CN115499692B - Digital television intelligent control method and system based on image processing - Google Patents
Digital television intelligent control method and system based on image processing Download PDFInfo
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Abstract
The invention provides a digital television intelligent control method and a system based on image processing, which are applied to the technical field of intelligent control, wherein the method comprises the following steps: and acquiring initial setting data of a user, and acquiring setting screen light data to obtain initial light data. The image acquisition device is used for carrying out setting display image acquisition, and obtaining a display effect evaluation image. And acquiring real-time screen light data to obtain real-time light data and obtaining a data difference value between the real-time light and the initial light. And adjusting the display picture in real time based on the data difference value and the initial setting data. And acquiring the adjustment picture through an image acquisition device to obtain a real-time evaluation image. And performing display comparison on the real-time evaluation image according to the display effect evaluation image to generate correction data. And performing correction control on the real-time display picture of the digital television based on the correction data. The intelligent digital television system solves the technical problem that in the prior art, the digital television is low in intelligent degree, so that actual use experience of a user is poor.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an intelligent control method and system for a digital television based on image processing.
Background
The intelligent control is a control mode with intelligent information processing and intelligent information control decision, information acquisition is carried out through various acquisition devices, and intelligent control on equipment is realized by carrying out intelligent processing on the acquired information. However, although the intelligent control of the television in the prior art is widely applied, the intelligent control has fewer and only simple control functions such as a switch, data interconnection and the like, and the intelligent degree is low, so that the problem of poor actual use experience of users is caused.
Therefore, the digital television has the technical problems of low intelligent degree and poor actual use experience of users in the prior art.
Disclosure of Invention
The application provides an intelligent control method and system for a digital television based on image processing, which are used for solving the technical problem that the actual use experience of a user is poor due to the fact that the intelligent degree of the digital television is low in the prior art.
In view of the above problems, the present application provides a digital television intelligent control method and system based on image processing.
In a first aspect of the present application, there is provided an intelligent control method for a digital television based on image processing, where the method is applied to an intelligent control system for a digital television, and the intelligent control system for a digital television is communicatively connected to a first image acquisition device and a display light sensing device, and the method includes: collecting initial setting data of a target user, and collecting setting screen light data through the display light sensing device to obtain initial light data; acquiring a set display image through the first image acquisition device to obtain a display effect evaluation image; acquiring real-time screen light data through the display light sensing device to obtain real-time light data, and obtaining a data difference value between the real-time light data and the initial light data; performing real-time display picture adjustment based on the data difference value and the initial setting data to obtain a first picture adjustment result; the first image acquisition device is used for carrying out image acquisition on the first picture adjustment result to obtain a real-time evaluation image; performing display comparison on the real-time evaluation image according to the display effect evaluation image to generate correction data; and carrying out correction control on the real-time display picture of the digital television based on the correction data.
In a second aspect of the present application, there is provided an intelligent control system for a digital television based on image processing, the system being communicatively connected to a first image acquisition device and a display light sensing device, the system comprising: the initial parameter acquisition module is used for acquiring initial setting data of a target user, and acquiring setting screen light data through the display light sensing device to obtain initial light data; the display effect evaluation image acquisition module is used for acquiring a set display image through the first image acquisition device to obtain a display effect evaluation image; the real-time light ray data acquisition module is used for acquiring real-time screen light ray data through the display light ray sensing device to obtain real-time light ray data and obtain a data difference value between the real-time light ray data and the initial light ray data; the first picture adjustment result acquisition module is used for carrying out real-time display picture adjustment based on the data difference value and the initial setting data to obtain a first picture adjustment result; the real-time evaluation image acquisition module is used for acquiring the image through the first image acquisition device according to the first picture adjustment result to obtain a real-time evaluation image; the correction data generation module is used for carrying out display comparison on the real-time evaluation image according to the display effect evaluation image to generate correction data; and the control module is used for carrying out correction control on the real-time display picture of the digital television based on the correction data.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method provided by the embodiment of the application, the initial setting data of the user is acquired, the screen working environment light data of the initial setting data is acquired, and the initial light data is obtained. And setting and displaying image acquisition through an image acquisition device to obtain a display effect evaluation image. And acquiring real-time screen light data to obtain real-time light data and obtaining a data difference value between the real-time light and the initial light. And adjusting the display picture in real time based on the data difference value and the initial setting data. And then, carrying out picture acquisition on the adjustment picture through an image acquisition device to obtain a real-time evaluation image. And performing display comparison according to the display effect evaluation image and the real-time evaluation image to generate correction data. And performing correction control on the real-time display picture of the digital television based on the correction data. The intelligent adjustment of the picture display of the digital television according to the light environment of the user is realized, the display effect of the digital television is ensured, and the use experience of the user is improved. The intelligent digital television system solves the technical problem that in the prior art, the digital television is low in intelligent degree, so that actual use experience of a user is poor.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a digital television intelligent control method based on image processing;
fig. 2 is a schematic flow chart of real-time display screen adjustment according to priority order in the digital television intelligent control method based on image processing provided by the application;
fig. 3 is a schematic flow chart of digital television state adjustment according to sleep state evaluation index in the digital television intelligent control method based on image processing provided by the application;
fig. 4 is a schematic structural diagram of a digital television intelligent control system based on image processing.
Reference numerals illustrate: the system comprises an initial parameter acquisition module 11, a display effect evaluation image acquisition module 12, a real-time light ray data acquisition module 13, a first picture adjustment result acquisition module 14, a real-time evaluation image acquisition module 15, a correction data generation module 16 and a control module 17.
Detailed Description
The application provides an intelligent control method and system for a digital television based on image processing, which are used for solving the technical problem that the actual use experience of a user is poor due to the fact that the intelligent degree of the digital television is low in the prior art.
The technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some of the contents that can be realized by the present application, and not the whole contents of the present application.
Example 1
As shown in fig. 1, the present application provides an image processing-based digital television intelligent control method, where the method is applied to a digital television intelligent control system, and the digital television intelligent control system is in communication connection with a first image acquisition device and a display light sensing device, and the method includes:
step 100: collecting initial setting data of a target user, and collecting setting screen light data through the display light sensing device to obtain initial light data;
step 200: acquiring a set display image through the first image acquisition device to obtain a display effect evaluation image;
specifically, initial setting data of the digital television set by the user is collected, and at this time, the user already sets screen parameters of the digital television according to own watching preference under the light condition. And then, acquiring the set screen light data through a display light sensing device, namely acquiring the actual light environment of the digital television under the working condition, wherein the display light sensing device is used for sensing the environment light parameters such as the environment light intensity, the light direction and the like when the screen actually works, and acquiring the initial light data after completing the set screen light data acquisition. And acquiring a set display image through the first image acquisition device, namely acquiring an actual display image of the digital television screen to obtain a display effect evaluation image. The image acquisition device is arranged outside the digital television and is used for acquiring real-time display images of the digital television.
Step 300: acquiring real-time screen light data through the display light sensing device to obtain real-time light data, and obtaining a data difference value between the real-time light data and the initial light data;
step 400: performing real-time display picture adjustment based on the data difference value and the initial setting data to obtain a first picture adjustment result;
specifically, the display light sensing device is used for collecting data of the working environment light of the real-time screen, collecting the light intensity, light reversal and other environment light parameters of the real-time working environment of the screen, obtaining the real-time screen light data collecting result and obtaining the real-time light data. And calculating a data difference value according to the acquired real-time light data and the initial light data, and acquiring the data difference value of the real-time light data and the initial light data. Then, real-time display screen adjustment is performed based on the data difference and the initial setting data. When there is a difference between the real-time light data and the initial light data, the real-time light intensity is smaller than the initial light intensity, and the display brightness of the initial setting data can be reduced to achieve the display effect of the initial setting data as much as possible. And finishing the adjustment of the real-time display picture, and obtaining a first picture adjustment result.
Step 500: the first image acquisition device is used for carrying out image acquisition on the first picture adjustment result to obtain a real-time evaluation image;
step 600: performing display comparison on the real-time evaluation image according to the display effect evaluation image to generate correction data;
step 700: and carrying out correction control on the real-time display picture of the digital television based on the correction data.
Specifically, the first image acquisition device acquires the image of the adjusted first picture adjustment result. And acquiring a display image of the adjusted first picture adjustment result, and acquiring a real-time evaluation image. And then, carrying out display comparison on the real-time evaluation image according to the display effect evaluation image, and comparing display image differences between the display effect evaluation image and the real-time evaluation image, such as parameters of display color temperature, display brightness, contrast and the like. And generating correction data according to the acquired display image difference data. Before generating correction data, constructing a database corresponding to the difference data and the correction data of the display image, acquiring a corresponding relation between the difference data and the correction data by carrying out a plurality of times of data corresponding experiments of the difference data and the correction data, storing the corresponding relation into a memory, directly calling the database corresponding to the difference data and the correction data by a system, further generating the correction data, and completing intelligent adjustment of television display parameters. And finally, performing correction control on the real-time display picture of the digital television based on the correction data to finish correction adjustment on the real-time display picture of the digital television. Furthermore, the corrected display image can be acquired through the first image acquisition device, and the corrected data can be repeatedly acquired until the display effect of the final digital television real-time display picture is consistent with the display effect evaluation image. The intelligent adjustment of the digital television is realized through the light environment of the user, so that the display effect of the digital television is ensured, and the use experience of the user is improved.
As shown in fig. 2, the method step 700 provided in the embodiment of the present application further includes:
step 710: setting a control priority order of a target user;
step 720: performing image recognition of the watching user through the second image acquisition device to obtain a user recognition result;
step 730: judging whether a target user in a control priority order exists in the user identification result;
step 740: when the target user in the control priority order exists in the user identification result, real-time display picture adjustment is carried out according to the initial setting data of the target user with the highest priority in the control priority order.
Specifically, a control priority order of a target user is set, wherein the target user is an actual user of the television. When the control priority order of the target users is set, the setting of the control priority order of the target users can be carried out through the internal program of the digital television, and the target users of the control priority order of each target user correspond to the display control parameters of the digital television. And carrying out image recognition of the watching user through the second image acquisition device, identifying the user watching the digital television, and obtaining a user identification result. And then judging whether the target user in the control priority order exists in the user identification result, namely judging whether the user in the control priority order is contained in the user identification result. When the target user in the control priority order exists in the user identification result, the real-time display picture adjustment is carried out according to the initial setting data of the target user with the highest priority in the control priority order. And when the target user in the control priority order does not exist in the user identification result, the control parameters are displayed through the standard at the moment, and intelligent adjustment is performed according to the light ray data. The standard display control parameters comprise specific display setting parameters, corresponding light data and specific display effect evaluation images. By setting the control priority order of the target users, the real-time display picture is adjusted according to the current watching users, and the intellectualization of the digital television is further improved.
As shown in fig. 3, the method step 700 provided in the embodiment of the present application further includes:
step 750: acquiring acquisition interval setting information;
step 760: acquiring images of the watching user based on the second image acquisition device through the acquisition interval setting information to obtain images of the watching user;
step 770: performing sleep state evaluation on the watched user image to generate a sleep state evaluation index;
step 780: judging whether the sleep state evaluation index meets a first preset state threshold value or not;
step 790: and when the sleep state evaluation index meets the first preset state threshold, the digital television is adjusted to be in a first state.
Specifically, acquisition interval setting information is acquired, wherein the acquisition interval setting information can be preset as a fixed acquisition interval. Acquiring user images for watching the digital television based on the second image acquisition device through acquisition interval setting information, and acquiring the user images for watching, wherein the user images for watching can be user videos for watching the digital television with fixed duration and other images capable of acquiring the user watching state. And carrying out sleep state evaluation on the image of the watched user to generate a sleep state evaluation index, wherein the sleep state evaluation index is used for evaluating the sleep states of the user, such as tired, sleeping and the like. Taking a user image as a user watching video as an example, the user state is obtained by setting corresponding evaluation indexes according to the proportional relation between the eye opening duration and the eye closing duration of the user. If the user frequently closes eyes, the proportional relation between the eye opening time length and the eye closing time length of the user does not have obvious transformation, at the moment, the user state can be judged to be in a tired state, when the eye opening time length of the user is reduced and the proportional relation between the eye opening time length and the eye closing time length reaches a certain threshold value, the user can be judged to be in a semi-sleep state, and in order to avoid the user being awakened by digital television sound and stimulated by television brightness, the display and the sound of the digital television can be adjusted to reduce the television sound and the display brightness. And judging whether the sleep state evaluation index meets a first preset state threshold or not, namely judging whether the sleep state evaluation index reaches a semi-sleep state or not. When the sleep state evaluation index meets the first preset state threshold, the watching user reaches the semi-sleep state at the moment, and the digital television is adjusted to the first state at the moment, namely the sound size and the display brightness of the digital television are automatically reduced, so that the digital television reaches the first state of the digital television, wherein the first state can be set by the user according to the preference of the user or the digital television is the default first state. Through collecting the user state and adjusting the display of the digital television, the intellectualization of the digital television is further improved.
The method step 790 provided in the embodiment of the present application further includes:
step 791: triggering a continuous monitoring instruction when the sleep state evaluation index meets the first preset state threshold value;
step 792: the second image acquisition device is controlled to acquire continuous images of the watching user through the continuous monitoring instruction, so that continuous monitoring images are obtained;
step 793: performing sleep state evaluation based on the continuous monitoring images to generate a continuous sleep state evaluation index;
step 794: judging whether the continuous sleep state evaluation index meets a second preset state threshold value or not;
step 795: and when the continuous sleep state evaluation index meets the second preset state threshold, the digital television is adjusted to be in a second state.
Specifically, when the sleep state evaluation index meets the first preset state threshold, triggering a continuous monitoring instruction, wherein the continuous monitoring instruction is used for reducing a monitoring period or directly monitoring a user in a real-time monitoring mode. And controlling the second image acquisition device to acquire continuous images of the user through the continuous monitoring instruction, so as to obtain continuous monitoring images. And carrying out sleep state evaluation based on the continuous monitoring images, evaluating the proportion of the eye opening time and the eye closing time of the user in the continuous monitoring images to obtain the real-time state of the user, and generating a continuous sleep state evaluation index. And judging whether the continuous sleep state evaluation index meets a second preset state threshold, wherein the second preset state threshold is that the user is in a sleep state. When the user is in a sleep state, the user is asleep at the moment so as to avoid electricity consumption, and the television state can be adjusted to a second state, namely a state that the user is not interfered by a shutdown state or a mute state and the like, so that humanization of the digital television during watching is improved.
The method step 790 provided in the embodiment of the present application further includes:
step 796: when the continuous sleep state evaluation index meets the second preset state threshold value and a second user exists in the continuous monitoring image, initial setting data of the second user are obtained;
step 797: and adjusting the digital television to a third state according to the initial setting data of the second user.
Specifically, when the continuous sleep state evaluation index meets a second preset state threshold value and a second user exists in the continuous monitoring image, initial setting data of the second user are obtained. That is, when the user watching the television is a plurality of people, one user is asleep and the other user needs to continue watching, initial setting data of the second user is obtained at this time, and the digital television is adjusted to a third state according to the initial setting data of the second user. The third state is to set the picture by using the initial setting data of the second user, and further reduce the playing volume. The sleeping quality of the sleeping state user is prevented from being influenced, and the humanization of the digital television is further improved.
The method step 740 provided in the embodiment of the present application further includes:
step 741: constructing a call recognition voice call operation set of the user;
step 742: the voice acquisition device is used for acquiring real-time voice data to obtain real-time voice acquisition data;
step 743: performing the real-time voice acquisition data recognition through the voice operation set to obtain a recognition result;
step 744: when the recognition result is a voice call result, carrying out real-time image acquisition by the second image acquisition device to obtain a voice recognition image;
step 745: and when the voice recognition image recognition result is a voice call result, the digital television is adjusted to be in a fourth state.
Specifically, a user call recognition voice call operation set is constructed, wherein the call recognition voice call operation set is a reminding feature before a user performs a call, such as a mobile phone bell of the user, a dialing phone bell of the user and the like. And voice call habits when users receive or click on a phone, such as greeting the exchange object when most users exchange the phone, so as to obtain the greeting habits when the users call as a voice call operation set. And acquiring real-time voice data through the voice acquisition device to obtain real-time voice acquisition data. And carrying out the real-time voice acquisition data recognition through the voice operation set to obtain a recognition result. When the recognition result is a voice call result, that is, the user real-time voice collection includes a voice call set, the user may be in a call state. And then, carrying out real-time image acquisition through a second image acquisition device to obtain a voice recognition image, and further confirming the current state of the user. When the voice recognition image recognition result is a voice call result, namely, the voice recognition image is acquired through real-time image acquisition, the current state of the user is confirmed to be a voice call state, and the digital television is adjusted to be in a fourth state at the moment. The fourth state is set for the user call state, and at this time, the television sound can be directly turned off to avoid the influence of the television sound on the voice call of the user. By judging the current state of the user and setting different adjustment states, the use experience of the user is further improved.
The method step 740 provided in the embodiment of the present application further includes:
step 746: when the digital television is in a fourth state, carrying out real-time user image acquisition monitoring through the second image acquisition device;
step 747: performing feature recognition of the real-time user image acquisition monitoring result through ending the action feature;
step 748: and ending the fourth state when the ending action characteristic exists in the real-time user image acquisition monitoring result, and recovering to the state before voice communication.
Specifically, when the digital television is in the fourth state, the second image acquisition device is used for carrying out real-time user image acquisition monitoring. And acquiring a real-time image of the user, and then carrying out feature identification of a real-time user image acquisition monitoring result through ending action features to identify whether ending action features appear in the real-time user image acquisition monitoring result. The ending action feature is a feature of ending the call of the user, such as setting down the mobile phone and other ending features. And when the ending action characteristic appears in the real-time user image acquisition monitoring result, indicating that the user has finished talking. And ending the fourth state at the moment, and recovering to the setting state of the digital television before the voice call. The intelligent digital television is improved by judging the current state of the user and making adjustment in time, and the use experience of the user is improved.
The method step 740 provided in the embodiment of the present application further includes:
step 740-1: collecting the distribution positions of the light rays according to the real-time light ray data, and generating a light ray influence position area;
step 740-2: generating a region control parameter through the light ray influence position region;
step 740-3: and carrying out real-time display picture adjustment based on the data difference value, the area control parameter and the initial setting data to obtain the first picture adjustment result.
Specifically, light distribution position acquisition is performed according to real-time light data, the distribution position of the real-time light is obtained, and an influence position area of the light is generated. The light influencing position area is a light influencing range area generated by the distribution position of the light, and the influencing ranges of different light sources are different, so that the light influencing position area is generated according to the influencing ranges of the light sources. When the control parameter is in the area, the corresponding control parameter is acquired. Because the indoor light sources are relatively fixed, different regional control parameters can be set according to the distribution regions of the light, for example, different control parameters can be set for indoor lamplight and outdoor natural light of a window, the control parameters can be correspondingly set according to the product characteristics of manufacturers, and when corresponding distribution positions are acquired, the corresponding regional control parameters are acquired. And further, regional control parameters are generated according to the light influence position region. Furthermore, the real-time display picture adjustment is carried out according to the data difference value, the area control parameter and the initial setting data, so that the intelligent display picture adjustment of the digital television is further improved.
In summary, according to the method provided by the embodiment of the application, the initial setting data of the user is collected, and the screen working environment light data of the initial setting data is obtained, so that the initial light data is obtained. And setting and displaying image acquisition through an image acquisition device to obtain a display effect evaluation image. And acquiring real-time screen light data to obtain real-time light data and obtaining a data difference value between the real-time light and the initial light. And adjusting the display picture in real time based on the data difference value and the initial setting data. And then, carrying out picture acquisition on the adjustment picture through an image acquisition device to obtain a real-time evaluation image. And performing display comparison according to the display effect evaluation image and the real-time evaluation image to generate correction data. And performing correction control on the real-time display picture of the digital television based on the correction data. The intelligent adjustment of the digital television according to the actual state of the user is realized, and the use experience of the user is improved. The intelligent digital television system solves the technical problem that in the prior art, the digital television is low in intelligent degree, so that actual use experience of a user is poor.
Example two
Based on the same inventive concept as the digital television intelligent control method based on image processing in the foregoing embodiment, as shown in fig. 4, the present application provides an image processing based digital television intelligent control system, where the system is communicatively connected with a first image acquisition device and a display light sensing device, and the system includes:
the initial parameter acquisition module 11 is configured to acquire initial setting data of a target user, and acquire setting screen light data through the display light sensing device, so as to obtain initial light data;
a display effect evaluation image acquisition module 12, configured to acquire a display effect evaluation image by performing setting display image acquisition by the first image acquisition device;
the real-time light ray data acquisition module 13 is configured to acquire real-time screen light ray data through the display light ray sensing device, obtain real-time light ray data, and obtain a data difference value between the real-time light ray data and the initial light ray data;
a first picture adjustment result obtaining module 14, configured to perform real-time display picture adjustment based on the data difference value and the initial setting data, to obtain a first picture adjustment result;
the real-time evaluation image acquisition module 15 is configured to acquire an image through the first image acquisition device according to the first picture adjustment result, so as to obtain a real-time evaluation image;
a correction data generating module 16, configured to perform display comparison on the real-time evaluation image according to the display effect evaluation image, and generate correction data;
and the control module 17 is used for carrying out correction control on the real-time display picture of the digital television based on the correction data.
Further, the control module 17 is further configured to:
setting a control priority order of a target user;
performing image recognition of the watching user through the second image acquisition device to obtain a user recognition result;
judging whether a target user in a control priority order exists in the user identification result;
when the target user in the control priority order exists in the user identification result, real-time display picture adjustment is carried out according to the initial setting data of the target user with the highest priority in the control priority order.
Further, the control module 17 is further configured to:
acquiring acquisition interval setting information;
acquiring images of the watching user based on the second image acquisition device through the acquisition interval setting information to obtain images of the watching user;
performing sleep state evaluation on the watched user image to generate a sleep state evaluation index;
judging whether the sleep state evaluation index meets a first preset state threshold value or not;
and when the sleep state evaluation index meets the first preset state threshold, the digital television is adjusted to be in a first state.
Further, the control module 17 is further configured to:
triggering a continuous monitoring instruction when the sleep state evaluation index meets the first preset state threshold value;
the second image acquisition device is controlled to acquire continuous images of the watching user through the continuous monitoring instruction, so that continuous monitoring images are obtained;
performing sleep state evaluation based on the continuous monitoring images to generate a continuous sleep state evaluation index;
judging whether the continuous sleep state evaluation index meets a second preset state threshold value or not;
and when the continuous sleep state evaluation index meets the second preset state threshold, the digital television is adjusted to be in a second state.
Further, the control module 17 is further configured to:
when the continuous sleep state evaluation index meets the second preset state threshold value and a second user exists in the continuous monitoring image, initial setting data of the second user are obtained;
and adjusting the digital television to a third state according to the initial setting data of the second user.
Further, the control module 17 is further configured to:
constructing a call recognition voice call operation set of the user;
the voice acquisition device is used for acquiring real-time voice data to obtain real-time voice acquisition data;
performing the real-time voice acquisition data recognition through the voice operation set to obtain a recognition result;
when the recognition result is a voice call result, carrying out real-time image acquisition by the second image acquisition device to obtain a voice recognition image;
and when the voice recognition image recognition result is a voice call result, the digital television is adjusted to be in a fourth state.
Further, the control module 17 is further configured to:
when the digital television is in a fourth state, carrying out real-time user image acquisition monitoring through the second image acquisition device;
performing feature recognition of the real-time user image acquisition monitoring result through ending the action feature;
and ending the fourth state when the ending action characteristic exists in the real-time user image acquisition monitoring result, and recovering to the state before voice communication.
Further, the control module 17 is further configured to:
collecting the distribution positions of the light rays according to the real-time light ray data, and generating a light ray influence position area;
generating a region control parameter through the light ray influence position region;
and carrying out real-time display picture adjustment based on the data difference value, the area control parameter and the initial setting data to obtain the first picture adjustment result.
The second embodiment is used for executing the method as in the first embodiment, and the execution principle and the execution basis thereof can be obtained through the content described in the first embodiment, which is not repeated herein. Although the present application has been described in connection with specific features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application, and the content thus obtained also falls within the scope of the present application.
Claims (9)
1. The intelligent control method of the digital television based on the image processing is characterized in that the method is applied to an intelligent control system of the digital television, the intelligent control system of the digital television is in communication connection with a first image acquisition device and a display light sensing device, and the method comprises the following steps:
acquiring initial setting data of a target user, and acquiring setting screen light data through the display light sensing device to obtain initial light data, wherein the setting screen light data is screen light data after the initial data setting of the digital television by the target user;
acquiring a set display image through the first image acquisition device to obtain a display effect evaluation image, wherein the set display image is an actual display image of a digital television screen;
acquiring real-time screen light data through the display light sensing device to obtain real-time light data, and obtaining a data difference value between the real-time light data and the initial light data;
performing real-time display picture adjustment based on the data difference value and the initial setting data to obtain a first picture adjustment result;
the first image acquisition device is used for carrying out image acquisition on the first picture adjustment result to obtain a real-time evaluation image;
performing display comparison on the real-time evaluation image according to the display effect evaluation image to generate correction data;
and carrying out correction control on the real-time display picture of the digital television based on the correction data.
2. The method of claim 1, wherein the digital television intelligent control system is communicatively coupled to a second image acquisition device, the method further comprising:
setting a control priority order of a target user;
performing image recognition of the watching user through the second image acquisition device to obtain a user recognition result;
judging whether a target user in a control priority order exists in the user identification result;
when the target user in the control priority order exists in the user identification result, real-time display picture adjustment is carried out according to the initial setting data of the target user with the highest priority in the control priority order.
3. The method of claim 2, wherein the method further comprises:
acquiring acquisition interval setting information;
acquiring images of the watching user based on the second image acquisition device through the acquisition interval setting information to obtain images of the watching user;
performing sleep state evaluation on the watched user image to generate a sleep state evaluation index;
judging whether the sleep state evaluation index meets a first preset state threshold value or not;
and when the sleep state evaluation index meets the first preset state threshold, the digital television is adjusted to be in a first state.
4. A method as claimed in claim 3, wherein the method further comprises:
triggering a continuous monitoring instruction when the sleep state evaluation index meets the first preset state threshold value;
the second image acquisition device is controlled to acquire continuous images of the watching user through the continuous monitoring instruction, so that continuous monitoring images are obtained;
performing sleep state evaluation based on the continuous monitoring images to generate a continuous sleep state evaluation index;
judging whether the continuous sleep state evaluation index meets a second preset state threshold value or not;
and when the continuous sleep state evaluation index meets the second preset state threshold, the digital television is adjusted to be in a second state.
5. The method of claim 4, wherein the method further comprises:
when the continuous sleep state evaluation index meets the second preset state threshold value and a second user exists in the continuous monitoring image, initial setting data of the second user are obtained;
and adjusting the digital television to a third state according to the initial setting data of the second user.
6. The method of claim 2, wherein the digital television intelligent control system is communicatively coupled to a voice acquisition device, the method further comprising:
constructing a call recognition voice call operation set of the user;
the voice acquisition device is used for acquiring real-time voice data to obtain real-time voice acquisition data;
performing the real-time voice acquisition data recognition through the voice operation set to obtain a recognition result;
when the recognition result is a voice call result, carrying out real-time image acquisition by the second image acquisition device to obtain a voice recognition image;
and when the voice recognition image recognition result is a voice call result, the digital television is adjusted to be in a fourth state.
7. The method of claim 6, wherein the method further comprises:
when the digital television is in a fourth state, carrying out real-time user image acquisition monitoring through the second image acquisition device;
performing feature recognition of the real-time user image acquisition monitoring result through ending the action feature;
and ending the fourth state when the ending action characteristic exists in the real-time user image acquisition monitoring result, and recovering to the state before voice communication.
8. The method of claim 1, wherein the method further comprises:
collecting the distribution positions of the light rays according to the real-time light ray data, and generating a light ray influence position area;
generating a region control parameter through the light ray influence position region;
and carrying out real-time display picture adjustment based on the data difference value, the area control parameter and the initial setting data to obtain the first picture adjustment result.
9. An intelligent control system of a digital television based on image processing is characterized in that the system is in communication connection with a first image acquisition device and a display light sensing device, and the system comprises:
the initial parameter acquisition module is used for acquiring initial setting data of a target user, and acquiring setting screen light ray data through the display light ray sensing device to obtain initial light ray data, wherein the setting screen light ray data is screen light ray data after the target user performs initial data setting on the digital television;
the display effect evaluation image acquisition module is used for acquiring a set display image through the first image acquisition device to obtain a display effect evaluation image, wherein the set display image is an actual display image of a digital television screen;
the real-time light ray data acquisition module is used for acquiring real-time screen light ray data through the display light ray sensing device to obtain real-time light ray data and obtain a data difference value between the real-time light ray data and the initial light ray data;
the first picture adjustment result acquisition module is used for carrying out real-time display picture adjustment based on the data difference value and the initial setting data to obtain a first picture adjustment result;
the real-time evaluation image acquisition module is used for acquiring the image through the first image acquisition device according to the first picture adjustment result to obtain a real-time evaluation image;
the correction data generation module is used for carrying out display comparison on the real-time evaluation image according to the display effect evaluation image to generate correction data;
and the control module is used for carrying out correction control on the real-time display picture of the digital television based on the correction data.
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| CN114995724B (en) * | 2021-02-26 | 2024-05-14 | 广州视源电子科技股份有限公司 | Method, device and computer equipment for realizing noninductive interaction based on display screen |
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