CN103400567A - Automatic screen brightness adjusting method - Google Patents
Automatic screen brightness adjusting method Download PDFInfo
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- CN103400567A CN103400567A CN2013103336382A CN201310333638A CN103400567A CN 103400567 A CN103400567 A CN 103400567A CN 2013103336382 A CN2013103336382 A CN 2013103336382A CN 201310333638 A CN201310333638 A CN 201310333638A CN 103400567 A CN103400567 A CN 103400567A
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Abstract
The invention provides a automatic screen brightness adjusting method which is characterized by comprising the following steps: calling a camera in front of a computer screen at a backstage to photograph the front face of a user and the surrounding environment of the user in real time; analyzing a picture shot by the camera and identifying the face and background of a user from the picture; analyzing the average brightness of the face and the average brightness of the background to obtain a quotient of the face and the background; and adjusting the brightness of the screen, wherein the screen brightness is in inverse relation to the quotient. The screen brightness can be accurately and automatically adjusted to the true brightness required by the user by the method.
Description
Technical field
The present invention relates to computer software fields, especially, is a kind of screen intensity control method.
Background technology
At present, for the screen intensity on computer equipment, be generally that the mode by artificial setting realizes; But, sometimes for the ease of the variation of the brightness that conforms, adopt the mode of automatically regulating to regulate, yet the effect that the automatic regulation scheme of present screen intensity obtains is not good enough, often can not get suitable brightness, therefore, is not subject to user's favor yet; Its reason is, present screen intensity Automatic adjustment method is by the light sensor induced environment illumination brightness of screen periphery, yet adjust screen intensity according to the induction result, but, due to the lighting angle of light sensor, scope etc., the visual angle of facing computer with human body differs larger, and therefore, the screen intensity demand and the real demand that by light sensor, judge often differ huge.
Summary of the invention
For the problems referred to above, the object of the present invention is to provide a kind of screen intensity control method, the method can make screen intensity automatically be adjusted to the required true brightness of user exactly.
The technical solution adopted for the present invention to solve the technical problems is: the camera in Background scheduling computer screen the place ahead, by user's front extremely surrounding environment take in real time; Analyze the taken picture of camera, from described picture, identifying user's face and background; Analyze the mean flow rate of face and the mean flow rate of background, draw both quotients; The brightness of adjusting screen, make screen intensity and described quotient be inverse relation.
As preferably, computer background, every the time more than 10 seconds, is once analyzed the picture that camera is taken in real time, and completes all the other steps after picture is analyzed, thereby be the normal operation saving computational resource of computing machine.
As preferably, when analyzing the mean flow rate of described background, ignore the brightness of darker regions in background, and only analyze the mean flow rate of light areas, the result that obtains and actual light conditions are more pressed close to.
Beneficial effect of the present invention is: this screen intensity Automatic adjustment method directly adopts over against user's camera and carries out the ambient lighting analysis, at first makes lighting angle, scope consistent with user's true visual condition; Secondly, this method, by the comparison of light and shade of analyst's face and background, is carried out the actual required screen intensity of analysis user, this practical demand under backlight state of more being close to the users.
Embodiment
Below the present invention is further described:
Screen intensity Automatic adjustment method provided by the invention is as follows: the software client that at first starts by following starting operating system, the camera in Background scheduling computer screen the place ahead, by user's front extremely surrounding environment take in real time; Then on backstage, analyze the taken picture of camera, by the face identification method of routine, from described picture, identifying user's face and background; Required people's face and background are enclosed respectively to choosing; Analyze the mean flow rate of enclosing the face in favored area and the mean flow rate of background, draw both quotients; The brightness of adjusting screen, make screen intensity and described quotient be inverse relation; Its reason is, if quotient is less, indicates face darker, and background is brighter, i.e. explanation, have a large amount of illumination to be projected on screen from the user rear this moment, causes the zone of being blocked by user's back very dim, and the illumination around the user's body profile is very bright, at this moment, in order to offset illumination for the interference that screen forms, just need to strengthen the brightness of screen, required quotient is less, and screen intensity needs higher.
In this screen intensity Automatic adjustment method, computer background can once be analyzed the picture that camera is taken in real time every the time more than 10 seconds, and completed all the other steps after picture is analyzed, thereby was the normal operation saving computational resource of computing machine.
In addition, when analyzing the mean flow rate of described background, ignore the brightness of darker regions in background, and only analyze the mean flow rate of light areas, the result that obtains and actual light conditions are more pressed close to; Because in background, light areas all directly consists of illumination usually, and darker regions probably consists of foreign material, can not directly react intensity of illumination.
This screen intensity Automatic adjustment method directly adopts over against user's camera and carries out the ambient lighting analysis, at first makes lighting angle, scope consistent with user's true visual condition; Secondly, this method, by the comparison of light and shade of analyst's face and background, is carried out the actual required screen intensity of analysis user, this practical demand under backlight state of more being close to the users.
Claims (3)
1. screen intensity Automatic adjustment method is characterized in that: the camera in Background scheduling computer screen the place ahead, by user's front extremely surrounding environment take in real time; Analyze the taken picture of camera, from described picture, identifying user's face and background; Analyze the mean flow rate of face and the mean flow rate of background, draw both quotients; The brightness of adjusting screen, make screen intensity and described quotient be inverse relation.
2. screen intensity Automatic adjustment method according to claim 1 is characterized in that: computer background, every the time more than 10 seconds, is once analyzed the picture that camera is taken in real time, and completes all the other steps after picture is analyzed.
3. screen intensity Automatic adjustment method according to claim 1, is characterized in that: when analyzing the mean flow rate of described background, ignore the brightness of darker regions in background, and only analyze the mean flow rate of light areas.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN2013103336382A CN103400567A (en) | 2013-08-02 | 2013-08-02 | Automatic screen brightness adjusting method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2013103336382A CN103400567A (en) | 2013-08-02 | 2013-08-02 | Automatic screen brightness adjusting method |
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| CN103400567A true CN103400567A (en) | 2013-11-20 |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015131647A1 (en) * | 2014-10-16 | 2015-09-11 | 中兴通讯股份有限公司 | Method and device for adjusting screen brightness |
| WO2016015586A1 (en) * | 2014-07-31 | 2016-02-04 | 维沃移动通信有限公司 | Backlight adjustment method for display device, display device for backlight adjustment method, computer program product and computer-readable recording medium |
| CN106101445A (en) * | 2016-08-01 | 2016-11-09 | 广东欧珀移动通信有限公司 | Control method and mobile terminal |
| CN106855934A (en) * | 2015-12-09 | 2017-06-16 | 阿里巴巴集团控股有限公司 | The display methods and device of the barcode scanning page |
| CN107222685A (en) * | 2016-03-21 | 2017-09-29 | 钰立微电子股份有限公司 | Image acquisition device and operation method thereof |
| CN109919933A (en) * | 2019-03-08 | 2019-06-21 | 歌尔股份有限公司 | VR equipment and its screen detection method, device, and computer-readable storage medium |
| CN120491874A (en) * | 2025-05-19 | 2025-08-15 | 广东省欧度利方科技有限公司 | Multi-source data and reinforcement learning combined intelligent tablet computer user behavior analysis system |
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| CN101365103A (en) * | 2007-08-06 | 2009-02-11 | 中国科学院声学研究所 | A Management Method for Interactive Service of Cable TV Network |
| US20100123696A1 (en) * | 2008-11-17 | 2010-05-20 | Kabushiki Kaisha Toshiba | Image display apparatus and method |
| CN101887700A (en) * | 2009-05-15 | 2010-11-17 | 宏碁股份有限公司 | Computer system, display device and backlight control method |
| CN101931749A (en) * | 2009-06-25 | 2010-12-29 | 原相科技股份有限公司 | Shooting parameter adjustment method for face detection and image capturing device for face detection |
| CN102954836A (en) * | 2012-10-26 | 2013-03-06 | 京东方科技集团股份有限公司 | Ambient light sensor, user applying device and display device |
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- 2013-08-02 CN CN2013103336382A patent/CN103400567A/en active Pending
Patent Citations (5)
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| CN101365103A (en) * | 2007-08-06 | 2009-02-11 | 中国科学院声学研究所 | A Management Method for Interactive Service of Cable TV Network |
| US20100123696A1 (en) * | 2008-11-17 | 2010-05-20 | Kabushiki Kaisha Toshiba | Image display apparatus and method |
| CN101887700A (en) * | 2009-05-15 | 2010-11-17 | 宏碁股份有限公司 | Computer system, display device and backlight control method |
| CN101931749A (en) * | 2009-06-25 | 2010-12-29 | 原相科技股份有限公司 | Shooting parameter adjustment method for face detection and image capturing device for face detection |
| CN102954836A (en) * | 2012-10-26 | 2013-03-06 | 京东方科技集团股份有限公司 | Ambient light sensor, user applying device and display device |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016015586A1 (en) * | 2014-07-31 | 2016-02-04 | 维沃移动通信有限公司 | Backlight adjustment method for display device, display device for backlight adjustment method, computer program product and computer-readable recording medium |
| WO2015131647A1 (en) * | 2014-10-16 | 2015-09-11 | 中兴通讯股份有限公司 | Method and device for adjusting screen brightness |
| CN105575361A (en) * | 2014-10-16 | 2016-05-11 | 中兴通讯股份有限公司 | Screen brightness adjusting method and apparatus thereof |
| CN106855934A (en) * | 2015-12-09 | 2017-06-16 | 阿里巴巴集团控股有限公司 | The display methods and device of the barcode scanning page |
| CN107222685A (en) * | 2016-03-21 | 2017-09-29 | 钰立微电子股份有限公司 | Image acquisition device and operation method thereof |
| CN106101445A (en) * | 2016-08-01 | 2016-11-09 | 广东欧珀移动通信有限公司 | Control method and mobile terminal |
| CN106101445B (en) * | 2016-08-01 | 2020-01-10 | Oppo广东移动通信有限公司 | Control method and mobile terminal |
| CN109919933A (en) * | 2019-03-08 | 2019-06-21 | 歌尔股份有限公司 | VR equipment and its screen detection method, device, and computer-readable storage medium |
| CN120491874A (en) * | 2025-05-19 | 2025-08-15 | 广东省欧度利方科技有限公司 | Multi-source data and reinforcement learning combined intelligent tablet computer user behavior analysis system |
| CN120491874B (en) * | 2025-05-19 | 2026-01-02 | 广东省欧度利方科技有限公司 | Multi-source data and reinforcement learning combined intelligent tablet computer user behavior analysis system |
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Application publication date: 20131120 |