Artificial-intelligence-based method and system for creating viewing atmosphere in vehicle cabin

Abstract

An artificial-intelligence (AI)-based method and system for creating movie viewing ambience in an automotive cabin. The method comprises: an AI content recognition and analysis module automatically analyzing movie content to be viewed that is selected by a user, in order to obtain a content recognition result of said movie content, wherein the content recognition result is used for indicating a movie genre, scenes and an emotional tone of said movie content; on the basis of the content recognition result, an AI generative module generating a corresponding ambience rendering mode for all screens and lighting systems in an automotive cabin; on the basis of the movie genre and the scenes, an AI audio effect control module adjusting an audio effect of an audio system, wherein the audio effect is synchronized with the ambience rendering mode; and a user feedback module collecting feedback data of the user in real time, and dynamically adjusting the ambience rendering mode on the basis of the feedback data. By using artificial intelligence technology, the method can realize the ambience rendering in which multiple screens and lighting systems in an automotive cabin are synchronized with movie content that is being viewed, thereby providing users with personalized and immersive movie viewing experience.

Description

AI-based methods and systems for creating a cinematic atmosphere in car cabins

[0001] This application claims priority to Chinese Patent Application No. 202411212612.7, filed on August 30, 2024, entitled "Method and System for Creating a Cockpit Cinema Atmosphere Based on Artificial Intelligence", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of intelligent vehicle technology, and in particular to a method and system for creating an artificial intelligence-based movie-watching atmosphere in a car cabin. Background Technology

[0003] With the development of automotive technology, modern car cabins are equipped with various screens and lighting systems, such as central control screens, instrument panel screens, auxiliary screens, rear screens, ceiling-mounted screens, interior ambient lighting, and exterior headlights. However, these devices usually operate independently and lack the ability to create an immersive atmosphere synchronized with the content being viewed. Summary of the Invention

[0004] In view of the above-mentioned deficiencies of the prior art, this application proposes a method and system for creating a car cabin movie-watching atmosphere based on artificial intelligence, so as to solve the problems described in the background art.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] A method for creating a car cabin movie-watching atmosphere based on artificial intelligence, the method being executed by computer equipment, includes:

[0007] The AI ​​content recognition and analysis module automatically analyzes the movie content selected by the user to obtain the content recognition result of the movie content. The content recognition result is used to indicate the movie type, scene and emotional tone of the movie content.

[0008] Based on the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the car cabin. The atmosphere rendering modes include one or more of the following: simulated flashing lights in a thunderstorm scene, ambient lighting changes in a horror scene, and soft lighting adjustments in a romantic scene.

[0009] The AI ​​sound effect control module adjusts the sound effects of the sound system according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode.

[0010] The user feedback module collects user feedback data in real time and dynamically adjusts the atmosphere rendering mode based on the feedback data.

[0011] Furthermore, the automatic analysis of the user-selected viewing content by the AI ​​content recognition and analysis module to obtain the content recognition result of the viewing content includes:

[0012] Receive the movie content information and video stream data input by the user, wherein the movie content information includes movie name, genre, director, and actors;

[0013] Deep learning algorithms are used to perform sentiment analysis and atmosphere analysis on the viewing content information and the video stream data to obtain the content analysis results. The content analysis results include sentiment analysis results and atmosphere analysis results. The sentiment analysis is used to identify the emotional tone of the viewing content, and the atmosphere analysis is used to identify the theme of the viewing content and the time frame data of key scenes in the viewing content.

[0014] Furthermore, the AI-generated module generates corresponding ambient rendering modes for all screens and lighting systems within the car cabin based on the content recognition results, including:

[0015] Based on the content analysis results, the AI ​​generative module generates visual effects that match the theme of the viewing content. These visual effects are used to indicate the atmosphere rendering mode and include color schemes, dynamic patterns, and transition effects.

[0016] Based on the visual effect, the other screens in the car cabin are configured to obtain the display content of the other screens;

[0017] The system controls the lighting system in the vehicle cabin according to the visual effect, and adjusts the color and brightness of the lights according to the color scheme.

[0018] Furthermore, the AI ​​sound effect control module adjusts the sound effects of the sound system according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode, including:

[0019] Real-time monitoring of key scene changes in the film, and preliminary adjustment of the sound effects of the sound system based on the key scene changes, the key scene changes including at least one of the following: battle changes, chase changes, and romance changes;

[0020] The sound effects of the audio system are readjusted using multi-channel surround sound technology, which is used to simulate the propagation of sound in three-dimensional space to obtain a stereo and realistic auditory experience.

[0021] Based on the user's seating position and the acoustic characteristics of the car cabin, the sound effect of the audio system is adjusted for sound localization and balance to ensure that each seat can obtain the best listening effect.

[0022] Furthermore, the step of collecting user feedback data in real time through the user feedback module and dynamically adjusting the atmosphere rendering mode based on the feedback data includes:

[0023] The user's physiological data, including heart rate, respiratory rate, and skin conductance, is monitored by sensors and used to assess the user's emotional state and stress level.

[0024] The user's behavioral data is captured using a camera or motion tracking technology. The behavioral data includes the user's head position, body position, posture changes, and hand gestures.

[0025] Facial expression recognition technology is used to analyze the user's micro-expressions, which are used to indicate the user's level of satisfaction with the current atmosphere and emotional feedback.

[0026] By integrating a speech recognition system, the tone changes in the user's voice commands are analyzed, and these tone changes are used to indicate the user's intentions and emotions.

[0027] The collected physiological data, behavioral data, micro-expressions, and tone changes are input into an AI algorithm. The AI ​​algorithm analyzes the user's viewing experience in real time and dynamically adjusts the atmosphere rendering mode based on the analysis results.

[0028] This application also proposes an in-vehicle infotainment system for creating a cinematic atmosphere in the car cabin based on artificial intelligence, including:

[0029] The AI ​​content recognition and analysis module is used to automatically analyze and recognize the viewing content, and obtain the content recognition result of the viewing content. The content recognition result is used to indicate the film type, scene, and emotional tone of the viewing content.

[0030] The AI-generated module is used to generate corresponding atmosphere rendering modes for all screens and lighting systems in the car cabin based on the content recognition results. The atmosphere rendering modes include one or more of the following: simulated flashing lights in a thunderstorm scene, ambient lighting changes in a horror scene, and soft lighting adjustments in a romantic scene.

[0031] The AI ​​sound effect control module is used to adjust the sound effects of the sound system according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode;

[0032] The user feedback module is used to collect user feedback data in real time and dynamically adjust the atmosphere rendering mode based on the feedback data.

[0033] Furthermore, the AI ​​content recognition and analysis module is used for:

[0034] Receive the movie content information and video stream data input by the user, wherein the movie content information includes movie name, genre, director, and actors;

[0035] Deep learning algorithms are used to perform sentiment analysis and atmosphere analysis on the viewing content information and the video stream data to obtain the content analysis results. The content analysis results include sentiment analysis results and atmosphere analysis results. The sentiment analysis is used to identify the emotional tone of the viewing content, and the atmosphere analysis is used to identify the theme of the viewing content and the time frame data of key scenes in the viewing content.

[0036] Furthermore, the AI ​​generative module is used for:

[0037] Based on the content analysis results, the AI ​​generative module generates visual effects that match the theme of the viewing content. These visual effects are used to indicate the atmosphere rendering mode and include color schemes, dynamic patterns, and transition effects.

[0038] Based on the visual effect, the other screens in the car cabin are configured to obtain the display content of the other screens;

[0039] The system controls the lighting system in the vehicle cabin according to the visual effect, and adjusts the color and brightness of the lights according to the color scheme.

[0040] Furthermore, the AI ​​sound effect control module is used for:

[0041] Real-time monitoring of key scene changes in the film, and preliminary adjustment of the sound effects of the sound system based on the key scene changes, the key scene changes including at least one of the following: battle changes, chase changes, and romance changes;

[0042] The sound effects of the audio system are readjusted using multi-channel surround sound technology, which is used to simulate the propagation of sound in three-dimensional space to obtain a stereo and realistic auditory experience.

[0043] Based on the user's seating position and the acoustic characteristics of the car cabin, the sound effect of the audio system is adjusted for sound localization and balance to ensure that each seat can obtain the best listening effect.

[0044] Furthermore, the user feedback module is used for:

[0045] The user's physiological data, including heart rate, respiratory rate, and skin conductance, is monitored by sensors and used to assess the user's emotional state and stress level.

[0046] The user's behavioral data is captured using a camera or motion tracking technology. The behavioral data includes the user's head position, body position, posture changes, and hand gestures.

[0047] Facial expression recognition technology is used to analyze the user's micro-expressions, which are used to indicate the user's level of satisfaction with the current atmosphere and emotional feedback.

[0048] By integrating a speech recognition system, the tone changes in the user's voice commands are analyzed, and these tone changes are used to indicate the user's intentions and emotions.

[0049] The collected physiological data, behavioral data, micro-expressions, and tone changes are input into an AI algorithm. The AI ​​algorithm analyzes the user's viewing experience in real time and dynamically adjusts the atmosphere rendering mode based on the analysis results.

[0050] This application has the following technical advantages:

[0051] This application utilizes artificial intelligence technology to determine an ambient rendering mode that matches the content recognition results of the user's selected viewing content. This enables synchronized ambient rendering of multiple screens and lighting systems within the car cabin with the viewing content. Furthermore, it can dynamically adjust the ambient rendering mode based on user feedback data, providing users with a more personalized and immersive viewing experience. Attached Figure Description

[0052] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0053] Figure 1 is a flowchart of the method of this application.

[0054] Figure 2 is a block diagram of the AI ​​content recognition and analysis module of this application.

[0055] Figure 3 is a block diagram of the AI ​​generative module of this application.

[0056] Figure 4 is a block diagram of the AI ​​sound effect control module of this application.

[0057] Figure 5 is a block diagram of the user feedback module of this application. Detailed Implementation

[0058] The present application will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.

[0059] The following detailed descriptions are exemplary and intended to provide further detailed explanation of this application. Unless otherwise specified, all technical terms used in this application have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application.

[0060] Example 1

[0061] As shown in Figures 1-5, this application proposes an artificial intelligence-based method for creating a cinematic atmosphere in a car cabin, including:

[0062] The AI ​​content recognition and analysis module automatically analyzes the movie content selected by the user and obtains the content recognition results of the movie content. The content recognition results are used to indicate the movie type, scene and emotional tone of the movie content.

[0063] Based on the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the car cabin. The atmosphere rendering modes include one or more of the following: simulated flashing lights in a thunderstorm scene, ambient lighting changes in a horror scene, and soft lighting adjustments in a romantic scene.

[0064] The AI ​​sound effect control module adjusts the sound system's sound effects according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode.

[0065] The user feedback module collects user feedback data in real time and dynamically adjusts the atmosphere rendering mode based on the feedback data.

[0066] This application utilizes artificial intelligence technology to determine an ambient rendering mode that matches the content recognition results of the user's selected viewing content. This enables synchronized ambient rendering of multiple screens and lighting systems within the car cabin with the viewing content. Furthermore, it can dynamically adjust the ambient rendering mode based on user feedback data, providing users with a more personalized and immersive viewing experience.

[0067] As shown in Figure 1, video stream data and video meta information are input into a large model to perform recognition and atmosphere requirement generation, resulting in video atmosphere requirement stream data. Then, based on the video stream data, video meta information, and video atmosphere requirement stream data, the cabin screens and interior / exterior lighting are configured, and an atmosphere creation scheme is generated using AI (Artificial Intelligence) technology. The atmosphere creation scheme includes an ambient lighting control scheme, an exterior lighting control scheme, and a cabin multi-screen display scheme. Based on the video stream data, video meta information, and the atmosphere creation scheme, the controllers of the main unit and the entire vehicle are adjusted to create a viewing atmosphere corresponding to the content being watched.

[0068] In some embodiments, user-inputted viewing content information and video stream data are received. The viewing content information includes the movie title, genre, director, and actors. Deep learning algorithms are used to perform sentiment analysis and atmosphere analysis on the viewing content information and video stream data to obtain content analysis results. The content analysis results include sentiment analysis results and atmosphere analysis results. Sentiment analysis is used to identify the emotional tone of the viewing content, and atmosphere analysis is used to identify the theme of the viewing content and the time frame data of key scenes in the viewing content.

[0069] As shown in Figure 2, the viewing content information and video stream data are input into the AI ​​content recognition and analysis module. Deep learning algorithms are used to perform sentiment analysis on the viewing content information and video stream data, yielding sentiment analysis results. Similarly, deep learning algorithms are used to perform atmosphere analysis on the viewing content information and video stream data, yielding atmosphere analysis results. By performing sentiment and atmosphere analysis on the viewing content, the emotional tone, theme, and time frame data of key scenes in the viewing content are obtained. This provides sufficient reference for determining the atmosphere rendering mode and improves the matching degree between the atmosphere rendering mode and the viewing content.

[0070] In some embodiments, an AI-generated module generates visual effects that match the theme of the viewing content based on content analysis results. These visual effects, including color schemes, dynamic patterns, and transition effects, are used to indicate the atmosphere rendering mode. Other screens within the vehicle cabin are configured based on these visual effects to determine their display content. The lighting system within the vehicle cabin is controlled according to the visual effects, and the color and brightness of the lights are adjusted based on the color scheme.

[0071] As shown in Figure 3, the sentiment analysis and atmosphere analysis results obtained above are input into the AI ​​generative module to generate visual effects that match the theme of the viewing content. Based on the visual effects, the screens in the car cabin are personalized, the displayed content is adjusted according to the characteristics of the viewing content, and the light color and brightness are adjusted according to the atmosphere rendering mode. Through the above-mentioned scheme of generating atmosphere rendering modes, the atmosphere rendering of multiple screens and lighting systems in the car cabin is synchronized with the viewing content, which satisfies the creation of a viewing atmosphere in the car cabin, creates an immersive viewing environment for users, and helps to improve user satisfaction.

[0072] In some embodiments, key scene changes in the film are monitored in real time, and the sound effects of the audio system are initially adjusted based on these changes. Key scene changes include at least one of the following: battle changes, chase changes, and romantic changes. Multi-channel surround sound technology is used to further adjust the sound effects of the audio system, simulating the propagation of sound in three-dimensional space to achieve a stereoscopic and realistic auditory experience. Based on the user's seating position and the acoustic characteristics of the car cabin, sound positioning and balance adjustments are made to ensure optimal listening for each seat.

[0073] As shown in Figure 4, after creating an immersive viewing environment, the system monitors changes in key scenes in the film in real time and dynamically adjusts the sound system. Using multi-channel surround sound technology, it simulates the propagation of sound in three-dimensional space, providing a more three-dimensional and realistic auditory experience. Then, based on the user's seat position and the acoustic characteristics of the car cabin, it performs sound positioning and balance adjustments to ensure that each seat can obtain the best auditory effect.

[0074] In some embodiments, sensors monitor the user's physiological data, including heart rate, respiratory rate, and skin conductance, to assess the user's emotional state and stress level. Cameras or motion tracking technology capture the user's behavioral data, including head position, body position, posture changes, and hand gestures. Facial expression recognition technology analyzes the user's micro-expressions, indicating their satisfaction with the current atmosphere and their emotional response. An integrated speech recognition system analyzes tone variations in the user's voice commands, indicating their intentions and emotions. The collected physiological data, behavioral data, micro-expressions, and tone variations are input into an AI algorithm. This algorithm analyzes the user's viewing experience in real time and dynamically adjusts the atmosphere rendering mode based on the analysis results.

[0075] As shown in Figure 5, sensors can be deployed on the user to monitor their physiological data and assess their emotional state and stress level. Then, cameras or motion tracking technology are used to capture the user's behavioral data, including head and body position, posture changes, and gestures. Facial expression recognition technology analyzes the user's micro-expressions to obtain their satisfaction with the current atmosphere and emotional feedback. An integrated speech recognition system analyzes the user's voice commands and tone changes to identify their intentions and emotions. Finally, the collected data is input into an AI algorithm to analyze the user's viewing experience in real time and adjust the atmosphere rendering mode based on the analysis results. This allows the atmosphere rendering mode to be adjusted according to changes in user needs, making the viewing atmosphere in the car cabin more consistent with the user's current emotional response, providing a more personalized and immersive viewing experience, and improving user satisfaction with the created atmosphere.

[0076] Example 2

[0077] As shown in Figures 1-5, this application also proposes an in-vehicle infotainment system for creating a car cabin viewing atmosphere based on artificial intelligence, including:

[0078] The AI ​​content recognition and analysis module is used to automatically analyze and recognize the viewing content, and obtain the content recognition results of the viewing content. The content recognition results are used to indicate the film type, scene and emotional tone of the viewing content.

[0079] The AI-generated module is used to generate corresponding atmosphere rendering modes for all screens and lighting systems in the car cabin based on the content recognition results. The atmosphere rendering modes include one or more of the following: simulated flashing lights in a thunderstorm scene, ambient lighting changes in a horror scene, and soft lighting adjustments in a romantic scene.

[0080] The AI ​​sound effect control module is used to adjust the sound effects of the sound system according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode.

[0081] The user feedback module is used to collect user feedback data in real time and dynamically adjust the atmosphere rendering mode based on the feedback data.

[0082] In some embodiments, the AI ​​content recognition and analysis module is used to receive viewing content information and video stream data input by the user. The viewing content information includes the movie name, genre, director, and actors. It uses deep learning algorithms to perform sentiment analysis and atmosphere analysis on the viewing content information to obtain content analysis results. The content analysis results include sentiment analysis results and atmosphere analysis results. Sentiment analysis is used to identify the emotional tone of the viewing content, and atmosphere analysis is used to identify the theme of the viewing content and the time frame data of key scenes in the viewing content.

[0083] In some embodiments, the AI-generated module is used to generate visual effects that match the theme of the viewing content based on the content analysis results. The visual effects are used to indicate the atmosphere rendering mode and include color schemes, dynamic patterns, and transition effects. The module also configures other screens in the car cabin according to the visual effects to obtain the display content of the other screens. Furthermore, the module controls the lighting system in the car cabin according to the visual effects and adjusts the color and brightness of the lights according to the color scheme.

[0084] In some embodiments, the AI ​​sound effect control module is used to monitor key scene changes in the film in real time, and dynamically adjust the sound effects of the sound system based on the key scene changes. The key scene changes include at least one of the following: battle changes, chase changes, and romantic changes. The sound effects of the sound system are then readjusted using multi-channel surround sound technology, which is used to simulate the propagation of sound in three-dimensional space to obtain a stereo and realistic auditory experience. Based on the user's seat position and the acoustic characteristics of the car cabin, the sound effects of the sound system are adjusted for sound localization and balance, which is used to ensure that each seat can obtain the best listening effect.

[0085] In some embodiments, the user feedback module is used to monitor the user's physiological data via sensors, including heart rate, respiratory rate, and skin conductance, which are used to assess the user's emotional state and stress level; capture the user's behavioral data using cameras or motion tracking technology, including the user's head position, body position, posture changes, and hand gestures; analyze the user's micro-expressions using facial expression recognition technology, which are used to indicate the user's satisfaction with the current atmosphere and emotional feedback; analyze the tone changes in the user's voice commands by integrating a speech recognition system, which are used to indicate the user's intentions and emotions; and input the collected physiological data, behavioral data, micro-expressions, and tone changes into an AI algorithm to analyze the user's viewing experience in real time and dynamically adjust the atmosphere rendering mode based on the analysis results.

[0086] Example 3

[0087] The specific implementation process of this application includes the following steps:

[0088] 1. Users can select the movie they want to watch through the vehicle's central control system.

[0089] 2. The AI ​​content recognition and analysis module receives film information and analyzes the film's features using deep learning algorithms. The module receives user-input viewing content information and video stream data, including but not limited to film title, genre, director, actors, and video stream data. It then uses deep learning algorithms to perform sentiment analysis and atmosphere analysis on the content, identifying its theme, emotional tone, and key scene timeframe data.

[0090] 3. Based on the recognition results, the AI-generated module generates rendering modes adapted to the film's atmosphere for the central control screen, instrument panel screen, auxiliary screens, rear screens, ceiling-mounted screens, and exterior headlights. Based on the analysis results, the AI-generated module designs and generates visual effects matching the content theme, including color schemes, dynamic patterns, and transition effects. It also personalizes other screens in the cabin, adjusting the displayed content according to the characteristics of the film. Furthermore, it controls the cabin's lighting system according to the plan, adjusting the color and brightness of the lights based on the atmosphere rendering mode to create an immersive viewing environment. For example, in a lightning and thunder scene, the exterior headlights and interior lighting system simulate lightning effects, flashing rapidly; in a horror scene, the color and brightness of the lights change to create a tense atmosphere.

[0091] 4. The AI ​​sound effects control module intelligently adjusts the sound system settings based on the film's audio characteristics, synchronizing with the lighting rendering mode to enhance the viewing experience. It monitors key scene changes in real time, such as battles, chases, and romance, and dynamically adjusts the sound system to enhance the urgency or emotional depth of the scene. Utilizing multi-channel surround sound technology, it simulates the propagation of sound in three-dimensional space, providing a more immersive and realistic auditory experience. Based on the user's seating position and the cabin's acoustic characteristics, it performs sound localization and balance adjustments to ensure optimal listening for every seat.

[0092] 5. The user feedback module monitors the user's physiological reactions and operational behaviors through sensors, collects feedback data in real time, and dynamically adjusts the atmosphere rendering mode based on the feedback. Sensors are deployed to monitor the user's physiological data, such as heart rate, respiratory rate, and skin conductance, to assess the user's emotional state and stress level. Cameras or motion tracking technology are used to capture the user's behavioral data, including head and body position, posture changes, and hand gestures. Facial expression recognition technology analyzes the user's micro-expressions to obtain the user's satisfaction with the current atmosphere and emotional feedback. A voice recognition system is integrated to analyze the user's voice commands and tone changes to identify the user's intentions and emotions. The collected physiological and behavioral data are input into the AI ​​algorithm to analyze the user's viewing experience in real time and adjust the atmosphere rendering mode based on the analysis results.

[0093] Through the above-described embodiments, this application can utilize artificial intelligence technology to achieve synchronized atmosphere rendering of multiple screens and lighting systems within the car cabin with the viewing content, providing users with a personalized and immersive viewing experience.

[0094] The preferred embodiments of this application have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of this application without inventive effort. Therefore, any technical solution that can be obtained by those skilled in the art based on the concept of this application through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A method for creating a car cabin movie-watching atmosphere based on artificial intelligence, the method being executed by a computer device, comprising: The AI ​​content recognition and analysis module automatically analyzes the movie content selected by the user to obtain the content recognition result of the movie content. The content recognition result is used to indicate the movie type, scene and emotional tone of the movie content. Based on the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the car cabin. The atmosphere rendering modes include one or more of the following: simulated flashing lights in a thunderstorm scene, ambient lighting changes in a horror scene, and soft lighting adjustments in a romantic scene. The AI ​​sound effect control module adjusts the sound effects of the sound system according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode; The user feedback module collects user feedback data in real time and dynamically adjusts the atmosphere rendering mode based on the feedback data.

2. The method for creating a car cabin movie-watching atmosphere based on artificial intelligence according to claim 1, wherein, The process of automatically analyzing the user-selected viewing content through the AI ​​content recognition and analysis module to obtain the content recognition result of the viewing content includes: Receive the movie content information and video stream data input by the user, wherein the movie content information includes movie name, genre, director, and actors; Deep learning algorithms are used to perform sentiment analysis and atmosphere analysis on the viewing content information and the video stream data to obtain the content analysis results. The content analysis results include sentiment analysis results and atmosphere analysis results. The sentiment analysis is used to identify the emotional tone of the viewing content, and the atmosphere analysis is used to identify the theme of the viewing content and the time frame data of key scenes in the viewing content.

3. The method for creating a car cabin movie-watching atmosphere based on artificial intelligence according to claim 1, wherein, The AI-generated module generates corresponding ambient rendering modes for all screens and lighting systems in the car cabin based on the content recognition results, including: Based on the content analysis results, the AI ​​generative module generates visual effects that match the theme of the viewing content. These visual effects are used to indicate the atmosphere rendering mode and include color schemes, dynamic patterns, and transition effects. Based on the visual effect, the other screens in the car cabin are configured to obtain the display content of the other screens; The system controls the lighting system in the vehicle cabin according to the visual effect, and adjusts the color and brightness of the lights according to the color scheme.

4. The method for creating a car cabin movie-watching atmosphere based on artificial intelligence according to claim 1, wherein, The AI ​​sound effect control module adjusts the sound effects of the sound system according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode, including: Real-time monitoring of key scene changes in the film, and preliminary adjustment of the sound effects of the sound system based on the key scene changes, the key scene changes including at least one of the following: battle changes, chase changes, and romance changes; The sound effects of the audio system are readjusted using multi-channel surround sound technology, which is used to simulate the propagation of sound in three-dimensional space to obtain a stereo and realistic auditory experience. Based on the user's seating position and the acoustic characteristics of the car cabin, the sound effect of the audio system is adjusted for sound localization and balance to ensure that each seat can obtain the best listening effect.

5. The method for creating a car cabin movie-watching atmosphere based on artificial intelligence according to claim 1, wherein, The step of collecting user feedback data in real time through the user feedback module and dynamically adjusting the atmosphere rendering mode based on the feedback data includes: The user's physiological data, including heart rate, respiratory rate, and skin conductance, is monitored by sensors and used to assess the user's emotional state and stress level. The user's behavioral data is captured using a camera or motion tracking technology. The behavioral data includes the user's head position, body position, posture changes, and hand gestures. Facial expression recognition technology is used to analyze the user's micro-expressions, which are used to indicate the user's level of satisfaction with the current atmosphere and emotional feedback. By integrating a speech recognition system, the tone changes in the user's voice commands are analyzed, and these tone changes are used to indicate the user's intentions and emotions. The collected physiological data, behavioral data, micro-expressions, and tone changes are input into an AI algorithm. The AI ​​algorithm analyzes the user's viewing experience in real time and dynamically adjusts the atmosphere rendering mode based on the analysis results.

6. An in-vehicle infotainment system for creating a cinematic atmosphere in a car cabin based on artificial intelligence, comprising: The AI ​​content recognition and analysis module is used to automatically analyze and recognize the viewing content, and obtain the content recognition result of the viewing content. The content recognition result is used to indicate the film type, scene, and emotional tone of the viewing content. The AI-generated module is used to generate corresponding atmosphere rendering modes for all screens and lighting systems in the car cabin based on the content recognition results. The atmosphere rendering modes include one or more of the following: simulated flashing lights in a thunderstorm scene, ambient lighting changes in a horror scene, and soft lighting adjustments in a romantic scene. The AI ​​sound effect control module is used to adjust the sound effects of the sound system according to the film type and scene, and the sound effects are synchronized with the atmosphere rendering mode; The user feedback module is used to collect user feedback data in real time and dynamically adjust the atmosphere rendering mode based on the feedback data.

7. The artificial intelligence-based car cabin movie-watching atmosphere creation system according to claim 6, wherein, The AI ​​content recognition and analysis module is used for: Receive the movie content information and video stream data input by the user, wherein the movie content information includes movie name, genre, director, and actors; Deep learning algorithms are used to perform sentiment analysis and atmosphere analysis on the viewing content information and the video stream data to obtain the content analysis results. The content analysis results include sentiment analysis results and atmosphere analysis results. The sentiment analysis is used to identify the emotional tone of the viewing content, and the atmosphere analysis is used to identify the theme of the viewing content and the time frame data of key scenes in the viewing content.

8. The artificial intelligence-based car cabin movie-watching atmosphere creation system according to claim 6, wherein, The AI ​​generative module is used for: Based on the content analysis results, the AI ​​generative module generates visual effects that match the theme of the viewing content. These visual effects are used to indicate the atmosphere rendering mode and include color schemes, dynamic patterns, and transition effects. Based on the visual effect, the other screens in the car cabin are configured to obtain the display content of the other screens; The system controls the lighting system in the vehicle cabin according to the visual effect, and adjusts the color and brightness of the lights according to the color scheme.

9. The artificial intelligence-based car cabin movie-watching atmosphere creation system according to claim 6, wherein, The AI ​​sound effect control module is used for: Real-time monitoring of key scene changes in the film, and preliminary adjustment of the sound effects of the sound system based on the key scene changes, the key scene changes including at least one of the following: battle changes, chase changes, and romance changes; The sound effects of the audio system are readjusted using multi-channel surround sound technology, which is used to simulate the propagation of sound in three-dimensional space to obtain a stereo and realistic auditory experience. Based on the user's seating position and the acoustic characteristics of the car cabin, the sound effect of the audio system is adjusted for sound localization and balance to ensure that each seat can obtain the best listening effect.

10. The artificial intelligence-based car cabin movie-watching atmosphere creation system according to claim 6, wherein, The user feedback module is used for: The user's physiological data, including heart rate, respiratory rate, and skin conductance, is monitored by sensors and used to assess the user's emotional state and stress level. The user's behavioral data is captured using a camera or motion tracking technology. The behavioral data includes the user's head position, body position, posture changes, and hand gestures. Facial expression recognition technology is used to analyze the user's micro-expressions, which are used to indicate the user's level of satisfaction with the current atmosphere and emotional feedback. By integrating a speech recognition system, the tone changes in the user's voice commands are analyzed, and these tone changes are used to indicate the user's intentions and emotions. The collected physiological data, behavioral data, micro-expressions, and tone changes are input into an AI algorithm. The AI ​​algorithm analyzes the user's viewing experience in real time and dynamically adjusts the atmosphere rendering mode based on the analysis results.