CN107450884B - Application program management platform based on image recognition - Google Patents

Application program management platform based on image recognition Download PDF

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Publication number
CN107450884B
CN107450884B CN201710685719.7A CN201710685719A CN107450884B CN 107450884 B CN107450884 B CN 107450884B CN 201710685719 A CN201710685719 A CN 201710685719A CN 107450884 B CN107450884 B CN 107450884B
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volume
equipment
filtering
noise
image
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CN201710685719.7A
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Chinese (zh)
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CN107450884A (en
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刘永山
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秦皇岛燕山大学计算机软件中心股份有限公司
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Abstract

The present invention relates to a kind of application program management platform based on image recognition, including prestoring equipment, live volume detection device, sleep degree detection device, threshold value comparison equipment and management and control equipment, for the comparative result based on live volume value Yu default volume threshold, the volume management strategy of the application program of terminal device is determined.By means of the invention it is possible to the broadcast sound volume of the application program of terminal device is adaptively adjusted according to surrounding environment and personnel's sleep state.

Description

Application program management platform based on image recognition

Technical field

The present invention relates to field of image recognition, more particularly to a kind of application program management platform based on image recognition.

Background technology

Currently, the sound of the terminal device such as mobile phone can not carry out intelligent pass according to the sleep state of terminal user Close, can not be also adjusted according to surrounding environment sound so that terminal device message sound is adapted with surrounding environment sound, These all bring some interference to the user of terminal device.

In the prior art and there is no the controlling mechanism of corresponding terminal device message sound, cause user's to enter sleep During state, the message sound for receiving various application programs of still having to, has seriously affected the normal rest of user, while terminal is set Standby message sound can not be adapted with ambient sound, and it is particularly large or small to be easy to cause message sound.

The content of the invention

To solve the above-mentioned problems, the present invention provides a kind of application program management platform based on image recognition, first Determined whether to enter mute management mode according to the sleep state of terminal user, secondly, under mute management mode still just The message sound of various application programs is often received, unlike, according to the volume of ambient sound, by various application programs The size of message sound and the volume of ambient sound are adapted, and avoid bringing acoustically excessively dry to the people of rest Disturb.

According to an aspect of the present invention, there is provided a kind of application program management platform based on image recognition, the platform Including:

Prestore equipment, for prestoring default volume threshold and volume control table, the volume control table with Live volume stores the broadcast sound volume of terminal device corresponding with each scene volume value for index;

Live volume detection device, for the volume around detection terminal equipment to be exported as live volume value;

Sleep degree detection device, for the sleep state of the personnel detected and around outlet terminal equipment;

Threshold value comparison equipment, the sleep state for the personnel around terminal device for deep sleep or shallow sleep state When, by live volume value compared with default volume threshold;

Management and control equipment, for the comparative result based on live volume value Yu default volume threshold, determines terminal device Application program volume management strategy.

More specifically, in the application program management platform based on image recognition, further include:

Image capture device, for obtaining and exporting high-definition image to carrying out high-definition data shooting around terminal device; User input equipment, for the operation based on user, receives default volume threshold input by user and the volume control of adjustment Table;

Wherein, user input equipment is connected with prestoring equipment, prestores what is prestored in equipment for updating Default volume threshold and volume control table.

More specifically, in the application program management platform based on image recognition, further include:

Noise spot analytical equipment, for receiving high-definition image, carries out high-definition image scene and judges to determine high-definition image The distribution situation of interior pixel pixel value, pixel value point is carried out based on the distribution situation to each pixel in high-definition image Analyse to determine whether for noise spot;

Noise region analytical equipment, is connected with noise spot analytical equipment, for receiving point of the noise spot analytical equipment Analysis determines the area and shape of each noise region as a result, each noise spot in high-definition image is formed multiple noise regions, And by the Area summing of each noise region to obtain the noise region gross area;

Starting device is filtered, is connected respectively with noise region analytical equipment and adaptive-filtering equipment, in noise range When the domain gross area is more than or equal to preset area threshold value, start adaptive-filtering equipment, be less than default face in the noise region gross area During product threshold value, adaptive-filtering equipment is closed, high-definition image is input to sleep degree detection directly as pending image sets It is standby;

Adaptive-filtering equipment, is connected with filtering starting device and sleep degree detection device, for being filtered respectively After starting device starts, adaptive-filtering processing is carried out to high-definition image to obtain pending image, and pending image is defeated Enter to sleep degree detection device;

The adaptive-filtering equipment includes region split cells, module selecting unit, filtering execution unit and image sets Close unit, region split cells is used to receiving the shape of each noise region, the shape based on each noise region it is several What feature, splits into multiple benchmark subregions, the shape of each benchmark subregion is square, circular by each noise region Or it is linear, when shape is square, the size of each benchmark subregion is 3 × 3,5 × 5 or 7 × 7, when shape is circular, The radius of each benchmark subregion is 3 pixels, 5 pixels or 7 pixels, and when shape is linear, each benchmark subregion is One one-dimensional pixel set;

The sleep degree detection device is connected with adaptive-filtering equipment and filtering starting device respectively, for based on connecing Received pending image detection simultaneously exports the sleep state of wherein human body target using sleeping as the personnel around terminal device Dormancy state output;

Wherein, the module selecting unit is connected with the region split cells, for each noise region, for Its each benchmark subregion after being split, selects corresponding medium filtering template, the filtering execution unit and the module Selecting unit connects, for each noise region, each benchmark subregion after being split for it, to take in selection Value filtering template performs medium filtering, to obtain each sub-regions filter pattern, and each sub-regions filter pattern is combined into Filtered noise region subgraph;

Described image assembled unit is connected with the filtering execution unit, for receiving each noise region subgraph, and Non-noise region is combined to obtain pending image with each noise region subgraph;Wherein, it is multiple to make an uproar in high-definition image Region outside the domain of sound area is non-noise region;

Wherein, the distribution situation of pixel pixel value is included for each pixel in high-definition image in high-definition image Region determine the pixel value range that the pixel pixel value should belong to.

More specifically, in the application program management platform based on image recognition:

Comparative result of the management and control equipment based on live volume value Yu default volume threshold, determines terminal device The volume management strategy of application program includes:When the live volume value is less than or equal to the default volume threshold, into meditation Sound management mode, when the live volume value is more than the default volume threshold, exits mute management mode;

Wherein, the management and control equipment performs following operation in mute management mode:Based on the volume control table Determine the broadcast sound volume of terminal device corresponding with the scene volume value to be used as target broadcast sound volume to export;

Wherein, comparative result of the management and control equipment based on live volume value Yu default volume threshold, determines terminal device The volume management strategy of application program include:The target broadcast sound volume is sent to terminal device so that the target to be played Broadcast sound volume of the volume as the application program of terminal device.

More specifically, in the application program management platform based on image recognition:The threshold value comparison equipment is also used When the sleep state of the personnel around terminal device is waking state, stop by live volume value and default volume threshold into Row compares.

Brief description of the drawings

Embodiment of the present invention is described below with reference to attached drawing, wherein:

Fig. 1 is the structure square frame of the application program management platform based on image recognition according to embodiment of the present invention Figure.

Fig. 2 is the step flow of the application management method based on image recognition according to embodiment of the present invention Figure.

Reference numeral:1 prestores equipment;2 live volume detection devices;3 sleep degree detection devices;4 threshold value comparisons Equipment;5 management and control equipments;6 prestore default volume threshold and volume control table, and the volume control table is with live sound Measure the broadcast sound volume that terminal device corresponding with each scene volume value is stored for index;Sound around 7 detection terminal equipment Size is measured to be exported as live volume value;The sleep state of personnel around 8 detections and outlet terminal equipment;9 set in terminal The sleep state of the personnel of standby surrounding for deep sleep or it is shallow sleep state when, live volume value and default volume threshold are compared Compared with;10 comparative results based on live volume value Yu default volume threshold, determine the volume management of the application program of terminal device Strategy

Embodiment

The embodiment of the application program management platform based on image recognition of the present invention is carried out below with reference to accompanying drawings Describe in detail.

Currently, used with increasing and mobile network the popularization of the application program on the mobile terminals such as mobile phone, People increasingly be unable to do without mobile phone, or even have mobile phone in arms before sleeping and be unwilling to rest.

When each application program of the mobile phone on mobile terminal is carrying out message, in order to remind user, it can all send larger Sound, if under user's sleep state, these sound can disturb the rest of people.Meanwhile the sound of application program is not It can be adjusted, can not be adapted using its sound sent with external sound according to external sound so that once make a sound, Otherwise do not hear, otherwise especially wake up ear, disturb the life of people.

In order to overcome above-mentioned deficiency, the present invention has built a kind of application program management platform based on image recognition, has been used for The sleep state of personnel around terminal device for deep sleep or it is shallow sleep state when, by live volume value and default volume threshold Value is compared, the comparative result based on live volume value Yu default volume threshold, determines the sound of the application program of terminal device Measure management strategy so that message sound is adapted with live volume value.

Fig. 1 is the structure square frame of the application program management platform based on image recognition according to embodiment of the present invention Figure, the platform include:

Prestore equipment, for prestoring default volume threshold and volume control table, the volume control table with Live volume stores the broadcast sound volume of terminal device corresponding with each scene volume value for index;

Live volume detection device, for the volume around detection terminal equipment to be exported as live volume value;

Sleep degree detection device, for the sleep state of the personnel detected and around outlet terminal equipment;

Threshold value comparison equipment, the sleep state for the personnel around terminal device for deep sleep or shallow sleep state When, by live volume value compared with default volume threshold;

Management and control equipment, for the comparative result based on live volume value Yu default volume threshold, determines terminal device Application program volume management strategy.

Then, continue to carry out the concrete structure of the application program management platform based on image recognition of the present invention further Explanation.

In the application program management platform based on image recognition, further include:

Image capture device, for obtaining and exporting high-definition image to carrying out high-definition data shooting around terminal device; User input equipment, for the operation based on user, receives default volume threshold input by user and the volume control of adjustment Table;

Wherein, user input equipment is connected with prestoring equipment, prestores what is prestored in equipment for updating Default volume threshold and volume control table.

In the application program management platform based on image recognition, further include:

Noise spot analytical equipment, for receiving high-definition image, carries out high-definition image scene and judges to determine high-definition image The distribution situation of interior pixel pixel value, pixel value point is carried out based on the distribution situation to each pixel in high-definition image Analyse to determine whether for noise spot;

Noise region analytical equipment, is connected with noise spot analytical equipment, for receiving point of the noise spot analytical equipment Analysis determines the area and shape of each noise region as a result, each noise spot in high-definition image is formed multiple noise regions, And by the Area summing of each noise region to obtain the noise region gross area;

Starting device is filtered, is connected respectively with noise region analytical equipment and adaptive-filtering equipment, in noise range When the domain gross area is more than or equal to preset area threshold value, start adaptive-filtering equipment, be less than default face in the noise region gross area During product threshold value, adaptive-filtering equipment is closed, high-definition image is input to sleep degree detection directly as pending image sets It is standby;

Adaptive-filtering equipment, is connected with filtering starting device and sleep degree detection device, for being filtered respectively After starting device starts, adaptive-filtering processing is carried out to high-definition image to obtain pending image, and pending image is defeated Enter to sleep degree detection device;

The adaptive-filtering equipment includes region split cells, module selecting unit, filtering execution unit and image sets Close unit, region split cells is used to receiving the shape of each noise region, the shape based on each noise region it is several What feature, splits into multiple benchmark subregions, the shape of each benchmark subregion is square, circular by each noise region Or it is linear, when shape is square, the size of each benchmark subregion is 3 × 3,5 × 5 or 7 × 7, when shape is circular, The radius of each benchmark subregion is 3 pixels, 5 pixels or 7 pixels, and when shape is linear, each benchmark subregion is One one-dimensional pixel set;

The sleep degree detection device is connected with adaptive-filtering equipment and filtering starting device respectively, for based on connecing Received pending image detection simultaneously exports the sleep state of wherein human body target using sleeping as the personnel around terminal device Dormancy state output;

Wherein, the module selecting unit is connected with the region split cells, for each noise region, for Its each benchmark subregion after being split, selects corresponding medium filtering template, the filtering execution unit and the module Selecting unit connects, for each noise region, each benchmark subregion after being split for it, to take in selection Value filtering template performs medium filtering, to obtain each sub-regions filter pattern, and each sub-regions filter pattern is combined into Filtered noise region subgraph;

Described image assembled unit is connected with the filtering execution unit, for receiving each noise region subgraph, and Non-noise region is combined to obtain pending image with each noise region subgraph;Wherein, it is multiple to make an uproar in high-definition image Region outside the domain of sound area is non-noise region;

Wherein, the distribution situation of pixel pixel value is included for each pixel in high-definition image in high-definition image Region determine the pixel value range that the pixel pixel value should belong to.

In the application program management platform based on image recognition:

Comparative result of the management and control equipment based on live volume value Yu default volume threshold, determines terminal device The volume management strategy of application program includes:When the live volume value is less than or equal to the default volume threshold, into meditation Sound management mode, when the live volume value is more than the default volume threshold, exits mute management mode;

Wherein, the management and control equipment performs following operation in mute management mode:Based on the volume control table Determine the broadcast sound volume of terminal device corresponding with the scene volume value to be used as target broadcast sound volume to export;

Wherein, comparative result of the management and control equipment based on live volume value Yu default volume threshold, determines terminal device The volume management strategy of application program include:The target broadcast sound volume is sent to terminal device so that the target to be played Broadcast sound volume of the volume as the application program of terminal device.

In the application program management platform based on image recognition:The threshold value comparison equipment is additionally operable to set in terminal When the sleep state of the personnel of standby surrounding is waking state, stop live volume value compared with default volume threshold.

Fig. 2 is the step flow of the application management method based on image recognition according to embodiment of the present invention Figure, the described method includes:

Default volume threshold and volume control table is prestored, the volume control table is stored by index of live volume The broadcast sound volume of terminal device corresponding with each live volume value;

Volume around detection terminal equipment as live volume value to export;

Detect the sleep state of the simultaneously personnel around outlet terminal equipment;

The sleep state of personnel around terminal device for deep sleep or it is shallow sleep state when, by live volume value with it is pre- If volume threshold is compared;

Comparative result based on live volume value Yu default volume threshold, determines the volume pipe of the application program of terminal device Reason strategy.

In the application management method based on image recognition, further include:

Shot to carrying out high-definition data around terminal device to obtain and export high-definition image;

Operation based on user, receives the volume control table of default volume threshold input by user and adjustment;Renewal is pre- Default volume threshold and the volume control table first stored.

In the application management method based on image recognition, further include:

Using noise spot analytical equipment, for receiving high-definition image, scene is carried out to high-definition image and is judged to determine high definition The distribution situation of pixel pixel value in image, pixel is carried out based on the distribution situation to each pixel in high-definition image Value is analyzed to determine whether as noise spot;

Using noise region analytical equipment, it is connected with noise spot analytical equipment, for receiving the noise spot analytical equipment Analysis result, each noise spot in high-definition image is formed into multiple noise regions, determine each noise region area and Shape, and by the Area summing of each noise region to obtain the noise region gross area;

Using filtering starting device, it is connected respectively with noise region analytical equipment and adaptive-filtering equipment, for making an uproar When the sound area domain gross area is more than or equal to preset area threshold value, start adaptive-filtering equipment, be less than in the noise region gross area pre- If during area threshold, closing adaptive-filtering equipment, high-definition image is input to sleep degree inspection directly as pending image Measurement equipment;

Using adaptive-filtering equipment, it is connected respectively with filtering starting device and sleep degree detection device, in quilt Filter after starting device starts, adaptive-filtering processing is carried out to high-definition image to obtain pending image, and by pending figure As being input to sleep degree detection device;

The adaptive-filtering equipment includes region split cells, module selecting unit, filtering execution unit and image sets Close unit, region split cells is used to receiving the shape of each noise region, the shape based on each noise region it is several What feature, splits into multiple benchmark subregions, the shape of each benchmark subregion is square, circular by each noise region Or it is linear, when shape is square, the size of each benchmark subregion is 3 × 3,5 × 5 or 7 × 7, when shape is circular, The radius of each benchmark subregion is 3 pixels, 5 pixels or 7 pixels, and when shape is linear, each benchmark subregion is One one-dimensional pixel set;

The sleep state of personnel around the detection and outlet terminal equipment includes:Based on the pending image received The sleep state for detecting and exporting wherein human body target is exported using the sleep state as the personnel around terminal device;

Wherein, the module selecting unit is connected with the region split cells, for each noise region, for Its each benchmark subregion after being split, selects corresponding medium filtering template, the filtering execution unit and the module Selecting unit connects, for each noise region, each benchmark subregion after being split for it, to take in selection Value filtering template performs medium filtering, to obtain each sub-regions filter pattern, and each sub-regions filter pattern is combined into Filtered noise region subgraph;

Described image assembled unit is connected with the filtering execution unit, for receiving each noise region subgraph, and Non-noise region is combined to obtain pending image with each noise region subgraph;In high-definition image, multiple noise ranges Region outside domain is non-noise region;

The distribution situation of pixel pixel value includes being directed to institute of each pixel in high-definition image in high-definition image The pixel value range that the pixel pixel value should belong to is determined in region.

In the application management method based on image recognition:

The comparative result based on live volume value Yu default volume threshold, determines the sound of the application program of terminal device Amount management strategy includes:When the live volume value is less than or equal to the default volume threshold, into mute management mode, when When the scene volume value is more than the default volume threshold, mute management mode is exited;

Wherein, following operation is performed in mute management mode:Determined and the live sound based on the volume control table The broadcast sound volume of the corresponding terminal device of value as target broadcast sound volume to export;

The comparative result based on live volume value Yu default volume threshold, determines the sound of the application program of terminal device Amount management strategy includes:The target broadcast sound volume is sent to terminal device so that the target broadcast sound volume to be set as terminal The broadcast sound volume of standby application program.

In the application management method based on image recognition, the personnel around detection and outlet terminal equipment Sleep state after, further include:

When the sleep state of personnel around terminal device is waking state, stop live volume value and default volume Threshold value is compared.

In addition, image filtering, i.e., press down the noise of target image under conditions of image detail feature is retained as far as possible System, is indispensable operation in image preprocessing, and the quality of its treatment effect will directly influence successive image processing and divide The validity and reliability of analysis.

Due to the imperfection of imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake Often polluted in journey be subject to a variety of noises.In addition, some links in image procossing when the picture object inputted and are not so good as pre- Also noise can be introduced when thinking in result images.These noises often show as one and cause the isolated of stronger visual effect on the image Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration, The progress of the follow-up work such as segmentation, feature extraction, image recognition.A kind of wave filter for effectively suppressing noise is constructed to must take into consideration Two basic problems:The noise in target and background can effectively be removed;Meanwhile can protect well image object shape, Size and specific geometry and topological features.

One kind in common image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency Such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when composing aliasing or when containing nonadditivity noise in signal Sound etc.), traditional linear filter technology, such as Fourier conversion, while noise is filtered out, always blurred picture is thin in some way Section (such as edge) and then the extraction property reduction for causing the positioning accuracy and feature as linear character.And nonlinear filter is Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.

Application program management platform using the present invention based on image recognition, for nothing under sleep state in the prior art The technical problem that terminal device sound and ambient sound are adapted by method, when the live volume value is less than or equal to the default sound When measuring threshold value, into mute management mode, when the live volume value is more than the default volume threshold, mute management is exited Pattern;The management and control equipment performs following operation in mute management mode:Determined based on the volume control table and institute The broadcast sound volume of the corresponding terminal device of live volume value is stated to be exported as target broadcast sound volume;Wherein, management and control equipment Comparative result based on live volume value Yu default volume threshold, determines the volume management strategy bag of the application program of terminal device Include:The target broadcast sound volume is sent to terminal device using the application program by the target broadcast sound volume as terminal device Broadcast sound volume so that terminal device volume under user's sleep state is adapted with live volume value, solve above-mentioned Technical problem.

It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection It is interior.

Claims (3)

1. a kind of application program management platform based on image recognition, the platform include:
Equipment is prestored, for prestoring default volume threshold and volume control table, the volume control table is with scene Volume stores the broadcast sound volume of terminal device corresponding with each scene volume value for index;
Live volume detection device, for the volume around detection terminal equipment to be exported as live volume value;
Sleep degree detection device, for the sleep state of the personnel detected and around outlet terminal equipment;
Threshold value comparison equipment, for the personnel around terminal device sleep state for deep sleep or it is shallow sleep state when, will Live volume value is compared with default volume threshold;
Management and control equipment, for the comparative result based on live volume value Yu default volume threshold, determines answering for terminal device With the volume management strategy of program;
Image capture device, for obtaining and exporting high-definition image to carrying out high-definition data shooting around terminal device;
User input equipment, for the operation based on user, receives default volume threshold input by user and the volume of adjustment Control table;
Wherein, user input equipment is connected with prestoring equipment, for update prestore prestored in equipment it is default Volume threshold and volume control table;
It is characterized in that, further include:
Noise spot analytical equipment, for receiving high-definition image, carries out high-definition image scene and judges to determine picture in high-definition image The distribution situation of vegetarian refreshments pixel value, based on the distribution situation in high-definition image each pixel carry out pixel value analysis with Determine whether for noise spot;
Noise region analytical equipment, is connected with noise spot analytical equipment, for receiving the analysis knot of the noise spot analytical equipment Fruit, multiple noise regions are formed by each noise spot in high-definition image, determine the area and shape of each noise region, and will The Area summing of each noise region is to obtain the noise region gross area;
Starting device is filtered, is connected respectively with noise region analytical equipment and adaptive-filtering equipment, for total in noise region When area is more than or equal to preset area threshold value, starts adaptive-filtering equipment, be less than preset area threshold in the noise region gross area During value, adaptive-filtering equipment is closed, high-definition image is input to sleep degree detection device directly as pending image;
Adaptive-filtering equipment, is connected with filtering starting device and sleep degree detection device respectively, for starting by filtering After equipment starts, adaptive-filtering processing is carried out to high-definition image to obtain pending image, and pending image is input to Sleep degree detection device;The adaptive-filtering equipment includes region split cells, module selecting unit, filtering execution unit And image combining unit, region split cells is used for the shape for receiving each noise region, based on each noise region The geometric properties of shape, split into multiple benchmark subregions, the shape of each benchmark subregion is by each noise region Square, circular or linear, when shape is square, the size of each benchmark subregion is 3 × 3,5 × 5 or 7 × 7, works as shape For circle when, the radius of each benchmark subregion is 3 pixels, 5 pixels or 7 pixels, when shape for it is linear when, each benchmark Subregion is an one-dimensional pixel set;
The sleep degree detection device is connected with adaptive-filtering equipment and filtering starting device respectively, for based on receiving Pending image detection and export the sleep state of wherein human body target using the sleep shape as the personnel around terminal device State exports;
Wherein, the module selecting unit is connected with the region split cells, for each noise region, for its quilt Each benchmark subregion after fractionation, selects corresponding medium filtering template, and the filtering execution unit is selected with the module Unit connects, for each noise region, each benchmark subregion after being split for it, to take the intermediate value of selection to filter Ripple template performs medium filtering, to obtain each sub-regions filter pattern, and each sub-regions filter pattern is combined into filtering Noise region subgraph afterwards;Described image assembled unit is connected with the filtering execution unit, for receiving each noise range Domain subgraph, and non-noise region is combined to obtain pending image with each noise region subgraph;
Wherein, in high-definition image, the region outside multiple noise regions is non-noise region;
Wherein, the distribution situation of pixel pixel value includes being directed to institute of each pixel in high-definition image in high-definition image The pixel value range that the pixel pixel value should belong to is determined in region.
2. the application program management platform based on image recognition as claimed in claim 1, it is characterised in that:
Comparative result of the management and control equipment based on live volume value Yu default volume threshold, determines the application of terminal device The volume management strategy of program includes:When the live volume value is less than or equal to the default volume threshold, into mute pipe Reason pattern, when the live volume value is more than the default volume threshold, exits mute management mode;
Wherein, the management and control equipment performs following operation in mute management mode:Determined based on the volume control table The broadcast sound volume of terminal device corresponding with the scene volume value is to be used as target broadcast sound volume to export;
Wherein, comparative result of the management and control equipment based on live volume value Yu default volume threshold, determines answering for terminal device Included with the volume management strategy of program:The target broadcast sound volume is sent to terminal device with by the target broadcast sound volume Broadcast sound volume as the application program of terminal device.
3. the application program management platform based on image recognition as claimed in claim 2, it is characterised in that:
When the sleep state that the threshold value comparison equipment is additionally operable to the personnel around terminal device is waking state, stopping will be existing Field volume value is compared with default volume threshold.
CN201710685719.7A 2017-08-11 2017-08-11 Application program management platform based on image recognition CN107450884B (en)

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CN105791984A (en) * 2014-12-22 2016-07-20 深圳Tcl新技术有限公司 Television control method and television

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Publication number Priority date Publication date Assignee Title
CN103905598A (en) * 2012-12-31 2014-07-02 华为技术有限公司 Method and device for processing rings

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CN105791984A (en) * 2014-12-22 2016-07-20 深圳Tcl新技术有限公司 Television control method and television
CN104539995A (en) * 2015-01-19 2015-04-22 无锡桑尼安科技有限公司 Method for remote control of television on basis of audience state detection
CN104767883A (en) * 2015-03-25 2015-07-08 广东欧珀移动通信有限公司 Terminal prompt method and terminal

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