Automobile cabin film watching atmosphere creating method and system based on artificial intelligence

Abstract

The invention relates to an automobile cabin film watching atmosphere creating method and system based on artificial intelligence. The method comprises the steps that an AI content recognition and analysis module is used for automatically analyzing film watching content selected by a user; according to the content recognition result, the AI generation type module generates corresponding atmosphere rendering modes for all screens and lighting systems in the cabin, and the atmosphere rendering modes include but are not limited to lighting flicker simulation in a lightning flash and thunder scene, atmosphere lighting change in a terrorist scene and soft lighting adjustment in a romantic scene; the AI sound effect control module intelligently adjusts sound effects according to film types and scenes, is synchronous with an atmosphere rendering mode and provides immersive auditory experience; the user feedback module collects physiological and behavior data of a user in real time and dynamically adjusts an atmosphere rendering mode. According to the invention, an artificial intelligence technology can be utilized to realize atmosphere rendering of synchronization between multiple screens and a lighting system in an automobile cabin and film watching content, and personalized and immersive film watching experience is provided for users.

Description

Technical Field

[0001] The present invention relates to the field of intelligent vehicle technology, and in particular to a method and system for creating a movie-watching atmosphere in a car cabin based on artificial intelligence. Background Art

[0002] With the development of automobile technology, modern car cockpits are equipped with a variety of screens and lighting systems, such as central control screens, instrument screens, additional screens, rear screens, ceiling screens, interior ambient lights, exterior headlights, etc. However, these devices usually work independently and lack the ability to render atmosphere in sync with the viewing content. Summary of the invention

[0003] In view of the above-mentioned defects of the prior art, the present invention proposes a method and system for creating a car cockpit movie-watching atmosphere based on artificial intelligence to solve the problems described in the background technology.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] The method for creating a car cockpit movie-watching atmosphere based on artificial intelligence includes:

[0006] Use AI content recognition and analysis modules to automatically analyze the movie content selected by the user, including but not limited to the movie type, scene, and emotional tone;

[0007] Based on the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the cockpit. The atmosphere rendering modes include but are not limited to: light flashing simulation in thunder and lightning scenes, atmosphere lighting changes in horror scenes, and soft lighting adjustments in romantic scenes.

[0008] The AI ​​sound effect control module intelligently adjusts the sound effects according to the film type and scene, and synchronizes with the atmosphere rendering mode to provide an immersive auditory experience;

[0009] The user feedback module collects the user's physiological and behavioral data in real time and dynamically adjusts the atmosphere rendering mode.

[0010] Furthermore, the use of the AI ​​content recognition and analysis module to automatically analyze the movie content selected by the user is specifically: receiving the movie content information and video stream data input by the user, including but not limited to the movie name, type, director, actors and video stream data, and then using a deep learning algorithm to perform sentiment analysis and atmosphere analysis on the content to identify its theme, emotional tone and time frame data of key scenes.

[0011] Furthermore, according to the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the cockpit, specifically:

[0012] Based on the analysis results, the AI ​​generative module designs and generates visual effects that match the content theme, including color schemes, dynamic patterns, and transition effects;

[0013] Personalize other screens in the cabin and adjust the screen content according to the characteristics of the movie content;

[0014] Control the lighting system in the cabin according to the plan, adjust the color and brightness of the light according to the atmosphere rendering mode, and create an immersive viewing environment.

[0015] Furthermore, the sound effects are intelligently adjusted according to the film type and scene, and synchronized with the atmosphere rendering mode to provide an immersive auditory experience, specifically:

[0016] Monitor key scene changes in the film in real time, including at least fighting, chasing, and romance, and dynamically adjust the sound system;

[0017] Utilize multi-channel surround sound technology to simulate the propagation of sound in three-dimensional space, providing a more three-dimensional and realistic auditory experience;

[0018] Sound positioning and balance are adjusted according to the user's seat position and the acoustic characteristics of the cabin to ensure that every seat can obtain the best hearing effect.

[0019] Furthermore, the user feedback module collects the user's physiological and behavioral data in real time and dynamically adjusts the atmosphere rendering mode, specifically:

[0020] Deploy sensors to monitor the user's physiological data, including heart rate, breathing rate, skin conductance, and assess the user's emotional state and stress level;

[0021] Use cameras or motion tracking technology to capture user behavior data, including head and body position, posture changes, and gestures;

[0022] Through facial expression recognition technology, analyze users' micro-expressions to obtain users' satisfaction with the current atmosphere and emotional feedback;

[0023] Integrated voice recognition system to analyze user voice commands and intonation changes, and identify user intentions and emotions;

[0024] 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.

[0025] The present invention also proposes an artificial intelligence-based vehicle cabin viewing atmosphere creation vehicle system, comprising:

[0026] AI content recognition and analysis module, used to automatically analyze and identify movie content;

[0027] AI Generative Module, which generates ambient rendering patterns for all screens and lighting systems in the cabin;

[0028] AI sound effect control module, used to intelligently adjust the sound effects;

[0029] User feedback module, used to collect user feedback and dynamically optimize viewing settings;

[0030] Furthermore, the AI ​​content recognition and analysis module is used to automatically analyze and identify movie content, specifically: receiving movie content information and video stream data input by the user, including but not limited to the movie name, type, director, actors and video stream data, and then using a deep learning algorithm to perform sentiment analysis and atmosphere analysis on the content to identify its theme, emotional tone and time frame data of key scenes.

[0031] Furthermore, the AI ​​generative module is used to generate an atmosphere rendering mode for all screens and lighting systems in the cockpit, specifically:

[0032] Based on the analysis results, the AI ​​generative module designs and generates visual effects that match the content theme, including color schemes, dynamic patterns, and transition effects;

[0033] Personalize other screens in the cabin and adjust the screen content according to the characteristics of the movie content;

[0034] Control the lighting system in the cabin according to the plan, adjust the color and brightness of the light according to the atmosphere rendering mode, and create an immersive viewing environment.

[0035] Furthermore, the AI ​​sound effect control module is used to intelligently adjust the sound effect, specifically:

[0036] Monitor key scene changes in the film in real time, including at least battle, chase, and romance, and dynamically adjust the sound system to enhance the urgency or emotional depth of the scene;

[0037] Utilize multi-channel surround sound technology to simulate the propagation of sound in three-dimensional space, providing a more three-dimensional and realistic auditory experience;

[0038] Sound positioning and balance are adjusted according to the user's seat position and the acoustic characteristics of the cabin to ensure that every seat can obtain the best hearing effect.

[0039] Furthermore, the user feedback module is used to collect user feedback and dynamically optimize the viewing settings, specifically:

[0040] Deploy sensors to monitor the user's physiological data, including heart rate, breathing rate, and skin conductance, to assess the user's emotional state and stress level;

[0041] Use cameras or motion tracking technology to capture user behavior data, including head and body position, posture changes, and gestures;

[0042] Through facial expression recognition technology, analyze users' micro-expressions to obtain users' satisfaction and emotional feedback on the current atmosphere;

[0043] Integrated speech recognition system to analyze user voice commands and intonation changes to identify user intent and emotions;

[0044] 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.

[0045] The present invention has the following technical effects:

[0046] The present invention can utilize artificial intelligence technology to achieve atmosphere rendering in which multiple screens and lighting systems in a car cabin are synchronized with the viewing content, providing users with a personalized and immersive viewing experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0048] Figure 1 The figure is a flow chart of the method of the present invention.

[0049] Figure 2 This is a principle block diagram of the AI ​​content recognition and analysis module of the present invention.

[0050] Figure 3 This is a principle block diagram of the AI ​​generation module of the present invention.

[0051] Figure 4 This is a functional block diagram of the AI ​​sound effect control module of the present invention.

[0052] Figure 5 It is a functional block diagram of the user feedback module of the present invention. DETAILED DESCRIPTION

[0053] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0054] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0055] Example 1

[0056] like Figure 1-5 As shown, the present invention proposes a method for creating a car cockpit movie-watching atmosphere based on artificial intelligence, comprising:

[0057] Use AI content recognition and analysis modules to automatically analyze the movie content selected by the user, including but not limited to the movie type, scene, and emotional tone;

[0058] Based on the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the cockpit. The atmosphere rendering modes include but are not limited to: light flashing simulation in thunder and lightning scenes, atmosphere lighting changes in horror scenes, and soft lighting adjustments in romantic scenes.

[0059] The AI ​​sound effect control module intelligently adjusts the sound effects according to the film type and scene, and synchronizes with the atmosphere rendering mode to provide an immersive auditory experience;

[0060] The user feedback module collects the user's physiological and behavioral data in real time and dynamically adjusts the atmosphere rendering mode.

[0061] In this embodiment, the use of the AI ​​content recognition and analysis module to automatically analyze the movie content selected by the user is specifically: receiving the movie content information and video stream data input by the user, including but not limited to the movie name, type, director, actors and video stream data, and then using a deep learning algorithm to perform sentiment analysis and atmosphere analysis on the content to identify its theme, emotional tone and time frame data of key scenes.

[0062] In this embodiment, according to the content recognition result, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the cockpit, specifically:

[0063] Based on the analysis results, the AI ​​generative module designs and generates visual effects that match the content theme, including color schemes, dynamic patterns, and transition effects;

[0064] Personalize other screens in the cabin and adjust the screen content according to the characteristics of the movie content;

[0065] Control the lighting system in the cabin according to the plan, adjust the color and brightness of the light according to the atmosphere rendering mode, and create an immersive viewing environment.

[0066] In this embodiment, the sound effects are intelligently adjusted according to the film type and scene, and synchronized with the atmosphere rendering mode to provide an immersive auditory experience, specifically:

[0067] Monitor key scene changes in the film in real time, including at least fighting, chasing, and romance, and dynamically adjust the sound system;

[0068] Utilize multi-channel surround sound technology to simulate the propagation of sound in three-dimensional space, providing a more three-dimensional and realistic auditory experience;

[0069] Sound positioning and balance are adjusted according to the user's seat position and the acoustic characteristics of the cabin to ensure that every seat can obtain the best hearing effect.

[0070] In this embodiment, the user feedback module collects the user's physiological and behavioral data in real time and dynamically adjusts the atmosphere rendering mode, specifically:

[0071] Deploy sensors to monitor the user's physiological data, including heart rate, breathing rate, skin conductance, and assess the user's emotional state and stress level;

[0072] Use cameras or motion tracking technology to capture user behavior data, including head and body position, posture changes, and gestures;

[0073] Through facial expression recognition technology, analyze users' micro-expressions to obtain users' satisfaction with the current atmosphere and emotional feedback;

[0074] Integrated voice recognition system to analyze user voice commands and intonation changes, and identify user intentions and emotions;

[0075] 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.

[0076] Example 2

[0077] like Figure 1-5 As shown, the present invention also proposes a vehicle system for creating a movie-watching atmosphere in a vehicle cabin based on artificial intelligence, comprising:

[0078] AI content recognition and analysis module, used to automatically analyze and identify movie content;

[0079] AI Generative Module, which generates ambient rendering patterns for all screens and lighting systems in the cabin;

[0080] AI sound effect control module, used to intelligently adjust the sound effects;

[0081] User feedback module, used to collect user feedback and dynamically optimize viewing settings;

[0082] In this embodiment, the AI ​​content recognition and analysis module is used to automatically analyze and identify movie content, specifically: receiving movie content information and video stream data input by the user, including but not limited to the movie name, type, director, actors and video stream data, and then using a deep learning algorithm to perform sentiment analysis and atmosphere analysis on the content to identify its theme, emotional tone and time frame data of key scenes.

[0083] In this embodiment, the AI ​​generative module is used to generate an atmosphere rendering mode for all screens and lighting systems in the cockpit, specifically:

[0084] Based on the analysis results, the AI ​​generative module designs and generates visual effects that match the content theme, including color schemes, dynamic patterns, and transition effects;

[0085] Personalize other screens in the cabin and adjust the screen content according to the characteristics of the movie content;

[0086] Control the lighting system in the cabin according to the plan, adjust the color and brightness of the light according to the atmosphere rendering mode, and create an immersive viewing environment.

[0087] In this embodiment, the AI ​​sound effect control module is used to intelligently adjust the sound effect, specifically:

[0088] Monitor key scene changes in the film in real time, including at least battle, chase, and romance, and dynamically adjust the sound system to enhance the urgency or emotional depth of the scene;

[0089] Utilize multi-channel surround sound technology to simulate the propagation of sound in three-dimensional space, providing a more three-dimensional and realistic auditory experience;

[0090] Sound positioning and balance are adjusted according to the user's seat position and the acoustic characteristics of the cabin to ensure that every seat can obtain the best hearing effect.

[0091] In this embodiment, the user feedback module is used to collect user feedback and dynamically optimize the viewing settings, specifically:

[0092] Deploy sensors to monitor the user's physiological data, including heart rate, breathing rate, and skin conductance, to assess the user's emotional state and stress level;

[0093] Use cameras or motion tracking technology to capture user behavior data, including head and body position, posture changes, and gestures;

[0094] Through facial expression recognition technology, analyze users' micro-expressions to obtain users' satisfaction and emotional feedback on the current atmosphere;

[0095] Integrated speech recognition system to analyze user voice commands and intonation changes to identify user intent and emotions;

[0096] 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.

[0097] Example 3

[0098] The specific implementation process of the present invention includes the following process:

[0099] 1. The user selects the movie they want to watch through the vehicle's central control system.

[0100] 2. The AI ​​content recognition and analysis module receives the film information and uses deep learning algorithms to analyze the film's features. The module receives the movie content information and video stream data input by the user, including but not limited to the movie name, type, director, actors, and video stream data. Then, it uses deep learning algorithms to perform sentiment analysis and atmosphere analysis on the content, identifying its theme, emotional tone, and time frame data of key scenes.

[0101] 3. The AI ​​generative module generates rendering modes that adapt to the atmosphere of the film for the central control screen, instrument screen, additional screen, rear screen, ceiling screen and external headlights based on the recognition results. Based on the analysis results, the AI ​​generative module designs and generates visual effects that match the content theme, including color schemes, dynamic patterns and transition effects. Personalize the other screens in the cockpit and adjust the screen display content according to the characteristics of the viewing content. And control the lighting system in the cockpit according to the plan, adjust the color and brightness of the lights according to the atmosphere rendering mode, and create an immersive viewing environment. For example: in scenes of lightning and thunder, the external headlights and the interior lighting system simulate lightning effects and flash quickly; in horror scenes, the color and brightness of the lights change to create a tense atmosphere.

[0102] 5. The AI ​​sound effect control module intelligently adjusts the settings of the sound system according to the audio characteristics of the film, synchronized with the lighting rendering mode, and enhances the immersive feeling of watching movies. Real-time monitoring of key scene changes in the film, such as fighting, chasing, romance, etc., and dynamically adjusts the sound system to enhance the urgency or emotional depth of the scene. Using multi-channel surround sound technology, simulate the propagation of sound in three-dimensional space to provide a more three-dimensional and realistic auditory experience. According to the user's seat position and the acoustic characteristics of the cockpit, sound positioning and balance adjustments are made to ensure that every seat can get the best auditory effect.

[0103] 6. 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. Deploy sensors to monitor the user's physiological data, such as heart rate, breathing rate, skin conductance, etc., to assess the user's emotional state and stress level. Use cameras or motion tracking technology to capture user behavior data, including head and body position, posture changes, and gestures. Analyze the user's micro-expressions through facial expression recognition technology to obtain the user's satisfaction and emotional feedback on the current atmosphere. Integrate a voice recognition system to analyze the user's voice commands and tone changes to identify the user's intentions and emotions. Input the collected physiological and behavioral data 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.

[0104] Through the above-mentioned implementation mode, the present invention can utilize artificial intelligence technology to realize the atmosphere rendering of multiple screens and lighting systems in the car cabin in synchronization with the viewing content, providing users with a personalized and immersive viewing experience.

[0105] The preferred specific embodiments of the present invention are described in detail above. It should be understood that ordinary technicians in the field can make many modifications and changes based on the concept of the present invention without creative work. Therefore, all technical solutions that can be obtained by technicians in the technical field based on the concept of the present invention through logical analysis, reasoning or limited experiments on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A method for creating a movie-watching atmosphere in a car cabin based on artificial intelligence, characterized in that: include: Use AI content recognition and analysis modules to automatically analyze the movie content selected by users, including movie type, scene, and emotional tone; Based on the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the cabin. The atmosphere rendering modes include: light flashing simulation in thunder and lightning scenes, atmosphere lighting changes in horror scenes, and soft lighting adjustment in romantic scenes. The AI ​​sound effect control module intelligently adjusts the sound effects according to the film type and scene, and synchronizes with the atmosphere rendering mode; The user feedback module collects the user's physiological and behavioral data in real time and dynamically adjusts the atmosphere rendering mode.

2. The method for creating a car cockpit movie-watching atmosphere based on artificial intelligence according to claim 1, characterized in that: The use of the AI ​​content recognition and analysis module to automatically analyze the movie content selected by the user is specifically: receiving the movie content information and video stream data input by the user, including the movie name, type, director, actors and video stream data, and then using a deep learning algorithm to perform sentiment analysis and atmosphere analysis on the content to identify its theme, emotional tone and time frame data of key scenes.

3. The method for creating a movie-watching atmosphere in a car cabin based on artificial intelligence according to claim 1, characterized in that: According to the content recognition results, the AI ​​generative module generates corresponding atmosphere rendering modes for all screens and lighting systems in the cockpit, specifically: Based on the analysis results, the AI ​​generative module designs and generates visual effects that match the content theme, including color schemes, dynamic patterns, and transition effects; Configure other screens in the cabin and adjust the screen display content according to the characteristics of the viewing content; Control the cabin lighting system based on the color scheme, and adjust the color and brightness of the lights according to the mood rendering mode.

4. The method for creating a movie-watching atmosphere in a car cabin based on artificial intelligence according to claim 1, characterized in that: The intelligent adjustment of the sound effects according to the film type and scene is synchronized with the atmosphere rendering mode, specifically: Real-time monitoring of key scene changes in the film, including at least fighting, chasing, and romance, and dynamic adjustment of the sound system; Utilize multi-channel surround sound technology to simulate the propagation of sound in three-dimensional space, providing a more three-dimensional and realistic auditory experience; Sound positioning and balance are adjusted according to the user's seat position and the acoustic characteristics of the cabin to ensure that every seat can obtain the best hearing effect.

5. The method for creating a movie-watching atmosphere in a car cabin based on artificial intelligence according to claim 1, characterized in that: The user feedback module collects the user's physiological and behavioral data in real time and dynamically adjusts the atmosphere rendering mode, specifically: Deploy sensors to monitor the user's physiological data, including heart rate, breathing rate, skin conductance, and assess the user's emotional state and stress level; Use cameras or motion tracking technology to capture user behavior data, including head and body position, posture changes, and gestures; Through facial expression recognition technology, analyze users' micro-expressions to obtain users' satisfaction with the current atmosphere and emotional feedback; Integrated voice recognition system to analyze user voice commands and intonation changes, and identify user 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.

6. The car cockpit viewing atmosphere creation system based on artificial intelligence is characterized by: include: AI content recognition and analysis module, used to automatically analyze and identify movie content; AI Generative Module, which generates ambient rendering patterns for all screens and lighting systems in the cabin; AI sound effect control module, used to intelligently adjust the sound effects; User feedback module, used to collect user feedback and dynamically optimize viewing settings.

7. The artificial intelligence-based car cockpit movie-watching atmosphere creation system according to claim 6 is characterized in that: The AI ​​content recognition and analysis module is used to automatically analyze and identify movie content. Specifically, it receives movie content information and video stream data input by users, including movie names, types, directors, actors, and video stream data, and then uses deep learning algorithms to perform sentiment analysis and atmosphere analysis on the content to identify its theme, emotional tone, and time frame data of key scenes.

8. The artificial intelligence-based car cockpit movie-watching atmosphere creation system according to claim 6 is characterized in that: The AI ​​generative module is used to generate an atmosphere rendering mode for all screens and lighting systems in the cockpit, specifically: Based on the analysis results, the AI ​​generative module designs and generates visual effects that match the content theme, including color schemes, dynamic patterns, and transition effects; Personalize other screens in the cabin and adjust the screen content according to the characteristics of the movie content; Control the lighting system in the cabin according to the plan, adjust the color and brightness of the light according to the atmosphere rendering mode, and create an immersive viewing environment.

9. The artificial intelligence-based car cockpit movie-watching atmosphere creation system according to claim 6, characterized in that: The AI ​​sound effect control module is used to intelligently adjust the sound effect, specifically: Monitor key scene changes in the film in real time, including at least battle, chase, and romance, and dynamically adjust the sound system to enhance the urgency or emotional depth of the scene; Utilize multi-channel surround sound technology to simulate the propagation of sound in three-dimensional space, providing a more three-dimensional and realistic auditory experience; Sound positioning and balance are adjusted according to the user's seat position and the acoustic characteristics of the cabin to ensure that every seat can obtain the best hearing effect.

10. The artificial intelligence-based car cockpit movie-watching atmosphere creation system according to claim 6, characterized in that: The user feedback module is used to collect user feedback and dynamically optimize the viewing settings, specifically: Deploy sensors to monitor the user's physiological data, including heart rate, breathing rate, and skin conductance, to assess the user's emotional state and stress level; Use cameras or motion tracking technology to capture user behavior data, including head and body position, posture changes, and gestures; Through facial expression recognition technology, analyze users' micro-expressions to obtain users' satisfaction and emotional feedback on the current atmosphere; Integrated speech recognition system to analyze user voice commands and intonation changes to identify user intent 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.

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