Intelligent AI projection distance detection and correction system

Through the high-resolution camera and distance measuring sensor combined with signal module, intelligent AI projection distance detection and correction is performed using image recognition and triangulation method, solving the problem of user manual adjustment, realizing automatic correction, improving projection effect and system intelligence .

CN119277033AInactive Publication Date: 2025-01-07SHENZHEN XINGYIMEI TECH CO LTD
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Patent Information

Application Number
CN202411504675.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-26
Publication Date
2025-01-07
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

When using an intelligent AI projection distance detection and correction system, it is usually necessary for the user to manually adjust the projector position or use a preset fixed algorithm for rough correction, resulting in the detection and correction process being inaccurate enough.

Method used

Data acquisition is collected using multiple sets of high-resolution cameras and ranging sensors, data transmission is carried out in combination with 3G, 4G, Bluetooth and GPS signal modules, and data calculation is performed using image recognition technology, edge detection, corner detection and triangulation method, through the machine Learn and deep learning optimization correction algorithms to realize automated projection distance detection and correction.

Benefits of technology

Projection distance detection and correction are completed without user intervention, reducing human error, improving the clarity and accuracy of the projected image, improving the automation and intelligence level of the system, and storing backup data in the cloud to improve the system response speed and processing efficiency.

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Abstract

The invention relates to the technical field of AI projection distance detection and correction systems, in particular to an intelligent AI projection distance detection and correction system, and solves the problems that when the intelligent AI projection distance detection and correction system is used and projection distance detection and correction are carried out, a user possibly needs to manually adjust the position or parameters of a projector, and the operation is inconvenient. Or rough correction is carried out through a preset fixed algorithm. The system comprises a data calculation module and a correction control module, and compared with a traditional intelligent AI projection distance detection and correction system, when projection distance detection and correction are carried out, a user possibly needs to manually adjust the position or parameters of a projector, rough correction is carried out through a preset fixed algorithm, and the correction efficiency is greatly improved. According to the intelligent AI projection distance detection and correction system, the data calculation module and the correction control module are integrated, and through linkage of the data calculation module and the correction control module, the system can autonomously complete the detection and correction process of the projection distance.
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Description

Technical Field

[0001] The present invention relates to the technical field of AI projection distance detection and correction systems, and in particular to an intelligent AI projection distance detection and correction system. Background Art

[0002] The intelligent AI projection distance detection and correction system is a projection equipment auxiliary system that integrates artificial intelligence technology. Its main function is to automatically detect the distance between the projection equipment and the projection surface, and automatically correct the size, shape and position of the projection image based on this distance information to ensure the best projection effect. However, when using the intelligent AI projection distance detection and correction system, a relatively simple architecture is usually adopted, resulting in the user being required to manually adjust the position or parameters of the projector, or to perform a rough correction through a preset fixed algorithm when performing projection distance detection and correction. Summary of the invention

[0003] In order to overcome the problem that a simpler architecture is usually adopted when using an intelligent AI projection distance detection and correction system, the user may be required to manually adjust the position or parameters of the projector, or perform rough corrections through a preset fixed algorithm when performing projection distance detection and correction.

[0004] The technical solution of the present invention is: an intelligent AI projection distance detection and correction system, comprising:

[0005] Data acquisition module: used to collect image data of the detection area;

[0006] Data transmission module: used to transmit the image data collected by the data acquisition module;

[0007] Data preprocessing module: used to preprocess the original data transmitted by the data transmission module;

[0008] Data calculation module: used for calculation and analysis based on the data preprocessed by the data preprocessing module;

[0009] Correction control module: used to correct the calculated image data according to the built-in algorithm and send instructions to the device;

[0010] Data storage module: used to store and back up the data generated by the system;

[0011] Interaction module: used to connect the interaction between users and the system.

[0012] Furthermore, the data acquisition module includes multiple groups of high-resolution cameras and ranging sensors. The high-resolution cameras are responsible for capturing images or video data of the projection area and can capture sufficient details for subsequent processing and analysis. The ranging sensors are used to detect the projection distance.

[0013] Furthermore, the data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module and a GPS signal module. The data transmission module makes an intelligent judgment on the signal strength, uses the 3G information transmission module, the 4G signal transmission module, the Bluetooth transmission module and the GPS signal module to establish a stable signal transmission chain, and transmits the data collected by the data acquisition module to the data preprocessing module.

[0014] Furthermore, the data preprocessing module is used to preprocess and analyze the collected images, including denoising, contrast enhancement, and edge detection steps. Through image processing technology, key features in the image can be extracted, including the projection boundary, shape and size of the projection content.

[0015] Furthermore, the data calculation module is used to calculate the actual distance between the projection device and the projection surface based on the information provided by the data preprocessing module using specific algorithms, including triangulation and stereo vision technology, and to ensure the accuracy and reliability of the calculation results through complex mathematical calculations and model fitting.

[0016] Furthermore, the data calculation module applies the following data calculation method when working:

[0017] S11: using image recognition technology, including edge detection and corner detection, to identify specific feature points in the projected image;

[0018] S12: Compare the coordinates of the feature points in the projected image with the coordinates of the corresponding points in the original image or the standard image;

[0019] S13: Analyzing the geometric distortion of the projected image according to the coordinate difference, including horizontal deviation, vertical deviation, and scaling ratio;

[0020] S14: Based on the distortion analysis results, the required geometric transformation parameters are calculated, including the rotation angle, translation vector and scaling factor.

[0021] Furthermore, after obtaining the accurate projection distance, the correction control module is used to adjust the focal length and inclination parameters of the projection device according to preset standards or user-set parameters to achieve accurate correction of the projection image, and use machine learning and deep learning methods to analyze and learn the collected data, continuously optimize the projection distance detection and correction algorithm based on historical data and real-time feedback, and improve the system's adaptability and accuracy.

[0022] Preferably, the data calculation module adopts advanced algorithms and models, which can accurately calculate the key parameters of projection distance and projection angle, reduce the influence of human errors and interference factors, and based on the precise calculation results, the correction control module can accurately adjust the projection parameters of the projector to ensure that the projection picture is square, clear and accurate, thereby improving the overall projection effect, thereby ensuring the clarity and accuracy of the projection picture, and improving the degree of automation and intelligence of the system.

[0023] Furthermore, the data storage module includes an information resource management submodule and a cloud storage terminal, which integrates the image data collected by the data acquisition module and the data calculated and corrected by the system, manages and stores the integrated data, and stores and backs up the image data collected by the data acquisition module and the data calculated and corrected by the system to the cloud.

[0024] Furthermore, when the data storage module backs up and stores the data, the following backup storage method is applied:

[0025] A21: Create a master document based on the corresponding date on the cloud platform;

[0026] A22: Create classification sub-documents in the main document according to the classification information;

[0027] A23: compress and encrypt the image data collected by the data acquisition module and the data calculated and corrected by the system for backup;

[0028] A24: The image data collected by the data acquisition module and the data calculated and corrected by the system are placed into a sub-document.

[0029] Preferably, the data storage module facilitates permanent storage of various data required by the system, and can effectively back up the image data collected by the data acquisition module and the data calculated and corrected by the system. The data storage module can effectively improve the response speed and processing efficiency of the system.

[0030] Furthermore, the interactive module is responsible for displaying the system status information, projection effect preview, and calibration results. At the same time, it also allows the user to input control instructions and adjust system parameters.

[0031] Beneficial effects of the present invention:

[0032] 1. Compared with the traditional intelligent AI projection distance detection and correction system, which usually adopts a simpler architecture, the user may need to manually adjust the position or parameters of the projector, or perform a rough correction through a preset fixed algorithm when performing projection distance detection and correction. The intelligent AI projection distance detection and correction system integrates a data calculation module and a correction control module. Through the linkage of the data calculation module and the correction control module, the system can autonomously complete the detection and correction process of the projection distance without user intervention;

[0033] 2. The data calculation module uses advanced algorithms and models to accurately calculate the key parameters of projection distance and projection angle, reducing the impact of human errors and interference factors. Based on the precise calculation results, the correction control module can accurately adjust the projection parameters of the projector to ensure that the projection picture is square, clear and accurate, thereby improving the overall projection effect, thereby ensuring the clarity and accuracy of the projection picture, and improving the automation and intelligence level of the system;

[0034] 3. The data storage module facilitates the permanent storage of various data required by the system, and can effectively back up the image data collected by the data acquisition module and the data calculated and corrected by the system. The data storage module can effectively improve the response speed and processing efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 What is shown is a schematic diagram of the working process of an intelligent AI projection distance detection and correction system of the present invention;

[0036] Figure 2 What is shown is a schematic diagram of the working process of a data acquisition module of an intelligent AI projection distance detection and correction system of the present invention;

[0037] Figure 3 Shown is a schematic diagram of the working process of a data calculation module of an intelligent AI projection distance detection and correction system of the present invention;

[0038] Figure 4 What is shown is a schematic diagram of the working process of the data storage module of an intelligent AI projection distance detection and correction system of the present invention. DETAILED DESCRIPTION

[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] See also Figure 1-4 The present invention provides an embodiment: an intelligent AI projection distance detection and correction system, comprising:

[0041] Data acquisition module: used to collect image data of the detection area;

[0042] Data transmission module: used to transmit the image data collected by the data acquisition module;

[0043] Data preprocessing module: used to preprocess the original data transmitted by the data transmission module;

[0044] Data calculation module: used for calculation and analysis based on the data preprocessed by the data preprocessing module;

[0045] Correction control module: used to correct the calculated image data according to the built-in algorithm and send instructions to the device;

[0046] Data storage module: used to store and back up the data generated by the system;

[0047] Interaction module: used to connect the interaction between users and the system.

[0048] Furthermore, the data acquisition module includes multiple groups of high-resolution cameras and ranging sensors. The high-resolution cameras are responsible for capturing images or video data of the projection area and can capture sufficient details for subsequent processing and analysis. The ranging sensors are used to detect the projection distance.

[0049] Furthermore, the data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module and a GPS signal module. The data transmission module makes an intelligent judgment on the signal strength, uses the 3G information transmission module, the 4G signal transmission module, the Bluetooth transmission module and the GPS signal module to establish a stable signal transmission chain, and transmits the data collected by the data acquisition module to the data preprocessing module.

[0050] Furthermore, the data preprocessing module is used to preprocess and analyze the collected images, including denoising, contrast enhancement, and edge detection steps. Through image processing technology, key features in the image can be extracted, including the projection boundary, shape and size of the projection content.

[0051] Furthermore, the data calculation module is used to calculate the actual distance between the projection device and the projection surface based on the information provided by the data preprocessing module using specific algorithms, including triangulation and stereo vision technology, and to ensure the accuracy and reliability of the calculation results through complex mathematical calculations and model fitting.

[0052] Furthermore, the data calculation module applies the following data calculation method when working:

[0053] S11: using image recognition technology, including edge detection and corner detection, to identify specific feature points in the projected image;

[0054] S12: Compare the coordinates of the feature points in the projected image with the coordinates of the corresponding points in the original image or the standard image;

[0055] S13: Analyzing the geometric distortion of the projected image according to the coordinate difference, including horizontal deviation, vertical deviation, and scaling ratio;

[0056] S14: Based on the distortion analysis results, the required geometric transformation parameters are calculated, including the rotation angle, translation vector and scaling factor.

[0057] Furthermore, after obtaining the accurate projection distance, the correction control module is used to adjust the focal length and inclination parameters of the projection device according to preset standards or user-set parameters to achieve accurate correction of the projection image, and use machine learning and deep learning methods to analyze and learn the collected data, continuously optimize the projection distance detection and correction algorithm based on historical data and real-time feedback, and improve the system's adaptability and accuracy.

[0058] Preferably, the data calculation module adopts advanced algorithms and models, which can accurately calculate the key parameters of projection distance and projection angle, reduce the influence of human errors and interference factors, and based on the precise calculation results, the correction control module can accurately adjust the projection parameters of the projector to ensure that the projection picture is square, clear and accurate, thereby improving the overall projection effect, thereby ensuring the clarity and accuracy of the projection picture, and improving the degree of automation and intelligence of the system.

[0059] Furthermore, the data storage module includes an information resource management submodule and a cloud storage terminal, which integrates the image data collected by the data acquisition module and the data calculated and corrected by the system, manages and stores the integrated data, and stores and backs up the image data collected by the data acquisition module and the data calculated and corrected by the system to the cloud.

[0060] Furthermore, when the data storage module backs up and stores the data, the following backup storage method is applied:

[0061] A21: Create a master document based on the corresponding date on the cloud platform;

[0062] A22: Create classification sub-documents in the main document according to the classification information;

[0063] A23: compress and encrypt the image data collected by the data acquisition module and the data calculated and corrected by the system for backup;

[0064] A24: The image data collected by the data acquisition module and the data calculated and corrected by the system are placed into a sub-document.

[0065] Preferably, the data storage module facilitates permanent storage of various data required by the system, and can effectively back up the image data collected by the data acquisition module and the data calculated and corrected by the system. The data storage module can effectively improve the response speed and processing efficiency of the system.

[0066] Furthermore, the interactive module is responsible for displaying the system status information, projection effect preview, and calibration results. At the same time, it also allows the user to input control instructions and adjust system parameters.

[0067] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. An intelligent AI projection distance detection and correction system, characterized in that: The system comprises: Data acquisition module: used to collect image data of the detection area; Data transmission module: used to transmit the image data collected by the data acquisition module; Data preprocessing module: used to preprocess the original data transmitted by the data transmission module; Data calculation module: used for calculation and analysis based on the data preprocessed by the data preprocessing module; Correction control module: used to correct the calculated image data according to the built-in algorithm and send instructions to the device; Data storage module: used to store and back up the data generated by the system; Interaction module: used to connect the interaction between users and the system.

2. According to claim 1, the intelligent AI projection distance detection and correction system is characterized by: The data acquisition module includes multiple sets of high-resolution cameras and ranging sensors. The high-resolution cameras are responsible for capturing images or video data of the projection area and can capture sufficient details for subsequent processing and analysis. The ranging sensors are used to detect the projection distance.

3. The intelligent AI projection distance detection and correction system according to claim 2, characterized in that: The data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module and a GPS signal module. The data transmission module makes an intelligent judgment on the signal strength, uses the 3G information transmission module, the 4G signal transmission module, the Bluetooth transmission module and the GPS signal module to establish a stable signal transmission chain, and transmits the data collected by the data acquisition module to the data preprocessing module.

4. The intelligent AI projection distance detection and correction system according to claim 3, characterized in that: The data preprocessing module is used to preprocess and analyze the collected images, including denoising, contrast enhancement, and edge detection steps. Through image processing technology, key features in the image can be extracted, including the projection boundary, shape and size of the projection content.

5. The intelligent AI projection distance detection and correction system according to claim 4, characterized in that: The data calculation module is used to calculate the actual distance between the projection device and the projection surface based on the information provided by the data preprocessing module using specific algorithms, including triangulation and stereo vision technology, and to ensure the accuracy and reliability of the calculation results through complex mathematical calculations and model fitting.

6. The intelligent AI projection distance detection and correction system according to claim 5, characterized in that: The data calculation module applies the following data calculation method when working: S11: using image recognition technology, including edge detection and corner detection, to identify specific feature points in the projection image; S12: Compare the coordinates of the feature points in the projected image with the coordinates of the corresponding points in the original image or the standard image; S13: Analyzing the geometric distortion of the projected image according to the coordinate difference, including horizontal deviation, vertical deviation, and scaling ratio; S14: Based on the distortion analysis results, the required geometric transformation parameters are calculated, including the rotation angle, translation vector and scaling factor.

7. The intelligent AI projection distance detection and correction system according to claim 6, characterized in that: After obtaining the accurate projection distance, the correction control module will adjust the focal length and tilt parameters of the projection device according to preset standards or user-set parameters to achieve accurate correction of the projection image. It uses machine learning and deep learning methods to analyze and learn the collected data, and continuously optimizes the projection distance detection and correction algorithm based on historical data and real-time feedback to improve the system's adaptability and accuracy.

8. The intelligent AI projection distance detection and correction system according to claim 7, characterized in that: The data storage module includes an information resource management submodule and a cloud storage terminal. It integrates the image data collected by the data acquisition module and the data calculated and corrected by the system, manages and stores the integrated data, and stores and backs up the image data collected by the data acquisition module and the data calculated and corrected by the system to the cloud.

9. The intelligent AI projection distance detection and correction system according to claim 8, characterized in that: When the data storage module backs up and stores data, the following backup storage method is applied: A21: Create a master document based on the corresponding date on the cloud platform; A22: Create classification sub-documents in the main document according to the classification information; A23: compress and encrypt the image data collected by the data acquisition module and the data calculated and corrected by the system for backup; A24: The image data collected by the data acquisition module and the data calculated and corrected by the system are placed into a sub-document.

10. The intelligent AI projection distance detection and correction system according to claim 9, characterized in that: The interactive module is responsible for displaying the system status information, projection effect preview, and calibration results. It also allows users to input control instructions and adjust system parameters.

Citation Information

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