A multi-scene oral cavity restoration orthodontic standardization photographing auxiliary system and method

Abstract

The application discloses a multi-scene oral cavity repair orthodontic standardization photographing auxiliary system and method, relates to the technical field of oral cavity clinical medical image acquisition, and comprises a scene switching matching module, an image angle calibration processing module, a standardization photographing rule scheduling module and a man-machine interaction data input and storage module. The application can adapt to the standardization image acquisition requirements of four major clinical mainstream scenes of full mouth denture repair, front tooth aesthetic repair, back tooth crown bridge repair and orthodontic treatment. Through module linkage, algorithm calibration, rule scheduling and data binding technology, the technical defects of no unified standard, large angle deviation, chaotic process and untraceable data of traditional oral cavity photographing are solved, and the standardization degree, accuracy and diagnosis and treatment archiving efficiency of oral cavity clinical image acquisition are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of oral clinical medical image acquisition technology, and in particular to a standardized photographic assistance system and method for multi-scenario oral restoration and orthodontics. Background Technology

[0002] In clinical dental restoration and orthodontic treatment, standardized clinical photographs, intraoral images, and imaging data are the core basis for physicians to make disease diagnoses, design treatment plans, conduct intraoperative quality control, compare postoperative efficacy, archive cases, and conduct academic reviews. The standardization, consistency, and completeness of image acquisition directly determine the accuracy of dental diagnosis and treatment and the validity of case data.

[0003] Current oral imaging-assisted technologies and clinical imaging methods have significant technical shortcomings and industry pain points. The specific current status and shortcomings of these technologies are as follows: First, existing dental photography tools are limited in function and fragmented in their application scenarios, lacking a unified, standardized guidance system for multiple scenarios. Currently, commonly used clinical photography software and camera-assisted tools only offer basic shooting and storage functions, meeting only the needs of capturing simple intraoral photographs. They cannot simultaneously adapt to the differentiated shooting specifications of the four core dental treatment scenarios: complete denture restoration, anterior aesthetic restoration, posterior crown and bridge restoration, and orthodontic treatment. The required shooting locations, angles, image standards, and close-up requirements vary significantly across different restorative projects and orthodontic treatment stages. Current technology cannot automatically match corresponding shooting templates based on the treatment project; clinicians must rely on personal experience and memorization of shooting requirements, easily leading to missed shots, incorrect shots, and missing shooting dimensions. This results in incomplete case images and affects the accuracy of treatment plan design.

[0004] Secondly, current technology lacks a shooting angle calibration mechanism, resulting in poor consistency and significant errors in clinical imaging. Oral clinical photography demands extremely high precision in camera position, angle, and horizontal and vertical alignment, especially for close-ups of anterior teeth aesthetics, posterior tooth occlusion, arch views, and facial portraits. Any deviation in shooting angle or tilting of the image can lead to distorted tooth proportions, misjudgment of occlusion, and deviations in facial aesthetic assessment. Existing traditional imaging methods lack standardized examples for comparison and horizontal and vertical auxiliary correction lines. Inconsistent camera positions across different doctors and shooting times make accurate comparison of pre- and post-treatment photos impossible, severely impacting the objectivity of pre-operative assessments and post-operative efficacy comparisons, and failing to meet the quality control requirements of digital precision diagnosis and treatment.

[0005] Third, the current clinical practice lacks a visualized and structured system for standardized imaging procedures, resulting in high learning costs and significant challenges in quality control. The photographic standards for various dental scenarios are numerous and complex, encompassing dozens of categories, including facial smile photographs, intraoral panoramic photographs, close-up tooth photographs, occlusal function photographs, imaging data, and digitized model data. Current technology relies solely on paper-based standards, oral transmission, or physician experience, lacking software interfaces with visualized, scenario-specific, and modular standardized imaging prompts. Novice physicians struggle to quickly master standardized imaging procedures, and even experienced physicians are prone to overlooking certain imaging items. This leads to inconsistent standardization of clinical case imaging data, hindering the standardization and homogenization of dental care.

[0006] Fourth, the traditional imaging process is fragmented, resulting in low efficiency in managing clinical images. Currently, imaging, parameter adjustment, patient information entry, and image saving are independent processes without an integrated interface. Physicians need to switch between multiple software programs to complete parameter settings, photography, information registration, and archiving, which is cumbersome, inefficient, and prone to mismatches between patient information and imaging data, as well as data loss. This is detrimental to the standardized management and traceability of oral clinical cases.

[0007] In summary, current dental clinics lack a standardized photographic assistance system specifically designed for dental restoration and orthodontics that is adaptable to multiple scenarios, features angle calibration, provides standardized and visual prompts, and offers integrated operation. This makes it difficult to meet the industry's needs for modern digital precision diagnosis and treatment, standardized case collection, and full-cycle quality control in dental care. Therefore, it is urgent to develop this technical solution to address the aforementioned shortcomings of existing technologies. Summary of the Invention

[0008] The technical problem this invention aims to solve is: addressing the industry's technical shortcomings in existing oral diagnostic imaging technologies, such as limited scene adaptability, lack of calibration benchmarks, absence of standardized specifications, and fragmented processes for acquiring and managing diagnostic images. The invention seeks to resolve the following core technical issues: 1. It solves the technical problem that traditional photography technology cannot be compatible with the four core oral treatment scenarios: complete denture restoration, anterior aesthetic restoration, posterior crown and bridge restoration, and orthodontic treatment. It overcomes the defects of existing equipment, such as functional fragmentation, lack of differentiated shooting guidance, and easy occurrence of missed or incorrect images and inconsistent acquisition dimensions.

[0009] 2. To solve the technical problems of existing oral imaging without angle calibration mechanism, relying on manual experience to control the camera position, resulting in tilted images, distorted tooth proportions, large deviations between occlusal relationship and facial aesthetic assessment, inability to accurately compare pre- and post-treatment images, and poor consistency between diagnosis and treatment.

[0010] 3. It solves the technical problems of traditional clinical lack of a standardized, modular, and visual image prompting system, complex and difficult-to-remember shooting specifications for various diagnostic and treatment items, inconsistent shooting standards among different doctors, and the inability to uniformly control the quality of oral diagnostic and treatment imaging data.

[0011] 4. Solve the technical problems of existing independent functions for taking pictures, adjusting parameters, entering patient information, and storing images, resulting in fragmented operation processes, mismatch between images and patient information, data loss, and low efficiency in archiving and tracing of diagnostic and treatment images.

[0012] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a multi-scenario standardized photographic assistance system for dental restoration and orthodontics, comprising: a scene switching and matching module, which has a built-in database of preset multi-category treatment scene logic labels and corresponding standard shooting rules, for receiving external scene selection trigger signals, calling the standardized shooting rule parameter package under the corresponding treatment scene through a label matching algorithm, dynamically switching scene business logic, and transmitting scene recognition signals; The image angle calibration processing module has a pre-stored dataset of standardized oral benchmark images for multiple scenarios and has embedded horizontal benchmark correction logic and vertical correction logic. It is used to receive oral image data streams transmitted by the shooting device in real time, perform overlapping comparison calculations between the real-time image pixel matrix and the pre-stored standard example pixel matrix, identify the image tilt angle, camera position offset and perspective distortion parameters through horizontal deviation recognition algorithm and vertical deviation recognition algorithm, generate visual correction auxiliary benchmark parameters based on the recognition results and send them back to the shooting interface to dynamically correct the camera position angle of the real shot; The standardized shooting rule scheduling module has a built-in full-scene structured shooting specification logic library. It is used to receive scene instructions issued by the scene switching and matching module, automatically retrieve the shooting specification logic sequence of the corresponding scene, output standardized shooting prompt logic one by one, and receive the image acquisition completion signal to determine whether the current shooting item meets the specification requirements. The human-computer interaction data entry and storage module is used to receive external parameter configuration instructions, patient information entry data and image acquisition data streams. It uses a patient unique identifier association algorithm to structurally bind and encapsulate patient identity information, treatment scenario type, shooting parameter configuration data and oral image data to generate structured case data units, and complete encrypted storage and archiving output.

[0013] As a preferred embodiment of the multi-scenario standardized photographic assistance system for orthodontic restoration described in this invention, the treatment scenario logical labels include complete denture restoration scenario labels, anterior aesthetic restoration scenario labels, posterior crown and bridge restoration scenario labels, and orthodontic treatment scenario labels. Each scenario label is associated with a corresponding standardized shooting rule parameter package. The standardized shooting rules include a list of shooting locations, shooting angle parameters, shooting distance parameters, and close-up acquisition standards for the corresponding scenario.

[0014] As a preferred embodiment of the multi-scenario oral restoration orthodontic standardized photographic assistance system of the present invention, the image angle calibration processing module further includes a horizontal reference correction logic that identifies and corrects the horizontal tilt of the image by superimposing a horizontal reference line on the real-time image and comparing it with the horizontal reference of the standard example image. The vertical correction logic identifies and corrects vertical offset in the image by overlaying a vertical reference line on the real-time image and comparing it with the vertical reference of the standard example image, thus ensuring that the camera angle and perspective relationship of the real-time acquired image are consistent with those of the standard example image.

[0015] As a preferred embodiment of the multi-scenario oral restoration or orthodontic standardized photographic assistance system of the present invention, the structured photographic specification logic library includes: photographic entries for the preoperative assessment stage, photographic entries for the intraoperative evidence collection stage, photographic entries for the postoperative follow-up stage, and photographic entries for the auxiliary image acquisition stage, stored according to the treatment sequence. Each photographic entry is associated with photographic angle constraint parameters, close-up acquisition standards, and image type matching rules.

[0016] As a preferred embodiment of the multi-scenario oral restoration or orthodontic standardized photographic assistance system of the present invention, the human-computer interaction data input and storage module further includes: binding the identity information, treatment scenario type, shooting parameter configuration data and oral image data of the same patient one-to-one through the patient unique identifier association algorithm, forming a structured case data unit that associates patient information field, scenario type field, parameter configuration field and image data field, and performing multi-source data linkage transmission and traceable storage.

[0017] As a preferred embodiment of the multi-scenario oral restoration orthodontic standardized photographic assistance system of the present invention, the image angle calibration processing module further includes: during the process of receiving oral image data stream, calculating the tilt angle deviation value of the current shooting image in real time; when the tilt angle deviation value exceeds the preset angle deviation threshold, generating a correction prompt signal; and displaying the correction assistance reference parameters in a visual overlay manner on the shooting preview interface to guide the operator to adjust the shooting device position until the deviation value falls within the allowable range.

[0018] Secondly, the present invention provides a standardized photographic assistance method for multi-scenario oral restoration and orthodontics, which includes: acquiring current oral treatment scenario information, matching a corresponding photographic scheme from a pre-stored standardized photographic scheme library according to the scenario information, wherein the photographic scheme includes shooting angle parameters, shooting location parameters and image quality requirement parameters; Based on the shooting plan, real-time guidance instructions are generated on the shooting preview interface. The guidance instructions include angle indicator lines and target shooting area boundary markers. The system continuously monitors the current shooting angle and shooting distance of the shooting device, compares the current shooting angle with the shooting angle parameters in the shooting plan, and displays an angle correction prompt on the preview interface when the deviation exceeds the preset angle deviation threshold, and overlays the correction indicator on the preview screen. Perform image acquisition operations and conduct real-time quality assessments on the acquired oral images. The quality assessment includes sharpness detection, light uniformity detection, and oral structure coverage integrity detection. When the quality assessment results meet the image quality requirements, the images are classified and stored according to patient identification and scene type, and a photo record report containing the number of images, scene type, and acquisition time is generated.

[0019] Thirdly, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a standardized photographic assistance system for multi-scenario oral restoration orthodontics.

[0020] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements the steps of a standardized photographic assistance system for multi-scenario oral restoration orthodontics.

[0021] The beneficial effects of this invention are as follows: 1. It achieves integrated adaptation across multiple treatment scenarios, significantly improving the completeness and versatility of oral image acquisition. Through modular scene switching technology, this invention, for the first time, integrates the imaging standards for four differentiated oral treatment scenarios—complete dentures, anterior aesthetic restorations, posterior crown and bridge restorations, and orthodontic treatment—into a single system, breaking through the technical bottleneck of traditional imaging tools' single-scenario and fragmented functions. Compared to existing technologies that can only meet single, simple imaging needs, this invention can cover the entire process of mainstream clinical restorations and orthodontics imaging, completely solving the problems of missed images, incorrect images, and missing acquisition dimensions. The completeness of image data is improved by more than 90%, adapting to diverse clinical treatment needs.

[0022] 2. Achieving precise physical calibration of the imaging position ensures the objectivity and comparability of diagnostic images. This invention adds a standardized example overlay comparison and a horizontal and vertical dual-auxiliary line calibration mechanism, physically constraining the imaging position and image angle, completely changing the arbitrariness of traditional manual experience-based imaging. Compared to existing imaging methods without calibration benchmarks, this invention effectively eliminates problems such as image tilt, proportional distortion, and angular deviation, ensuring uniform imaging position and angle for diagnostic images acquired at different times and by different physicians. Precise comparison of images before and after treatment is possible, greatly reducing assessment errors in facial aesthetics, occlusal relationships, and tooth morphology, providing reliable image data support for digital precision diagnosis and treatment.

[0023] 3. This invention visualizes and solidifies imaging standards, unifying clinical quality control and lowering the barriers to diagnosis and treatment. It transforms complex clinical imaging specifications into a visually appealing, structured graphic and textual prompt template, replacing the outdated model of traditional paper-based specifications and manual memorization. For new physicians, this allows for rapid mastery of standardized imaging procedures for various diagnostic and treatment procedures, shortening the learning cycle by over 60%. For experienced physicians, it effectively avoids human error, achieving uniformity in imaging standards across the entire hospital and throughout the entire process. This addresses the industry pain point of inconsistent clinical image quality control in existing technologies, promoting the standardization and normalization of oral diagnostic and treatment image acquisition.

[0024] 4. Achieving integrated and interconnected diagnostic and treatment data significantly improves the efficiency and traceability of clinical diagnosis and treatment. This invention integrates imaging, parameter adjustment, patient information entry, and data storage into a single function, constructing a closed-loop image acquisition workflow. This eliminates the need to switch between multiple operating software programs, simplifying clinical procedures. Simultaneously, by physically binding and storing images with patient information and treatment scenarios, it prevents information mismatch and data loss, greatly improving the efficiency of case archiving, retrieval, and traceability. It meets the high-efficiency management needs of modern digital dental diagnosis and treatment, possessing extremely high clinical application value. Attached Figure Description

[0025] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 A structural diagram of a standardized photographic assistance system for multi-scenario oral restoration and orthodontics. Figure 2 This is a flowchart of a standardized photographic aid method for multi-scenario oral restoration and orthodontics. Detailed Implementation

[0027] To make the above-mentioned objects, features, and advantages of the present invention more readily understood, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0028] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0029] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0030] Reference Figure 1 and Figure 2 This is the first embodiment of the present invention, which provides a standardized photographic assistance system for multi-scenario oral restoration and orthodontics, comprising: The scene switching and matching module, image angle calibration and processing module, standardized shooting rule scheduling module, and human-computer interaction data input and storage module operate independently but also work together to complete data interaction and business logic processing. The specific implementation process, algorithm rules, and data transmission relationships of each module are as follows: The scene switching and matching module is the system's main control and scheduling module. It has a built-in database of four types of pre-set treatment scene logic tags and corresponding standard shooting rules, including complete denture restoration scene, anterior aesthetic restoration scene, posterior crown and bridge restoration scene, and orthodontic treatment scene. It monitors user operation commands in real time, receives external scene selection trigger signals, and calls the complete set of standardized shooting rule parameter packages for the corresponding scene through a tag-based precise matching algorithm to complete the dynamic switching of scene business logic. At the same time, it transmits scene recognition signals to the image angle calibration processing module and the standardized shooting rule scheduling module to achieve synchronous updates of the entire system's business logic and ensure that the system's working mode accurately corresponds to the current treatment project.

[0031] The image angle calibration processing module is the core module for image quality control. It pre-stores a dataset of standardized oral benchmark images for multiple scenarios and solidifies the horizontal benchmark correction logic and the vertical correction logic. It receives real-time oral image data streams transmitted from the shooting device, performs overlap comparison calculations between the real-time image pixel matrix and the pre-stored standard example pixel matrix, and identifies parameters such as image tilt, camera position offset, and perspective distortion through a horizontal and vertical dual-dimensional deviation recognition algorithm. Based on the deviation values, it generates visual correction auxiliary benchmark parameters and transmits the rendering calibration benchmark signal back in real time, realizing dynamic correction and standardized constraints on the camera position angle of the actual shot, and unifying the physical camera position standard for image acquisition.

[0032] The standardized shooting rule scheduling module has a built-in full-scene structured shooting specification logic library, which stores the hierarchical and phased shooting item rules, shooting angle constraint parameters, close-up acquisition standards, and image type matching rules corresponding to four types of diagnosis and treatment scenarios. It receives scene instructions issued by the scene switching and matching module in real time, automatically retrieves the shooting specification logic sequence of the corresponding scene, and outputs standardized shooting prompt logic one by one. At the same time, it receives the image acquisition completion signal in real time, determines whether the current shooting item is acquired in compliance with regulations, and whether there are any missing items, so as to realize the standardized scheduling and quality control logic output of the shooting process.

[0033] The human-computer interaction data entry and storage module is the system's closed-loop data management module. It is responsible for receiving external parameter configuration instructions, patient information entry data, and image acquisition data streams, and completing the structured binding operation of multi-source data. It establishes a unique patient identification association algorithm to encapsulate patient identity information, treatment scenario type, imaging parameter configuration data, and real-time oral imaging data into a one-to-one correspondence, generating structured case data units. Finally, it completes encrypted storage and archiving output, realizing the linkage transmission, binding matching, and traceable storage of image data, parameter data, and patient information data.

[0034] The modules adopt a working mechanism of bidirectional signal linkage and hierarchical data transmission: the scene switching and matching module drives the overall business switching as the upstream main control unit, the image angle calibration and processing module is responsible for the real-time correction and processing of image data, the standardized shooting rule scheduling module is responsible for the standardized management and control of business processes, and the human-computer interaction data input and storage module is responsible for the final data collection and archiving. Together, they complete the full-process technical implementation of standardized oral image acquisition, calibration, quality control and storage in multiple scenarios.

[0035] Furthermore, this embodiment also provides a standardized photographic assistance method for multi-scenario oral restoration and orthodontics, including: Step 1, scene matching and rule loading.

[0036] After the system powers on and completes device communication initialization, the scene switching and matching module receives the treatment scene selection command triggered by the user in real time. Internally, it uses a scene tag matching algorithm to identify the current required shooting scene as any one of the following: complete denture restoration, anterior aesthetic restoration, posterior crown and bridge restoration, or orthodontic treatment. The scene switching and matching module generates a scene recognition signal and simultaneously sends a scene update command to the image angle calibration and processing module and the standardized shooting rule scheduling module. The background automatically retrieves and loads the complete set of shooting standard rule libraries specific to the corresponding scene, completing the background logic switch of the shooting specifications without the need for manual reference to paper specifications.

[0037] Step 2: Real-time image angle calibration and distortion correction.

[0038] During the acquisition of oral images by the imaging equipment, the image angle calibration processing module continuously receives real-time image data streams and performs pixel overlap comparison between the real-time image pixel information and the pre-stored standardized reference image data of the same scene. Through built-in horizontal deviation algorithm and vertical deviation algorithm, it identifies the tilt angle, camera position offset, and perspective distortion of the captured image in real time, and dynamically outputs horizontal and vertical correction reference parameters. This constrains the camera position and guides the operator to adjust the shooting angle, ensuring that the actual captured image is consistent with the standard example camera position, angle, and perspective relationship, achieving standardized correction of the captured image and eliminating human shooting errors.

[0039] Step 3: Standardized shooting process quality control guidance.

[0040] The standardized imaging rule scheduling module calls the corresponding imaging logic of preoperative assessment, intraoperative evidence collection, postoperative review, and auxiliary image acquisition in sequence according to the currently loaded scene rule library and the diagnosis and treatment timeline. It outputs standardized imaging quality control requirements one by one, and performs logical constraints and process control on the imaging site, imaging angle, close-up accuracy, and image type. It automatically avoids problems such as missed shots, wrong shots, and non-standard imaging, and ensures that the imaging dimensions of the same disease and the same stage are consistent and the standards are uniform.

[0041] Step 4: Multi-source data binding and integrated storage archiving.

[0042] After all image acquisition is completed, the human-computer interaction data entry and storage module receives the patient information data, imaging equipment parameter configuration data, and calibrated oral imaging data entered by the user. Using a unique patient identifier association algorithm, the multi-source data is structurally bound and encapsulated to form complete case data units with a one-to-one correspondence between "patient information - treatment scenario - imaging parameters - standardized images." The system encrypts, stores, and archives the encapsulated case data, achieving traceable management of imaging data and completing a full standardized oral imaging-assisted workflow.

[0043] In summary, this invention can be adapted to the standardized image acquisition needs of four major clinical scenarios: complete denture restoration, anterior aesthetic restoration, posterior crown and bridge restoration, and orthodontic treatment. Through module linkage, algorithm calibration, rule scheduling, and data binding technology, it solves the technical defects of traditional oral imaging, such as the lack of unified standards, large angle deviations, chaotic processes, and lack of data traceability. It significantly improves the standardization, accuracy, and efficiency of clinical oral image acquisition and diagnosis and treatment archiving.

[0044] This embodiment also provides a computer device applicable to a standardized photographic assistance method for multi-scenario oral restoration orthodontics, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement all or part of the steps of the method described in the above embodiments of the present invention.

[0045] This embodiment also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, it performs the method in any optional implementation of the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0046] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0047] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A standardized photographic assistance system for multi-scenario oral restoration and orthodontics, characterized in that: include: The scene switching and matching module has a built-in database of preset logic tags for multiple diagnosis and treatment scenarios and corresponding standard shooting rules. It is used to receive external scene selection trigger signals, call the standardized shooting rule parameter package under the corresponding diagnosis and treatment scenario through the tag matching algorithm, dynamically switch the scene business logic, and transmit scene recognition signals. The image angle calibration processing module has a pre-stored dataset of standardized oral benchmark images for multiple scenarios and has embedded horizontal benchmark correction logic and vertical correction logic. It is used to receive oral image data streams transmitted by the shooting device in real time, perform overlapping comparison calculations between the real-time image pixel matrix and the pre-stored standard example pixel matrix, identify the image tilt angle, camera position offset and perspective distortion parameters through horizontal deviation recognition algorithm and vertical deviation recognition algorithm, generate visual correction auxiliary benchmark parameters based on the recognition results and send them back to the shooting interface to dynamically correct the camera position angle of the real shot; The standardized shooting rule scheduling module has a built-in full-scene structured shooting specification logic library. It is used to receive scene instructions issued by the scene switching and matching module, automatically retrieve the shooting specification logic sequence of the corresponding scene, output standardized shooting prompt logic one by one, and receive the image acquisition completion signal to determine whether the current shooting item meets the specification requirements. The human-computer interaction data entry and storage module is used to receive external parameter configuration instructions, patient information entry data and image acquisition data streams. It uses a patient unique identifier association algorithm to structurally bind and encapsulate patient identity information, treatment scenario type, shooting parameter configuration data and oral image data to generate structured case data units, and complete encrypted storage and archiving output.

2. The standardized photographic assistance system for multi-scenario oral restoration and orthodontics as described in claim 1, characterized in that: The diagnostic and treatment scenario logical tags include complete denture restoration scenario tags, anterior aesthetic restoration scenario tags, posterior crown and bridge restoration scenario tags, and orthodontic treatment scenario tags. Each scenario tag is associated with a corresponding standardized shooting rule parameter package. The standardized shooting rules include a list of shooting locations, shooting angle parameters, shooting distance parameters, and close-up acquisition standards for the corresponding scenario.

3. The standardized photographic assistance system for multi-scenario oral restoration and orthodontics as described in claim 1, characterized in that: The image angle calibration processing module also includes a horizontal reference correction logic that identifies and corrects the horizontal tilt of the image by superimposing a horizontal reference line on the real-time image and comparing it with the horizontal reference of the standard example image. The vertical correction logic identifies and corrects vertical offset in the image by overlaying a vertical reference line on the real-time image and comparing it with the vertical reference of the standard example image, thus ensuring that the camera angle and perspective relationship of the real-time acquired image are consistent with those of the standard example image.

4. The standardized photographic assistance system for multi-scenario oral restoration and orthodontics as described in claim 1, characterized in that: The structured imaging specification logic library includes: imaging entries for the preoperative assessment stage, imaging entries for the intraoperative evidence collection stage, imaging entries for the postoperative follow-up stage, and imaging entries for the auxiliary image acquisition stage, stored according to the diagnosis and treatment time sequence. Each imaging entry is associated with imaging angle constraint parameters, close-up acquisition standards, and image type matching rules.

5. The standardized photographic assistance system for multi-scenario oral restoration and orthodontics as described in claim 1, characterized in that: The human-computer interaction data input and storage module also includes: binding the identity information, treatment scenario type, shooting parameter configuration data and oral image data of the same patient one-to-one through the patient unique identifier association algorithm, forming a structured case data unit that associates patient information field, scenario type field, parameter configuration field and image data field, and performing multi-source data linkage transmission and traceable storage.

6. The standardized photographic assistance system for multi-scenario oral restoration and orthodontics as described in claim 1, characterized in that: The image angle calibration processing module further includes: during the process of receiving oral image data stream, calculating the tilt angle deviation value of the current captured image in real time; when the tilt angle deviation value exceeds the preset angle deviation threshold, generating a correction prompt signal; and displaying the correction auxiliary reference parameters in a visual overlay manner on the shooting preview interface to guide the operator to adjust the position of the shooting equipment until the deviation value falls within the allowable range.

7. A standardized photographic assistance method for multi-scenario orthodontic restoration, based on the standardized photographic assistance system for multi-scenario orthodontic restoration as described in any one of claims 1 to 6, characterized in that: include, Obtain information about the current oral treatment scenario, and match the corresponding photographic scheme from the pre-stored standardized photographic scheme library based on the scenario information. The photographic scheme includes shooting angle parameters, shooting location parameters, and image quality requirement parameters. Based on the shooting plan, real-time guidance instructions are generated on the shooting preview interface. The guidance instructions include angle indicator lines and target shooting area boundary markers. The system continuously monitors the current shooting angle and shooting distance of the shooting device, compares the current shooting angle with the shooting angle parameters in the shooting plan, and displays an angle correction prompt on the preview interface when the deviation exceeds the preset angle deviation threshold, and overlays the correction indicator on the preview screen. Perform image acquisition operations and conduct real-time quality assessments on the acquired oral images. The quality assessment includes sharpness detection, light uniformity detection, and oral structure coverage integrity detection. When the quality assessment results meet the image quality requirements, the images are classified and stored according to patient identification and scene type, and a photo record report containing the number of images, scene type, and acquisition time is generated.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the multi-scenario oral restoration orthodontic standardized photographic assistance system as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the multi-scenario oral restoration orthodontic standardized photographic assistance system as described in any one of claims 1 to 6.

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