CN106491072A - A kind of human eye diopter grabgraf method based on Android system - Google Patents
A kind of human eye diopter grabgraf method based on Android system Download PDFInfo
- Publication number
- CN106491072A CN106491072A CN201610917406.5A CN201610917406A CN106491072A CN 106491072 A CN106491072 A CN 106491072A CN 201610917406 A CN201610917406 A CN 201610917406A CN 106491072 A CN106491072 A CN 106491072A
- Authority
- CN
- China
- Prior art keywords
- module
- grabgraf
- android system
- infrared lamp
- human eye
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/103—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining refraction, e.g. refractometers, skiascopes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/14—Arrangements specially adapted for eye photography
- A61B3/145—Arrangements specially adapted for eye photography by video means
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Ophthalmology & Optometry (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Multimedia (AREA)
- Studio Devices (AREA)
Abstract
The invention discloses a kind of human eye diopter grabgraf method based on Android system, the method is realized on human eye diopter grabgraf device, human eye diopter grabgraf device includes housing, photographing module, control module, display module, touch screen, Android system, quantity is 6 groups of infrared lamp, range finder module, it is somebody's turn to do the human eye diopter grabgraf method based on Android system, row buffering is entered to the frame of image-signal processor by two class circle queue of software design, then returning to application layer by the callback interface of Android system by entering after line translation to picture format size carries out diopter calculating, support that two-way exports to capture image simultaneously without the need for software application layer, simply, reliable.
Description
Technical field
A kind of the invention belongs to medical electronics technical field, more particularly to human eye diopter grabgraf side based on Android system
Method
Background technology
In current medical electronic technology field, software generally adopts Linux+QT systems, calculates people on such a system
Refraction of eye degree needs the frame for capturing photographic head preview as input, and implementation method is to build two-way output to lead in software frame
Road, is used as screen preview all the way, and another road is calculated as people's refractometer.And ARIXTRA (Android) system employs strict point
Layer and modular software frame, it is difficult to Linux application systems as simply design two-way output like that carrys out capturing pictures,
On Android system, the frame data of photographic head preview passage can not be used simultaneously as the calculation of people's refractometer, can only design special method
Carry out capturing pictures.In view of drawbacks described above, is necessary to design a kind of human eye diopter grabgraf method based on Android system in fact.
Content of the invention
The technical problem to be solved is：A kind of human eye diopter grabgraf side based on Android system is provided
Method, solves the problems, such as that Android system application framework does not support that two-way output carrys out capturing pictures.
For solving above-mentioned technical problem, the technical scheme is that：A kind of human eye diopter based on Android system is grabbed
Drawing method, the method realized on human eye diopter grabgraf device, human eye diopter grabgraf device include housing, photographing module,
Control module, display module, touch screen, Android system, quantity are 6 groups of infrared lamp, range finder module, described photographing module,
Control module, display module, touch screen, infrared lamp, range finder module are connected with housing, described control module respectively with shooting
Module, display module, touch screen, infrared lamp, range finder module are electrically connected, in described Android system write control module, the people
Refraction of eye degree grabgraf method is comprised the following steps：
Step 1)：Start, Android system directly initiate photographing module by control module；
Step 2)：Hand-held and mobile shell, it is ensured that the eyes of detected person are displayed on display module；
Step 3)：START button on point touching screen, starts to detect；
Step 4)：Movable housing, detected by range finder module and positioned the pupil of detected person and photographing module it
Between distance be 1 meter；
Step 5)：After the completion of 1 meter of Distance positioning, start automatic grabgraf, meanwhile, 6 groups of infrared lamps start to light successively, per group
Infrared lamp lighting time is 200ms, and in the 200ms of every group of infrared lamp bright light, photographing module will obtain six two field pictures；
Step 6)：When first group of infrared lamp bright light, photographing module obtains sensitization data, and sends to inside control module
Image-signal processor；
Step 7)：Photographing module preview readjustment thread takes out the original raw data of a frame from image-signal processor and is put into
Circle queue Que (raw).
Step 8)：Photographing module adaptable interface takes out the original raw data of a frame from circle queue Que (raw)；
Step 9)：To step 8) frame that takes out deals with, original raw data turned yuv data and picture size is reduced；
Step 10)：By step 9) process after frame be put into another circle queue Que (yuv)；
Step 11)：Yuv data after taking-up process in circle queue Que (yuv)；
Step 12)：From first group of infrared lamp bright start to obtain in each two field picture, 200ms can obtain six two field pictures altogether,
Image-signal processor takes the 3rd frame and any one two field picture in the 4th frame and does diopter calculating to the application layer of Android system；
Step 13)：When second group of infrared lamp is bright to the 6th group of infrared lamp, repeat step 7 arrive step 12) operation step
Suddenly, human eye diopter grabgraf is completed.
Beneficial effect：The human eye diopter grabgraf method based on Android system is somebody's turn to do, by two class circle queue of software design
Row buffering is entered to the frame of image-signal processor, is returned by Android system by then entering after line translation to picture format size
Adjusting interface to return to application layer carries out diopter calculating, supports that two-way exports to capture image simultaneously without the need for software application layer, letter
List, reliability, efficiency high.
Description of the drawings
Fig. 1 illustrates flow chart of the present invention
Fig. 2 illustrates the present inventor's refraction of eye degree grabgraf apparatus structure schematic diagram
1 photographing module 2 of housing
3 display module 4 of control module
5 Android system (not shown) of touch screen
6 range finder module 7 of infrared lamp
Specific embodiment
Embodiment 1
As shown in Figure 1 and Figure 2, a kind of human eye diopter grabgraf method based on Android system, the method is in human eye diopter
Realize on grabgraf device, human eye diopter grabgraf device includes housing 1, photographing module 2, control module 3, display module 4, touch
Screen 5, Android system, the infrared lamp 6, range finder module 7 that quantity is 6 groups, described photographing module 2, control module 3, display module
4th, touch screen 5, infrared lamp 6, range finder module 7 are connected with housing 1, described control module 3 respectively with photographing module 2, show
Module 4, touch screen 5, infrared lamp 6, range finder module 7 are electrically connected, and in described Android system write control module 3, the human eye is bent
Luminosity grabgraf method is comprised the following steps：
Step 1)：Start, Android system directly initiate photographing module by control module；
Step 2)：Hand-held and mobile shell, it is ensured that the eyes of detected person are displayed on display module；
Step 3)：START button on point touching screen, starts to detect；
Step 4)：Movable housing, detected by range finder module and positioned the pupil of detected person and photographing module it
Between distance be 1 meter；
Step 5)：After the completion of 1 meter of Distance positioning, start automatic grabgraf, meanwhile, 6 groups of infrared lamps start to light successively, per group
Infrared lamp lighting time is 200ms, and in the 200ms of every group of infrared lamp bright light, photographing module will obtain six two field pictures；
Step 6)：When first group of infrared lamp bright light, photographing module obtains sensitization data, and sends to inside control module
Image-signal processor；
Step 7)：Photographing module preview readjustment thread takes out the original raw data of a frame from image-signal processor and is put into
Circle queue Que (raw).
Step 8)：Photographing module adaptable interface takes out the original raw data of a frame from circle queue Que (raw)；
Step 9)：To step 8) frame that takes out deals with, original raw data turned yuv data and picture size is reduced；
Step 10)：By step 9) process after frame be put into another circle queue Que (yuv)；
Step 11)：Yuv data after taking-up process in circle queue Que (yuv)；
Step 12)：From first group of infrared lamp bright start to obtain in each two field picture, 200ms can obtain six two field pictures altogether,
Image-signal processor takes the 4th two field picture and does diopter calculating to the application layer of Android system；
Step 13)：When second group of infrared lamp is bright to the 6th group of infrared lamp, repeat step 7 arrive step 12) operation step
Suddenly, human eye diopter grabgraf is completed.
Embodiment 2
As shown in Figure 1 and Figure 2, a kind of human eye diopter grabgraf method based on Android system, the method is in human eye diopter
Realize on grabgraf device, human eye diopter grabgraf device includes housing 1, photographing module 2, control module 3, display module 4, touch
Screen 5, Android system, the infrared lamp 6, range finder module 7 that quantity is 6 groups, described photographing module 2, control module 3, display module
4th, touch screen 5, infrared lamp 6, range finder module 7 are connected with housing 1, described control module 3 respectively with photographing module 2, show
Module 4, touch screen 5, infrared lamp 6, range finder module 7 are electrically connected, and in described Android system write control module 3, the human eye is bent
Luminosity grabgraf method is comprised the following steps：
Step 1)：Start, Android system directly initiate photographing module by control module；
Step 2)：Hand-held and mobile shell, it is ensured that the eyes of detected person are displayed on display module；
Step 3)：START button on point touching screen, starts to detect；
Step 4)：Movable housing, detected by range finder module and positioned the pupil of detected person and photographing module it
Between distance be 1 meter；
Step 5)：After the completion of 1 meter of Distance positioning, start automatic grabgraf, meanwhile, 6 groups of infrared lamps start to light successively, per group
Infrared lamp lighting time is 200ms, and in the 200ms of every group of infrared lamp bright light, photographing module will obtain six two field pictures；
Step 6)：When first group of infrared lamp bright light, photographing module obtains sensitization data, and sends to inside control module
Image-signal processor；
Step 7)：Photographing module preview readjustment thread takes out the original raw data of a frame from image-signal processor and is put into
Circle queue Que (raw).
Step 8)：Photographing module adaptable interface takes out the original raw data of a frame from circle queue Que (raw)；
Step 9)：To step 8) frame that takes out deals with, original raw data turned yuv data and picture size is reduced；
Step 10)：By step 9) process after frame be put into another circle queue Que (yuv)；
Step 11)：Yuv data after taking-up process in circle queue Que (yuv)；
Step 12)：From first group of infrared lamp bright start to obtain in each two field picture, 200ms can obtain six two field pictures altogether,
Image-signal processor takes the 3rd two field picture and does diopter calculating to the application layer of Android system；
Step 13)：When second group of infrared lamp is bright to the 6th group of infrared lamp, repeat step 7 arrive step 12) operation step
Suddenly, human eye diopter grabgraf is completed.
The present invention is not limited to above-mentioned specific embodiment, one of ordinary skill in the art from above-mentioned design,
Without performing creative labour, a variety of conversion that is made, it is within the scope of the present invention.
Claims (1)
1. a kind of human eye diopter grabgraf method based on Android system, the method realized on human eye diopter grabgraf device,
Human eye diopter grabgraf device includes that housing, photographing module, control module, display module, touch screen, Android system, quantity are 6
The infrared lamp of group, range finder module, described photographing module, control module, display module, touch screen, infrared lamp, range finder module are equal
Be connected with housing, described control module respectively with photographing module, display module, touch screen, infrared lamp, range finder module electricity phase
Even, in described Android system write control module, it is characterised in that the human eye diopter grabgraf method is comprised the following steps：
Step 1)：Start, Android system directly initiate photographing module by control module；
Step 2)：Hand-held and mobile shell, it is ensured that the eyes of detected person are displayed on display module；
Step 3)：START button on point touching screen, starts to detect；
Step 4)：Movable housing, is detected by range finder module and is positioned between the pupil of detected person and photographing module
Distance is 1 meter；
Step 5)：After the completion of 1 meter of Distance positioning, start automatic grabgraf, meanwhile, 6 groups of infrared lamps start to light successively, and per group is infrared
Lamp lighting time is 200ms, and in the 200ms of every group of infrared lamp bright light, photographing module will obtain six two field pictures；
Step 6)：When first group of infrared lamp bright light, photographing module obtains sensitization data, and sends the figure inside control module to
As signal processor；
Step 7)：Photographing module preview readjustment thread takes out the original raw data of a frame from image-signal processor and is put into annular
Queue Que (raw).
Step 8)：Photographing module adaptable interface takes out the original raw data of a frame from circle queue Que (raw)；
Step 9)：To step 8) frame that takes out deals with, original raw data turned yuv data and picture size is reduced；
Step 10)：By step 9) process after frame be put into another circle queue Que (yuv)；
Step 11)：Yuv data after taking-up process in circle queue Que (yuv)；
Step 12)：From first group of infrared lamp bright start to obtain in each two field picture, 200ms can obtain altogether six two field pictures, image
Signal processor takes the 3rd frame and any one two field picture in the 4th frame and does diopter calculating to the application layer of Android system；
Step 13)：When second group of infrared lamp is bright to the 6th group of infrared lamp, repeat step 7 arrive step 12) operating procedure, complete
Adult's refraction of eye degree grabgraf.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610917406.5A CN106491072A (en) | 2016-10-20 | 2016-10-20 | A kind of human eye diopter grabgraf method based on Android system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610917406.5A CN106491072A (en) | 2016-10-20 | 2016-10-20 | A kind of human eye diopter grabgraf method based on Android system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106491072A true CN106491072A (en) | 2017-03-15 |
Family
ID=58318165
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610917406.5A Pending CN106491072A (en) | 2016-10-20 | 2016-10-20 | A kind of human eye diopter grabgraf method based on Android system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106491072A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107890336A (en) * | 2017-12-05 | 2018-04-10 | 中南大学 | Diopter detecting system based on intelligent handheld device |
-
2016
- 2016-10-20 CN CN201610917406.5A patent/CN106491072A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107890336A (en) * | 2017-12-05 | 2018-04-10 | 中南大学 | Diopter detecting system based on intelligent handheld device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020017927A1 (en) | System and method for hybrid eye tracker | |
| CN103729981B (en) | A kind of child sitting gesture monitoring intelligent terminal | |
| US9852339B2 (en) | Method for recognizing iris and electronic device thereof | |
| US20160139664A1 (en) | Line-of-sight processing method, line-of-sight processing system and wearable device | |
| CN102622108A (en) | Interactive projecting system and implementation method for same | |
| CN106952252B (en) | Skin imaging system based on three spectrums | |
| US20140176777A1 (en) | Method for controlling electronic device and electronic device | |
| CN102063231A (en) | Non-contact electronic whiteboard system and detection method based on image detection | |
| CN106151955A (en) | A kind of intelligent desk lamp | |
| CN106264444A (en) | A kind of human eye method for detecting diopter of high robust | |
| CN110119208A (en) | Suspend display imaging device and the display touch control method that suspends | |
| CN110245362A (en) | A kind of translating equipment and translation system | |
| CN106491072A (en) | A kind of human eye diopter grabgraf method based on Android system | |
| US10009545B2 (en) | Image processing apparatus and method of operating the same | |
| CN108830160B (en) | Facial feature acquisition method, mobile terminal and storage medium | |
| WO2021078145A1 (en) | Wireless sensing facial recognition device based on living body sensing and movement trend detection | |
| CN202584030U (en) | Interactive projection system and shooting game equipment | |
| US11144755B2 (en) | Support glint for remote eye tracking | |
| CN204795269U (en) | Can realize remote control's two -way camera in portable front and back | |
| CN103123553A (en) | Multi-touch point image identification interactive system | |
| CN203720518U (en) | Projection system with monitoring device | |
| CN203324924U (en) | Wall-surface interactive system | |
| CN104601900A (en) | Image data acquisition method for intelligent interactive micro-projection device | |
| CN201497977U (en) | Photoelectric interaction white board device capable of switching light filter | |
| CN103713729B (en) | Man-machine interactive system and infrared image trap setting |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170315 |