CN107392906A - A kind of cleaning glass method based on multiple IMAQ and manipulator - Google Patents

A kind of cleaning glass method based on multiple IMAQ and manipulator Download PDF

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Publication number
CN107392906A
CN107392906A CN201710678575.2A CN201710678575A CN107392906A CN 107392906 A CN107392906 A CN 107392906A CN 201710678575 A CN201710678575 A CN 201710678575A CN 107392906 A CN107392906 A CN 107392906A
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China
Prior art keywords
glass
target glass
cleaning
manipulator
shading
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CN201710678575.2A
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Chinese (zh)
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CN107392906B (en
Inventor
高俊强
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Wuhu Dehai Robot Technology Co Ltd
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Wuhu Dehai Robot Technology Co Ltd
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Priority to CN201710678575.2A priority Critical patent/CN107392906B/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • G06T7/0008Industrial image inspection checking presence/absence
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47LDOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L1/00Cleaning windows
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume

Abstract

The invention discloses a kind of cleaning glass method based on multiple IMAQ and manipulator, methods described includes:Gather the present image R under target glass printing opacity1;To R1Carry out gray proces and obtain the first image T1, count T1Middle gray value is more than the first gray value A1Region area summation Q1;Shading is carried out to target glass;Gather the present image R under target glass shading2;To R2Carry out gray proces and obtain the second image T2, count T2Middle gray value is more than the second gray value A2Region area summation Q2;By Q1With Q2And Q3Compared with preset area value, target glass is cleared up by cleaning machine hand according to comparative result.

Description

A kind of cleaning glass method based on multiple IMAQ and manipulator
Technical field
The present invention relates to robotic technology field, more particularly to a kind of clearing glass based on multiple IMAQ and manipulator Clean method.
Background technology
With the development in epoch, population increases on the earth, and urban skyscraper the more is built the more high, and the multilayer that people live occupies People building is also gradually substituted by high-rise residential building, and the window-glass cleaning of these high-rise residential buildings turns into one and perplexs the big of resident family Problem, window is that most of the most important light source of life staying idle at home, window-glass is the Transparent color not born dirty, so once having Dust is kicked up, and after snowing, window-glass is easy for being dirty, and the cleaning of traditional window is to enter in a manual manner Capable, manually cleaned in the air with lifting rope, expense is extremely expensive, and efficiency is low, and security is poor, and resident family is autonomous clear The clean unusual trouble that seems, the inner surface of window-glass can only be cleaned.
The content of the invention
Based on technical problem existing for background technology, the present invention proposes a kind of based on multiple IMAQ and manipulator Cleaning glass method;
A kind of cleaning glass method based on multiple IMAQ and manipulator proposed by the present invention, including:
Present image R under S1, collection target glass printing opacity1
S2, to R1Carry out gray proces and obtain the first image T1, count T1Middle gray value is more than the first gray value A1Region Area summation Q1
S3, shading is carried out to target glass;
Present image R under S4, collection target glass shading2
S5, to R2Carry out gray proces and obtain the second image T2, count T2Middle gray value is more than the second gray value A2Region Area summation Q2
S6, by Q1With Q2And Q3Compared with preset area value, according to comparative result by cleaning machine hand to target Glass is cleared up.
Preferably, step S6, specifically include:The preset area value includes the first area value W1, second area value W2, the Three area value W3
Calculate Q1With Q2And Q3=Q1+Q2, by Q3Compared with preset area value,
Work as W1< Q3< W2When, control module instruction control cleaning machine hand cleans t to target glass1Time;
Work as W2< Q3< W3When, control module instruction control cleaning machine hand cleans t to target glass2Time;
Work as Q3> W3When, control module instruction control cleaning machine hand cleans t to target glass3Time;
Wherein, W1、W2、W3、t1、t2、t3It is preset value, and W1< W2< W3, t1< t2< t3
Preferably, step S6, target glass is cleared up by cleaning machine hand, specifically included:Pass through cleaning machine Hand cleans according to preset path to target glass.
Preferably, step S3, specifically include:Shading is carried out to target glass by roller shutter.
Preferably, step S1, specifically include:The present image under target glass printing opacity is gathered by multiple high-definition cameras R1
Preferably, step S4, specifically include:The present image under target glass shading is gathered by multiple high-definition cameras R2
The present invention is by gathering the present image R under target glass printing opacity1, to R1Carry out gray proces and obtain the first image T1, count T1Middle gray value is more than the first gray value A1Region area summation Q1, shading is carried out to target glass, gathers mesh Mark the present image R under glass shading2, to R2Carry out gray proces and obtain the second image T2, count T2Middle gray value is more than second Gray value A2Region area summation Q2, by Q1With Q2And Q3Compared with preset area value, passed through according to comparative result Cleaning machine hand is cleared up target glass.In this way, pass through the image after the image information of glass during comprehensive printing opacity and shading Information, it is dirty can accurately to judge whether glass occurs, and carry out the cleaning of different durations to glass according to dirty area, this Sample can both ensure the cleaning of glass in real time, allow the glass moment in man of resident family to keep cleaning, while save and pass through professional The cost of cleaning, it also avoid danger when professional cleans glass.
Brief description of the drawings
Fig. 1 is that a kind of flow of cleaning glass method based on multiple IMAQ and manipulator proposed by the present invention is illustrated Figure.
Embodiment
Reference picture 1, a kind of cleaning glass method based on multiple IMAQ and manipulator proposed by the present invention, including:
Step S1, gather the present image R under target glass printing opacity1, step S1, specifically include:Taken the photograph by multiple high definitions As head gathers the present image R under target glass printing opacity1
In concrete scheme, the present image under target glass printing opacity is gathered using multiple high-definition cameras, is prevented single Camera collection image is not comprehensive.
Step S2, to R1Carry out gray proces and obtain the first image T1, count T1Middle gray value is more than the first gray value A1's The area summation Q in region1
In concrete scheme, the purpose that gray proces are carried out to the present image under target glass printing opacity is in order to facilitate area Divide dirty region and clean region, it is dirty so as to conveniently judge whether target glass occurs.
Step S3, shading is carried out to target glass, specifically included:Shading is carried out to target glass by roller shutter.
Step S4, gather the present image R under target glass shading2, specifically include:Gathered by multiple high-definition cameras Present image R under target glass shading2
In concrete scheme, the present image under target glass shading is gathered using multiple high-definition cameras, is prevented single Camera collection image is not comprehensive.
Step S5, to R2Carry out gray proces and obtain the second image T2, count T2Middle gray value is more than the second gray value A2's The area summation Q in region2
In concrete scheme, the purpose that gray proces are carried out to the present image under target glass shading is in order to facilitate area Divide dirty region and clean region, it is dirty so as to conveniently judge whether target glass occurs.
Step S6, by Q1With Q2And Q3Compared with preset area value, cleaning machine hand pair is passed through according to comparative result Target glass is cleared up, and is specifically included:The preset area value includes the first area value W1, second area value W2, the 3rd area Value W3
Calculate Q1With Q2And Q3=Q1+Q2, by Q3Compared with preset area value,
Work as W1< Q3< W2When, control module instruction control cleaning machine hand cleans t to target glass1Time;
Work as W2< Q3< W3When, control module instruction control cleaning machine hand cleans t to target glass2Time;
Work as Q3> W3When, control module instruction control cleaning machine hand cleans t to target glass3Time;
Wherein, W1、W2、W3、t1、t2、t3It is preset value, and W1< W2< W3, t1< t2< t3
In this step, target glass is cleared up by cleaning machine hand, specifically included:By cleaning machine hand according to Preset path cleans to target glass.
In concrete scheme, easily recognized when printing opacity because some are dirty, some are dirty to hold when shading Easily identification, the present image under the present image and target glass shading under target glass printing opacity is then gathered, to two images After carrying out gray proces, Gray value comparative result and area value comparative result, it is dirty to judge whether target glass occurs, Judged result is when being, different degrees of cleaning is carried out to target glass by manipulator, so can both ensure glass in real time Cleaning, allow the glass moment in man of resident family to keep cleaning, while save the cost cleaned by professional.
Present embodiment is by gathering the present image R under target glass printing opacity1, to R1Carry out gray proces and obtain first Image T1, count T1Middle gray value is more than the first gray value A1Region area summation Q1, shading is carried out to target glass, adopted Collect the present image R under target glass shading2, to R2Carry out gray proces and obtain the second image T2, count T2Middle gray value is more than Second gray value A2Region area summation Q2, by Q1With Q2And Q3Compared with preset area value, according to comparative result Target glass is cleared up by cleaning machine hand.In this way, after by the image information of glass during comprehensive printing opacity and shading Image information, it is dirty can accurately to judge whether glass occurs, and the clear of different durations is carried out to glass according to dirty area It is clean, the cleaning of glass so can be both ensured in real time, allow the glass moment in man of resident family to keep cleaning, while save and pass through specialty The cost of personnel's cleaning, it also avoid danger when professional cleans glass.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto, Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.

Claims (5)

  1. A kind of 1. cleaning glass method based on multiple IMAQ and manipulator, it is characterised in that including:
    Present image R under S1, collection target glass printing opacity1
    S2, to R1Carry out gray proces and obtain the first image T1, count T1Middle gray value is more than the first gray value A1Region face Product summation Q1
    S3, shading is carried out to target glass;
    Present image R under S4, collection target glass shading2
    S5, to R2Carry out gray proces and obtain the second image T2, count T2Middle gray value is more than the second gray value A2Region face Product summation Q2
    S6, by Q1With Q2And Q3Compared with preset area value, according to comparative result by cleaning machine hand to target glass Cleared up.
  2. 2. the cleaning glass method according to claim 1 based on multiple IMAQ and manipulator, it is characterised in that step Rapid S6, is specifically included:The preset area value includes the first area value W1, second area value W2, the 3rd area value W3
    Calculate Q1With Q2And Q3=Q1+Q2, by Q3Compared with preset area value,
    Work as W1< Q3< W2When, control module instruction control cleaning machine hand cleans t to target glass1Time;
    Work as W2< Q3< W3When, control module instruction control cleaning machine hand cleans t to target glass2Time;
    Work as Q3> W3When, control module instruction control cleaning machine hand cleans t to target glass3Time;
    Wherein, W1、W2、W3、t1、t2、t3It is preset value, and W1< W2< W3, t1< t2< t3
  3. 3. the cleaning glass method according to claim 1 based on multiple IMAQ and manipulator, it is characterised in that step Rapid S6, target glass is cleared up by cleaning machine hand, specifically included:By cleaning machine hand according to preset path to mesh Mark glass is cleaned.
  4. 4. the cleaning glass method according to claim 1 based on multiple IMAQ and manipulator, it is characterised in that step Rapid S3, is specifically included:Shading is carried out to target glass by roller shutter.
  5. 5. the cleaning glass method according to claim 1 based on multiple IMAQ and manipulator, it is characterised in that step Rapid S1, is specifically included:The present image R under target glass printing opacity is gathered by multiple high-definition cameras1
    Preferably, step S4, specifically include:The present image R under target glass shading is gathered by multiple high-definition cameras2
CN201710678575.2A 2017-08-10 2017-08-10 Glass cleaning method based on multiple image acquisition and mechanical arm Active CN107392906B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710678575.2A CN107392906B (en) 2017-08-10 2017-08-10 Glass cleaning method based on multiple image acquisition and mechanical arm

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Application Number Priority Date Filing Date Title
CN201710678575.2A CN107392906B (en) 2017-08-10 2017-08-10 Glass cleaning method based on multiple image acquisition and mechanical arm

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CN107392906B CN107392906B (en) 2020-09-25

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107928501A (en) * 2017-12-11 2018-04-20 黄锋平 A kind of shower bath
CN108042032A (en) * 2017-12-11 2018-05-18 邓鹏� A kind of Intelligent shower device of combination shower person exercise data
CN108056691A (en) * 2017-12-11 2018-05-22 邓鹏� A kind of shower bath based on big data
CN108065839A (en) * 2017-12-11 2018-05-25 黄锋平 A kind of Intelligent shower device based on image
CN108301729A (en) * 2018-02-07 2018-07-20 曾洁 Automatic-cleaning type Intelligent home device
CN109138732A (en) * 2018-02-07 2019-01-04 曾洁 Intelligent home device automatic cleaning method
CN110251004A (en) * 2019-07-16 2019-09-20 深圳市杉川机器人有限公司 Sweeping robot and its cleaning method and computer readable storage medium
CN111795329A (en) * 2020-07-15 2020-10-20 扬州市润熙照明科技有限公司 Lamp post device of clean street lamp convenient to dismantle
CN113620614A (en) * 2021-07-27 2021-11-09 深圳市若菲特科技有限公司 Method, device and equipment for removing ink on glass surface and storage medium

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CN1520512A (en) * 2001-07-05 2004-08-11 日本板硝子株式会社 Method and device for inspecting defect of sheet-shaped transparent body
CN101936915A (en) * 2010-07-30 2011-01-05 哈尔滨工业大学(威海) Method for detecting dirt on central region of bottom of beer bottle
US20150153558A1 (en) * 2012-06-07 2015-06-04 The Regents Of The University Of California Wide-field microscopy using self-assembled liquid lenses
CN105212844A (en) * 2015-10-16 2016-01-06 上海电巴新能源科技有限公司 A kind of unmanned plane possessing cleaning function
CN105882607A (en) * 2016-04-25 2016-08-24 乐视控股(北京)有限公司 Device and method for cleaning windshield of vehicle
CN106572349A (en) * 2016-11-18 2017-04-19 维沃移动通信有限公司 Camera cleanliness detection method and mobile terminal

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Publication number Priority date Publication date Assignee Title
CN1520512A (en) * 2001-07-05 2004-08-11 日本板硝子株式会社 Method and device for inspecting defect of sheet-shaped transparent body
CN101936915A (en) * 2010-07-30 2011-01-05 哈尔滨工业大学(威海) Method for detecting dirt on central region of bottom of beer bottle
US20150153558A1 (en) * 2012-06-07 2015-06-04 The Regents Of The University Of California Wide-field microscopy using self-assembled liquid lenses
CN105212844A (en) * 2015-10-16 2016-01-06 上海电巴新能源科技有限公司 A kind of unmanned plane possessing cleaning function
CN105882607A (en) * 2016-04-25 2016-08-24 乐视控股(北京)有限公司 Device and method for cleaning windshield of vehicle
CN106572349A (en) * 2016-11-18 2017-04-19 维沃移动通信有限公司 Camera cleanliness detection method and mobile terminal

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107928501A (en) * 2017-12-11 2018-04-20 黄锋平 A kind of shower bath
CN108042032A (en) * 2017-12-11 2018-05-18 邓鹏� A kind of Intelligent shower device of combination shower person exercise data
CN108056691A (en) * 2017-12-11 2018-05-22 邓鹏� A kind of shower bath based on big data
CN108065839A (en) * 2017-12-11 2018-05-25 黄锋平 A kind of Intelligent shower device based on image
CN108301729A (en) * 2018-02-07 2018-07-20 曾洁 Automatic-cleaning type Intelligent home device
CN109138732A (en) * 2018-02-07 2019-01-04 曾洁 Intelligent home device automatic cleaning method
CN109138732B (en) * 2018-02-07 2020-07-10 广州亿享云软件技术有限公司 Automatic cleaning method for intelligent household device
CN110251004A (en) * 2019-07-16 2019-09-20 深圳市杉川机器人有限公司 Sweeping robot and its cleaning method and computer readable storage medium
CN110251004B (en) * 2019-07-16 2022-03-11 深圳市杉川机器人有限公司 Sweeping robot, sweeping method thereof and computer-readable storage medium
CN111795329A (en) * 2020-07-15 2020-10-20 扬州市润熙照明科技有限公司 Lamp post device of clean street lamp convenient to dismantle
CN113620614A (en) * 2021-07-27 2021-11-09 深圳市若菲特科技有限公司 Method, device and equipment for removing ink on glass surface and storage medium

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