CN111453249A - Intelligent kitchen garbage classification barrel based on image analysis - Google Patents

Intelligent kitchen garbage classification barrel based on image analysis Download PDF

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Publication number
CN111453249A
CN111453249A CN202010200752.8A CN202010200752A CN111453249A CN 111453249 A CN111453249 A CN 111453249A CN 202010200752 A CN202010200752 A CN 202010200752A CN 111453249 A CN111453249 A CN 111453249A
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China
Prior art keywords
garbage
image
rubbish
image display
barrel cover
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Withdrawn
Application number
CN202010200752.8A
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Chinese (zh)
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不公告发明人
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Hangzhou Jingyi Intelligent Science and Technology Co Ltd
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Hangzhou Jingyi Intelligent Science and Technology Co Ltd
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Application filed by Hangzhou Jingyi Intelligent Science and Technology Co Ltd filed Critical Hangzhou Jingyi Intelligent Science and Technology Co Ltd
Priority to CN202010200752.8A priority Critical patent/CN111453249A/en
Publication of CN111453249A publication Critical patent/CN111453249A/en
Withdrawn legal-status Critical Current

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00—Refuse receptacles; Accessories therefor
    • B65F1/14—Other constructional features; Accessories
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00—Refuse receptacles; Accessories therefor
    • B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00—Refuse receptacles; Accessories therefor
    • B65F1/14—Other constructional features; Accessories
    • B65F1/16—Lids or covers
    • B65F1/1623—Lids or covers with means for assisting the opening or closing thereof, e.g. springs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G06F3/04845—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00—Equipment of refuse receptacles
    • B65F2210/138—Identification means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00—Equipment of refuse receptacles
    • B65F2210/139—Illuminating means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00—Equipment of refuse receptacles
    • B65F2210/176—Sorting means
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W30/00—Technologies for solid waste management
    • Y02W30/10—Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Geometry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Processing Of Solid Wastes (AREA)
  • Refuse Collection And Transfer (AREA)

Abstract

The invention discloses an intelligent garbage classification can based on image analysis, which comprises a garbage classification can, an electrically controlled can cover and an electronic control device, wherein a processor of the electronic control device, a camera, an image display, a lighting white light source, a button and a can cover driving module are connected with the processor, and kitchen waste is arranged in the processorAn identification algorithm comprising the steps of: (1) the user places the garbage on the barrel cover and presses the button; (2) the camera collects an image f (x, y) of the garbage on the barrel cover; (3) the area of the extracted pixel is larger than ATLuminance region R ofI iAnd displaying on an image display to prompt a user to clean; (4) the area of the extracted pixel is larger than ATSaturation region R ofS jAnd displaying on an image display to prompt a user to clean; (5) the barrel cover driving module opens the barrel cover, and the garbage falls into the garbage classification barrel; (6) closing the barrel cover and finishing the garbage throwing.

Description

Intelligent kitchen garbage classification barrel based on image analysis
Technical Field
The invention relates to an intelligent kitchen garbage classification barrel based on image analysis, and belongs to the field of image processing and garbage classification processing.
Background
The garbage classification is about the living environment of the people in the future, and about the safety of air resources, water resources and soil resources. In the past, the mode of garbage disposal is very extensive, and is either buried or subjected to garbage incineration, or is directly stacked in a garbage yard, and the garbage undoubtedly can cause pollution to air, water and land, and buries huge hidden dangers for the future living environment of human beings. Fortunately, all countries around the world are aware of this problem and are beginning to implement garbage classification measures. Garbage classification management methods are established and implemented everywhere, and garbage is put in according to types to be properly treated or recycled.
At present, garbage throwing points of a community are all replaced by garbage cans which are provided with detailed garbage classification identifiers and can be closed. Correspondingly, a management method is matched: and releasing the garbage for throwing at a fixed time, and providing a specially-assigned person for supervision. Obviously this kind of mode has the fixed drawback that drops in with personnel input greatly of time, is the transition scheme at present stage, and future needs degree of automation height, the intelligent waste classification bucket of dropping in at any time.
Disclosure of Invention
The invention aims to solve the problem of the existing garbage classification putting, and provides an intelligent kitchen garbage classification barrel based on image analysis.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an intelligent kitchen garbage classification barrel based on image analysis comprises a garbage classification barrel, wherein an electrically controlled barrel cover is arranged at the top of the garbage classification barrel, the barrel cover can spread garbage when closed, the spread garbage falls into the garbage classification barrel when opened, the intelligent kitchen garbage classification barrel further comprises an electronic control device, the electronic control device comprises a processor for performing centralized control, and a camera, an image display, an illumination white light source, a button and a barrel cover driving module which are connected with the processor, the camera, the image display and the illumination white light source are arranged above the barrel cover, the camera is used for collecting images of the poured garbage, the image display is used for displaying processed images and feedback information, the illumination white light source is used for supplementing illumination, and the button is arranged on the garbage classification barrel, the garbage can is used for requesting garbage throwing, the can cover driving device is used for opening and closing the can cover, a kitchen garbage recognition algorithm is arranged in the processor, and the kitchen garbage recognition algorithm comprises the following steps:
(1) the user uniformly places the garbage on the barrel cover and presses the button;
(2) the processor acquires an image f (x, y) of the garbage on the barrel cover through the camera, wherein x and y are pixel coordinates;
(3) calculating the brightness I (x, y) of the image f (x, y), extracting the brightness I (x, y)>ITEtching, then performing region segmentation, and extracting pixel area larger than ATLuminance region R ofI iI =1,2,3 …, the processor converting the luminance area RI iSuperimposed on an image f (x, y) and displayed on said image display, and prompting the user to clean, wherein ITAs a brightness threshold value, ATIs an area threshold;
(4) calculating the color saturation S (x, y) of the image f (x, y), extracting the color saturation S (x, y)>STEtching, then performing region segmentation, and extracting pixel area larger than ATSaturation region R ofS jJ =1,2,3 …, the processor converting the saturation region RS jSuperimposed on the image f (x, y) and displayed on said image display, and prompting the user to clean, wherein STIs a color saturation threshold;
(5) and if the luminance region R is not detected in steps (3) and (4)I iAnd a saturation region RS jIf the garbage bin cover is opened through the bin cover driving module, the garbage falls into the garbage sorting bin;
(6) and the processor closes the barrel cover to finish garbage throwing.
The invention has the following beneficial effects: 1, garbage can be thrown at any time without setting fixed time; 2, no special person is needed to supervise the operation, and the garbage is intelligently classified and identified.
Drawings
FIG. 1 is an external view of an intelligent trash sorting bin;
FIG. 2 is a flow chart of a kitchen waste recognition algorithm.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
referring to fig. 1-2, an intelligent kitchen garbage classification barrel based on image analysis comprises a garbage classification barrel 1, wherein the garbage classification barrel 1 is used for storing garbage of a specific category, and detailed garbage classification information can be posted on the outer surface of the garbage classification barrel.
The top of the garbage classification barrel 1 is provided with an electrically controlled barrel cover 2, the barrel cover 2 can spread garbage when being closed, and the spread garbage falls into the garbage classification barrel 1 when being opened. Before putting garbage, a user needs to put the garbage on the barrel cover 2 to perform image recognition.
The intelligent household garbage bin also comprises an electronic control device, wherein the electronic control device comprises a processor for performing centralized control, and a camera 3, an image display 4, a lighting white light source 5, a button 6 and a bin cover driving module which are connected with the processor. The camera 3, the image display 4 and the illumination white light source 5 are arranged above the barrel cover 2, and the camera 3 is used for collecting images of poured garbage; the image display 4 is used for displaying the processed image and feedback information, and if the garbage with errors is thrown, the error garbage can be identified and the user is reminded to remove the garbage; the illumination white light source 5 is used for supplementary illumination, so that the image acquisition effect is prevented from being influenced under the condition of insufficient light; the button 6 is arranged on the garbage classification barrel 1 and used for requesting garbage throwing; the barrel cover driving device is used for opening and closing the barrel cover 2.
The processor is internally provided with a kitchen garbage recognition algorithm, and the kitchen garbage recognition algorithm comprises the following steps:
(1) the user uniformly places the garbage on the barrel cover 2 and presses the button 6;
the garbage is uniformly placed on the barrel cover 2, so that image acquisition and identification judgment in the following steps are facilitated.
(2) The processor acquires an image f (x, y) of the garbage on the barrel cover 2 through the camera, wherein x and y are pixel coordinates;
under the synchronization of the button 6, the processor finishes the image acquisition of the garbage.
(3) Calculating the brightness I (x, y) of the image f (x, y), extracting the brightness I (x, y)>ITEtching, then performing region segmentation, and extracting pixel area larger than ATLuminance region R ofI iI =1,2,3 …, the processor converting the luminance area RI iSuperimposed on an image f (x, y) and displayed on said image display 4, and prompting the user to clean, wherein ITAs a brightness threshold value, ATIs an area threshold;
the characteristics of the kitchen waste determine that the image of the kitchen waste has the characteristics of small area and low brightness. Based on the analysis, the image f (x, y) is firstly converted into the brightness I (x, y) in the step (3), and then the processes of threshold processing, corrosion and region segmentation are carried out, if other domestic garbage exists in the kitchen garbage, the pixel area is larger than ATLuminance region R ofI i. In order to prompt the user to remove the garbage except the kitchen garbage, the brightness region R is arrangedI iSuperimposed on the image f (x, y) with a conspicuous color and displayed on said image display 4, prompting the user for processing.
(4) Calculating the color saturation S (x, y) of the image f (x, y), extracting the color saturation S (x, y)>STEtching, then performing region segmentation, and extracting pixel area larger than ATSaturation region R ofS jJ =1,2,3 …, the processor converting the saturation region RS jSuperimposed on the image f (x, y) and displayed on said image display 4, and prompting the user to clean, whereinSTIs a color saturation threshold;
the characteristics of the kitchen waste also determine that the image of the kitchen waste has the characteristics of not bright color and small area. Based on the analysis, the image f (x, y) is firstly converted into the color saturation S (x, y) in the step (4), and then the processes of threshold processing, corrosion and region segmentation are carried out, if other domestic garbage exists in the kitchen garbage, the pixel area is larger than ATSaturation region R ofS j. In order to prompt the user to remove the garbage except the kitchen garbage, the saturation region R is setS jSuperimposed on the image f (x, y) with a conspicuous color and displayed on said image display 4, prompting the user for processing.
(5) And if the luminance region R is not detected in steps (3) and (4)I iAnd a saturation region RS jIf the garbage classification bin 1 is in the garbage classification bin, the bin cover 2 is opened through the bin cover 2 driving module, and the garbage falls into the garbage classification bin 1;
under normal conditions, or after the user rejects other garbage, the kitchen garbage falls into the garbage classification barrel 1 after the barrel cover 2 is opened.
(6) And the processor closes the barrel cover 2 to finish the garbage throwing.

Claims (1)

1. The utility model provides an intelligence rubbish from cooking classification bucket based on image analysis, includes rubbish classification bucket, rubbish classification bucket top set up electric control's bung, the bung can spread out when closing and put rubbish, spread out when opening rubbish put just fall into rubbish classification bucket, its characterized in that: still include electronic control device, electronic control device including carry out centralized control's treater, and with camera, image display, illumination white light source, button and bung drive module that the treater is connected, camera, image display and illumination white light source set up bung top, the camera be used for gathering the image of pouring rubbish into, image display be used for showing the image and the feedback information of handling, illumination white light source be used for supplementing the illumination, the button set up rubbish classification bucket on for request rubbish is put in, bung drive arrangement be used for opening and close the bung, the inside surplus rubbish recognition algorithm that sets up of treater, surplus rubbish recognition algorithm in kitchen include following step:
(1) the user uniformly places the garbage on the barrel cover and presses the button;
(2) the processor acquires an image f (x, y) of the garbage on the barrel cover through the camera, wherein x and y are pixel coordinates;
(3) calculating the brightness I (x, y) of the image f (x, y), extracting the brightness I (x, y)>ITEtching, then performing region segmentation, and extracting pixel area larger than ATLuminance region R ofI iI =1,2,3 …, the processor converting the luminance area RI iSuperimposed on an image f (x, y) and displayed on said image display, and prompting the user to clean, wherein ITAs a brightness threshold value, ATIs an area threshold;
(4) calculating the color saturation S (x, y) of the image f (x, y), extracting the color saturation S (x, y)>STEtching, then performing region segmentation, and extracting pixel area larger than ATSaturation region R ofS jJ =1,2,3 …, the processor converting the saturation region RS jSuperimposed on the image f (x, y) and displayed on said image display, and prompting the user to clean, wherein STIs a color saturation threshold;
(5) and if the luminance region R is not detected in steps (3) and (4)I iAnd a saturation region RS jIf the garbage bin cover is opened through the bin cover driving module, the garbage falls into the garbage sorting bin;
(6) and the processor closes the barrel cover to finish garbage throwing.
CN202010200752.8A 2020-03-20 2020-03-20 Intelligent kitchen garbage classification barrel based on image analysis Withdrawn CN111453249A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112257623A (en) * 2020-10-28 2021-01-22 长沙立中汽车设计开发股份有限公司 Road surface cleanliness judging and automatic cleaning method and automatic cleaning environmental sanitation device
CN112875082A (en) * 2021-01-13 2021-06-01 重庆市索美智能交通通讯服务有限公司 Intelligent recognition processing system and method for kitchen garbage
CN113051989A (en) * 2020-11-04 2021-06-29 泰州镭昇光电科技有限公司 In-bucket object type identification system
CN114455230A (en) * 2022-03-15 2022-05-10 温州市易智智能科技有限公司 AI face recognition-based garbage classification system and device thereof

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112257623A (en) * 2020-10-28 2021-01-22 长沙立中汽车设计开发股份有限公司 Road surface cleanliness judging and automatic cleaning method and automatic cleaning environmental sanitation device
CN112257623B (en) * 2020-10-28 2022-08-23 长沙立中汽车设计开发股份有限公司 Road surface cleanliness judgment and automatic cleaning method and automatic cleaning environmental sanitation device
CN113051989A (en) * 2020-11-04 2021-06-29 泰州镭昇光电科技有限公司 In-bucket object type identification system
CN112875082A (en) * 2021-01-13 2021-06-01 重庆市索美智能交通通讯服务有限公司 Intelligent recognition processing system and method for kitchen garbage
CN112875082B (en) * 2021-01-13 2022-06-14 重庆市索美智能交通通讯服务有限公司 Intelligent recognition processing system and method for kitchen garbage
CN114455230A (en) * 2022-03-15 2022-05-10 温州市易智智能科技有限公司 AI face recognition-based garbage classification system and device thereof

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Application publication date: 20200728