CN105759971A - Method and system for automatically prompting distance from human eyes to screen - Google Patents
Method and system for automatically prompting distance from human eyes to screen Download PDFInfo
- Publication number
- CN105759971A CN105759971A CN201610128591.XA CN201610128591A CN105759971A CN 105759971 A CN105759971 A CN 105759971A CN 201610128591 A CN201610128591 A CN 201610128591A CN 105759971 A CN105759971 A CN 105759971A
- Authority
- CN
- China
- Prior art keywords
- user
- distance
- image
- eyeball
- face
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/12—Systems for determining distance or velocity not using reflection or reradiation using electromagnetic waves other than radio waves
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Electromagnetism (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Multimedia (AREA)
- Eye Examination Apparatus (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses a method and a system for automatically prompting a distance from human eyes to a screen. The method comprises the following steps: (A) collecting an image of a user through a camera; (B) processing the collected image, positioning a human face through a human face detection model, positioning an eyeball pair through an eyeball pair detection model, determining an image eye distance r of the user, calculating the age of the user through an age identifying unit and outputting the user eye distance R according to the age of the user; and (C) calculating the distance (D) from the human eyes to the screen by a formula D=(R*f)/r by combining the image eye distance r, the user eye distance R and the focus distance f, comparing the D with a prompting threshold, if the D is smaller than the prompting threshold, sending out alarm to the user. The system is used for executing the method. By human face identification, eyeball pair identification and age identification, position comparison is carried out through human face identification and eyeball pair identification to increase the accuracy rate of for positioning the eyeball pair; and the prompting function is relatively suitable for adolescents through age identification to play a role in protecting the vision of the user.
Description
Technical field
The invention belongs to mode identification technology, particularly relate to a kind of automatic prompter and have hallucinations the method and system of screen distance.
Background technology
In recent years, along with rapidly popularizing of smart machine (including panel computer), the life of people is more and more convenient, but meanwhile China's myopia sickness rate substantially rises.According to the information that national health State Family Planning Commission issues for 2014, China has more than 400,000,000 myopes, and wherein teenager is myopia morbidity " severely afflicated area ", and pupil's rate of myopia is more than 25%, and junior school student's rate of myopia reaches 70%, and high school student's rate of myopia has exceeded 85%.There are some researches show, the electronic curtain closely watching smart machine for a long time is the major reason bringing out myopia, and that embodies in population of adolescent is especially prominent.So, how research effectively helps the user including teenager to keep eyes and screen distance to become a highly important problem in using panel computer process.On this basis, invention proposes a kind of sight protectio method and system that can be applicable to panel computer, helps user to keep eyes and screen distance, thus reaching the purpose of protection vision.
Existing related art scheme generally adopts relatively simple way to realize system, position as legal in morphological image Hough transformation loop truss pupil method and Perspective Principles estimate human eye and screen distance method, owing to use technology is excessively simple, algorithm is excessively outmoded, this kind of technical scheme causes that alarm accuracy rate is low, it is susceptible to fault alarm and leakage alarm, in addition existing related art scheme algorithm, threshold value all design with adult artificial object of reference, namely can not meet teen-age user demand, and teenager is precisely the high-incidence season of myopia.This scope of application that just significantly limit system and effectiveness.
Summary of the invention
The present invention is had hallucinations by a kind of automatic prompter the method for screen distance, including: A, image by camera collection user, and image is carried out pretreatment, and pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；B, the image collected is processed, face is gone out including by Face datection model orientation, by eyeball detection model oriented eyeball to and obtain image eye distance (r) of user, calculate age of user by age recognition unit and export user's eye distance (R) according to age of user；The focal length (f) of C, combining image eye distance (r), user's eye distance (R) and photographic head, utilizing formula D=(R*f)/r calculates human eye to screen distance (D), relatively human eye to screen distance (D) and points out threshold value, if human eye to screen distance (D) less than pointing out threshold value; issue the user with alarm.
When preferably step B does not orient eyeball pair, then start to identify the local feature of the face in image, if identifying local feature and not orienting whole face, be then judged as that face distance is less than prompting threshold value.
When preferably the local feature of described face does not have identified, return step A.
Preferably detection model is the model for image recognition pre-set by the Face datection model of described step B and eyeball, and described prompting threshold value is the human eye that the sets safe distance to screen.
Preferably described step B also includes the correction of eyeball pair: the eyeball pair oriented and face are carried out location matches, by comparing eyeball, the position at face being judged, eyeball is to positioning scenarios.
Preferably by glasses recognizer, detection model is distinguished whether image has glasses by described eyeball.
Preferably the alarm of described step C includes: screen displaying character alerts or sends sound alarm.
Preferably described photographic head includes the built-in photographic head of screen and the photographic head as extra members.
A kind of automatic prompter has hallucinations the system of screen distance, including photographic head, for by the image of camera collection user, and image is carried out pretreatment, and pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；Electronic equipment, for performing following step: the image collected is processed, face is gone out including by Face datection model orientation, by eyeball detection model oriented eyeball to and obtain image eye distance (r) of user, calculate age of user by age recognition unit and export user's eye distance (R) according to age of user；The focal length (f) of combining image eye distance (r), user's eye distance (R) and photographic head, utilizing formula D=(R*f)/r calculates human eye to screen distance (D), relatively human eye to screen distance (D) and points out threshold value, if human eye to screen distance (D) less than pointing out threshold value; issue the user with alarm.
A kind of automatic prompter has hallucinations the system of screen distance, including: image capture module, it is configured to pass the image of camera collection user, and image is carried out pretreatment, pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；Image processing module, it is configured to the image to collecting process, face is gone out including by Face datection model orientation, by eyeball detection model oriented eyeball to and obtain image eye distance (r) of user, calculate age of user by age recognition unit and export user's eye distance (R) according to age of user；Alarm module, it is configured to the focal length (f) of combining image eye distance (r), user's eye distance (R) and photographic head, utilizing formula D=(R*f)/r calculates human eye to screen distance (D), relatively human eye to screen distance (D) and points out threshold value, if human eye to screen distance (D) less than pointing out threshold value; issue the user with alarm.
The present invention adopts recognition of face, eyeball to identifying and the age identifies, by recognition of face and eyeball to carrying out the accuracy that location comparison increases the location of eyeball pair, is identified by the age and makes the more suitable teenager of prompt facility, plays effect of protection user's vision.
Accompanying drawing explanation
Fig. 1 is that automatic prompter according to embodiments of the present invention has hallucinations the method schematic diagram of screen distance；
Fig. 2 is that automatic prompter according to embodiments of the present invention has hallucinations system 1 schematic diagram of screen distance；
Fig. 3 is that automatic prompter according to embodiments of the present invention has hallucinations system 2 schematic diagram of screen distance
Fig. 4 is that automatic prompter according to embodiments of the present invention has hallucinations screen distance schematic flow sheet；
Fig. 5 is that eyeball according to embodiments of the present invention is to correction schematic diagram.
Detailed description of the invention
Below in conjunction with specific embodiment, the present invention is described in detail.
According to the first embodiment of the present invention, a kind of automatic prompter has hallucinations the method for screen distance, as Fig. 1 includes: A, image by camera collection user, and image is carried out pretreatment, pretreatment includes image is carried out denoising and enhancing, to improve discrimination power to face and eyeball pair, by the camera collection image to electronic equipment user；B, the image collected is processed, go out face including by Face datection model orientation；By eyeball detection model oriented eyeball to and obtain the image eye distance r of user, eyeball is to namely paired eyes, by positioning the position of eyeball pair, it is improved to by the single eyes of existing detection and first determines that pair of eyes measures eye distance again, reduce false failure rate, improve identification, improve efficiency；Calculate age of user by age recognition unit and export user eye distance R according to age of user, now with a variety of age recognition methodss, as found out, by recognition of face, several face templates that similarity is higher, contrast at different age group image, it is weighted by calculating, thus calculating the age of evaluation object, age recognition unit calculates the age of user by age recognition methods, age according to the user calculated, in conjunction with the data of different age group user's eye distance, calculates true eye distance and the user eye distance R of user；The focal distance f of C, combining image eye distance r, user eye distance R and photographic head, utilizing formula to obtain human eye to screen distance D, formula is D=(R*f)/r, compares D and prompting threshold value, if D is less than prompting threshold value, issuing the user with alarm, wherein f is the focal length extracted from photographic head hardware.
When step B does not orient eyeball pair, then start to identify the local feature of the face in image, if local feature is identified and does not orient whole face, then it is judged as face distance less than pointing out threshold value (in time occurring that face distance screen is too near, may result in the eyeball situation to all can not positioning with face, in order to this situation and user do not use screen area separately, by to simple eye, eyebrow, the local feature of the faces such as nose is identified, if a number of local feature can only be identified, and cannot recognize that whole face, then think that distance is too near, alert).
When the local feature of face does not have identified, return step A.
Detection model is the model for image recognition pre-set by the Face datection model of described step B and eyeball, and described prompting threshold value is the human eye safe distance to screen of setting.
Described step B also includes the correction of eyeball pair: eyeball pair described in step B and face carry out location matches, by comparing eyeball, the position at face being judged, eyeball is to positioning scenarios.
The alarm of described step C includes: screen displaying character alerts or send sound alarm (considering the needs of user, alarm can be independent word, independent sound or both have).
Described photographic head includes the built-in photographic head of screen and the photographic head as extra members.
A kind of automatic prompter has hallucinations the system 1 of screen distance, a kind of automatic prompter has hallucinations the system 1 of screen distance as shown in Figure 2, including: photographic head (1a), for gathering the image of user, and image is carried out pretreatment, pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；Electronic equipment (1b), for performing following step: the image collected is processed, face is gone out including by Face datection model orientation, by eyeball detection model oriented eyeball to and obtain image eye distance (r) of user, calculate age of user by age recognition unit and export user's eye distance (R) according to age of user；The focal length (f) of combining image eye distance (r), user's eye distance (R) and photographic head, utilizing formula D=(R*f)/r calculates human eye to screen distance (D), relatively human eye to screen distance (D) and points out threshold value, if human eye to screen distance (D) less than pointing out threshold value; issue the user with alarm.
A kind of automatic prompter has hallucinations the system 2 of screen distance, a kind of automatic prompter has hallucinations the system 2 of screen distance as shown in Figure 3, including: external image capture module (2a), it is configured to pass the image of camera collection user, and image is carried out pretreatment, pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；Image processing module (2b), is configured to the image to collecting and processes, go out face including by Face datection model orientation；By eyeball detection model oriented eyeball to and obtain the image eye distance r of user；Calculate age of user by age recognition unit and export user eye distance R according to age of user；Alarm module (2c), it is configured to the focal distance f of combining image eye distance r, user eye distance R and photographic head, formula is utilized to obtain human eye to screen distance D, formula is D=(R*f)/r, relatively D and prompting threshold value, if D is less than prompting threshold value, issuing the user with alarm, wherein f is the focal length extracted from photographic head hardware.
Consider that part electronic equipment hardware performance is limited in other embodiments, system can be saved eyeball and positioning correcting, age are identified and closely 3 modules of pattern, improve arithmetic speed, as the suitability at different performance equipment of " low the join version " ensuring method.
According to the second embodiment of the present invention, flow chart as shown in Figure 4:
Step S1 initializes system, starts front-facing camera, reads photographic head focal distance f from hardware simultaneously；
Step S2 reads a current two field picture (unsuccessful reading then process ends) by panel computer front-facing camera, and carries out suitable image noise reduction and enhancement pretreatment；
Step S3 passes through eyeball set in advance to the position of the eyeball pair of human eye in detection model network for location picture.If finding, then enter step S4；If not finding, then it is assumed that active user does not use panel computer, entering step S2 and re-reading next frame；
It is to be appreciated that " model " of indication herein is all obtained by pattern recognition training, it is possible to be accurately positioned the target in image.Detection model is included human eye eyeball in the 2 kinds of situations do not worn glasses and wear glasses to detection model by the eyeball in step S3, is able in the image of detection different situations eyeball to position.
Step S4 is first with the face in Face datection model orientation image, and result is surveyed in position relative relation verification location by recycling face and eyeball, and debug detects, obtain accurately eyeball to position；Then pass through the interpupillary distance r that position is calculated in image by eyeball；Identify the face age afterwards, and according to the true interpupillary distance R of estimation of Age.
In practice, by existing result of study: the interpupillary distance of the people of same age is generally all sufficiently close to meansigma methods, and error is less than 10%.But teenager is owing to not yet growing completely, and interpupillary distance is significantly less than adult；When entering adult, interpupillary distance no longer changes.So the present invention proposes to utilize the age to identify estimates the actual interpupillary distance of user, to improve calculating exactness.
Step S5 has been obtained for necessary data, including the actual interpupillary distance estimated value R of the interpupillary distance r in photographic head focal distance f, image and user, then formula can be utilized to calculate human eye to screen distance D, and formula is as follows:
Step S6 compares human eye to screen distance and predetermined threshold value, if less than threshold value, then issues the user with alarm (as captions are pointed out)；Otherwise, do not alert and enter S2.Wherein threshold value presets, but accepts user and arrange from Row sum-equal matrix.
Step S31 is pattern closely.As eyes of user and screen distance excessively near (less than 10cm), photographic head often cannot obtain user's full facial image, and this pattern is by image processing techniques analyzes in image whether there is the bigger face local feature of several areas (including single eyes, nose and left and right eyebrow etc.).If there is a number of (such as more than 2) bigger local feature, directly alert；If closely pattern is also without alarm, then it is assumed that active user does not use flat board.Return step S2 afterwards to continue.
According to the third embodiment of the invention, as it is shown in figure 5, testing result is corrected by eyeball:
One concrete testing result, its center K1 represents the human face region detected, frame K2 represents the human eye eyeball detected to region, and frame K3 represents most probable in reality and is mistakenly detected as the region of eyeball pair.Obviously can utilizing the relative position relation debug detection region of face and eyeball pair, namely square frame K2 should be positioned at the first half of face square frame K1 by eyeball.Considering that each detector has the accuracy of 90%, i.e. the error rate of 0.1, after being corrected by the method, namely lower error rate is 0.1*0.1=0.01, fullys meet instructions for use, and its center K1 is face, and frame K2 is eyeball pair, and frame K3 is error detection.
The above, simply presently preferred embodiments of the present invention, the invention is not limited in above-mentioned embodiment, as long as it reaches the technique effect of the present invention with identical means, all should belong to protection scope of the present invention.In protection scope of the present invention, its technical scheme and/or embodiment can have various different modifications and variations.
Claims (10)
1. automatic prompter has hallucinations a method for screen distance, including:
A, image by camera collection user, and image is carried out pretreatment, pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；
B, the image collected is processed, face is gone out including by Face datection model orientation, by eyeball detection model oriented eyeball to and obtain image eye distance (r) of user, calculate age of user by age recognition unit and export user's eye distance (R) according to age of user；
The focal length (f) of C, combining image eye distance (r), user's eye distance (R) and photographic head, utilizing formula D=(R*f)/r calculates human eye to screen distance (D), relatively human eye to screen distance (D) and points out threshold value, if human eye to screen distance (D) less than pointing out threshold value; issue the user with alarm.
2. a kind of automatic prompter according to claim 1 has hallucinations the method for screen distance, it is characterised in that described step B also includes:
When not orienting eyeball pair, then start to identify the local feature of the face in image；
If identifying local feature and not orienting whole face, then it is judged as that face distance is less than prompting threshold value.
3. a kind of automatic prompter according to claim 2 has hallucinations the method for screen distance, it is characterised in that when the local feature of described face does not have identified, returns step A.
4. a kind of automatic prompter according to claim 1 has hallucinations the method for screen distance, it is characterized in that, detection model is the model for image recognition pre-set by the Face datection model of described step B and eyeball, and described prompting threshold value is the human eye safe distance to screen of setting.
5. a kind of automatic prompter according to claim 1 has hallucinations the method for screen distance, it is characterised in that described step B also includes the correction of eyeball pair:
The eyeball pair oriented and face are carried out location matches, by comparing eyeball, the position at face is judged that eyeball is to positioning scenarios.
6. a kind of automatic prompter according to claim 1 has hallucinations the method for screen distance, it is characterised in that by glasses recognizer, detection model is distinguished whether image has glasses by described eyeball.
7. a kind of automatic prompter according to claim 1 has hallucinations the method for screen distance, it is characterised in that described alarm includes: screen displaying character alarm or send sound alarm.
8. a kind of automatic prompter according to claim 1 has hallucinations the method for screen distance, it is characterised in that described photographic head includes the built-in photographic head of screen and the photographic head as extra members.
9. automatic prompter has hallucinations a system for screen distance, including:
Photographic head, by the image of camera collection user, and carries out pretreatment to image, and pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；
Electronic equipment, is used for performing operations described below:
The image collected is processed, face is gone out including by Face datection model orientation, by eyeball detection model oriented eyeball to and obtain image eye distance (r) of user, calculate age of user by age recognition unit and export user's eye distance (R) according to age of user；
The focal length (f) of combining image eye distance (r), user's eye distance (R) and photographic head, utilizing formula D=(R*f)/r calculates human eye to screen distance (D), relatively human eye to screen distance (D) and points out threshold value, if human eye to screen distance (D) less than pointing out threshold value; issue the user with alarm.
10. automatic prompter has hallucinations a system for screen distance, including:
Image capture module, is configured to pass the image of camera collection user, and image is carried out pretreatment, and pretreatment includes image is carried out denoising and enhancing, to improve the discrimination power to face and eyeball pair；
Image processing module, it is configured to the image to collecting process, face is gone out including by Face datection model orientation, by eyeball detection model oriented eyeball to and obtain image eye distance (r) of user, calculate age of user by age recognition unit and export user's eye distance (R) according to age of user；
Alarm module, it is configured to the focal length (f) of combining image eye distance (r), user's eye distance (R) and photographic head, utilizing formula D=(R*f)/r calculates human eye to screen distance (D), relatively human eye to screen distance (D) and points out threshold value, if human eye to screen distance (D) less than pointing out threshold value; issue the user with alarm.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610128591.XA CN105759971A (en) | 2016-03-08 | 2016-03-08 | Method and system for automatically prompting distance from human eyes to screen |
| PCT/CN2016/105630 WO2017152649A1 (en) | 2016-03-08 | 2016-11-14 | Method and system for automatically prompting distance from human eyes to screen |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610128591.XA CN105759971A (en) | 2016-03-08 | 2016-03-08 | Method and system for automatically prompting distance from human eyes to screen |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105759971A true CN105759971A (en) | 2016-07-13 |
Family
ID=56332671
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610128591.XA Pending CN105759971A (en) | 2016-03-08 | 2016-03-08 | Method and system for automatically prompting distance from human eyes to screen |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105759971A (en) |
| WO (1) | WO2017152649A1 (en) |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106919256A (en) * | 2017-02-27 | 2017-07-04 | 深圳市金立通信设备有限公司 | A kind of method and terminal of protection terminal user's eye health |
| WO2017152649A1 (en) * | 2016-03-08 | 2017-09-14 | 珠海全志科技股份有限公司 | Method and system for automatically prompting distance from human eyes to screen |
| CN107748642A (en) * | 2017-11-07 | 2018-03-02 | 广东欧珀移动通信有限公司 | Adjust method, apparatus, storage medium and the electronic equipment of picture |
| CN109191802A (en) * | 2018-07-20 | 2019-01-11 | 北京旷视科技有限公司 | Method, apparatus, system and storage medium for sight protectio prompt |
| CN109816718A (en) * | 2017-11-22 | 2019-05-28 | 腾讯科技（深圳）有限公司 | A kind of method, apparatus and storage medium of play cuing |
| CN109977727A (en) * | 2017-12-27 | 2019-07-05 | 广东欧珀移动通信有限公司 | Sight protectio method, apparatus, storage medium and mobile terminal |
| CN109993029A (en) * | 2017-12-29 | 2019-07-09 | 上海聚虹光电科技有限公司 | Blinkpunkt model initialization method |
| CN110162232A (en) * | 2018-02-11 | 2019-08-23 | ***通信集团终端有限公司 | Screen display method, device, equipment and storage medium with display screen |
| CN110660202A (en) * | 2019-09-27 | 2020-01-07 | 攀枝花学院 | Anti-myopia sensing method and device |
| CN110784600A (en) * | 2019-11-28 | 2020-02-11 | 西南民族大学 | Device and method for detecting distance between human eyes and mobile phone |
| CN110801229A (en) * | 2019-11-15 | 2020-02-18 | 英华达（上海）科技有限公司 | Eyesight protection monitoring method, system, equipment and storage medium |
| CN111104909A (en) * | 2019-12-20 | 2020-05-05 | 深圳市商汤科技有限公司 | Image processing method, image processing device, computer equipment and storage medium |
| CN112286347A (en) * | 2020-09-30 | 2021-01-29 | 北京大米科技有限公司 | Eyesight protection method, device, storage medium and terminal |
| CN112525352A (en) * | 2020-11-24 | 2021-03-19 | 深圳市高巨创新科技开发有限公司 | Infrared temperature measurement compensation method based on face recognition and terminal |
| WO2021056177A1 (en) * | 2019-09-24 | 2021-04-01 | Citrix Systems, Inc. | Systems and methods for screen brightness control and auto-lock based on eye detection |
| CN113029018A (en) * | 2021-02-03 | 2021-06-25 | 深圳市优必选科技股份有限公司 | Eye protection prompting method and device, terminal equipment and computer readable storage medium |
| CN113625928A (en) * | 2021-07-13 | 2021-11-09 | 重庆翰博显示科技研发中心有限公司 | Automatic screen display adjusting system and method |
| US20220060618A1 (en) * | 2012-07-20 | 2022-02-24 | Pixart Imaging Inc. | Electronic system with eye protection in response to user distance |
| CN114202741A (en) * | 2021-12-13 | 2022-03-18 | 中国平安财产保险股份有限公司 | User learning monitoring method and device, computer equipment and storage medium |
| CN114625456A (en) * | 2020-12-11 | 2022-06-14 | 腾讯科技（深圳）有限公司 | Target image display method, device and equipment |
| CN114942712A (en) * | 2022-06-16 | 2022-08-26 | 北京奇艺世纪科技有限公司 | Prompt message generation method and device, electronic equipment and storage medium |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109376595B (en) * | 2018-09-14 | 2023-06-23 | 杭州宇泛智能科技有限公司 | Monocular RGB camera living body detection method and system based on human eye attention |
| CN109977799B (en) * | 2019-03-07 | 2022-12-20 | 腾讯科技（深圳）有限公司 | Method, device and terminal for monitoring distance between human eyes and screen |
| CN110781712B (en) * | 2019-06-12 | 2023-05-02 | 上海荟宸信息科技有限公司 | Human head space positioning method based on human face detection and recognition |
| CN111027517A (en) * | 2019-12-26 | 2020-04-17 | 陈欣然 | Sitting posture correction reminding system and method based on vision and application |
| CN111444789B (en) * | 2020-03-12 | 2023-06-20 | 深圳市时代智汇科技有限公司 | Myopia prevention method and system based on video induction technology |
| CN113012407A (en) * | 2021-02-18 | 2021-06-22 | 上海电机学院 | Eye screen distance prompt myopia prevention system based on machine vision |
| CN113456022A (en) * | 2021-07-01 | 2021-10-01 | 河北北方学院 | Vision monitoring file management system and method based on big data fitting |
| CN113807252B (en) * | 2021-09-17 | 2024-01-26 | 东胜神州旅游管理有限公司 | Method and system for intelligently controlling child using screen terminal |
| CN113808207B (en) * | 2021-09-17 | 2024-01-23 | 东胜神州旅游管理有限公司 | Binocular range finding method and system for aiming at children |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101192270A (en) * | 2007-11-08 | 2008-06-04 | 北京中星微电子有限公司 | Display, device and method for accomplishing sight protection |
| CN103793719A (en) * | 2014-01-26 | 2014-05-14 | 深圳大学 | Monocular distance-measuring method and system based on human eye positioning |
| CN104076925A (en) * | 2014-06-30 | 2014-10-01 | 天马微电子股份有限公司 | Method for reminding user of distance between eyes and screen |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201222429A (en) * | 2010-11-23 | 2012-06-01 | Inventec Corp | Web camera device and operating method thereof |
| CN105759971A (en) * | 2016-03-08 | 2016-07-13 | 珠海全志科技股份有限公司 | Method and system for automatically prompting distance from human eyes to screen |
-
2016
- 2016-03-08 CN CN201610128591.XA patent/CN105759971A/en active Pending
- 2016-11-14 WO PCT/CN2016/105630 patent/WO2017152649A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101192270A (en) * | 2007-11-08 | 2008-06-04 | 北京中星微电子有限公司 | Display, device and method for accomplishing sight protection |
| CN103793719A (en) * | 2014-01-26 | 2014-05-14 | 深圳大学 | Monocular distance-measuring method and system based on human eye positioning |
| CN104076925A (en) * | 2014-06-30 | 2014-10-01 | 天马微电子股份有限公司 | Method for reminding user of distance between eyes and screen |
Cited By (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11616906B2 (en) * | 2012-07-20 | 2023-03-28 | Pixart Imaging Inc. | Electronic system with eye protection in response to user distance |
| US20220060618A1 (en) * | 2012-07-20 | 2022-02-24 | Pixart Imaging Inc. | Electronic system with eye protection in response to user distance |
| WO2017152649A1 (en) * | 2016-03-08 | 2017-09-14 | 珠海全志科技股份有限公司 | Method and system for automatically prompting distance from human eyes to screen |
| CN106919256A (en) * | 2017-02-27 | 2017-07-04 | 深圳市金立通信设备有限公司 | A kind of method and terminal of protection terminal user's eye health |
| CN107748642B (en) * | 2017-11-07 | 2020-04-10 | Oppo广东移动通信有限公司 | Method and device for adjusting picture, storage medium and electronic equipment |
| CN107748642A (en) * | 2017-11-07 | 2018-03-02 | 广东欧珀移动通信有限公司 | Adjust method, apparatus, storage medium and the electronic equipment of picture |
| CN109816718A (en) * | 2017-11-22 | 2019-05-28 | 腾讯科技（深圳）有限公司 | A kind of method, apparatus and storage medium of play cuing |
| CN109977727A (en) * | 2017-12-27 | 2019-07-05 | 广东欧珀移动通信有限公司 | Sight protectio method, apparatus, storage medium and mobile terminal |
| CN109993029A (en) * | 2017-12-29 | 2019-07-09 | 上海聚虹光电科技有限公司 | Blinkpunkt model initialization method |
| CN110162232A (en) * | 2018-02-11 | 2019-08-23 | ***通信集团终端有限公司 | Screen display method, device, equipment and storage medium with display screen |
| CN109191802B (en) * | 2018-07-20 | 2021-08-31 | 北京旷视科技有限公司 | Method, device, system and storage medium for eyesight protection prompt |
| CN109191802A (en) * | 2018-07-20 | 2019-01-11 | 北京旷视科技有限公司 | Method, apparatus, system and storage medium for sight protectio prompt |
| US11144120B2 (en) | 2019-09-24 | 2021-10-12 | Citrix Systems, Inc. | Systems and methods for screen brightness control and auto-lock based on eye detection |
| WO2021056177A1 (en) * | 2019-09-24 | 2021-04-01 | Citrix Systems, Inc. | Systems and methods for screen brightness control and auto-lock based on eye detection |
| US11009947B2 (en) | 2019-09-24 | 2021-05-18 | Citrix Systems, Inc. | Systems and methods for screen brightness control and auto-lock based on eye detection |
| CN110660202A (en) * | 2019-09-27 | 2020-01-07 | 攀枝花学院 | Anti-myopia sensing method and device |
| CN110801229A (en) * | 2019-11-15 | 2020-02-18 | 英华达（上海）科技有限公司 | Eyesight protection monitoring method, system, equipment and storage medium |
| CN110784600A (en) * | 2019-11-28 | 2020-02-11 | 西南民族大学 | Device and method for detecting distance between human eyes and mobile phone |
| CN111104909A (en) * | 2019-12-20 | 2020-05-05 | 深圳市商汤科技有限公司 | Image processing method, image processing device, computer equipment and storage medium |
| CN112286347A (en) * | 2020-09-30 | 2021-01-29 | 北京大米科技有限公司 | Eyesight protection method, device, storage medium and terminal |
| CN112525352A (en) * | 2020-11-24 | 2021-03-19 | 深圳市高巨创新科技开发有限公司 | Infrared temperature measurement compensation method based on face recognition and terminal |
| CN114625456B (en) * | 2020-12-11 | 2023-08-18 | 腾讯科技（深圳）有限公司 | Target image display method, device and equipment |
| CN114625456A (en) * | 2020-12-11 | 2022-06-14 | 腾讯科技（深圳）有限公司 | Target image display method, device and equipment |
| CN113029018A (en) * | 2021-02-03 | 2021-06-25 | 深圳市优必选科技股份有限公司 | Eye protection prompting method and device, terminal equipment and computer readable storage medium |
| CN113625928A (en) * | 2021-07-13 | 2021-11-09 | 重庆翰博显示科技研发中心有限公司 | Automatic screen display adjusting system and method |
| CN114202741A (en) * | 2021-12-13 | 2022-03-18 | 中国平安财产保险股份有限公司 | User learning monitoring method and device, computer equipment and storage medium |
| CN114942712A (en) * | 2022-06-16 | 2022-08-26 | 北京奇艺世纪科技有限公司 | Prompt message generation method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017152649A1 (en) | 2017-09-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105759971A (en) | Method and system for automatically prompting distance from human eyes to screen | |
| CA2973393C (en) | A system and a method for image recognition | |
| WO2018028546A1 (en) | Key point positioning method, terminal, and computer storage medium | |
| US8314854B2 (en) | Apparatus and method for image recognition of facial areas in photographic images from a digital camera | |
| CN109657609A (en) | Face identification method and system | |
| CN103793719A (en) | Monocular distance-measuring method and system based on human eye positioning | |
| US9262672B2 (en) | Pattern recognition apparatus and pattern recognition method that reduce effects on recognition accuracy, and storage medium | |
| CN105426827A (en) | Living body verification method, device and system | |
| US11651624B2 (en) | Iris authentication device, iris authentication method, and recording medium | |
| CN105022999A (en) | Man code company real-time acquisition system | |
| CN102867179A (en) | Method for detecting acquisition quality of digital certificate photo | |
| JP2013065119A (en) | Face authentication device and face authentication method | |
| CN103996033B (en) | Human identification method based on tracking of human face five-sense-organ coordinates | |
| CN106778636A (en) | Auth method and device | |
| CN107844742A (en) | Facial image glasses minimizing technology, device and storage medium | |
| US20230135400A1 (en) | Method and system for facial recognition | |
| CN110827432A (en) | Class attendance checking method and system based on face recognition | |
| US20230237694A1 (en) | Method and system for detecting children's sitting posture based on face recognition of children | |
| CN101178769A (en) | Health protecting equipment and realization method thereof | |
| JP2012160001A (en) | Face image authentication apparatus | |
| CN112183443A (en) | Eyesight protection method and device and intelligent glasses | |
| WO2020205981A1 (en) | Adaptive learning and matching of face modalities | |
| CN109558798B (en) | Face recognition method and system based on convolution feature map matching | |
| CN102426644A (en) | Human eye cross localization method based on GentleBoost machine learning | |
| CN103020599A (en) | Identity authentication method based on face |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160713 |
|
| RJ01 | Rejection of invention patent application after publication |