CN110784600A - Device and method for detecting distance between human eyes and mobile phone - Google Patents

Abstract

The invention discloses a device and method for detecting the distance between the human eye and the mobile phone; a device for detecting the distance between the human eye and the mobile phone, the device comprises: a front camera and an embedded system; and is characterized in that: an embedded system The system is provided with an information input module for the user to input information; the information input module transmits the user's information to the distance calculation module; the feature extraction module is used to extract the user's eyes from the image signal collected by the front camera by using the face recognition method and output the feature point data to the distance calculation module; the distance calculation module is used to extract the feature point data of the user's eyes, calculate the distance between the two inner corners of the user's eyes collected by the camera, and then according to the two The distance data between the inner corners of the eyes, the user's information data and the experimental data stored in the calculation module calculate the distance between the human eye and the mobile phone screen; the invention can be widely used in mobile phones, computers and other equipment.

Description

Device and method for detecting distance between human eye and mobile phone

technical field

The invention relates to distance detection, in particular to a device and method for detecting the distance between human eyes and a mobile phone.

Background technique

There are currently more than 20 mobile apps or small programs for measuring vision. All use the national standard visual acuity test table. That is to tell the user to keep his eyes 40cm away from the mobile phone screen, and then judge the user's vision by changing the optotype. However, it is difficult for users to judge the exact distance between their eyes and the screen of the mobile phone, so the test results are difficult to be accurate.

SUMMARY OF THE INVENTION

Aiming at the shortcomings of the prior art, the present invention proposes a device and method for detecting the distance between the human eye and the mobile phone.

The first technical solution of the present invention is: a device for detecting the distance between human eyes and a mobile phone, the device comprising: a front camera and an embedded system.

The front camera is used to collect the user's face image and output the face image signal to the embedded system.

It is characterized in that: the embedded system is provided with:

The information input module is used for the user to input information; the information input by the user includes age, gender, etc.; the information input module transmits the user's information to the distance calculation module;

The feature extraction module is used to extract the feature points of the user's eyes from the image signal collected by the front camera by using the face recognition method, and output the feature point data to the distance calculation module.

The distance calculation module is used to extract the feature point data of the user's eyes, calculate the distance between the two inner corners of the user collected by the camera, and then according to the distance data between the two inner corners and the user's information data and calculation module The experimental data stored in the device calculates the distance between the human eye and the mobile phone screen, and outputs the distance data to the judgment module;

Judgment module: It is used to judge whether the distance between the human eye and the mobile phone meets the specified requirements according to the distance data, and output the detection result to the mobile phone screen for display through the display driver module.

According to a preferred solution of the device for detecting the distance between the human eye and the mobile phone according to the present invention, the device further includes a voice broadcast module. The judgment module outputs the detection result to the speaker through the voice broadcast module for voice broadcast.

The second technical scheme of the present invention is, a kind of method for detecting the distance between human eyes and mobile phone, it is characterized in that, this method comprises the steps:

A. the user inputs information in the information input module, and the information input by the user includes age, gender, etc.; the information input module transmits the user's information to the distance calculation module 22;

B. Use the front camera to collect the user's face image, and output the face image signal to the image acquisition module.

C. Using the face recognition method, extract the feature points of the user's eyes from the image signal collected by the front camera, and output the feature point data to the distance calculation module.

D. The distance calculation module uses the extracted feature point data of the user's eyes to calculate the distance between the two inner corners of the user collected by the camera, and then according to the distance data between the two inner corners and the user's information data and the calculation module The experimental data stored in the computer calculates the distance between the human eye and the mobile phone screen, and outputs the distance data to the judgment module.

E. The judgment module judges whether the distance between the human eye and the mobile phone meets the specified requirements according to the distance data, and outputs the detection result to the mobile phone screen for display through the display drive module.

According to a preferred scheme of the method for detecting the distance between human eyes and mobile phone according to the present invention, the method also includes:

F. The judgment module outputs the detection result to the speaker through the voice broadcast module for voice broadcast.

The beneficial effects of the vision detection device and method based on the recognition of human skeleton key points of the present invention are: the present invention uses the front camera to collect the user's face image, captures the features of both eyes through the face feature point recognition algorithm, and uses the camera Information such as focal length calculates the distance from the human eye to the camera, thereby prompting the user to maintain the standard distance more accurately, improving the accuracy of the vision test, and protecting the eyes. The invention can be widely used in mobile phones, computers and other equipment.

Description of drawings

Fig. 1 is a principle block diagram of a device for detecting the distance between human eyes and a mobile phone according to the present invention.

Detailed ways

The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific implementation examples. However, it should be noted that the implementation of the present invention is not limited to the following embodiments.

Referring to Figure 1, a device for detecting the distance between human eyes and a mobile phone includes: a front camera 1 and an embedded system 2.

The front camera 1 is used to collect the user's face image and output the face image signal to the embedded system 2.

Embedded system 2 is provided with:

The information input module 26 is used for the user to input information; the information input by the user includes age, gender, etc.; the information input module transmits the user's information to the distance calculation module 22;

The feature extraction module 21 is used to utilize the face recognition method to extract the feature points of the user's eyes from the image signal collected by the front camera 5, and output the feature point data to the distance calculation module 22.

The distance calculation module 22 is used to extract the feature point data of the user's eyes, calculates the distance between the two inner corners of the user collected by the camera 5, and then according to the distance data between the two inner corners and the user's information data and The experimental data stored in the calculation module 22 calculates the distance between the human eye and the screen of the mobile phone, and outputs the distance data to the judgment module 23 .

Judging module 23: for judging whether the distance between the human eye and the mobile phone meets the specified requirements according to the distance data, and outputting the detection result to the mobile phone screen 3 for display through the display driving module 24.

A method for detecting the distance between a human eye and a mobile phone, the method comprising the following steps:

A. the user inputs information in the information input module, and the information input by the user includes age, gender, etc.; the information input module transmits the user's information to the distance calculation module 22;

B. Use the front camera 5 to collect the user's face image, and output the face image signal to the image acquisition module 21.

C. utilize face recognition method to extract the feature points of the user's eyes to the image signal collected by the front camera 5, and output the feature point data to the distance calculation module 22.

The feature points of both eyes mainly include the inner canthus and the outer canthus.

D. the distance calculation module 22 utilizes the feature point data of the extracted user's eyes to calculate the distance between the two inner corners of the user's eyes collected by the camera 5, and then according to the distance data between the two inner corners and the user's information data and The experimental data stored in the calculation module 22 calculates the distance between the human eye and the screen of the mobile phone, and outputs the distance data to the judgment module 23 .

A large amount of experimental data is first stored in the distance calculation module 22, and these experimental data include: when the distance between the human eye and the screen is a set distance L, the distance between the two inner corners of the eyes of people of different ages and genders collected by the camera 5 Data; when calculating the distance, it can be assumed that the distance between the two inner corners of the eyes of people of the same age and gender is fixed, and the camera is set to use 1X zoom. Since the size of the collected image is inversely proportional to the distance, the closer the distance, the better the image. The larger the value, the distance between the human eye and the mobile phone screen can be calculated according to the proportional relationship.

For example, the distance calculation module 22 stores the distances between the two inner corners of the eyes of 18-, 19-, and 20-year-old women as 2cm, 2.1cm, and 2.1cm when the set distance between the human eyes and the screen is 40cm. Now the distance between the two inner corners of the 18-year-old female user collected by the camera 5 is 4cm, then according to the inverse relationship, the distance x between the human eye of the 18-year-old female user and the mobile phone screen can be calculated as:

40: x = 4: 2 x = 20cm

E. The judgment module 23 judges whether the distance between the human eye and the mobile phone meets the specified requirements according to the distance data, and if the measured distance is less than the set distance, it will prompt "the distance is too close". If the measured distance is greater than the set distance, then prompt "the distance is too far, if the measured distance is approximately equal to the set distance, then start the vision test. And the detection result is output to the mobile phone screen 3 to display through the display drive module 24.

F. The judgment module 23 outputs the detection result to the speaker 4 through the voice broadcast module 25 for voice broadcast.

In addition, in a specific embodiment, the calculation of the distance needs to be repeated many times, that is, within a set time, several pictures are selected to extract the feature point data of both eyes, and the distance between the human eye and the mobile phone is calculated respectively. Only when the number of times the distance meets the specified requirements reaches the set value, the conclusion that the distance between the human eye and the mobile phone meets the specified requirements can be drawn. Similarly, the conclusions about "too close" and "too far" are also drawn through multiple calculations and judgments.

Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, The scope of the invention is defined by the claims and their equivalents.

Claims (4)

1. A device for detecting the distance between human eyes and a mobile phone, the device comprising: a front camera (1) and an embedded system (2); The front camera (1) is used to collect the user's face image, and output the face image signal to the embedded system (2); It is characterized in that: the embedded system (2) is provided with: an information input module (26) for the user to input information; the information input module (26) transmits the user's information to the distance calculation module (22); A feature extraction module (21) is used to extract the feature points of the user's eyes from the image signal collected by the front camera (5) by utilizing the face recognition method, and output the feature point data to the distance calculation module (22); The distance calculation module (22) is used to extract the feature point data of the user's eyes, calculates the distance between the two inner corners of the user collected by the camera (5), and then calculates the distance between the two inner corners according to the distance data between the two inner corners of the user and the user. The information data and the experimental data stored in the calculation module (22) calculate the distance between the human eye and the mobile phone screen, and output the distance data to the judgment module (23); Judging module (23): for judging whether the distance between the human eye and the mobile phone meets the specified requirements according to the distance data, and outputting the detection result to the mobile phone screen (3) for display through the display driving module (24). 2. a kind of device that detects human eye and mobile phone distance according to claim 1, is characterized in that: this device also comprises voice broadcast module (3); Judging module (23) will detect result by voice broadcast module (3) 25) Output to the speaker (4) for voice broadcast. 3. A method for detecting the distance between human eyes and mobile phone, characterized in that the method comprises the steps: A. the user inputs information in the information input module (26), and the information input by the user includes age, gender, etc.; the information input module (26) transmits the user's information to the distance calculation module (22); B. use the front camera (5) to collect the user's face image, and output the face image signal to the image acquisition module (21); C. Utilize the face recognition method to extract the feature points of the user's eyes from the image signal collected by the front camera (5), and output the feature point data to the distance calculation module (22); D. The distance calculation module (22) uses the extracted feature point data of the user's eyes to calculate the distance between the two inner corners of the user's eyes collected by the camera (5), and then calculates the distance between the two inner corners of the user and the user according to the distance data between the two inner corners. The information data and the experimental data stored in the calculation module (22) calculate the distance between the human eye and the mobile phone screen, and output the distance data to the judgment module (23); E. The judgment module (23) judges whether the distance between the human eye and the mobile phone meets the specified requirements according to the distance data, and outputs the detection result to the mobile phone screen (3) for display through the display driving module (24). 4. The method for detecting the distance between the human eye and the mobile phone according to claim 3, wherein the method further comprises: F. The judgment module (23) outputs the detection result to the speaker (4) through the voice broadcast module (25) for voice broadcast.