EP2823898A1 - Method for the temperature-difference-based separation of fruits with stones and fruits without stones - Google Patents

Method for the temperature-difference-based separation of fruits with stones and fruits without stones Download PDF

Info

Publication number
EP2823898A1
EP2823898A1 EP13751195.2A EP13751195A EP2823898A1 EP 2823898 A1 EP2823898 A1 EP 2823898A1 EP 13751195 A EP13751195 A EP 13751195A EP 2823898 A1 EP2823898 A1 EP 2823898A1
Authority
EP
European Patent Office
Prior art keywords
fruits
stone
temperature
fruit
stones
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.)
Withdrawn
Application number
EP13751195.2A
Other languages
German (de)
French (fr)
Other versions
EP2823898A4 (en
Inventor
Antonio MADUEÑO LUNA
Rafael PLEITE GUTIÉRREZ
José Miguel MADUEÑO LUNA
Miriam LÓPEZ LINEROS
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.)
Universidad de Sevilla
Original Assignee
Universidad de Sevilla
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 Universidad de Sevilla filed Critical Universidad de Sevilla
Publication of EP2823898A1 publication Critical patent/EP2823898A1/en
Publication of EP2823898A4 publication Critical patent/EP2823898A4/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34Sorting according to other particular properties
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition

Definitions

  • the object of the present invention is a procedure for the separation of fruit with stones from those that have had their stones extracted, based on the temperature difference of the fruit after being heated for the same time, depending on whether the said stone is present or not.
  • the separation is carried out after an analysis through artificial vision with thermal cameras, or through the use of infra-red contact sensors.
  • the separation of fruit with and without stones from fruit without stones requires a procedure that allows the two to be distinguished.
  • the extraction machines have an appreciable error rate, and often the whole stone or part of a stone is left inside the fruit.
  • the separation systems habitually used depend on the type of fruit.
  • table olives for example, float tanks are normally used, were the olives with stones go to the bottom of the tank and the olives without stones remain floating.
  • This system which is widely used in the table olive sector, has some serious drawbacks because whether the olives float or not depends on the concentration of salt in the liquid in the tank and its temperature and these are parameters that are usually uncontrolled, resulting in an appreciable error rate and the need for human operators to finish the classification task manually after using the tank.
  • the use of the thermal gradient, obtained on heating the fruit, can be a cheap, efficient alternative that has the best of both systems, its use can be generalised, for use not only with table olives, but also for a wide variety of fruit with stones.
  • the company Multiscan Technologies S.L. markets a model (X20V B65) based on x-rays, that detects stones and possible contaminants in stoned (pitted) olives.
  • the fruit separation process starts with fruit coming from a pitting machine that extracts the stones. As this extraction process sometimes fails, leaving whole or parts of stones in the fruit, a heat source is used to separate the fruit that still has a stone inside.
  • the heat source raises the temperature of the fruit to values that are appreciably different in the case of fruit containing stones due to their different specific heat capacities.
  • the means of discernment can be through an image, obtained by a thermal camera, that is processed using an artificial vision system, which determines from its image whether a fruit has a stone inside or not, according to its temperature.
  • Another method is to analyse the surface temperature of each piece of fruit using in infrared system or by physical contact with a thermocouple type sensor, e.g. PT100 or similar.
  • an actuator system extracts the fruit with stones from the conveyor belt.
  • Figure 1 block diagram of procedure function blocks.
  • the diagrams show the different blocks involved in the application of this method: (1) fruit to be classified that may contain a whole stone or part of a stone, (2) the heating of the fruit by means of a heat source for a time that will depend on the nature of the fruit: (size, variety, condition, etc.), (3) an image capture and digitalization system based on a thermal imaging camera, infrared temperature sensors or contact temperature sensors, (4) analysis of the thermal image of the fruit or (5) of the value obtained from the infrared or contact temperature sensor, (4) and (5) PC based or autonomous system with FPGA, DSP or microcontroller, (6) a segmentation of the image in colour planes to quantitatively determine the temperature in each zone, allowing the discernment of fruit without stone, fruit with complete stone or fruit with part of a stone (splinters), (7) separation in real time of the fruit with and without stones.
  • Figure 2 outline of the physical implementation of the machine that separates fruit by temperature difference.
  • the olives arriving from a conventional pitting machine circulate on a conveyor belt that takes them through an (electrical or microwave) oven, applying heat for several seconds raising the temperature by different amounts for the olives that contain a stone or part of a stone and those that do not.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Investigating Or Analyzing Materials Using Thermal Means (AREA)
  • Radiation Pyrometers (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention relates to a method for separating fruits with stones from fruits from which the stone has been removed, based on the difference in the temperature reached by the fruits when heated for the same length of time, determining whether or not a full or partial stone is present. The fruits are separated following analysis by means of computer vision with a thermal camera, or using a contact or infrared temperature sensor.

Description

    Object of the invention
  • The object of the present invention is a procedure for the separation of fruit with stones from those that have had their stones extracted, based on the temperature difference of the fruit after being heated for the same time, depending on whether the said stone is present or not. The separation is carried out after an analysis through artificial vision with thermal cameras, or through the use of infra-red contact sensors.
  • State of the art
  • The separation of fruit with and without stones from fruit without stones requires a procedure that allows the two to be distinguished. The extraction machines have an appreciable error rate, and often the whole stone or part of a stone is left inside the fruit. The separation systems habitually used depend on the type of fruit. For table olives, for example, float tanks are normally used, were the olives with stones go to the bottom of the tank and the olives without stones remain floating. This system, which is widely used in the table olive sector, has some serious drawbacks because whether the olives float or not depends on the concentration of salt in the liquid in the tank and its temperature and these are parameters that are usually uncontrolled, resulting in an appreciable error rate and the need for human operators to finish the classification task manually after using the tank.
  • Another existing technique, is the use of X-rays. This system can give good results, but it is expensive, the fruit has to be subjected to radiation and it requires special shielding for handling in the factory. That is why it is not used in the table olive sector. There is only one company in Spain that markets such an X-ray system: Multiscan Technologies S.L. with its model X20V B65.
  • The use of the thermal gradient, obtained on heating the fruit, can be a cheap, efficient alternative that has the best of both systems, its use can be generalised, for use not only with table olives, but also for a wide variety of fruit with stones.
  • There are no patented industrial procedures to date like the one described herein.
  • On reviewing the state of the art, we find a variety of inventions specific to the table olive:
  • Associated with separation by density:
  • P8700509 "Machine for washing the olive separating heavy bodies and impurities".
  • P8801897 "Installation and procedure for the washing of olives, including the separation of stones and accompanying foreign objects".
  • P200002328 "Modular kit for the cleaning and drying of olives".
  • U0241663 "Device for the cleaning of olives".
  • P9102361 "Machine for washing olives".
  • P200800763 "Collector of suspended solids".
  • A01D1/00 "Separation device by floating for fruit collectors".
  • Associated with the use of x-rays:
  • The company Multiscan Technologies S.L. markets a model (X20V B65) based on x-rays, that detects stones and possible contaminants in stoned (pitted) olives.
  • Description of the invention
  • The fruit separation process starts with fruit coming from a pitting machine that extracts the stones. As this extraction process sometimes fails, leaving whole or parts of stones in the fruit, a heat source is used to separate the fruit that still has a stone inside. The heat source raises the temperature of the fruit to values that are appreciably different in the case of fruit containing stones due to their different specific heat capacities.
  • After an appropriate interval of time, a difference of up to several degrees Celsius can be observed. To define the time required, previous laboratory adjustments are made to calibrate the heat source according to the type of fruit to be classified and its variety, always taking care that this heating does not affect the texture or organoleptic features. The empirical values that are obtained depend on each type of fruit and/or their variety, and are added as configuration parameters to the sorting machine that performs the separation according to this thermal gradient so as to make the process efficient from a commercial standpoint, The fruit is transported on a multiple track conveyor belt which allows a large number of items to be passed in front of a thermal analysis system. The means of discernment can be through an image, obtained by a thermal camera, that is processed using an artificial vision system, which determines from its image whether a fruit has a stone inside or not, according to its temperature. Another method is to analyse the surface temperature of each piece of fruit using in infrared system or by physical contact with a thermocouple type sensor, e.g. PT100 or similar.
  • In both cases, once the decision has been made, an actuator system extracts the fruit with stones from the conveyor belt.
  • Description of the figures
  • Figure 1 , block diagram of procedure function blocks.
  • The diagrams show the different blocks involved in the application of this method: (1) fruit to be classified that may contain a whole stone or part of a stone, (2) the heating of the fruit by means of a heat source for a time that will depend on the nature of the fruit: (size, variety, condition, etc.), (3) an image capture and digitalization system based on a thermal imaging camera, infrared temperature sensors or contact temperature sensors, (4) analysis of the thermal image of the fruit or (5) of the value obtained from the infrared or contact temperature sensor, (4) and (5) PC based or autonomous system with FPGA, DSP or microcontroller, (6) a segmentation of the image in colour planes to quantitatively determine the temperature in each zone, allowing the discernment of fruit without stone, fruit with complete stone or fruit with part of a stone (splinters), (7) separation in real time of the fruit with and without stones.
  • Figure 2, outline of the physical implementation of the machine that separates fruit by temperature difference. (8) single track conveyor belt, (9) fruit at room temperature, (10) heat source, (11) direction of movement of fruit-carrying conveyor belt, (12) actuator that extracts the heated fruit with stones from the conveyor belt, (13) heated fruit with stones extracted from the conveyor belt, (14) heated fruit without stone.
  • Preferred embodiment of the invention for the particular case of the table olive a) Fruit:
  • The olives arriving from a conventional pitting machine, circulate on a conveyor belt that takes them through an (electrical or microwave) oven, applying heat for several seconds raising the temperature by different amounts for the olives that contain a stone or part of a stone and those that do not.
  • b) Temperature system:
    • b1) If the temperature of each olive is acquired by infrared, or contact, sensors, the decision-making system (PC, FPGA or microcontroller) resolves the separation, normally acting on a pneumatic system that eliminates the olives with stones from the conveyor belt.
    • b2) If the temperature is acquired by a thermal imaging camera, it will use an image processing system that will allow the elimination of the olives with stones using a, preferably pneumatic, actuator. The decision-making system again will be a PC, FPGA or microcontroller.
  • As a non-limiting illustrative example, with a conveyor belt speed of 1 cm/s, a power of 1000 W in microwaves and an exposition of 5 seconds, variations of 4 °C are found in the manzani variety of olive measuring 18-20 mm. The temperatures achieved are no more than 40 °C so the olive does not suffer deterioration in quality at any time.
  • With a 20 line conveyor belt and pneumatic separation, a performance of 1,200 olives/minute is achieved.

Claims (3)

  1. Process for separation by temperature difference between fruits with a stone and fruits without a stone characterized in that it comprises:
    a) use of fruits to classify, which may not contain a stone or contain it either whole or partially.
    b) a heating of the fruits with a source of heat during a time which will depend on their nature: (size, variety, condition, etc.) and which does not affect the organoleptic characteristics of the fruit nor generate deterioration or losses in quality.
    c) a temperature measurement system based on infrared temperature sensors, contact temperature sensors or by a thermographic camera.
    d) the processing of temperature values of the thermal image sensors of the olives with a P.C. or in an autonomous system with FPGA, DSP or Microcontroller.
    e) in the case of a thermal image, a segmentation of the image in colour plans, to quantitatively determine the temperature in each area making it possible to distinguish between fruits without a stone, fruits with a stone or fruits with a piece of stone (splinters).
    f) a non-linear adjustment of a trained neuronal network to perform the selection in real time as it makes the fruits pass at a certain speed through the temperature measurement part.
  2. Process for separation by temperature difference between fruits with a stone and fruits without a stone according to claim 1, characterised in that it avoids the typical errors of the standard density-separation systems in flotation tanks, (influence of the temperature, variation in salt concentration, incapacity to differentiate those fruits with pieces of stone).
  3. Process for separation by temperature difference between fruits with a stone and fruits without a stone according to claim 1, characterised in that x-rays are not used for the classification, which allows greater safety in the use and the non-exposure of food to radiation.
EP13751195.2A 2012-02-21 2013-02-20 Method for the temperature-difference-based separation of fruits with stones and fruits without stones Withdrawn EP2823898A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ES201200160A ES2423847A1 (en) 2012-02-21 2012-02-21 Method for the temperature-difference-based separation of fruits with stones and fruits without stones
PCT/ES2013/000040 WO2013124497A1 (en) 2012-02-21 2013-02-20 Method for the temperature-difference-based separation of fruits with stones and fruits without stones

Publications (2)

Publication Number Publication Date
EP2823898A1 true EP2823898A1 (en) 2015-01-14
EP2823898A4 EP2823898A4 (en) 2015-12-16

Family

ID=49005041

Family Applications (1)

Application Number Title Priority Date Filing Date
EP13751195.2A Withdrawn EP2823898A4 (en) 2012-02-21 2013-02-20 Method for the temperature-difference-based separation of fruits with stones and fruits without stones

Country Status (3)

Country Link
EP (1) EP2823898A4 (en)
ES (1) ES2423847A1 (en)
WO (1) WO2013124497A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3806723A4 (en) * 2018-06-12 2022-02-23 H.T.B Agri Ltd. A system, method and computer product for real time sorting of plants

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016056009A1 (en) * 2014-10-07 2016-04-14 The State Of Israel, Ministry Of Agriculture & Rural Development, Agricultural Research Organization (Aro) (Volcani Center). Grading peanuts by thermal imaging

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2697450A1 (en) * 1992-10-30 1994-05-06 Felter Christian Fruit or vegetables sorting method for use on conveyor - using video camera to detect variations of infra red radiation from surface of object on conveyor.
US5659624A (en) * 1995-09-01 1997-08-19 Fazzari; Rodney J. High speed mass flow food sorting appartus for optically inspecting and sorting bulk food products

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3806723A4 (en) * 2018-06-12 2022-02-23 H.T.B Agri Ltd. A system, method and computer product for real time sorting of plants

Also Published As

Publication number Publication date
EP2823898A4 (en) 2015-12-16
WO2013124497A1 (en) 2013-08-29
ES2423847A1 (en) 2013-09-24

Similar Documents

Publication Publication Date Title
Huang et al. Detection of insect-damaged vegetable soybeans using hyperspectral transmittance image
Nandi et al. Computer vision based mango fruit grading system
Senni et al. On-line automatic detection of foreign bodies in biscuits by infrared thermography and image processing
EP2823898A1 (en) Method for the temperature-difference-based separation of fruits with stones and fruits without stones
JP2016138789A (en) Spectral imaging system
MX2016013869A (en) Shrimp processing system and methods.
Thinh et al. Mango classification system based on machine vision and artificial intelligence
EP3409384B1 (en) System for detecting, removing, transferring, and retrieving incompletely dried raw material
Nandini et al. A review on applications of machine vision systems in industries
Turgut et al. Potential of image analysis based systems in food quality assessments and classifications.
KR101706065B1 (en) Produce defect inspection device and system
CN104089925A (en) Hyperspectral imaging-based Target area extraction method for detecting shrimp quality
Tahir et al. Rice grading using image processing
JP2002205019A (en) Automatic sorting device
Bautista et al. Automated sorter and grading of tomatoes using image analysis and deep learning techniques
Ahmad et al. Development of automatic grading machine prototype for citrus using image processing
Roy et al. Bruise detection in apples using infrared imaging
CN105403675A (en) Food foreign matter detection apparatus
EP3133389B1 (en) Method and device for analyzing the composition of a grain-mog mixture
RU2019104722A (en) MEASURING DEVICE FOR MULTI-SPECTRAL MEASUREMENT OF QUALITATIVE CHARACTERISTICS OR DEFECTS OF PRODUCTS AND APPROPRIATE METHOD
Swarnalakshmi et al. A review on fruit grading systems for quality inspection
Meinlschmidt et al. Detection of foreign substances in food using thermography
Jayas The role of sensors and bio-imaging in monitoring food quality
Lee et al. Hyperspectral near-infrared reflectance imaging for detection of defect tomatoes
JP7248316B2 (en) TOFU INSPECTION DEVICE, TOFU MANUFACTURING SYSTEM, TOFU INSPECTION METHOD, AND PROGRAM

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20140922

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

DAX Request for extension of the european patent (deleted)
RA4 Supplementary search report drawn up and despatched (corrected)

Effective date: 20151117

RIC1 Information provided on ipc code assigned before grant

Ipc: B07C 5/34 20060101AFI20151111BHEP

Ipc: G06K 9/66 20060101ALI20151111BHEP

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20160615