average of a multitude of slaughtered poultry bodies detected - white balancing - and preferably in alternation, by means of the integral average of only the background - black balancing -, by virtue of the fact that this integral average is respectively treated before the evaluation as the norming quantity - which is used as a
4 divisor - or as an offset - which is subtracted from the measurement value ahead of time. As a result, fluctuations in the light conditions or characteristic values do not have a significant effect on the evaluation result. The norming produces a projection of the evaluation space onto an associated evaluation plane, preferably color and color saturation.
There is also the possibility, through the use of a specially adapted aperture, of using a number of color light sensors which are each associated with a particular body part or body section of the slaughtered animal (breast, left leg, right wing). With the use of a color camera, the selection of the different body parts and body sections to be controlled can take place by means of a number of software apertures.
In a favorable manner, the control device could if necessary also include two similar arrangements of color light sensors which are disposed opposite from each other and thus simultaneously control the backscattered mixed color light from the front and back of the slaughtered poultry body.
Another possible embodiment of the control device could include the additional rear disposition of an optical mirror opposite from the color light sensor so that at the same time, the backscattered mixed color light can be received and controlled from two opposing sides of the slaughtered poultry body.
The invention will be explained in more detail as an exemplary embodiment in Fig. 1 as variant 1 with optical apertures and in Fig. 2 as variant 2 with software apertures.
According to Fig. l, the device for automatically controlling and selecting slaughtered poultry bodies with optical apertures is comprised of an illumination device 1 that emits white light, an aperture 2 in front of the slaughtered poultry body, which narrowly encompasses the visible outline, an objectiveless color light sensor 3, which in a position-triggered manner, receives the diffuse mixed color light backscattered by the slaughtered poultry body and whose color data are transmitted to a computer 5 via a line 4. The computer 5 executes a color analysis 6 of the backscattered mixed color light based on the color signals used. After internal evaluation 7 of the color analysis according to selection criteria 8, a control signal 9 is emitted in accordance with the respective selection type associated with the slaughtered poultry body in order to trigger selection devices in the technological process.
According to Fig. 2, a possible variant of the device for automatically controlling and selecting slaughtered poultry bodies with software apertures 10 is comprised of an illumination device 1 that emits white light, a color camera 11 with a color sensor array whose color image is transmitted to a computer 5 via a line 4. A predetermined region of the color image is selected by means of a software aperture 10 when being fed into the computer 5 and the respective color data are accumulated in a color data memory 12. This can advantageously occur in line-by-line transmission of the color image if, by means of suitable counters, a rectangular region is selectively filtered with regard to lines/columns as a software aperture 10. The computer S executes a color analysis 6 of the represented mixed color light based on the color data memories 12. After internal evaluation 7 of the color analysis 6 according to the selection criteria 8, a control signal 9 is emitted in accordance with the selection type associated with the respective slaughtered poultry body in order to trigger selection devices in the technological process.

Reference Numerals Used 1 illumination device 2 aperture 3 color light sensor 4 line computer 6 color analysis 7 evaluation 8 selection criteria 9 control signal software aperture 11 color camera 12 color data memory

Claims (7)

Claims
1. A method for automatically controlling and selecting slaughtered poultry bodies by means of color analysis of the light backscattered from the visible surface parts, characterized in that the diffuse mixed color light which eliminates the spatial contour is detected using measurement technology and its measurement value is used for selection as an integration value over the entirety of the visible surface parts.
2. The method for automatically controlling and selecting slaughtered poultry bodies according to claim 1, characterized in that mixed color light passing through a predetermined aperture (2) is objectivelessly received by a color light sensor (3).
3. The method for automatically controlling and selecting slaughtered poultry bodies according to claim 1, characterized in that the color image captured by a color camera (11) via predetermined software apertures (10) is accumulated into a mixed color light in the color data memory (12).
9. The method for automatically controlling and selecting slaughtered poultry bodies according to one of claims 1 to 3, characterized in that each measurement and color is preceded by an integral balancing over a multitude of measurements.
5. The method for automatically controlling and selecting slaughtered poultry bodies according to one of claims 1 to 4, characterized in that a measurement takes place on a number of significant different body parts.
6. The method for automatically controlling and selecting slaughtered poultry bodies according to one of claims 1 to 5, characterized in that the control device is comprised of two similar devices with a color light sensor (3) or color camera (11), which are disposed opposite each other and thus simultaneously control the front and back of the slaughtered poultry body.
7. The method for automatically controlling and selecting slaughtered poultry bodies according to one of claims 1 to 5, characterized in that the control device has the additional rear disposition of an optical mirror opposite from the color light sensor so that at the same time, the backscattered mixed color light can be received and controlled from two opposite sides of the slaughtered poultry body.
CA002339965A 1998-08-20 1999-06-29 Method for automatically controlling and selecting the bodies of slaughtered poultry Abandoned CA2339965A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE19837804.1 1998-08-20
DE19837804A DE19837804C1 (en) 1998-08-20 1998-08-20 Automated quality control of poultry carcases by reflected light analysis
PCT/DE1999/001938 WO2000010397A1 (en) 1998-08-20 1999-06-29 Method for automatically controlling and selecting the bodies of slaughtered poultry

Publications (1)

Publication Number Publication Date
CA2339965A1 true CA2339965A1 (en) 2000-03-02

Family

ID=7878150

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002339965A Abandoned CA2339965A1 (en) 1998-08-20 1999-06-29 Method for automatically controlling and selecting the bodies of slaughtered poultry

Country Status (10)

Country Link
EP (1) EP1104995B1 (en)
CN (1) CN1303234A (en)
AT (1) ATE222059T1 (en)
CA (1) CA2339965A1 (en)
DE (2) DE19837804C1 (en)
DK (1) DK1104995T3 (en)
EA (1) EA200100254A1 (en)
ES (1) ES2156848T3 (en)
PL (1) PL344789A1 (en)
WO (1) WO2000010397A1 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1321122A1 (en) * 2001-12-21 2003-06-25 woresan GmbH Medicine and care product on basis of sourdough and process for its preparation
PL2599387T3 (en) * 2011-12-02 2019-10-31 Nordischer Maschinenbau Measurement device for individual identification of physical features of butchered animals conveyed in a row and processing equipment including at least one such measurement equipment
DE202014005891U1 (en) * 2014-07-22 2015-10-27 Csb-System Ag Device for optical sex recognition of a slaughter pig
EP3275313B1 (en) 2016-07-29 2024-02-14 Nordischer Maschinenbau Rud. Baader GmbH + Co. KG Device for detecting and evaluating product-specific information of products of the food processing industry, and system comprising such a device and method of processing products of the food processing industry
US10654185B2 (en) 2016-07-29 2020-05-19 John Bean Technologies Corporation Cutting/portioning using combined X-ray and optical scanning
EP3692797A1 (en) * 2019-02-11 2020-08-12 Nordischer Maschinenbau Rud. Baader Gmbh + Co Kg Device and method for automatically obtaining breast fillets of poultry carcasses or parts thereof

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4309802A1 (en) * 1993-03-28 1994-09-29 Robert Prof Dr Ing Massen Color control close to production with imaging sensors
DE4408604C2 (en) * 1994-03-08 1996-05-02 Horst Dipl Ing Eger Procedure for assessing carcasses
DE19619099C1 (en) * 1996-05-06 1997-11-13 Horst Eger Non-contact process for determination of leading characteristics of poultry cadaver
DE19637234C2 (en) * 1996-09-13 2001-08-02 Michael F Braun Procedure for checking the color purity of surfaces

Also Published As

Publication number Publication date
DK1104995T3 (en) 2002-12-16
EA200100254A1 (en) 2001-08-27
ATE222059T1 (en) 2002-08-15
DE59902364D1 (en) 2002-09-19
ES2156848T3 (en) 2002-12-16
EP1104995A1 (en) 2001-06-13
CN1303234A (en) 2001-07-11
EP1104995B1 (en) 2002-08-14
WO2000010397A1 (en) 2000-03-02
DE19837804C1 (en) 2000-01-13
PL344789A1 (en) 2001-11-19
ES2156848T1 (en) 2001-08-01

Similar Documents

Publication Publication Date Title
CN108445007B (en) Detection method and detection device based on image fusion
US20070111648A1 (en) Artificial vision inspection method and system
US20200018707A1 (en) Appearance inspection device, lighting device, and imaging lighting device
WO2008016309A1 (en) Multi-modal machine-vision quality inspection of food products
EP3080788B1 (en) Flame detection system and method
NZ517247A (en) Method and apparatus for determining quality properties of fish
EP0402877A1 (en) Method and apparatus for photometric determination of properties of meat pieces
EP1836488A1 (en) Sensing in meat products and the like
CN105928895B (en) Systems and methods for wavelength spectrum analysis for detecting various gases using treated tape
KR20150041607A (en) Detection of rain drops on a plate by means of a camera and illumination
CN108776143A (en) A kind of online vision inspection apparatus and method of the small stain of egg eggshell surface
CA2339965A1 (en) Method for automatically controlling and selecting the bodies of slaughtered poultry
KR20110008489A (en) Determining system for meat and determining method for meat using the same
CN101915823B (en) Ultraviolet detection method for shell bacteria-carrying eggs and device thereof
CA2601490C (en) Methods for detecting blue stain in lumber
EP2065676A1 (en) Methods for detecting compression wood in lumber
CA2601486C (en) Methods for detecting compression wood in lumber
JP3381187B2 (en) Inspection method for internal defects of chicken eggs
KR100509894B1 (en) Apparatus for detecting surface- and holed defects using the multiple illumination band and color CCD camera
JP2018064501A (en) Bone part determination device for meat and bone part determination method for meat
CA2455812A1 (en) Method and means for detecting internal larval infestation in granular material
EP3349600B1 (en) Stereoscopic system and method for quality inspection of cigarettes in cigarette packer machines
DK181010B1 (en) Method for processing poultry
JPH1156159A (en) Method and device for inspecting egg
Chen et al. Instrumental system for online inspection of poultry carcasses

Legal Events

Date Code Title Description
EEER Examination request
FZDE Discontinued