A video communication screen AI automatic repair method and system based on 5G new communication

Abstract

The present invention discloses a method and system for automatic repair of video communication screens based on 5G new communication, including a video acquisition module, the output end of the video acquisition module is electrically connected to a 5G communication module, the output end of the 5G communication module is electrically connected to a video receiving module, the output end of the video receiving module is electrically connected to a decoding module, the output end of the decoding module is electrically connected to a main controller, the output end of the main controller is electrically connected to an image difference distinguishing module, the output end of the image difference distinguishing module is electrically connected to an image recognition module, and the output end of the image recognition module is electrically connected to an image splicing module. The AI ​​automatic repair system for video communication screens of the present invention changes the phenomenon of large traditional limitations, and adopts a variety of modules for high-quality restoration. When encountering a video screen with a large difference from the training data, the screen will not be unable to be perfectly restored or repaired, and the quality of the repair will not be affected.

Description

Technical Field

[0001] The present invention relates to the field of 5G new communication technology, and specifically to an AI automatic repair method and system for video communication screens based on 5G new communications. Background Art

[0002] According to the patents published on the China Patent Network, the patent name is: Intelligent video surveillance system based on AI vision, and the patent application number is: 202311641472.0, which includes a video access module, an AI video analysis module, a voice command analysis module, a monitoring strategy storage module and a communication module. Based on the target segmentation and classification capabilities in the field of machine vision and the AI ​​image-to-text capabilities, the monitoring video is analyzed in real time at the back end. Compared with the previous method of changing the alarm strategy by manually configuring or updating the firmware version and software version, the present invention supports setting the warning trigger rules of video monitoring through natural language instructions, saving the monitoring strategy on the server after AI analysis intention and user confirmation, comparing the key frame picture analysis results with the saved strategy, and triggering the alarm action according to the comparison results, which greatly reduces the cost of strategy change and enhances the user's interactive experience; using AI modules instead of real people for video monitoring is expected to greatly reduce labor costs, monitoring center construction and electricity consumption and other expenses; and the above-mentioned video communication screen AI automatic repair system has great limitations. When encountering a video screen that is significantly different from the training data, it will not be able to perfectly restore or repair the screen, affecting the quality of the repair.

[0003] Therefore, it is necessary to design and transform the AI ​​automatic repair system of video communication screen to effectively prevent the phenomenon of poor repair quality. Summary of the invention

[0004] In order to solve the problems raised in the above-mentioned background technology, the purpose of the present invention is to provide an AI automatic repair method and system for video communication screens based on 5G new communications, which has the advantage of increasing the repair quality and solves the problem of poor repair quality.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an AI automatic repair method and system for video communication screen based on 5G new communication, comprising a video acquisition module, the output end of the video acquisition module is electrically connected to the 5G communication module, the output end of the 5G communication module is electrically connected to the video receiving module, the output end of the video receiving module is electrically connected to the decoding module, the output end of the decoding module is electrically connected to the main controller, the output end of the main controller is electrically connected to the image difference distinguishing module, the output end of the image difference distinguishing module is electrically connected to the image recognition module, the output end of the image recognition module is electrically connected to the image splicing module, the output end of the image splicing module is electrically connected to the analysis module, and the analysis module The output end of the image restoration module is electrically connected to the enhancement module, the output end of the enhancement module is electrically connected to the brightness adjustment module, the output end of the brightness adjustment module is electrically connected to the super-resolution reconstruction module, the input end of the super-resolution reconstruction module is electrically connected to the enhancement module, the output end of the super-resolution reconstruction module is electrically connected to the color restoration module, the output end of the color restoration module is electrically connected to the intelligent interpolation module, the output end of the intelligent interpolation module is electrically connected to the motion compensation module, the output end of the motion compensation module is electrically connected to the noise reduction module, the output end of the noise reduction module is electrically connected to the post-processing module, and the output end of the post-processing module is electrically connected to the user interface interaction module.

[0006] As a preferred embodiment of the present invention, the input end of the user interface interaction module is electrically connected to an effect evaluation module, and the effect evaluation module is used in conjunction with the user interface interaction module.

[0007] As a preferred embodiment of the present invention, the input end of the user interface interaction module is electrically connected to a system monitoring and maintenance module, and the system monitoring and maintenance module is used in conjunction with the user interface interaction module.

[0008] As a preferred embodiment of the present invention, the input end of the user interface interaction module is electrically connected to a feedback module, and the feedback module is used in conjunction with the user interface interaction module.

[0009] As a preferred embodiment of the present invention, the input end of the main controller is electrically connected to a power module, and the power module is used in conjunction with the main controller.

[0010] As a preferred embodiment of the present invention, the video acquisition module is composed of a video stream capture module, a frame buffer and scheduling module, an error processing and recovery module and a cross-platform adaptation module.

[0011] As a preferred embodiment of the present invention, the video receiving module is composed of a radio frequency front-end module, a demodulation module, a synchronization and clock recovery module and a cache and buffer module.

[0012] As a preferred method of use of the present invention, the following steps are included: S1: First, the video is acquired through the video acquisition module, and then the signal is connected through the 5G communication module, and then the video is received through the video receiving module, and then the decoding module is used for decoding processing, and then the decoded video is transmitted to the image difference differentiation module through the main controller, the image difference differentiation module distinguishes the video image, and then the image recognition module and the image stitching module are used for identification and stitching, and then the image is analyzed through the analysis module, and then the analyzed image is repaired through the image repair module, and then the repair effect is enhanced through the enhancement module, and then the image brightness is adjusted through the brightness adjustment module, and then the resolution is reorganized through the super-resolution reconstruction module, and then the color restoration module and the intelligent interpolation module are used for color restoration and frame number restoration, and then the motion compensation module and the noise reduction module are used for subsequent restoration, and then the repaired picture is transmitted to the user interface interaction module through the post-processing module, so as to achieve the effect of increasing the repair quality.

[0013] S2: Then the video stream capture module, frame cache and scheduling module, error handling and recovery module and cross-platform adaptation module in the video acquisition module enhance the quality of video acquisition. The RF front-end module, demodulation module, synchronization and clock recovery module and cache and buffer module in the video receiving module ensure the stability of video reception. Together with the power supply module, the main controller has more power, ensuring its operational stability, thereby achieving the effect of assisting repair.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The AI ​​automatic repair system for video communication screens of the present invention has changed the phenomenon of large traditional limitations and adopts multiple modules for high-quality restoration. When encountering video screens that are significantly different from the training data, the screen will not be unable to be perfectly restored or repaired, and the quality of the repair will not be affected.

[0015] 2. Through the setting of the effect evaluation module, the present invention can perform quality evaluation on the repaired video images, including subjective evaluation and objective indicator evaluation. According to the evaluation results, the AI ​​automatic repair module is adjusted and optimized to improve the repair effect and accuracy.

[0016] 3. The present invention can monitor and maintain the entire system through the setting of the system monitoring and maintenance module to avoid system instability.

[0017] 4. The present invention can provide feedback on the repair situation through the setting of the feedback module, thereby avoiding the phenomenon of being unable to understand the situation in time.

[0018] 5. The present invention can provide a more sufficient amount of power to the main controller by setting a power module, thus avoiding power outages.

[0019] 6. The video acquisition module of the present invention is composed of a video stream capture module, a frame buffer and scheduling module, an error processing and recovery module and a cross-platform adaptation module, which can make video acquisition more stable and improve the quality of acquisition.

[0020] 7. The video receiving module of the present invention is configured to be composed of a radio frequency front-end module, a demodulation module, a synchronization and clock recovery module, and a cache and buffer module, which can protect video reception and avoid unstable reception. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural system diagram of the present invention; Figure 2 It is a system diagram of the video acquisition module of the present invention; Figure 3 It is a system diagram of the video receiving module of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] like Figures 1 to 3As shown, the present invention provides an AI automatic repair method and system for video communication screens based on 5G new communication, including a video acquisition module, an output end of the video acquisition module is electrically connected to the 5G communication module, an output end of the 5G communication module is electrically connected to the video receiving module, an output end of the video receiving module is electrically connected to the decoding module, an output end of the decoding module is electrically connected to the main controller, an output end of the main controller is electrically connected to the image difference distinguishing module, an output end of the image difference distinguishing module is electrically connected to the image recognition module, an output end of the image recognition module is electrically connected to the image splicing module, an output end of the image splicing module is electrically connected to the analysis module, and an output end of the analysis module is electrically connected to the image difference distinguishing module. An image restoration module is electrically connected, an output end of the image restoration module is electrically connected to an enhancement module, an output end of the enhancement module is electrically connected to a brightness adjustment module, an output end of the brightness adjustment module is electrically connected to a super-resolution reconstruction module, an input end of the super-resolution reconstruction module is electrically connected to the enhancement module, an output end of the super-resolution reconstruction module is electrically connected to a color restoration module, an output end of the color restoration module is electrically connected to an intelligent interpolation module, an output end of the intelligent interpolation module is electrically connected to a motion compensation module, an output end of the motion compensation module is electrically connected to a noise reduction module, an output end of the noise reduction module is electrically connected to a post-processing module, and an output end of the post-processing module is electrically connected to a user interface interaction module.

[0024] refer to Figure 1 The input end of the user interface interaction module is electrically connected to the effect evaluation module, and the effect evaluation module is used in conjunction with the user interface interaction module.

[0025] As a technical optimization solution of the present invention, through the setting of the effect evaluation module, the quality of the repaired video picture can be evaluated, including subjective evaluation and objective indicator evaluation. According to the evaluation results, the AI ​​automatic repair module is adjusted and optimized to improve the repair effect and accuracy.

[0026] refer to Figure 1 The input end of the user interface interaction module is electrically connected to the system monitoring and maintenance module, and the system monitoring and maintenance module is used in conjunction with the user interface interaction module.

[0027] As a technical optimization solution of the present invention, by setting up a system monitoring and maintenance module, the overall system can be monitored and maintained to avoid system instability.

[0028] refer to Figure 1 The input end of the user interface interaction module is electrically connected to a feedback module, and the feedback module is used in conjunction with the user interface interaction module.

[0029] As a technical optimization solution of the present invention, by setting up a feedback module, feedback can be given on the repair situation to avoid the phenomenon of being unable to understand the situation in time.

[0030] refer to Figure 1 The input end of the main controller is electrically connected to a power module, and the power module is used in conjunction with the main controller.

[0031] As a technical optimization solution of the present invention, by setting up a power module, the power of the main controller can be more sufficient to avoid power outages.

[0032] refer to Figure 2 ,The video acquisition module is composed of video stream capture module, frame buffer and scheduling module, error handling and recovery module and cross-platform adaptation module.

[0033] As a technical optimization solution of the present invention, the video acquisition module is composed of a video stream capture module, a frame buffer and scheduling module, an error handling and recovery module and a cross-platform adaptation module, which can make video acquisition more stable and improve the quality of acquisition.

[0034] refer to Figure 3 ,The video receiving module is composed of the RF front-end module, the demodulation module, the synchronization and ,clock recovery module and the cache and buffer module.

[0035] As a technical optimization solution of the present invention, the video receiving module is configured to consist of a radio frequency front-end module, a demodulation module, a synchronization and clock recovery module, and a cache and buffer module, which can protect video reception and avoid unstable reception.

[0036] S1: First, the video is acquired through the video acquisition module, and then the signal is connected through the 5G communication module, and then the video is received through the video receiving module, and then the decoding module is used for decoding processing, and then the decoded video is transmitted to the image difference differentiation module through the main controller, the image difference differentiation module distinguishes the video image, and then the image recognition module and the image stitching module are used for identification and stitching, and then the image is analyzed through the analysis module, and then the analyzed image is repaired through the image repair module, and then the repair effect is enhanced through the enhancement module, and then the image brightness is adjusted through the brightness adjustment module, and then the resolution is reorganized through the super-resolution reconstruction module, and then the color restoration module and the intelligent interpolation module are used for color restoration and frame number restoration, and then the motion compensation module and the noise reduction module are used for subsequent restoration, and then the repaired picture is transmitted to the user interface interaction module through the post-processing module, so as to achieve the effect of increasing the repair quality.

[0037] S2: Then the video stream capture module, frame cache and scheduling module, error handling and recovery module and cross-platform adaptation module in the video acquisition module enhance the quality of video acquisition. The RF front-end module, demodulation module, synchronization and clock recovery module and cache and buffer module in the video receiving module ensure the stability of video reception. Together with the power supply module, the main controller has more power, ensuring its operational stability, thereby achieving the effect of assisting repair.

[0038] The working principle and use process of the present invention are as follows: first, the video is collected through the video acquisition module, and then the signal connection is made through the 5G communication module, and then the video is received through the video receiving module, and then the decoding process is performed through the decoding module, and then the decoded video is transmitted to the image difference distinguishing module through the main controller, and the image difference distinguishing module distinguishes the video image, and then the image recognition module and the image stitching module are used to identify and stitch, and then the image is analyzed through the analysis module, and then the analyzed image is repaired through the image repair module, and then the repair effect is enhanced through the enhancement module, and then the image brightness is adjusted through the brightness adjustment module, and then the resolution is reconstructed through the super-resolution reconstruction module. group, and then use the color restoration module and the intelligent interpolation module to perform color restoration and frame number restoration, and then cooperate with the motion compensation module and the noise reduction module for subsequent restoration, and then pass the repaired picture to the user interface interaction module through the post-processing module, so as to achieve the effect of increasing the repair quality, and then the video stream capture module, frame cache and scheduling module, error handling and recovery module and cross-platform adaptation module in the video acquisition module enhance the quality of video acquisition, and the RF front-end module, demodulation module, synchronization and clock recovery module and cache and buffer module in the video receiving module ensure the stability of video reception, and then cooperate with the power supply module to make the main controller more powerful, ensuring its operating stability, so as to achieve the effect of auxiliary repair.

[0039] To sum up: the video communication screen AI automatic repair method and system based on 5G new communication has changed the traditional phenomenon of large limitations through the video communication screen AI automatic repair system, and adopted multiple modules for high-quality restoration. When encountering video screens that are significantly different from the training data, the screen will not be unable to be perfectly restored or repaired, and the quality of the repair will not be affected.

[0040] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A video communication screen AI automatic repair system based on 5G new communication, including a video acquisition module, characterized in that: The output end of the video acquisition module is electrically connected to a 5G communication module, the output end of the 5G communication module is electrically connected to a video receiving module, the output end of the video receiving module is electrically connected to a decoding module, the output end of the decoding module is electrically connected to a main controller, the output end of the main controller is electrically connected to an image difference distinguishing module, the output end of the image difference distinguishing module is electrically connected to an image recognition module, the output end of the image recognition module is electrically connected to an image stitching module, the output end of the image stitching module is electrically connected to an analysis module, the output end of the analysis module is electrically connected to an image repair module, and the output end of the image repair module is electrically connected to an image difference distinguishing module. An enhancement module is connected, the output end of the enhancement module is electrically connected to a brightness adjustment module, the output end of the brightness adjustment module is electrically connected to a super-resolution reconstruction module, the input end of the super-resolution reconstruction module is electrically connected to the enhancement module, the output end of the super-resolution reconstruction module is electrically connected to a color restoration module, the output end of the color restoration module is electrically connected to an intelligent interpolation module, the output end of the intelligent interpolation module is electrically connected to a motion compensation module, the output end of the motion compensation module is electrically connected to a noise reduction module, the output end of the noise reduction module is electrically connected to a post-processing module, and the output end of the post-processing module is electrically connected to a user interface interaction module.

2. According to claim 1, a video communication screen AI automatic repair system based on 5G new communication is characterized in that: The input end of the user interface interaction module is electrically connected to an effect evaluation module, and the effect evaluation module is used in conjunction with the user interface interaction module.

3. According to claim 1, a video communication screen AI automatic repair system based on 5G new communication is characterized in that: The input end of the user interface interaction module is electrically connected to a system monitoring and maintenance module, and the system monitoring and maintenance module is used in conjunction with the user interface interaction module.

4. According to claim 1, the AI ​​automatic repair system for video communication images based on 5G new communication is characterized in that: The input end of the user interface interaction module is electrically connected to a feedback module, and the feedback module is used in conjunction with the user interface interaction module.

5. According to claim 1, the AI ​​automatic repair system for video communication images based on 5G new communication is characterized in that: The input end of the main controller is electrically connected to a power module, and the power module is used in conjunction with the main controller.

6. According to claim 1, a video communication screen AI automatic repair system based on 5G new communication is characterized in that: The video acquisition module is composed of a video stream capture module, a frame buffer and scheduling module, an error processing and recovery module and a cross-platform adaptation module.

7. According to claim 1, a video communication screen AI automatic repair system based on 5G new communication is characterized in that: The video receiving module is composed of a radio frequency front-end module, a demodulation module, a synchronization and clock recovery module, and a cache and buffer module.

8. A method for an AI automatic repair system for video communication images based on 5G new communication according to any of the above claims, characterized in that: The method comprises the following steps: S1: first, the video is collected by the video acquisition module, and then the signal is connected by the 5G communication module, and then the video is received by the video receiving module, and then the decoding is processed by the decoding module, and then the decoded video is transmitted to the image difference distinguishing module through the main controller, the image difference distinguishing module distinguishes the video image, and then the image recognition module and the image stitching module are used to identify and stitch, and then the image is analyzed by the analysis module, and then the analyzed image is repaired by the image repair module, and then the repair effect is enhanced by the enhancement module, and then the image brightness is adjusted by the brightness adjustment module, and then the resolution is reorganized by the super-resolution reconstruction module, and then Then, the color restoration and frame number restoration are performed through the color restoration module and the intelligent interpolation module, and then the motion compensation module and the noise reduction module are used for subsequent restoration, and then the restored image is transmitted to the user interface interaction module through the post-processing module, so as to achieve the effect of increasing the repair quality; S2: Then the video stream capture module, frame buffer and scheduling module, error handling and recovery module and cross-platform adaptation module in the video acquisition module enhance the quality of video acquisition, and the RF front-end module, demodulation module, synchronization and clock recovery module and cache and buffer module in the video receiving module ensure the stability of video reception, and then cooperate with the power supply module to make the main controller more powerful, ensuring its operating stability, so as to achieve the effect of auxiliary restoration.

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