CN201145154Y - Self-adapting lighting source apparatus based on machine vision system feature model - Google Patents
Self-adapting lighting source apparatus based on machine vision system feature model Download PDFInfo
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- CN201145154Y CN201145154Y CNU2007201759448U CN200720175944U CN201145154Y CN 201145154 Y CN201145154 Y CN 201145154Y CN U2007201759448 U CNU2007201759448 U CN U2007201759448U CN 200720175944 U CN200720175944 U CN 200720175944U CN 201145154 Y CN201145154 Y CN 201145154Y
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- 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
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The utility model discloses a self-adaptive illuminating light source device based on a machine vision system feature model, and aims to provide an intelligent illuminating light source device which, according to the target identification requirements of the machine vision system, objectively determines image quality and initiatively adjusts the light intensity and the spectral characteristic of an LED light source. The device consists of an image grabbing card, a computer, an LED light source intelligent driver and the LED light source and a chroma sensor. The output end of the image grabbing card is connected with the input end of the computer. The output end of the computer is connected with the input end of the LED light source intelligent driver. The output end of the LED light source intelligent driver is connected with the input end of the LED light source. The output end of the chroma sensor is connected with the input end of the LED light source intelligent driver. The main use of the device is to self-adaptively adjust the spectral characteristic and the radiation light intensity of the illuminating light source, based on the machine vision system feature model, and to eliminate the interference brought by the variation of objective conditions such as the environment and the material of workpieces, etc. so as to realize the stability of illumination.
Description
Technical field:
The utility model belongs to the LED lighting technical field, relates in particular to a kind of LED illuminating light source device that is used for machine vision image recognition and precision measurement system.This light source can be measured the required target signature model that obtains in conjunction with NI Vision Builder for Automated Inspection, according to the illumination of measured workpiece and the material and the surface characteristic of measured workpiece, initiatively adjust the spectral characteristic and the radiation light intensity of light source, make the target identification and the measurement of NI Vision Builder for Automated Inspection can obtain optimum picture quality all the time.
Background technology:
Along with the continuous development and progress of related key technical, machine vision becomes very important in an industrial automation technology link day by day.Traditional machine vision image recognition and measuring system mainly rely on surround lighting or the subsidiary light source of conventional optical system to throw light on.Lighting quality is very big to the identification degree and the certainty of measurement influence of system, and often because of lighting quality is not high, the accuracy that visual pattern is measured reduces, and brings very mistake to measurement result in the measurement.
The LED technical development is rapid, and along with improving constantly of brightness and efficient, LED has become a kind of lighting engineering of key, relatively is widely used in NI Vision Builder for Automated Inspection.Secondly, in actual applications, light emitting diode is along with the PN junction variation of temperature, and the above skew of 10nm can take place the wavelength of output light.This gamut not only can influence the color dot of this color, also can have influence on the white point of whole system.Therefore, in traditional application in order fundamentally to solve the problem of gamut, LED must be with lower power operation, or guarantee that the high heat endurance of lighting device, this point have also limited the application of light emitting diode in NI Vision Builder for Automated Inspection high request lighting source of up-to-date high-power, high energy efficiency, small size.Moreover, using the light intensity and the colourity of light source at present in the machine vision measuring system all is according to the subjective judgement of picture quality is regulated by survey crew, often to select light sources of different colors by replica test according to the variation of workpiece material, this conventional method not only efficient is low, the recognition capability of NI Vision Builder for Automated Inspection characteristic model and certainty of measurement are subjected to the influence degree of operating personnel's subjective judgement big, and can't use in the real-time online measuring system.
Summary of the invention:
It is a kind of according to the objective judgement picture quality of NI Vision Builder for Automated Inspection target identification requirement, the intelligent lighting light supply apparatus of the light intensity of active adjustment led light source and spectral characteristic that the purpose of this utility model is to provide.
The purpose of this utility model is achieved through the following technical solutions:
A kind of based on the automatic adjust intensity of NI Vision Builder for Automated Inspection characteristic model and the illuminating light source device of colourity, it is characterized in that forming by image pick-up card 1, computer 2, led light source intelligent driver 3, led light source 4 and chromaticity transducer 5, the data output end of image pick-up card 1 connects the data input pin of computer 2, the output of computer 2 connects the input of led light source intelligent driver 3, the output of led light source intelligent driver 3 connects the input of led light source 4, and the output of chromaticity transducer 5 is connected to the input of led light source intelligent driver 3.
Computing module in the computer 2 is by according to the picture quality quantification treatment unit 2-1 of the calculated signals gradation of image standard deviation function S of image pick-up card 1 input and image variance function V, according to deal with the work NI Vision Builder for Automated Inspection aspect of model unit 2-2 that target sets up and calculate the NI Vision Builder for Automated Inspection perfect light source modeling unit 2-3 that the maximum Illuminant chromaticity index of picture quality contribution and irradiation level are required to set up for the desirable lighting source of goal systems according to the needs of NI Vision Builder for Automated Inspection image recognition or measurement model and form of NI Vision Builder for Automated Inspection real image, and the output of NI Vision Builder for Automated Inspection perfect light source modeling unit 2-3 connects the input of led light source intelligent control unit 3-1.
As shown in Figure 1, CCD in the NI Vision Builder for Automated Inspection gathers by the image of the measured workpiece of light illumination, image is sent into computer 2 via image pick-up card 1, computer 2 is by the quality of program with gradation of image standard deviation function S and image variance function V evaluation map picture, determine color RGB component and the light source intensity component of contributing maximum light source chromaticity index and irradiation level to require to determine the perfect light source model to picture quality according to the needs of NI Vision Builder for Automated Inspection image recognition or measurement model, send data to led light source intelligent driver 3 by communication bus at last.Led light source intelligent control unit 3-1 in the led light source intelligent driver 3 receives the data of computer 2 outputs, brightness ratio relation through chrominance space coordinate Calculation rgb color component, limit the amplitude of maximum drive current simultaneously according to the size of light intensity component, the PWM that calculates the desirable drive current of three kinds of color LED of RGB light emitting diode drives dutyfactor value, realize the adjusting of electric current dutycycle at last by led light source power drive unit 3-2, the electric current of adjustment light emitting diode strengthens light source or weakens, make the illumination on current measured workpiece surface reach best, guarantee that the irradiation level on measured workpiece surface in whole measuring process is all at one's best.Simultaneously in the work of long-term stability, detect and feed back the irradiation level variation on actual measured workpiece surface in real time by chromaticity transducer 5, led light source intelligent control unit 3-1 can be to the LED light emitting diode because compensation is made in the colourity drift that temperature rise and reason such as aging cause, when keeping high brightness efficient, realize the stability of illumination.
Application of the present utility model has improved repeatability, real-time and the high reliability of NI Vision Builder for Automated Inspection image recognition and accurate measurement greatly, has got rid of objective condition such as environment for use and workpiece material and has changed the interference that brings; By response to system feedback, and appropriate power supply control calculation, can when keeping high brightness efficient, realize the stability of throwing light on; Avoid operating personnel's subjective judgement error, saved cost of labor, improved detection efficiency.
Description of drawings:
Fig. 1 is a structural representation of the present utility model;
Fig. 2 is the modular structure schematic diagram of the led light source intelligent drives controller of two kinds of the computing module structural representation of the computer 2 in the embodiment one and real-time modes;
Fig. 3 is the structural representation of embodiment three.
The specific embodiment:
The specific embodiment one:specify present embodiment below in conjunction with Fig. 1 and Fig. 2.It is made up of image pick-up card 1, computer 2, led light source intelligent driver 3, led light source 4 and chromaticity transducer 5, the data output end of image pick-up card 1 connects the data input pin of computer 2, the output of computer 2 connects the input of led light source intelligent driver 3, the output of led light source intelligent driver 3 connects the input of led light source 4, computing module in and the output of chromaticity transducer 5 is connected to the input of led light source intelligent driver 3. computers 2 is by the calculated signals gradation of image standard deviation function S that imports according to image pick-up card 1 and the picture quality quantification treatment unit 2-1 of image variance function V, contribute maximum Illuminant chromaticity index and irradiation level to require foundation for the NI Vision Builder for Automated Inspection perfect light source modeling unit 2-3 composition of the desirable lighting source of goal systems according to the NI Vision Builder for Automated Inspection aspect of model unit 2-2 of NI Vision Builder for Automated Inspection real image work for the treatment of target foundation with according to the needs calculating of NI Vision Builder for Automated Inspection image recognition or measurement model to picture quality, the input of the output connection led light source intelligent control unit 3-1 of NI Vision Builder for Automated Inspection perfect light source modeling unit 2-3.
The specific embodiment two: specify present embodiment below in conjunction with Fig. 1 and Fig. 2.The difference of present embodiment and embodiment one is that led light source intelligent driver 3 is made up of led light source intelligent control unit 3-1 and led light source power drive unit 3-2.Led light source intelligent control unit 3-1 receives the data of computer 2 outputs, brightness ratio relation through chrominance space coordinate Calculation rgb color component, limit the amplitude of maximum drive current simultaneously according to the size of light intensity component, the PWM that calculates the desirable drive current of three kinds of color LED of RGB light emitting diode drives dutyfactor value, realize the adjusting of electric current dutycycle at last by led light source power drive unit 3-2, the electric current of adjustment light emitting diode strengthens light source or weakens, make the illumination on current measured workpiece surface reach best, guarantee that the irradiation level on measured workpiece surface in whole measuring process is all at one's best.Simultaneously in the work of long-term stability, detect and feed back the irradiation level variation on actual measured workpiece surface in real time by chromaticity transducer 5, led light source intelligent control unit 3-1 can realize the stability of white to because compensation is made in the LED light emitting diode colourity drift that temperature rise and reason such as aging cause when keeping high brightness efficient.
Concrete real-time mode three: specify present embodiment below in conjunction with Fig. 3.The difference of present embodiment and embodiment one is, described led light source 4 is arranged the array that forms for led light source 4 for white, highlighted light emitting diode red, green, blue four kinds of colors in Fig. 3 mode, highlighted white light-emitting diode 4-1 position is positioned on four angles of this square-shaped frame, and the color module 4-2 that highlighted diodes red, green, blue three kinds of colors are closely arranged formation lays respectively on the axis of tetragonal four edges.The big angle of visual field that led light source 4 of the present utility model comprises a substrate and is located at substrate several years does not have the highlighted light emitting diode of lens, only use a spot of light emitting diode to realize that irradiation angle range is overlapping, compensate mutually and project equilibrium, effective lighting source.
Claims (2)
1. self adaptation illuminating light source device based on the NI Vision Builder for Automated Inspection characteristic model, it is characterized in that it is by image pick-up card [1], computer [2], led light source intelligent driver [3], led light source [4] and chromaticity transducer [5] are formed, the data output end of image pick-up card [1] connects the data input pin of computer [2], the output of computer [2] connects the input of led light source intelligent driver [3], the output of led light source intelligent driver [3] connects the input of led light source [4], and the output of chromaticity transducer [5] is connected to the input of led light source intelligent driver [3]; Computing module in the computer [2] is by forming according to the calculated signals gradation of image standard deviation function S of image pick-up card [1] input and picture quality quantification treatment unit [2-1], NI Vision Builder for Automated Inspection aspect of model unit [2-2] and the NI Vision Builder for Automated Inspection perfect light source modeling unit [2-3] of image variance function V.
2. the self adaptation illuminating light source device based on the NI Vision Builder for Automated Inspection characteristic model according to claim 1, it is characterized in that described led light source [4] is the array that white, highlighted light emitting diodes arrangement red, green, blue four kinds of colors form, highlighted white light-emitting diode position is positioned on four angles of square-shaped frame, and the color module that highlighted diodes red, green, blue three kinds of colors are closely arranged formation lays respectively on the axis of square four edges.
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| CNU2007201759448U CN201145154Y (en) | 2007-09-13 | 2007-09-13 | Self-adapting lighting source apparatus based on machine vision system feature model |
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| CNU2007201759448U CN201145154Y (en) | 2007-09-13 | 2007-09-13 | Self-adapting lighting source apparatus based on machine vision system feature model |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102340915A (en) * | 2011-08-30 | 2012-02-01 | 东莞市盟拓光电科技有限公司 | Machine vision light source luminance real-time regulating method and special system thereof in quality detection |
| CN102661796A (en) * | 2012-04-17 | 2012-09-12 | 中北大学 | Active photoelectric marking method for MEMS infrared light supply array |
| CN103344563A (en) * | 2013-06-07 | 2013-10-09 | 上海大学 | Vision light source detection apparatus for self-adaptive dimming color-adjusting machine and method |
| CN103676714A (en) * | 2013-11-22 | 2014-03-26 | 大连日佳电子有限公司 | Substrate positioning method and system based on machine vision |
| CN103727507A (en) * | 2013-12-17 | 2014-04-16 | 生迪光电科技股份有限公司 | Intelligent LED lighting device and intelligent LED lighting system |
| CN103841726A (en) * | 2014-03-06 | 2014-06-04 | 河南科技大学 | Luminance real-time adjusting device of light source in pole piece surface defect detection and adjusting method thereof |
| CN106102217A (en) * | 2016-06-13 | 2016-11-09 | 深圳市联君科技股份有限公司 | A kind of polychromatic source automatic regulating system being applied to vision-based detection and method |
| CN106546598A (en) * | 2016-10-28 | 2017-03-29 | 鞍钢未来钢铁研究院 | Belt steel surface detecting system light source self-adaptation control method |
| CN106793402A (en) * | 2016-12-21 | 2017-05-31 | 广东工业大学 | A kind of light source control method and device |
| CN107995743A (en) * | 2017-12-25 | 2018-05-04 | 安徽极光照明工程有限公司 | A kind of Workshop Production Lighting Control Assembly based on the analysis of brightness contrast value |
| CN108692216A (en) * | 2018-06-05 | 2018-10-23 | 贾凯然 | A kind of special desk lamp |
| CN109001206A (en) * | 2018-05-04 | 2018-12-14 | 华南农业大学 | A kind of fruit defects detection method and detection system based on image recognition |
| WO2022041761A1 (en) * | 2020-08-26 | 2022-03-03 | 广东奥普特科技股份有限公司 | Linear light source and correction method therefor |
-
2007
- 2007-09-13 CN CNU2007201759448U patent/CN201145154Y/en not_active Expired - Lifetime
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102340915B (en) * | 2011-08-30 | 2014-02-19 | 东莞市盟拓光电科技有限公司 | Machine vision light source luminance real-time regulating method and special system thereof in quality detection |
| CN102340915A (en) * | 2011-08-30 | 2012-02-01 | 东莞市盟拓光电科技有限公司 | Machine vision light source luminance real-time regulating method and special system thereof in quality detection |
| CN102661796B (en) * | 2012-04-17 | 2014-11-05 | 中北大学 | Active photoelectric marking method for MEMS infrared light supply array |
| CN102661796A (en) * | 2012-04-17 | 2012-09-12 | 中北大学 | Active photoelectric marking method for MEMS infrared light supply array |
| CN103344563A (en) * | 2013-06-07 | 2013-10-09 | 上海大学 | Vision light source detection apparatus for self-adaptive dimming color-adjusting machine and method |
| CN103344563B (en) * | 2013-06-07 | 2015-07-29 | 上海大学 | A kind of self-adaptation toning light modulation machine vision light source pick-up unit and method |
| CN103676714A (en) * | 2013-11-22 | 2014-03-26 | 大连日佳电子有限公司 | Substrate positioning method and system based on machine vision |
| CN103727507A (en) * | 2013-12-17 | 2014-04-16 | 生迪光电科技股份有限公司 | Intelligent LED lighting device and intelligent LED lighting system |
| CN103841726A (en) * | 2014-03-06 | 2014-06-04 | 河南科技大学 | Luminance real-time adjusting device of light source in pole piece surface defect detection and adjusting method thereof |
| CN103841726B (en) * | 2014-03-06 | 2015-09-09 | 河南科技大学 | The real-time adjusting device of light-source brightness and method of adjustment thereof in pole piece defects detection |
| CN106102217A (en) * | 2016-06-13 | 2016-11-09 | 深圳市联君科技股份有限公司 | A kind of polychromatic source automatic regulating system being applied to vision-based detection and method |
| CN106546598A (en) * | 2016-10-28 | 2017-03-29 | 鞍钢未来钢铁研究院 | Belt steel surface detecting system light source self-adaptation control method |
| CN106546598B (en) * | 2016-10-28 | 2019-09-24 | 鞍钢未来钢铁研究院有限公司 | Belt steel surface detection system light source self-adaptation control method |
| CN106793402A (en) * | 2016-12-21 | 2017-05-31 | 广东工业大学 | A kind of light source control method and device |
| CN107995743A (en) * | 2017-12-25 | 2018-05-04 | 安徽极光照明工程有限公司 | A kind of Workshop Production Lighting Control Assembly based on the analysis of brightness contrast value |
| CN109001206A (en) * | 2018-05-04 | 2018-12-14 | 华南农业大学 | A kind of fruit defects detection method and detection system based on image recognition |
| CN109001206B (en) * | 2018-05-04 | 2020-09-08 | 华南农业大学 | Fruit defect detection method and detection system based on image recognition |
| CN108692216A (en) * | 2018-06-05 | 2018-10-23 | 贾凯然 | A kind of special desk lamp |
| WO2022041761A1 (en) * | 2020-08-26 | 2022-03-03 | 广东奥普特科技股份有限公司 | Linear light source and correction method therefor |
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Granted publication date: 20081105 |