A shadowless lamp dimming control system

Abstract

The present invention discloses a shadowless lamp dimming control system, which relates to the field of shadowless lamp control. The method comprises: a shadowless lamp dimming module is used to control a dimming mechanism, and receives a user's target view and auxiliary positioning data of the electronic wearable device through an electronic wearable device; an input end of a positioning analysis module is connected to the positioning acquisition module, and view positioning data is determined, and the view positioning data and the auxiliary positioning data are sent to the shadowless lamp dimming module to control the movement of the dimming mechanism. This method solves the technical problem that the shadowless lamp in the prior art cannot meet the fine dimming requirements and affects the lighting effect due to the dimming range and accuracy problems. By intelligently controlling the wide distribution of the shadowless lamp light source and the uniform illumination of light, the shadow area on the surface of the object is significantly reduced, providing a technical effect of a suitable lighting environment.

Description

Technical Field

[0001] The present application relates to the technical field of shadowless lamp control, and in particular to a shadowless lamp dimming control system. Background Art

[0002] Shadowless lamp dimming control is mainly based on the development of modern medical lighting technology, especially the demand for high quality, high stability and shadow-free lighting sources during surgery. In order to meet these requirements, shadowless lamp dimming control technology came into being. By adjusting the brightness, color temperature and other parameters of the light source, a clear, uniform and shadow-free surgical lighting environment is provided. However, the existing shadowless lamp dimming control technology still has certain defects in some aspects. The existing shadowless lamp control cannot meet the fine dimming requirements due to the low dimming range and accuracy.

[0003] To sum up, the shadowless lamp cannot meet the precise dimming requirements due to the problems of dimming range and accuracy, and it is a technical problem that affects the lighting effect. Summary of the invention

[0004] Based on this, it is necessary to provide a shadowless lamp dimming control system that can intelligently control the wide distribution of shadowless lamp light sources and uniform illumination of light, so that the shadow area on the surface of the object is significantly reduced and a suitable lighting environment is provided to address the above technical problems.

[0005] The present application provides a shadowless lamp dimming control system, which includes: a shadowless lamp dimming module, which is communicatively connected to the shadowless lamp dimming control system and is used to control a dimming mechanism; a positioning acquisition module, which receives a user's target view and auxiliary positioning data of the electronic wearable device through an electronic wearable device, wherein the positioning acquisition module is communicatively connected to the shadowless lamp dimming control system, the positioning acquisition module is embedded in the electronic wearable device, and the electronic wearable device is worn by the user; a positioning analysis module, wherein an output end of the positioning analysis module is connected to the shadowless lamp dimming module, and an input end of the positioning analysis module is connected to the positioning acquisition module, wherein the positioning analysis module performs positioning analysis on the target view, determines view positioning data, and sends the view positioning data and the auxiliary positioning data to the shadowless lamp dimming module, and the shadowless lamp dimming module controls the movement of the dimming mechanism according to the view positioning data and the auxiliary positioning data.

[0006] In summary, the shadowless lamp dimming control system provides a high-quality, shadow-free lighting environment for medical surgery by combining precise positioning and dimming technology, intelligent operation methods and efficient feature processing strategies, thereby improving the efficiency and safety of surgery.

[0007] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a structural block diagram of a dimming control system of a shadowless lamp in one embodiment;

[0009] Figure 2 The figure is a flow chart of a dimming control system of a shadowless lamp in one embodiment.

[0010] Description of the accompanying drawings: shadowless lamp dimming module 11, positioning acquisition module 12, positioning analysis module 13. DETAILED DESCRIPTION

[0011] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0012] like Figure 1 As shown, the present application provides a shadowless lamp dimming control system, which performs the following steps: Figure 2 Process, the system comprises:

[0013] A shadowless lamp dimming module 11, wherein the shadowless lamp dimming module 11 is communicatively connected with the shadowless lamp dimming control system, and the shadowless lamp dimming module 11 is used to control the dimming mechanism 14;

[0014] The dimming control of shadowless lamp mainly involves the precise adjustment of the brightness and color temperature of the shadowless lamp to meet the needs of different operations. The dimming control of shadowless lamp is usually achieved by adopting digital dimming technology, which has the advantages of high precision, stability and energy saving. The dimming control of shadowless lamp is a complex and important process. This application provides a shadowless lamp dimming control system, which adopts advanced digital dimming technology and intelligent control system to make the light more evenly distributed and reduce the difference in light and dark to ensure the smooth progress of medical operations.

[0015] The shadowless lamp dimming module 11 is a key component, which is connected to the shadowless lamp dimming control system and is responsible for controlling the dimming mechanism to achieve precise adjustment of the light. The shadowless lamp dimming module 11 will adjust the brightness and color temperature of the shadowless lamp according to the specific needs of the medical operation, and use digital dimming technology to provide high-precision dimming effects. This adjustment capability can ensure that the shadowless lamp can provide the best lighting effect in different situations to meet the needs of users. Controlling the dimming mechanism is the core part of achieving the brightness adjustment of the shadowless lamp. According to the instructions of the dimming control system, the light output is accurately adjusted to meet the needs of the user; the shadowless lamp dimming module 11 ensures the precise adjustment and stable output of the light, providing reliable lighting support for the operation.

[0016] A positioning acquisition module 12, wherein the positioning acquisition module 12 receives the user's target view and the auxiliary positioning data of the electronic wearable device 15 through the electronic wearable device 15, wherein the positioning acquisition module 12 is communicatively connected with the shadowless lamp dimming control system, the positioning acquisition module 12 is embedded in the electronic wearable device 15, and the electronic wearable device 15 is worn by the user;

[0017] The positioning acquisition module 12 is embedded in the electronic wearable device, and is connected to the dimming control system of the shadowless lamp to realize information interaction and sharing. The positioning acquisition module 12 can accurately obtain the user's location information, where the user refers specifically to the profession of doctor. At the same time, since the electronic wearable device fits closely with the user, the positioning acquisition module can also receive the user's target view in real time, that is, the real-time picture or scene in the user's field of view. The positioning acquisition module 12 will process and analyze, and communicate with the dimming control system of the shadowless lamp. Based on these data, the dimming control system can intelligently adjust the brightness and direction of the shadowless lamp to provide the user with the best lighting effect. For example, when the user needs to observe a certain part more clearly during surgery, the dimming control system can automatically adjust the angle and brightness of the shadowless lamp according to the data provided by the positioning acquisition module to meet the user's lighting needs. The positioning acquisition module 12 is an important component of the electronic wearable device. Through the communication connection with the dimming control system of the shadowless lamp, the reception and processing of the user's target view and auxiliary positioning data are realized, providing an intelligent lighting solution for medical work.

[0018] A positioning and analysis module 13, wherein the output end of the positioning and analysis module 13 is connected to the shadowless lamp dimming module, and the input end of the positioning and analysis module is connected to the positioning acquisition module, wherein the positioning and analysis module performs positioning and analysis on the target view, determines view positioning data, and sends the view positioning data and the auxiliary positioning data to the shadowless lamp dimming module, and the shadowless lamp dimming module controls the movement of the dimming mechanism according to the view positioning data and the auxiliary positioning data.

[0019] The main function of the positioning analysis module 13 is to receive the target view and auxiliary positioning data sent by the positioning acquisition module 12, and then analyze and process the data. Through complex algorithms and calculations, the positioning data in the target view, that is, the key area or object that the user pays attention to in the field of view, can be accurately determined. The view positioning data, the positioning analysis module 13 will send these data together with the auxiliary positioning data, such as the user's head direction, body posture, etc. to the shadowless lamp dimming module 11. Provide the shadowless lamp dimming module 11 with accurate information about the user's current field of view and position. After receiving these data, the shadowless lamp dimming module 11 will control the movement of the dimming mechanism according to the view positioning data and the auxiliary positioning data. The dimming mechanism can accurately adjust the position and angle of the light according to the actual needs of the user to ensure that the medical operation area is fully illuminated. Through the intervention of the positioning analysis module 13, the entire dimming control system becomes more intelligent and personalized. Not only can it respond quickly according to the real-time needs of the user, but it can also provide a more accurate and efficient lighting solution, thereby greatly improving the quality and efficiency of medical work. The positioning analysis module 13 plays a key role in connecting the upper and lower parts of the shadowless lamp dimming control system, ensuring that the entire process from positioning data collection to dimming mechanism control can be carried out smoothly and efficiently.

[0020] Furthermore, the positioning and analysis module also includes:

[0021] A characteristic scale transformation module, wherein the characteristic scale transformation module is used to perform characteristic scale transformation on the target view to obtain view edge distribution characteristics;

[0022] A feature dimension reduction processing module, the feature dimension reduction processing module is used to perform feature dimension reduction processing on the view edge distribution feature through similarity probability distribution, and output the view edge distribution feature after dimension reduction;

[0023] A positioning pixel point set acquisition module is used to acquire a positioning pixel point set according to the view edge distribution characteristics after dimensionality reduction, and output the positioning pixel point set as view positioning data.

[0024] The feature scale transformation module is mainly used to transform the feature scale of the target view. Feature scale transformation is a computer vision algorithm used to detect and describe local features in images. Find extreme points in the spatial scale and extract their position, scale, and rotation invariants; it is very effective for processing images at different scales and angles, and can extract key features in the view, especially edge distribution features. Edge information is an important manifestation of the shape and structure of objects in the image. These edge features can be highlighted through scale transformation, making subsequent positioning and recognition tasks more accurate, and obtaining view edge distribution features. The view edge distribution features are crucial for subsequent positioning and recognition tasks. The extracted view edge distribution features are subjected to feature dimensionality reduction processing through similarity probability distribution. The purpose of feature dimensionality reduction is to reduce the dimension of the data while retaining key information as much as possible, thereby reducing computational costs and improving processing efficiency; similarity probability distribution can optimize the dimensionality reduction process according to the similarity between features, ensuring that the reduced-dimensional data can still effectively reflect the key information in the original view. According to the reduced-dimensional view edge distribution features, a set of positioning pixels is obtained. These pixel sets represent key position information in the view and can be regarded as the output of view positioning data. Positioning data can indicate the key areas that users pay attention to or need lighting, which is instructive for the subsequent dimming mechanism control. Through the above system, a process of accurately parsing and positioning the target view is formed.

[0025] Furthermore, the feature dimension reduction processing module also includes:

[0026] A marked area output module, the marked area output module is used to mark the key area of ​​the target view and output the marked area;

[0027] An edge pixel point coordinate set acquisition module, the edge pixel point coordinate set acquisition module is used to acquire an edge pixel point coordinate set according to the view edge distribution characteristics, wherein the edge pixel point coordinate set is the edge pixel point coordinate set before dimensionality reduction;

[0028] A coordinate set division module, the coordinate set division module is used to divide the edge pixel point coordinate set according to the identified area, and output a first type of edge pixel point coordinate set and a second type of edge pixel point coordinate set;

[0029] An edge pixel point coordinate acquisition module, wherein the first type of edge pixel point coordinate set is the edge pixel point coordinates within the identified area, and the second type of edge pixel point coordinate set is the edge pixel point coordinates outside the identified area;

[0030] A feature dimensionality reduction processing module is used to perform feature dimensionality reduction processing on the first type edge pixel point coordinate set and the second type edge pixel point coordinate set respectively.

[0031] The target view is marked with key areas, and the marked areas are output. By analyzing and understanding the target view, the key areas that the user is currently paying attention to or need special lighting are determined. The accuracy of the marked areas directly affects the accuracy and effectiveness of the subsequent positioning data. According to the edge distribution characteristics of the view, the edge pixel coordinate sets before dimensionality reduction are obtained. These edge pixel coordinate sets represent the edge information in the view and are the basic data for subsequent processing. The edge pixel coordinate sets are divided according to the marked areas, and the first type of edge pixel coordinate sets and the second type of edge pixel coordinate sets are output. The first type of edge pixel coordinate set is the edge pixel coordinates in the marked area, that is, the edge information in the key area that the user is paying attention to; the second type of edge pixel coordinate set is the edge pixel coordinates outside the marked area, representing the edge information of other non-key areas. The first type of edge pixel coordinate set and the second type of edge pixel coordinate set are processed with feature dimensionality reduction respectively. Since these two types of edge pixel coordinate sets represent different areas and features, they need to be processed separately to retain their respective key information and reduce the dimension of the data. This separate processing method can ensure that important information is not lost during the dimensionality reduction process, while improving the efficiency and accuracy of subsequent processing. Through the above system, the edge pixel coordinates of the key areas of user concern can be obtained more accurately, and more accurate positioning data can be provided for the subsequent dimming mechanism control. This helps to achieve more intelligent and personalized lighting control and improve the quality and efficiency of medical work.

[0032] Furthermore, the system also includes:

[0033] The positioning and analysis module includes a granularity configuration module, which configures a first dimensionality reduction granularity and a second dimensionality reduction granularity according to the granularity configuration module, reduces the dimension of the first type of edge pixel point coordinate set according to the first dimensionality reduction granularity, and reduces the dimension of the second type of edge pixel point coordinate set according to the second dimensionality reduction granularity, wherein the first dimensionality reduction granularity is greater than the second dimensionality reduction granularity.

[0034] The main function of the granularity configuration module is to configure different dimension reduction granularities for different edge pixel point coordinate sets according to actual needs. The granularity configuration module will configure the first dimension reduction granularity and the second dimension reduction granularity. The first dimension reduction granularity is used for the dimension reduction processing of the first type of edge pixel point coordinate set, while the second dimension reduction granularity is used for the dimension reduction processing of the second type of edge pixel point coordinate set. This setting is based on the different emphasis and needs on the two types of edge pixel point sets. Since the first type of edge pixel point coordinate set represents the key area of ​​user concern, the granularity of its dimension reduction processing needs to be finer, that is, the first dimension reduction granularity should be larger than the second dimension reduction granularity. This ensures that the edge information of the key area can be more completely retained during the dimension reduction process, avoiding the loss of important information due to excessive dimensionality reduction. The second type of edge pixel point coordinate set represents a non-key area, and the granularity of its dimension reduction processing can be relatively coarse. By adopting a smaller second dimension reduction granularity, the amount of calculation can be reduced to a certain extent, the processing efficiency can be improved, and at the same time, the edge information of the non-key area will not have much impact on the final positioning result. The granularity configuration module can flexibly configure the dimension reduction granularity according to actual needs, realize different processing of key areas and non-key areas, and further improve the accuracy and efficiency of positioning analysis. This optimization measure helps to improve the performance and intelligence level of the entire shadowless lamp dimming control system.

[0035] Furthermore, the system also includes:

[0036] The expression of the similarity probability distribution is:

[0037] ;

[0038] in To characterize the divergence of the pixel distribution similarity between the view edge distribution feature and the view edge distribution feature after dimensionality reduction, let The dimension reduction process is performed with the constraint condition of tending to 0. It is a measure of the closeness between the edge distribution characteristics of a view and the edge distribution characteristics of a view after dimensionality reduction.

[0039] , is the number of pixel coordinates of the view edge distribution feature, is the pixel coordinates based on the view edge distribution feature With pixel coordinates The similarity probability of is the pixel coordinates in the edge distribution features of the view after dimensionality reduction With pixel coordinates The similarity probability.

[0040] Similarity probability distribution is a mathematical expression used to measure the similarity between the edge distribution features of the original view and the edge distribution features of the reduced view. It is based on the concept of probability distribution and evaluates the effect of dimensionality reduction by calculating the similarity probability between different features.

[0041] The expression of the similarity probability distribution is:

[0042] ;

[0043] in, To characterize the divergence of the pixel distribution similarity between the view edge distribution feature and the view edge distribution feature after dimensionality reduction, let The dimension reduction process is performed with the constraint condition of tending to 0. It is a measure of the closeness between the edge distribution features of the view and the edge distribution features of the view after dimensionality reduction. The divergence is used to characterize the difference between the original edge distribution features of the view and the edge distribution features of the view after dimensionality reduction in terms of the similarity of the pixel distribution. The goal is to make this divergence approach 0, that is, to make the features after dimensionality reduction as close to the original features as possible while maintaining the integrity of key information. The measure is used to quantify the closeness between the edge distribution features of the view and the edge distribution features of the view after dimensionality reduction. This indicator is usually a similarity measure based on probability distribution, which can reflect the similarity or difference between the two feature distributions.

[0044] , is the number of pixel coordinates of the view edge distribution feature, is the pixel coordinates based on the view edge distribution feature With pixel coordinates The similarity probability of is the pixel coordinates in the edge distribution features of the view after dimensionality reduction With pixel coordinates By optimizing this similarity probability distribution expression, the key information of the original features can be retained as much as possible during the dimensionality reduction process, while reducing the dimension of the data and the computational complexity, which helps to improve the accuracy and efficiency of subsequent positioning analysis and provide a more accurate and intelligent lighting control solution for the shadowless lamp dimming control system. The specific similarity probability distribution expression may vary depending on factors such as application scenarios, data characteristics, and algorithm design.

[0045] Furthermore, the shadowless lamp dimming module also includes:

[0046] A real-time image acquisition module, wherein the shadowless lamp dimming module controls the dimming mechanism to pre-move according to the auxiliary positioning data until it is located at the auxiliary positioning data, and then uses an image collector to acquire a real-time acquisition image;

[0047] A positioning comparison error acquisition module, wherein the positioning comparison error acquisition module is used to match and compare the view positioning data with the real-time collected image after receiving the view positioning data output by the positioning analysis module to obtain a positioning comparison error;

[0048] An adjustment state release module is used to control the dimming mechanism to perform calibration movement according to the positioning comparison error until the matching degree of the view positioning data on the real-time collected image reaches a preset threshold, thereby releasing the adjustment state of the dimming mechanism.

[0049] After receiving the auxiliary positioning data, the dimming module of the shadowless lamp will first control the dimming mechanism to pre-move and preliminarily adjust the dimming mechanism to a position close to the target position, so as to lay the foundation for subsequent more precise adjustments. The auxiliary positioning data comes from a variety of sensors or devices, such as infrared sensors, ultrasonic sensors, etc., which provide preliminary clues about the target position or environmental information. When the dimming mechanism moves to the position indicated by the auxiliary positioning data, the dimming module of the shadowless lamp will use the image collector to obtain the real-time acquisition image. The image collector may be a high-resolution camera that can capture images of the surgical area in real time. These real-time images will be used for the subsequent matching and comparison process. The dimming module of the shadowless lamp will receive the view positioning data output by the positioning analysis module, which accurately reflects the key areas or objects that the user is concerned about in the field of vision. The dimming module of the shadowless lamp will match and compare the view positioning data with the real-time acquisition image. This process is to compare the position and shape of the view positioning data in the real-time image with the expected position and shape, so as to calculate the positioning comparison error. This error reflects the deviation between the current position of the dimming mechanism and the target position. According to the positioning comparison error, the shadowless lamp dimming module will control the dimming mechanism to perform calibration movement. This process is an iterative process. By continuously adjusting the position and angle of the dimming mechanism, the positioning comparison error is gradually reduced until the matching degree of the view positioning data on the real-time acquired image reaches the preset threshold. This preset threshold is a value set according to actual application needs, which represents the system's requirements for positioning accuracy and is used to determine whether the positioning accuracy requirements are met. When the matching degree between the view positioning data and the real-time acquired image reaches the preset threshold, the shadowless lamp dimming module will release the adjustment state of the dimming mechanism. At this time, the dimming mechanism has been accurately positioned at the target position and subsequent lighting operations can be started. The shadowless lamp dimming module can achieve precise control of the dimming mechanism, ensuring that the light can accurately illuminate the key areas of concern to the user, thereby improving the efficiency and quality of the operation.

[0050] Furthermore, the shadowless lamp dimming module also includes:

[0051] A receiving module, wherein the shadowless lamp dimming module receives the view angle and distance measurement data of the positioning and analysis module;

[0052] A parsing and acquiring module, wherein the parsing and acquiring module is used in the present invention, wherein the view angle is obtained by the positioning parsing module parsing the target view, and the ranging data is obtained by the ranging sensor provided in the positioning parsing module;

[0053] A pre-movement optimization module is used by the shadowless lamp dimming module to perform pre-movement optimization on the dimming mechanism according to the viewing angle and the distance measurement data.

[0054] After receiving the view angle and distance measurement data from the positioning and analysis module, the shadowless lamp dimming module will use this information to pre-move and optimize the dimming mechanism to more accurately locate the target position; the view angle is obtained by the positioning and analysis module through the analysis of the target view, reflecting the direction of the key area or object that the user is concerned about in the field of vision. The distance measurement data is obtained by the distance measurement sensor set in the positioning and analysis module, providing the actual distance information between the target area or object and the dimming mechanism. After receiving these data, the shadowless lamp dimming module will conduct a comprehensive analysis in combination with the auxiliary positioning data. The direction in which the dimming mechanism needs to be adjusted is determined according to the view angle, and the specific distance the dimming mechanism needs to move is determined according to the distance measurement data. By comprehensively considering the above information, the shadowless lamp dimming module can generate more accurate control instructions and pre-move and optimize the dimming mechanism. The purpose of pre-movement optimization is to enable the dimming mechanism to approach the expected position more accurately before moving to the target position, thereby reducing the number and amplitude of subsequent calibration movements. It can not only improve the positioning efficiency of the dimming mechanism, but also reduce the errors and interference that may be caused by frequent adjustments. After completing the pre-movement optimization, the shadowless lamp dimming module will use the image collector to obtain the real-time acquisition image, and match and compare it with the view positioning data output by the positioning analysis module. By comparing the position and shape of the view positioning data in the real-time image with the expected position and shape, the shadowless lamp dimming module can calculate the positioning comparison error. According to the positioning comparison error, the shadowless lamp dimming module will control the dimming mechanism to perform calibration movement again until the matching degree of the view positioning data on the real-time acquisition image reaches the preset threshold. By continuously adjusting the position and angle of the dimming mechanism, the positioning comparison error is gradually reduced to achieve precise positioning. By combining the view angle, ranging data and real-time image matching and comparison, the shadowless lamp dimming module can achieve precise control of the dimming mechanism to ensure that the light can accurately illuminate the key areas of user concern. This optimization method improves the intelligence level and positioning accuracy of the shadowless lamp dimming system, and provides a more reliable and efficient lighting solution.

[0055] Furthermore, the shadowless lamp dimming module also includes:

[0056] A lamp body assembly module, wherein the lamp body assembly module is used for a lamp body assembly, wherein the lamp body assembly is controlled by the dimming mechanism, and when the dimming mechanism moves, the lamp body assembly is driven to move;

[0057] An illumination angle adjustment module, which is used by the shadowless lamp dimming module to adjust the illumination angle of the lamp body assembly according to the viewing angle

[0058] As the core part of the shadowless lamp system, the precise control of the position and illumination angle of the lamp body assembly is crucial to achieve high-quality lighting effects. In the shadowless lamp system, the lamp body assembly is closely connected with the dimming mechanism and is directly controlled by the dimming mechanism. When the dimming mechanism moves according to the received instructions, it will drive the lamp body assembly to move accordingly, thereby changing the position of the light irradiation. During the pre-movement optimization and calibration movement of the dimming mechanism, the lamp body assembly will be accurately positioned to the target position. This linkage mechanism ensures that the light can accurately illuminate the key parts of the surgical or working area, providing a clear and bright visual environment. The shadowless lamp dimming module also adjusts the illumination angle of the lamp body assembly according to the view angle. The view angle is obtained by the positioning and parsing module through parsing the target view, which reflects the direction of the key area or object that the user is concerned about in the field of view. The dimming module accurately controls the illumination direction of the lamp body assembly based on this angle information to ensure that the light can illuminate the target area at the best angle. By comprehensively controlling the position and illumination angle of the lamp body components, the dimming module of the shadowless lamp can achieve highly personalized lighting effects. Regardless of various scenarios, such as surgical operations, examinations and diagnoses, it can provide the most suitable and comfortable lighting solutions according to user needs and environmental conditions. It not only improves the lighting quality, but also improves the user experience. Users can focus more on surgical operations without worrying about insufficient light or inaccurate illumination. At the same time, the intelligence and automation of the system have greatly improved work efficiency and reduced the time and effort of manual adjustments. In summary, the close cooperation between the lamp body components and the dimming mechanism, as well as the adjustment of the illumination angle according to the viewing angle, together constitute the basis for the efficient and precise lighting function of the shadowless lamp system.

[0059] In summary, the beneficial effects of this system include:

[0060] 1. Through the combination of the positioning acquisition module and the positioning analysis module, the system can accurately identify the user's target view and control the movement of the dimming mechanism according to the view positioning data and auxiliary positioning data. This ensures that the shadowless lamp can always accurately illuminate the target area during the operation and provide high-quality, shadow-free lighting;

[0061] 2. The system receives the user's target view through the electronic wearable device, and can realize automatic dimming and control of the shadowless lamp without manual operation. It improves the convenience and efficiency of surgery and reduces the doctor's distraction during the operation;

[0062] 3. The feature scale transformation module and feature dimension reduction processing module in the system can efficiently extract features and reduce dimensions of the target view, thereby quickly and accurately obtaining view positioning data. This ensures the system's rapid response and precise control of the target view;

[0063] 4. The system adopts dimension reduction processing strategies of different granularities and performs targeted dimension reduction processing according to the different characteristics of key areas and non-key areas. This not only ensures the accuracy of positioning, but also reduces the calculation complexity and improves the real-time performance of the system;

[0064] 5. The system matches and compares the view positioning data and the real-time acquisition image through the real-time image acquisition module and the positioning comparison error acquisition module, and promptly detects and calibrates the positioning error. This ensures the stability and reliability of the shadowless lamp during the operation;

[0065] 6. The system pre-moves and optimizes the dimming mechanism according to the viewing angle and distance measurement data, so that the shadowless lamp can reach the target position more quickly, reducing adjustment time and errors.

[0066] The specific embodiment of a shadowless lamp dimming control system can be referred to above and will not be described here. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0067] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0068] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. A shadowless lamp dimming control system, characterized in that: The system comprises: A shadowless lamp dimming module, the shadowless lamp dimming module is communicatively connected with the shadowless lamp dimming control system, and the shadowless lamp dimming module is used to control the dimming mechanism; A positioning acquisition module, which receives the user's target view and the auxiliary positioning data of the electronic wearable device through the electronic wearable device, wherein the positioning acquisition module is communicatively connected with the shadowless lamp dimming control system, the positioning acquisition module is embedded in the electronic wearable device, and the electronic wearable device is worn by the user; A positioning and analysis module, wherein the output end of the positioning and analysis module is connected to the shadowless lamp dimming module, and the input end of the positioning and analysis module is connected to the positioning acquisition module, wherein the positioning and analysis module performs positioning and analysis on the target view, determines view positioning data, and sends the view positioning data and the auxiliary positioning data to the shadowless lamp dimming module, and the shadowless lamp dimming module controls the movement of the dimming mechanism according to the view positioning data and the auxiliary positioning data; The positioning and analysis module includes: A characteristic scale transformation module, wherein the characteristic scale transformation module is used to perform characteristic scale transformation on the target view to obtain view edge distribution characteristics; A feature dimension reduction processing module, the feature dimension reduction processing module is used to perform feature dimension reduction processing on the view edge distribution feature through similarity probability distribution, and output the view edge distribution feature after dimension reduction; A positioning pixel point set acquisition module, the positioning pixel point set acquisition module is used to acquire a positioning pixel point set according to the view edge distribution characteristics after dimensionality reduction, and output the positioning pixel point set as view positioning data; The feature dimension reduction processing module includes: A marked area output module, the marked area output module is used to mark the key area of ​​the target view and output the marked area; An edge pixel point coordinate set acquisition module, the edge pixel point coordinate set acquisition module is used to acquire an edge pixel point coordinate set according to the view edge distribution characteristics, wherein the edge pixel point coordinate set is the edge pixel point coordinate set before dimensionality reduction; A coordinate set division module, the coordinate set division module is used to divide the edge pixel point coordinate set according to the identified area, and output a first type of edge pixel point coordinate set and a second type of edge pixel point coordinate set; An edge pixel point coordinate acquisition module, wherein the first type of edge pixel point coordinate set is the edge pixel point coordinates within the identified area, and the second type of edge pixel point coordinate set is the edge pixel point coordinates outside the identified area; A feature dimension reduction processing module, wherein the feature dimension reduction processing module is used to perform feature dimension reduction processing on the first type edge pixel point coordinate set and the second type edge pixel point coordinate set respectively; The positioning and analysis module includes a granularity configuration module, and a first dimension reduction granularity and a second dimension reduction granularity are configured according to the granularity configuration module, and the first type of edge pixel point coordinate set is reduced in dimension according to the first dimension reduction granularity, and the second type of edge pixel point coordinate set is reduced in dimension according to the second dimension reduction granularity, wherein the first dimension reduction granularity is greater than the second dimension reduction granularity; The expression of the similarity probability distribution is: ； in, To characterize the divergence of the pixel distribution similarity between the view edge distribution feature and the view edge distribution feature after dimensionality reduction, let The dimension reduction process is performed with the constraint condition of tending to 0. It is a measure of how close the edge distribution characteristics of a view are to the edge distribution characteristics of the view after dimensionality reduction. , is the number of pixel coordinates of the view edge distribution feature, is the pixel coordinates based on the view edge distribution feature With pixel coordinates The similarity probability of is the pixel coordinates in the edge distribution features of the view after dimensionality reduction With pixel coordinates The similarity probability.

2. The system according to claim 1, characterized in that The shadowless lamp dimming module comprises: A real-time image acquisition module, wherein the shadowless lamp dimming module controls the dimming mechanism to pre-move according to the auxiliary positioning data until it is located at the auxiliary positioning data, and then uses an image collector to acquire a real-time acquisition image; A positioning comparison error acquisition module, wherein the positioning comparison error acquisition module is used to match and compare the view positioning data with the real-time collected image after receiving the view positioning data output by the positioning analysis module to obtain a positioning comparison error; An adjustment state release module is used to control the dimming mechanism to perform calibration movement according to the positioning comparison error until the matching degree of the view positioning data on the real-time collected image reaches a preset threshold, thereby releasing the adjustment state of the dimming mechanism.

3. The system according to claim 2, characterized in that The shadowless lamp dimming module also includes: A receiving module, wherein the shadowless lamp dimming module receives the view angle and distance measurement data of the positioning and analysis module; A parsing and acquiring module, wherein the parsing and acquiring module is used in the present invention, wherein the view angle is obtained by the positioning parsing module parsing the target view, and the ranging data is obtained by the ranging sensor provided in the positioning parsing module; A pre-movement optimization module is used by the shadowless lamp dimming module to perform pre-movement optimization on the dimming mechanism according to the viewing angle and the distance measurement data.

4. The system according to claim 3, characterized in that The shadowless lamp dimming module also includes: A lamp body assembly module, wherein the lamp body assembly module is used for a lamp body assembly, wherein the lamp body assembly is controlled by the dimming mechanism, and when the dimming mechanism moves, the lamp body assembly is driven to move; An illumination angle adjustment module is used by the shadowless lamp dimming module to adjust the illumination angle of the lamp body assembly according to the viewing angle.

Images