CN108419127B - Method for preventing myopia of children - Google Patents
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- CN108419127B CN108419127B CN201810171944.3A CN201810171944A CN108419127B CN 108419127 B CN108419127 B CN 108419127B CN 201810171944 A CN201810171944 A CN 201810171944A CN 108419127 B CN108419127 B CN 108419127B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/443—OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
- H04N21/4432—Powering on the client, e.g. bootstrap loading using setup parameters being stored locally or received from the server
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/443—OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
- H04N21/4436—Power management, e.g. shutting down unused components of the receiver
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Abstract
The invention relates to a method for preventing myopia of children, which comprises the following steps: use smart television on-off control platform in order to discern children and watch the time overlength, self-closing smart television, the platform includes: the power consumption prediction equipment is connected with the TF memory chip and used for reading out the video stream to be played later and predicting the electric quantity consumed by the played video stream to meet the image quality requirement so as to output the electric quantity as predicted electric quantity; the power consumption measuring equipment is connected with the display panel and used for counting and determining the average power consumption per minute of the display panel; the power distribution equipment is respectively connected with the power consumption prediction equipment and the power consumption measurement equipment and is used for determining power distributed to the display panel for playing the video stream to be played after the video stream is played based on the predicted power consumption and the average power consumption per minute; and the TF memory chip is used for storing the video stream to be played later. The invention can overcome the phenomenon that children watch television for too long time, thereby avoiding the phenomenon of myopia caused by too long watching time.
Description
The invention relates to a divisional application of a patent with the application number of 201710857683.6, the application date of 2017, 9 and 21, and the invention name of 'a method for preventing myopia of children'.
Technical Field
The invention relates to the field of myopia prevention of children, in particular to a method for preventing myopia of children.
Background
The smart television is a general name of a color television which has a fully-open platform like a smart phone, is loaded with an operating system, can be used by a user to install and uninstall programs provided by third-party service providers such as software and games, continuously expands the functions of the color television through the programs, and can realize surfing on the internet through a network cable and a wireless network.
The smart television firstly means the upgrading and revolution of hardware technology, and large 3D motion sensing games and various software programs can be smoothly operated only by being equipped with chips with leading high configuration and high performance in the industry. The smart television represents a revolution of software content technology, and is necessarily a television with customizable functions.
Children are naturally very popular for various games and television programs, however, they are prone to myopia when viewed too much. Especially for some children who are short sighted, the short-term observation time is easier to deepen the short sight.
Disclosure of Invention
The invention provides a method for preventing myopia of children, aiming at solving the problems that the current intelligent television lacks a targeted child detection mechanism and a corresponding scheme for causing myopia due to overlong television watching time.
According to an aspect of the present invention, there is provided a method of preventing myopia in a child, comprising: use smart television on-off control platform in order to discern children and watch the time overlength, self-closing smart television, the platform includes:
the power consumption prediction equipment is connected with the TF memory chip and used for reading out the video stream to be played later and predicting the electric quantity consumed by the played video stream to meet the image quality requirement so as to output the electric quantity as predicted electric quantity;
the power consumption measuring equipment is connected with the display panel and used for counting and determining the average power consumption per minute of the display panel;
the power distribution equipment is respectively connected with the power consumption prediction equipment and the power consumption measurement equipment and is used for determining power distributed to the display panel for playing the video stream to be played after the video stream is played based on the predicted power consumption and the average power consumption per minute; the power distribution apparatus determining power to be distributed to the display panel for a video stream to be played after playing based on the predicted power amount and the average power consumption per minute includes: multiplying the average power consumption per minute by the time length of the video stream to be played later to obtain an allocated reference power consumption, and taking the intermediate value of the allocated reference power consumption and the predicted power consumption as the power allocated to the display panel for playing the video stream to be played later;
the TF memory chip is used for storing the video stream to be played later;
the multi-view camera comprises a plurality of imaging units, each imaging unit is used for carrying out real-time imaging operation on scenes in an imaging range of the imaging unit, each imaging unit comprises a signal-to-noise ratio analyzer, a quality comparator and N image sensors, the signal-to-noise ratio analyzer is respectively connected with the N image sensors and is used for carrying out signal-to-noise ratio analysis on imaging images of the N image sensors, the quality comparator is connected with the signal-to-noise ratio analyzer and is used for receiving the signal-to-noise ratios of the imaging images of the N image sensors and selecting the imaging image with the highest signal-to-noise ratio as an output image of the corresponding imaging; and data linkage is also carried out among the N image sensors so as to ensure that the average brightness of a plurality of output images output by the N image sensors is consistent and ensure that the dynamic ranges of a plurality of output images output by the N image sensors are consistent.
The invention has at least the following two important points:
(1) the imaging unit of the multi-view camera is subjected to complex construction, so that the width of the view field of an image is ensured while the image quality of a de-duplicated wide-view image is improved;
(2) and establishing a non-linear mapping deep neural network from the target geometric features to the target type, so that the target type can be obtained only by obtaining the target geometric features, thereby simplifying the operation on one hand and improving the accuracy of target type analysis on the other hand.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of a smart television switch control platform according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a multi-purpose camera of an intelligent television switch control platform according to an embodiment of the present invention.
Detailed Description
Embodiments of the smart tv switch control platform according to the present invention will be described in detail below with reference to the accompanying drawings.
Generally, the smart television is an open platform, developers can develop a plurality of applications, and the smart television can load 'unlimited contents and unlimited applications', and has a wide development prospect.
The arrival of the intelligent television conforms to the trends of high-definition, networking and intellectualization of the television. When the PC is intelligent for a long time, and the mobile phone and the tablet are also in large-area intelligence, the screen of the TV cannot escape from the eyes of the IT huge head, and the intelligence can be achieved certainly. A real smart tv is required to be capable of obtaining program contents from various channels such as a network, AV equipment, and a PC, and clearly present contents most needed by consumers on a large screen through a simple and easy-to-use integrated operation interface.
The intelligent television can realize various application services such as network search, IP television, BBTV network video communication, Video On Demand (VOD), digital music, network news, network video telephone and the like. The television is becoming a third information access terminal behind a computer and a mobile phone, and a user can access information required by the user at any time; the television also becomes an intelligent device, and cross-platform search among the television, the network and the program is realized; smart televisions will also be an "entertainment center".
In order to overcome the defects, the invention builds a method for preventing the myopia of the children, which comprises the following steps: and using the intelligent television switch control platform to automatically turn off the intelligent television when the overlong watching time of the child is identified. The method and the device are used for automatically closing the smart television when the fact that the watching time of the child is too long is recognized, and therefore myopia caused by too long watching time is avoided.
Fig. 1 is a schematic structural diagram of a smart television switch control platform according to an embodiment of the present invention, where the platform includes:
the power consumption prediction equipment is connected with the TF memory chip and used for reading out the video stream to be played later and predicting the electric quantity consumed by the played video stream to meet the image quality requirement so as to output the electric quantity as predicted electric quantity;
the power consumption measuring equipment is connected with the display panel and used for counting and determining the average power consumption per minute of the display panel;
the power distribution equipment is respectively connected with the power consumption prediction equipment and the power consumption measurement equipment and is used for determining power distributed to the display panel for playing the video stream to be played after the video stream is played based on the predicted power consumption and the average power consumption per minute; the power distribution apparatus determining power to be distributed to the display panel for a video stream to be played after playing based on the predicted power amount and the average power consumption per minute includes: multiplying the average power consumption per minute by the time length of the video stream to be played later to obtain an allocated reference power consumption, and taking the intermediate value of the allocated reference power consumption and the predicted power consumption as the power allocated to the display panel for playing the video stream to be played later;
and the TF memory chip is used for storing the video stream to be played later.
Next, the detailed structure of the smart tv switch control platform of the present invention will be further described.
The intelligent television switch control platform can further comprise:
as shown in fig. 2, the multi-view camera includes a plurality of imaging units, each imaging unit is configured to perform a real-time imaging operation on a scene within an imaging range of the imaging unit, each imaging unit includes a signal-to-noise ratio analyzer, a quality comparator, and N image sensors, the signal-to-noise ratio analyzer is respectively connected to the N image sensors and is configured to perform a signal-to-noise ratio analysis on imaging images of the N image sensors, the quality comparator is connected to the signal-to-noise ratio analyzer and is configured to receive signal-to-noise ratios of imaging images of the N image sensors and select an imaging image with a highest signal-to-noise ratio as an output image of a; data linkage is further carried out among the N image sensors so as to ensure that the average brightness of a plurality of output images output by the N image sensors is consistent and the dynamic ranges of the plurality of output images output by the N image sensors are consistent;
and the content fusion equipment is respectively connected with the imaging units and is used for receiving the output images of the imaging units and simulating the corresponding three-dimensional scene image based on the output images.
The intelligent television switch control platform can further comprise:
an enhancement processing device configured to receive a three-dimensional scene image and perform adaptive enhancement processing on the three-dimensional scene image to obtain an adaptive enhanced image, wherein the performing of the adaptive enhancement processing on the three-dimensional scene image includes: formulating and executing corresponding enhancement processing strength according to the contrast of each region of the three-dimensional scene image, wherein the lower the contrast is, the greater the corresponding enhancement processing strength is;
the expansion corrosion equipment is connected with the enhancement processing equipment and is used for receiving the self-adaptive enhanced image, performing image expansion processing on the self-adaptive enhanced image and then performing image corrosion processing to obtain a morphological image;
the parameter analysis equipment is connected with the expansion corrosion equipment and used for receiving the morphological image, acquiring the area of each object pattern in the morphological image, taking the object pattern with the volume close to the human body volume threshold value as a to-be-processed sub-image, performing shape analysis on the to-be-processed sub-image to obtain a plurality of geometric characteristics of an object in the to-be-processed sub-image, performing normalization processing on the geometric characteristics respectively to obtain a plurality of normalization characteristics, and forming a one-dimensional vector based on the normalization characteristics;
the target extraction equipment is connected with the parameter analysis equipment and used for receiving the one-dimensional vector and inputting the one-dimensional vector into a multi-input single-output deep neural network which is trained and tested in advance so as to obtain an output object type;
the automatic control switch is connected with the target extraction equipment and used for automatically closing the smart television when the received output object type is a child type and lasts for a preset time threshold;
the number N of the image sensors included in each imaging unit is preset based on the position of the imaging unit, the closer the imaging unit is to the central position of the multi-view camera, the larger the numerical value of the corresponding N is, the farther the imaging unit deviates from the central position of the multi-view camera, and the smaller the numerical value of the corresponding N is.
In the intelligent television switch control platform: the number of the plurality of normalized features is the same as the number of the inputted parameters of the deep neural network.
In the intelligent television switch control platform: the power distribution equipment realizes power distribution to the display panel by adjusting various parameters of the display panel.
And in the intelligent television switch control platform: the TF memory chip is also connected with the automatic control switch and used for storing a preset time threshold.
In addition, the image sensor is optionally a CMOS image sensor. CMOS image sensors have several advantages: 1) random window reading capability. Random window read operation is one aspect of CMOS image sensors that is functionally superior to CCDs, also referred to as region of interest selection. In addition, the high integration characteristics of the CMOS image sensor make it easy to implement a function of opening a plurality of tracking windows simultaneously. 2) And radiation resistance. In general, the potential radiation resistance of CMOS image sensors is significantly enhanced relative to CCD performance. 3) System complexity and reliability. The use of CMOS image sensors can greatly simplify the system hardware architecture. 4) And a non-destructive data reading method. 5) Optimized exposure control. It is noted that CMOS image sensors also have several disadvantages, mainly two indicators of noise and fill factor, due to the integration of multiple functional transistors in the pixel structure. In view of the relatively superior performance of the CMOS image sensor, the CMOS image sensor has been widely used in various fields.
By adopting the intelligent television switch control platform, aiming at the technical problem that the children audience information can not be accurately obtained in the prior art, the object type of the on-site audience is obtained by building a high-precision image acquisition mechanism and an audience type extraction mechanism based on a neural network, and the automatic control switch is used for automatically closing the intelligent television when the received output object type is the child type and lasts for a preset time threshold.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (1)
1. A method of preventing myopia in a child, the method comprising: use smart television on-off control platform in order to when discerning children's watch time overlength, self-closing smart television, its characterized in that, the platform includes:
the power consumption prediction equipment is connected with the TF memory chip and used for reading out the video stream to be played later and predicting the electric quantity consumed by the played video stream to meet the image quality requirement so as to output the electric quantity as predicted electric quantity;
the power consumption measuring equipment is connected with the display panel and used for counting and determining the average power consumption per minute of the display panel;
the power distribution equipment is respectively connected with the power consumption prediction equipment and the power consumption measurement equipment and is used for determining power distributed to the display panel for playing the video stream to be played after the video stream is played based on the predicted power consumption and the average power consumption per minute; the power distribution apparatus determining power to be distributed to the display panel for a video stream to be played after playing based on the predicted power amount and the average power consumption per minute includes: multiplying the average power consumption per minute by the time length of the video stream to be played later to obtain an allocated reference power consumption, and taking the intermediate value of the allocated reference power consumption and the predicted power consumption as the power allocated to the display panel for playing the video stream to be played later;
the TF memory chip is used for storing the video stream to be played later;
the multi-view camera comprises a plurality of imaging units, each imaging unit is used for carrying out real-time imaging operation on scenes in an imaging range of the imaging unit, each imaging unit comprises a signal-to-noise ratio analyzer, a quality comparator and N image sensors, the signal-to-noise ratio analyzer is respectively connected with the N image sensors and is used for carrying out signal-to-noise ratio analysis on imaging images of the N image sensors, the quality comparator is connected with the signal-to-noise ratio analyzer and is used for receiving the signal-to-noise ratios of the imaging images of the N image sensors and selecting the imaging image with the highest signal-to-noise ratio as an output image of the corresponding imaging; data linkage is further carried out among the N image sensors so as to ensure that the average brightness of a plurality of output images output by the N image sensors is consistent and the dynamic ranges of the plurality of output images output by the N image sensors are consistent;
the content fusion equipment is respectively connected with the imaging units and is used for receiving a plurality of output images of the imaging units and simulating corresponding three-dimensional scene images based on the output images;
an enhancement processing device configured to receive a three-dimensional scene image and perform adaptive enhancement processing on the three-dimensional scene image to obtain an adaptive enhanced image, wherein the performing of the adaptive enhancement processing on the three-dimensional scene image includes: formulating and executing corresponding enhancement processing strength according to the contrast of each region of the three-dimensional scene image, wherein the lower the contrast is, the greater the corresponding enhancement processing strength is;
the expansion corrosion equipment is connected with the enhancement processing equipment and is used for receiving the self-adaptive enhanced image, performing image expansion processing on the self-adaptive enhanced image and then performing image corrosion processing to obtain a morphological image;
the parameter analysis equipment is connected with the expansion corrosion equipment and used for receiving the morphological image, acquiring the area of each object pattern in the morphological image, taking the object pattern with the volume close to the human body volume threshold value as a to-be-processed sub-image, performing shape analysis on the to-be-processed sub-image to obtain a plurality of geometric characteristics of an object in the to-be-processed sub-image, performing normalization processing on the geometric characteristics respectively to obtain a plurality of normalization characteristics, and forming a one-dimensional vector based on the normalization characteristics;
the target extraction equipment is connected with the parameter analysis equipment and used for receiving the one-dimensional vector and inputting the one-dimensional vector into a multi-input single-output deep neural network which is trained and tested in advance so as to obtain an output object type;
the automatic control switch is connected with the target extraction equipment and used for automatically closing the smart television when the received output object type is a child type and lasts for a preset time threshold;
the number N of the image sensors included in each imaging unit is preset based on the position of the imaging unit, the closer the imaging unit is to the central position of the multi-view camera, the larger the numerical value of the corresponding N is, the more the imaging unit deviates from the central position of the multi-view camera, and the smaller the numerical value of the corresponding N is;
the number of the plurality of normalized features is the same as the number of the inputted parameters of the deep neural network;
the power distribution equipment realizes power distribution to the display panel by adjusting various parameters of the display panel;
the TF memory chip is also connected with the automatic control switch and used for storing a preset time threshold.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810171944.3A CN108419127B (en) | 2017-09-21 | 2017-09-21 | Method for preventing myopia of children |
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|---|---|---|---|
| CN201710857683.6A CN107613385B (en) | 2017-09-21 | 2017-09-21 | A kind of platform for preventing child myopia |
| CN201810171944.3A CN108419127B (en) | 2017-09-21 | 2017-09-21 | Method for preventing myopia of children |
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| CN201710857683.6A Division CN107613385B (en) | 2017-09-21 | 2017-09-21 | A kind of platform for preventing child myopia |
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| CN108419127A CN108419127A (en) | 2018-08-17 |
| CN108419127B true CN108419127B (en) | 2020-07-21 |
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| CN201710857683.6A Expired - Fee Related CN107613385B (en) | 2017-09-21 | 2017-09-21 | A kind of platform for preventing child myopia |
| CN201810171944.3A Expired - Fee Related CN108419127B (en) | 2017-09-21 | 2017-09-21 | Method for preventing myopia of children |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107896344B (en) * | 2017-09-21 | 2018-11-02 | 赵曦泉 | Prevent the device of child myopia |
| CN109978857A (en) * | 2019-03-27 | 2019-07-05 | 杨顷思 | Medical Devices electric power supply system |
| CN109806089A (en) * | 2019-03-28 | 2019-05-28 | 夏梅 | Treat parameter extraction system |
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| CN108419127A (en) | 2018-08-17 |
| CN107613385A (en) | 2018-01-19 |
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