CN202551470U - Image recognition intelligent lighting control system - Google Patents
Image recognition intelligent lighting control system Download PDFInfo
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- CN202551470U CN202551470U CN2012202246002U CN201220224600U CN202551470U CN 202551470 U CN202551470 U CN 202551470U CN 2012202246002 U CN2012202246002 U CN 2012202246002U CN 201220224600 U CN201220224600 U CN 201220224600U CN 202551470 U CN202551470 U CN 202551470U
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- image recognition
- intelligent lighting
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
Abstract
An image recognition intelligent lighting control system relates to the field of intelligent lighting control and comprises a camera, a computer, a communication module and a lighting area. The camera, the computer, the communication module and the lighting area are sequentially connected, the lighting area is divided into n (plural) region of interest (ROI), each ROI is formed by a light source control module, a light source driving module and a lighting device, the light control module is connected with the communication module, and the light source control module, the light source driving module and the lighting module are sequentially connected. The image recognition intelligent lighting control system can divide a monitored region into sub regions, the sub regions can be monitored simultaneously, energy is saved, manual intervention is avoided, and intelligent degree is high.
Description
Technical field
The utility model relates to intelligent lighting control field, is specifically related to a kind of intelligent lighting system based on image recognition.
Background technology
Along with the continuous development of modern science and technology, people improve constantly the requirement of quality of life, and modern intelligent lighting control has become current development current.At present; Existing intelligent lighting system utilizes pyroscan to survey the existence of human body, the pyroscan advantage be simple in structure, cost is low, low in energy consumption, shortcoming is that disturbed by ambient temperature bigger; Detection range is short, can not satisfy the constantly needs of development of modern illumination control.China's application number 201010275058.9 intelligent light control systems and control method and Chinese application number 201010275069.7 intelligent light control systems and two utility application of control method thereof; A kind of intelligent lighting system of using image recognition is disclosed; It is through moving the situation that detection can be seen guarded region very intuitively; Turn on light as required then, turn off the light, not only can be energy-conservation, also improved people's quality of the life.But above-mentioned two utility model applications can only be carried out complete bright or complete dark control to a guarded region; Can't realize subregion control, have time domain too wide, lighting device has also been opened in some zone that need not throw light on; Can't realize subregion, intelligentized control, waste energy.
The utility model content
Said defective above the purpose of the utility model is to be directed against provides a kind of ability image recognition intelligent lighting system that the subregion is controlled simultaneously.
The purpose of the utility model is achieved through following technical scheme.
A kind of image recognition intelligent lighting system; It is characterized in that: comprise that camera, computer, communication module and field of illumination constitute; Camera, computer, communication module link to each other with the field of illumination successively, and camera is divided into n ROI with the field of illumination, and n is a plural number; Each ROI is made up of light source control module, light source driver module and lighting device, and light source control module links to each other with communication module, and light source control module, light source driver module and lighting module link to each other successively.
Said ROI also is equipped with light sensor, links to each other with lighting module with light source driver module respectively.
Said camera is the camera of CCD or the camera of CMOS, or a plurality of camera carries out simultaneously.
Said camera is infrared or near infrared camera.
Said ROI full name is Region of Intrest, i.e. area-of-interest.
Said camera receives its video flowing that monitors through computer.
Said computer is realized the image sequence that camera monitored is received and handles.
Said communication module comprises communicator and communication terminal, and the input of said communicator links to each other with computer, and the output of said communication terminal links to each other with the input of at least one light source control module.
Said light source control module, receiving computer be via illumination control information wireless or that wire transmission mode transmits, and control information is transferred to light source driver module, makes it regulate lighting device.
Said wireless data transmission mode can be used the ZigBee technology, several kinds of modes such as bluetooth and Wi-Fi technology; Said cable data transmission means can electrification line transmission technology, serial ports, several kinds of modes such as RS485 and can bus technology.
Said light source driver module; Mainly be to utilize the power driving circuit of IC chip controls to go to drive as LED-based light supply apparatus, the Different control information that can receive according to the light source control module from different ROI is simultaneously regulated the brightness of each ROI interior lighting device respectively.
Producing effect of the utility model is: the utility model can be carried out the subregion to guarded region, and the institute subregion is monitored simultaneously.Utilize camera to monitor the video flowing of control area in real time; The zone of each camera control is divided into n ROI; According to the many of the people who whether has human body and existence among each ROI in the image or few; The control information of each ROI is sent to the corresponding light source control module of ROI respectively, regulate the brightness of the lighting device of corresponding ROI.The utility model energy savings does not need manual intervention, and intelligent degree is high.
Description of drawings
Fig. 1 is the structured flowchart of the image recognition intelligent lighting system among the utility model embodiment.
Fig. 2 is the method flow diagram of the computer control camera among the utility model embodiment.
Fig. 3 is a lighting device brightness adjustment flow chart among the utility model embodiment.
Among the figure, 1 camera, 2 computers, 3 communication modules, 4 field of illuminations, 5 light source control module, 6 light source driver modules, 7 lighting devices, 8 light sensors.
Embodiment
The image recognition intelligent lighting system of the utility model can be the lamp light control system of family, also can be the lamp light control system of office space, perhaps the lamp light control system in other places.Be that example is carried out detailed explanation to the image recognition intelligent lighting system and the control method thereof of the utility model with common corridor in the office space below; Whenever a lighting device is installed, and each lighting device has the adjustable brightness function on the roof in this embodiment at a distance from a segment distance.In other embodiment, the number of lamp, position and concrete effect can specifically be provided with according to actual conditions.
As shown in Figure 1; A kind of image recognition intelligent lighting system; The camera 1 that comprises the monitoring light zone, computer 2 that the image sequence that camera 1 is monitored receives and handles and field of illumination 4, camera 1 is divided into the individual ROI of n (n is plural number) with field of illumination 4; Each ROI is built-in with the light source control module 5 that illumination apparatus 7 is controlled, the light source driver module 6 and lighting device 7 of 7 keyings of control lighting device and brightness.
Camera 1 illumination zone 4 is monitored, and no matter the people is positioned at which position in corridor, all should be able to from image, detect, and for this reason, should guarantee that the coverage of camera 1 can cover the All Ranges in corridor.Such requirement can reach through utilizing a plurality of cameras to unite simultaneously.In order in the environment of dark, also to detect the video flowing that needs, can adopt infrared/near infrared camera to take.
As shown in Figure 2, a kind of image recognition intelligent lighting control method comprises the steps:
1) camera 1 monitoring light zone 4 at first, and obtain current frame image.
2) current frame image because the influence of equipment and external environmental interference is cut apart in order to realize target preferably, must be removed noise in digitlization and transmission course.
3) gray level image with present frame subtracts each other with the gray scale background model that trains.
4) because The noise may need be provided with a threshold value background as prospect sometimes; And with the gray level image binaryzation, if the absolute value of the difference of present frame gray level image and background then is a foreground area greater than threshold value; Brightness is made as 255, otherwise is background, and brightness is 0.Can get rid of the mistake that causes by noises such as illumination like this and background treated as the mistake of prospect.
5) the prospect bianry image is carried out morphology and handle, mainly comprise and remove the isolated contour area and the cavity of contour elimination intra-zone, make foreground image smoothly complete.
6) 1 pair of current frame image of camera carries out the coordinate that human body is obtained in the profile detection, and characteristic values such as width and height are confirmed position of human body.
7) according to position of human body human body to be classified to image division be the individual ROI of n (n for plural number) to camera 1, and there is lighting device 7 each ROI top, judges the brightness of illumination of each ROI needs respectively according to the human body quantity of each ROI.
8) if do not have human body in the camera 1 testing result display image, then thinking does not have on this corridor, and camera 1 output this moment does not detect the testing result of human body and gives light source control module 5, and then light source driver module 6 is closed all lighting devices 7; If have human body in the testing result display image of camera 1, then start lighting device 7.
Abovementioned steps 8) in; There is the people will start lighting device 7 on the corridor in case detect; And according at the detected human body of certain ROI; Confirm the lighting device 7 of which position of needs adjustment according to position of human body, can confirm corresponding lighting device 7, can accurately control like this and start concrete lighting device 7 according to pre-determined regional corresponding relation.
Light source control module 5 is exported in control information after computer 2 receives and handles through the image sequence that camera 1 is monitored, is regulated the brightness of relevant lighting device 7 according to control information by the light source control module among each ROI 5.
The main effect of light source driver module 6 is to adjust according to the brightness that control information is confirmed.The prerequisite of carrying out the brightness adjustment is to know current brightness, and the method for sensed luminance commonly used is to utilize light sensor 8.For this reason, a light sensor is housed in each ROI.
Fig. 3 is the flow chart of lighting device 7 brightness adjustment, and wherein Ic is light sensor 8 detected current brightness, and It is the set point of normal brightness; When opening lighting device if desired, utilize the size of light sensor 8 current brightness Ic of detection and It earlier, if Ic>It; Current brightness is enough; Need not to open lighting device 7, < It then opens lighting device 7 as if Ic.Carry out comparison next time again, move in circles.
Claims (7)
1. image recognition intelligent lighting system; It is characterized in that: comprise camera (1), computer (2), communication module (3) and field of illumination (4) formation; Camera (1), computer (2), communication module (3) link to each other with field of illumination (4) successively; Camera (1) is divided into n ROI with field of illumination (4), and n is a plural number; Each ROI is made up of light source control module (5), light source driver module (6) and lighting device (7); Light source control module (5) links to each other with communication module (3), and light source control module (5), light source driver module (6) and lighting module (7) link to each other successively.
2. image recognition intelligent lighting system according to claim 1 is characterized in that: said ROI also is equipped with light sensor (8), links to each other with lighting module (7) with light source driver module (6) respectively.
3. image recognition intelligent lighting system according to claim 1 is characterized in that: said camera (1) is the camera of CCD or the camera of CMOS, or a plurality of camera carries out simultaneously.
4. image recognition intelligent lighting system according to claim 1 is characterized in that: said camera is infrared or near infrared camera.
5. image recognition intelligent lighting system according to claim 1; It is characterized in that: said communication module (3) comprises communicator and communication terminal; The input of said communicator links to each other with computer (2), and the output of said communication terminal links to each other with the input of at least one light source control module (5).
6. image recognition intelligent lighting system according to claim 1; It is characterized in that: said light source control module (5) is mainly used in the illumination control information that receiving computer (2) transmits via wireless or wired transmission means; And control information transferred to light source driver module (6), make it regulate lighting device.
7. image recognition intelligent lighting system according to claim 6 is characterized in that: said wireless data transmission mode, can use the ZigBee technology, bluetooth and Wi-Fi technology; Said cable data transmission means can electrification line transmission technology, serial ports, RS485 and can bus technology.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN2012202246002U CN202551470U (en) | 2012-05-18 | 2012-05-18 | Image recognition intelligent lighting control system |
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| CN2012202246002U CN202551470U (en) | 2012-05-18 | 2012-05-18 | Image recognition intelligent lighting control system |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102946663A (en) * | 2012-05-18 | 2013-02-27 | 南昌绿扬光电科技有限公司 | Image recognition intelligent illumination control system and control method thereof |
| CN104144537A (en) * | 2013-05-08 | 2014-11-12 | 株式会社理光 | Intelligent lighting control method, device and system |
| CN105118237A (en) * | 2015-09-16 | 2015-12-02 | 苏州清研微视电子科技有限公司 | Intelligent lighting system for fatigue driving early-warning system |
| CN105974490A (en) * | 2015-03-13 | 2016-09-28 | 松下知识产权经营株式会社 | Sensor control device, sensor system, and load control system |
| CN105975898A (en) * | 2015-03-13 | 2016-09-28 | 松下知识产权经营株式会社 | Sensor control device, sensor system, and load control system |
| CN106061019A (en) * | 2016-06-28 | 2016-10-26 | 蔡璟 | Lamp control system based on mode of starting light regionally |
| CN106325092A (en) * | 2016-10-19 | 2017-01-11 | 宁波江东晶量电子科技有限公司 | Smart interactive LED light |
| CN110225620A (en) * | 2019-06-22 | 2019-09-10 | 安徽华新光电饰业有限公司 | A kind of LED point light source lamp system control method |
| CN110514662A (en) * | 2019-09-10 | 2019-11-29 | 上海深视信息科技有限公司 | A kind of vision detection system of multiple light courcess fusion |
-
2012
- 2012-05-18 CN CN2012202246002U patent/CN202551470U/en not_active Expired - Fee Related
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102946663A (en) * | 2012-05-18 | 2013-02-27 | 南昌绿扬光电科技有限公司 | Image recognition intelligent illumination control system and control method thereof |
| CN104144537A (en) * | 2013-05-08 | 2014-11-12 | 株式会社理光 | Intelligent lighting control method, device and system |
| CN104144537B (en) * | 2013-05-08 | 2016-12-28 | 株式会社理光 | Intelligent lighting controls method, equipment and system |
| CN105975898B (en) * | 2015-03-13 | 2019-04-05 | 松下知识产权经营株式会社 | Sensor control, sensing system and load control system |
| CN105974490A (en) * | 2015-03-13 | 2016-09-28 | 松下知识产权经营株式会社 | Sensor control device, sensor system, and load control system |
| CN105975898A (en) * | 2015-03-13 | 2016-09-28 | 松下知识产权经营株式会社 | Sensor control device, sensor system, and load control system |
| CN105974490B (en) * | 2015-03-13 | 2019-01-11 | 松下知识产权经营株式会社 | Sensor control, sensing system and load control system |
| US9976895B2 (en) | 2015-03-13 | 2018-05-22 | Panasonic Intellectual Property Management Co., Ltd. | Sensor control device, sensor system, and load control system |
| CN105118237B (en) * | 2015-09-16 | 2018-01-19 | 苏州清研微视电子科技有限公司 | Intelligent illuminating system for driver fatigue monitor system |
| CN105118237A (en) * | 2015-09-16 | 2015-12-02 | 苏州清研微视电子科技有限公司 | Intelligent lighting system for fatigue driving early-warning system |
| CN106061019A (en) * | 2016-06-28 | 2016-10-26 | 蔡璟 | Lamp control system based on mode of starting light regionally |
| CN106325092A (en) * | 2016-10-19 | 2017-01-11 | 宁波江东晶量电子科技有限公司 | Smart interactive LED light |
| CN106325092B (en) * | 2016-10-19 | 2019-05-31 | 潍坊瑞阳光电科技有限公司 | Intelligent interaction type LED light |
| CN110225620A (en) * | 2019-06-22 | 2019-09-10 | 安徽华新光电饰业有限公司 | A kind of LED point light source lamp system control method |
| CN110225620B (en) * | 2019-06-22 | 2022-03-25 | 安徽华新光电饰业有限公司 | LED point light source lamp system control method |
| CN110514662A (en) * | 2019-09-10 | 2019-11-29 | 上海深视信息科技有限公司 | A kind of vision detection system of multiple light courcess fusion |
| CN110514662B (en) * | 2019-09-10 | 2022-06-28 | 上海深视信息科技有限公司 | Visual detection system with multi-light-source integration |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121121 Termination date: 20150518 |
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| EXPY | Termination of patent right or utility model |