System and method for automatically collecting and exporting operation site pictures

Abstract

The invention discloses a system and a method for automatically acquiring and exporting a work site picture, and the system comprises an acquisition and recognition platform which is used for adjusting the original camera parameters of equipment and starting a specific function so as to shoot a high-quality picture; the picture acquisition platform is used for calling the camera parameters and the specific functions set by the original camera of the equipment according to the acquisition and identification platform to perform operation site picture acquisition; the picture processing platform is used for performing one or more processing of compression, redundant part deletion and renaming on the operation site picture acquired by the picture acquisition platform, and displaying the processed operation site picture; and the picture exporting platform is used for exporting the operation site picture processed by the picture processing platform. Through the preset acquisition template and the automatic naming rule, standardization and high efficiency of image acquisition are realized, and the efficiency of image recording in multiple fields such as engineering construction, business handling, field operation and the like is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of image acquisition technology, and in particular to a system and method for automatically acquiring and exporting pictures of a work site. Background Art

[0002] In various accident analysis and construction management scenarios, the collection and application of work site pictures play a vital role. These pictures can show the geographical location, terrain features, traffic conditions, traces left by the accident, distribution of scattered objects or construction details of the accident or construction site in detail and intuitively. For accident analysis, such pictures are an indispensable basis for in-depth exploration of the cause of the accident, clear responsibility, accurate assessment of losses and reasonable claims. In the field of construction, realistic work site pictures have become a powerful tool for construction personnel to accurately grasp the key points and difficulties of construction, optimize construction plans, and strengthen safety production management. By integrating multiple resources such as videos, images, and data, the construction site is vividly presented in the form of pictures, which can not only effectively guide construction operations, reduce unnecessary actions, and improve work efficiency and construction quality, but also facilitate the application of action economy principles, such as reducing the number of actions, achieving two-handed parallel operation, shortening the action path, and reducing the intensity of work, thereby eliminating unreasonable, unstable and invalid actions, reducing operator fatigue, reducing the error rate of operation, and ensuring a smooth and efficient construction process.

[0003] Especially in the project briefing stage of engineering management, the value of the work site pictures is particularly prominent. The site photos provided by the designers provide the construction personnel with an intuitive and comprehensive understanding of the construction scene, which helps the construction personnel to quickly form an overall grasp of the project and scientifically plan the construction process. In addition, these pictures also assist the construction personnel to make more realistic judgments and decisions on key factors such as the project duration, actual entry time, management mode (such as Party A or general contractor), required equipment, waste disposal strategy, vertical transportation methods, etc.

[0004] However, the traditional method of collecting pictures on the job site has significant shortcomings. Specifically, this method relies on the on-site shooting of the picture acquisition equipment, followed by tedious manual classification and sorting of the pictures, and finally the sorted pictures are transmitted to the background system. This process not only increases the complexity and time cost of picture transmission, but also reduces the overall work efficiency, making it difficult to meet the urgent needs of modern accident analysis and construction management for efficient and accurate information processing. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a system and method for automatically collecting and exporting pictures of a work site, so as to improve the overall work efficiency and information management level.

[0006] In order to solve the above technical problems, the present invention provides a system for automatically collecting and exporting pictures of a work site, comprising:

[0007] The acquisition and recognition platform is used to adjust the original camera parameters of the device and enable specific functions to take high-quality photos;

[0008] The picture acquisition platform is used to retrieve the original camera of the equipment according to the camera parameters and specific functions set by the acquisition and recognition platform to collect pictures of the work site;

[0009] An image processing platform, used to perform one or more of the following processes on the work site images collected by the image collection platform: compression, deletion of redundant parts, and renaming, and displaying the processed work site images;

[0010] The picture exporting platform is used to export the work site pictures processed by the picture processing platform.

[0011] Preferably, the acquisition and identification platform further comprises:

[0012] Parameter setting module, used to set different shooting modes and adjust aperture, shutter speed, ISO sensitivity, and white balance parameters;

[0013] Lens focusing module, used to select the corresponding focusing mode for shooting;

[0014] Specific function module used to expand the shooting function to take photos in high-contrast scenes.

[0015] Preferably, the parameter setting module includes:

[0016] A photo mode unit, used to provide multiple photo modes for selection on the camera interface;

[0017] A resolution unit, used to provide resolution options for selection on a camera interface;

[0018] The exposure compensation unit is used to control the brightness of the photo by adjusting the exposure compensation.

[0019] Preferably, the picture acquisition platform further comprises:

[0020] The acquisition template module is used to set the acquisition template in advance and edit the images to be acquired;

[0021] Naming editing module, used to edit the image name in advance and automatically name it;

[0022] The sample classification module is used to collect and store picture samples in real time, automatically identify and classify the collected samples, and detect misclassified samples;

[0023] The sample correction module is used to correct the misclassified samples identified by the sample classifier and save the correction results as corrected samples.

[0024] Preferably, the image processing platform further comprises:

[0025] The processing module includes a compression unit, a deletion unit and a renaming unit, which are used to compress, delete and rename the pictures collected at the work site respectively;

[0026] The template editing module is used to edit the work site pictures before and after collection.

[0027] Preferably, the template editing module specifically includes:

[0028] New template unit, used to create and set picture template parameters and personalized elements according to user needs;

[0029] Template list unit, used to display and manage all image templates created by users;

[0030] Create a new picture unit to set the shooting parameters of the picture before shooting to optimize the shooting effect;

[0031] Picture list unit, used to display, browse, filter, sort and batch operate pictures collected at the work site;

[0032] The picture editing unit is used to edit the collected pictures, including cropping, rotating, adjusting colors and adding elements;

[0033] New folder unit, used to create folders according to job site or project requirements to organize and manage pictures;

[0034] The folder list unit is used to display, browse, and manage all folders created by the user and the images they contain.

[0035] Preferably, the picture export platform further includes:

[0036] Compression export module, used to compress the collected work site pictures;

[0037] The image transmission module is used to transmit the compressed images to the background.

[0038] The present invention also provides a method for automatically collecting and exporting pictures of a work site, comprising the following steps:

[0039] Adjust the original camera parameters of the device and enable specific functions through the acquisition and recognition platform to take high-quality photos;

[0040] The original camera of the equipment is retrieved through the picture acquisition platform to collect pictures of the work site according to the camera parameters and specific functions set by the acquisition and recognition platform;

[0041] Performing one or more of the following processes, namely, compressing, deleting redundant parts, and renaming, on the work site pictures collected by the picture collection platform through the picture processing platform, and displaying the processed work site pictures;

[0042] The work site pictures processed by the picture processing platform are exported through the picture export platform.

[0043] Preferably, the method further comprises: using a sample classification module to automatically identify and classify the collected samples, and correcting misclassified samples by a sample correction module.

[0044] Preferably, the method further comprises: editing the work site pictures before and after collection through a template editing module, including creating a new template, editing picture parameters, and creating a new folder.

[0045] The implementation of the present invention has the following beneficial effects: The present invention realizes the standardization and efficiency of image acquisition through pre-set acquisition templates and automatic naming rules, greatly improving the efficiency of image recording in multiple fields such as engineering construction, business processing, and on-site operations. During the acquisition process, photos are named as soon as they are taken, eliminating the tedious secondary sorting steps and reducing labor costs. At the same time, the system's built-in compression and export function effectively reduces the size of image files, facilitates the rapid transmission and storage of data, and provides great convenience for subsequent users' inquiries and reception. The present invention not only improves work efficiency, but also ensures the accuracy, integrity and traceability of image data, and provides strong technical support for on-site management, quality control, safety inspection and other links in various industries. It is an important tool for promoting digital and intelligent management. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 The present invention is a schematic diagram of the architecture of a system for automatically collecting and exporting pictures of a work site according to an embodiment of the present invention.

[0048] Figure 2 The figure is a schematic diagram of the architecture of the data collection and identification platform in the embodiment of the present invention.

[0049] Figure 3Schematic diagram of the architecture of the image acquisition platform in an embodiment of the present invention.

[0050] Figure 4 Schematic diagram of the architecture of the image processing platform in an embodiment of the present invention.

[0051] Figure 5 Schematic diagram of the architecture of the image export platform in an embodiment of the present invention.

[0052] Figure 6 The present invention is a flowchart of a method for automatically collecting and exporting work site pictures according to a second embodiment of the present invention.

[0053] Figure 7 Schematic diagram of the main interface in an embodiment of the present invention.

[0054] Figure 8 Schematic diagram of the data collection and file creation interface in an embodiment of the present invention.

[0055] Fig. 9 Schematic diagram of the acquisition template editing interface in an embodiment of the present invention.

[0056] Fig.10 Schematic diagram of the collection details editing interface in an embodiment of the present invention.

[0057] Fig.11 Schematic diagram of the data export compression interface in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The following descriptions of the embodiments are with reference to the accompanying drawings to illustrate specific embodiments in which the present invention can be implemented. In the description of the present invention, it should be understood that the terms "longitudinal", "length", "circumferential", "front", "rear", "left", "right", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention.

[0059] Please refer to Figure 1 As shown, an embodiment of the present invention provides a system for automatically collecting and exporting pictures of a work site, including:

[0060] The acquisition and recognition platform is used to adjust the original camera parameters of the device and enable specific functions to take high-quality photos;

[0061] The picture acquisition platform is used to retrieve the original camera of the equipment according to the camera parameters and specific functions set by the acquisition and recognition platform to collect pictures of the work site;

[0062] An image processing platform, used to perform one or more of the following processes on the work site images collected by the image collection platform: compression, deletion of redundant parts, and renaming, and displaying the processed work site images;

[0063] The picture export platform is used to export the work site pictures processed by the picture processing platform.

[0064] For details, please refer to Figure 2 As shown, the acquisition and recognition platform in the embodiment of the present invention integrates a parameter setting module, a lens focusing module and a specific function module, aiming to take high-quality, high-contrast photos through refined regulation and optimization.

[0065] The parameter setting module is the basis for taking high-quality photos. It provides a variety of shooting mode units, such as automatic mode, portrait mode, landscape mode, etc. Users can easily select the most suitable shooting mode on the camera interface according to the environment and needs of the job site. The automatic mode is suitable for most daily shooting scenes and can automatically adjust the parameters to obtain balanced exposure and color; the portrait mode emphasizes the skin color and details of the characters to make the characters more prominent; the landscape mode focuses on the breadth and depth of the picture to make the scenery more spectacular. The resolution unit allows users to select different resolutions for shooting according to actual needs. After finding the resolution option in the camera settings, users can choose high resolution to capture more details or low resolution to save storage space according to the requirements of the job site. The exposure compensation unit is the key to controlling the brightness of the photo. By adjusting the exposure compensation value, users can accurately control the exposure of the photo to make the picture brighter or darker, so as to achieve the ideal shooting effect. The parameter setting module not only provides manual adjustment options, but also has an intelligent recommendation function. According to the lighting conditions, shooting objects and motion status of the job site, the module can automatically recommend the optimal shooting mode and parameter settings to reduce the difficulty of user operation and improve shooting efficiency.

[0066] The lens focus module is responsible for ensuring that the photos taken are clear and sharp. It provides two focus modes: auto focus and manual focus to meet the needs of different shooting scenarios. Auto focus is suitable for quickly capturing dynamic scenes, and can quickly lock the focus and take clear photos; manual focus is suitable for scenes that require precise control of the focus position, such as macro photography or special composition. The lens focus module uses advanced focus algorithms to achieve fast and accurate focus in complex light and dynamic scenes. At the same time, the module also supports continuous focus function to ensure that every frame can remain clear when shooting continuous action or sports scenes.

[0067] The specific function module is the innovation of the acquisition and recognition platform. It uses the HDR (high dynamic range) mode to take photos in high-contrast scenes, and synthesizes multiple photos with different exposures to make the picture brighter, more vivid, and more detailed. Whether it is backlit shooting or details in the shadows, they can be presented clearly. At the same time, the specific function module also turns on the Live Photos function. This function can capture the moments before and after the photo is taken, recording the vivid moments behind the photo. When users view the photos, they can not only see the static image, but also feel the dynamic effect when the photo was taken, making the photos more vivid and interesting. The specific function module is not limited to the HDR and Live Photos functions, but can also be expanded according to user needs. For example, add a night scene mode to take clear photos in low-light environments, or add a panoramic mode to capture a wider field of view. These extended functions further enhance the practicality and flexibility of the acquisition and recognition platform.

[0068] Please refer to Figure 3 As shown, in the embodiment of the present invention, the picture acquisition platform includes a collection template module, a naming and editing module, a picture acquisition module, a sample classification module and a sample correction module, which can realize efficient and accurate picture acquisition and processing flow, and provide strong technical support for the picture acquisition work at the work site. The specific description is as follows:

[0069] The acquisition template module is the starting point for image acquisition. It allows users to set acquisition templates in advance according to actual needs. These templates include shooting angles, composition rules, color preferences, etc., to ensure that each shot can obtain pictures that meet the standards. In addition, the module also supports pre-editing of specific images that need to be collected, such as cropping, rotating, adjusting brightness, etc., to optimize the shooting effect. Users can select existing templates in the template library, or customize new templates according to the characteristics of the work site to improve the flexibility and efficiency of acquisition. The acquisition template module not only supports manual setting of templates, but also has an intelligent recommendation function. Based on the user's shooting history and preferences, the module can automatically recommend the most suitable acquisition template and editing parameters to improve shooting efficiency and quality.

[0070] The naming and editing module is responsible for generating unique and meaningful names for each image. Users can edit the image names in advance before shooting, and the module will automatically name the captured images according to preset rules. These rules can include date, time, location, photographer information, etc., which is convenient for subsequent image management and retrieval. At the same time, the module also supports batch naming, which is particularly efficient for processing a large number of images. The naming and editing module supports multiple naming rules and custom rules, and users can flexibly adjust them according to actual needs. At the same time, the module also supports previewing and modifying the naming results to ensure that the name of each image meets user expectations.

[0071] The picture acquisition module is the core part of picture acquisition. It is responsible for calling the original camera of the device for shooting. The module is deeply integrated with the device camera API, and can make full use of the various functions of the camera, such as autofocus, continuous shooting, HDR, etc., to ensure high-quality pictures. At the same time, the module also supports real-time preview function. Users can adjust shooting parameters through the preview interface before shooting to ensure that the shooting effect meets the requirements. The picture acquisition module adopts optimized shooting algorithms and processes, which can significantly improve the shooting speed and stability. At the same time, the module also supports a variety of shooting modes and special effects, such as night scene mode, portrait mode, filters, etc., to enrich the shooting effect.

[0072] The sample classification module is responsible for real-time collection and storage of image samples, and automatically identifies and classifies the collected samples. The module uses advanced machine learning algorithms to accurately identify samples of different categories, such as people, scenery, objects, etc. For misclassified samples, the module can automatically detect and mark them, providing convenience for subsequent correction. In addition, the module also supports statistical analysis of classification results to help users understand the situation at the shooting site and optimize shooting strategies. The sample classification module uses advanced deep learning algorithms and big data training models to accurately identify samples of various categories. At the same time, the module also supports manual review and correction of classification results to ensure the accuracy and reliability of classification.

[0073] The sample correction module is a key part for correcting misclassified samples. It corrects the misclassified samples one by one according to the misclassification information provided by the sample classification module. The correction process may include reclassification, modifying labels, deleting erroneous samples, etc. After the correction is completed, the module will save the correction results as corrected samples and update them to the sample library to improve the accuracy and efficiency of subsequent classification. At the same time, the module also supports recording and analyzing the correction process to help users understand the reasons for misclassification and avoid similar errors from happening again. The sample correction module uses automated correction processes and technologies to quickly and accurately correct misclassified samples. At the same time, the module also supports automatic verification and feedback of the correction results to ensure the accuracy and effectiveness of the correction.

[0074] Please refer to Figure 4 As shown, in an embodiment of the present invention, the image processing platform includes a processing module and a template editing module. The processing module processes the collected work site images, and the template editing module edits the work site images before and after collection, thereby realizing comprehensive and efficient management of the work site images.

[0075] The processing module is the core of the image processing platform, responsible for a series of processing operations on the collected work site images. The processing module supports parallel processing of multiple image files and uses multi-threading technology or distributed computing technology to improve the speed and efficiency of image processing. It further includes compression unit, deletion unit and renaming unit:

[0076] The compression unit uses advanced image compression algorithms, such as JPEG, PNG and other formats, to compress the images collected at the work site. Users can choose different compression ratios as needed to balance image quality and file size. During the compression process, the unit will ensure that the key information of the image is not lost and maintain the clarity and recognition of the image.

[0077] The deletion unit provides a convenient deletion function, allowing users to select and delete unnecessary work site pictures as needed. To prevent accidental deletion, the unit will provide steps to confirm the deletion and provide a backup prompt before deletion to ensure data security.

[0078] The renaming unit allows users to rename pictures collected at the work site in batches or individually. Users can name pictures according to preset rules, such as date, location, event, etc., to facilitate subsequent management and retrieval. At the same time, the unit also supports customizing naming rules to meet different naming needs.

[0079] The template editing module is an important part of the image processing platform, providing rich editing functions to ensure the quality and effect of the pictures at the work site. The template editing module intelligently recommends commonly used templates, parameters and editing operations based on the user's editing history and preferences to improve the user's editing efficiency. At the same time, the module can also automatically adjust the editing parameters according to the content and characteristics of the picture to obtain better editing effects. The template editing module further includes a new template unit, a template list unit, a new picture unit, a picture list unit, a picture editing unit, a new folder unit and a folder list unit:

[0080] The new template unit allows users to create new image templates based on the characteristics and needs of the job site. Users can set parameters such as template size, resolution, color mode, and add elements such as watermarks and frames to meet specific shooting and display needs.

[0081] The template list unit displays all the image templates created by the user in an intuitive way. Users can quickly find and select the appropriate template to use by browsing the list. At the same time, the unit also supports sorting, categorizing and searching of templates to improve the efficiency of template search.

[0082] The new picture unit provides the function of establishing picture parameters, allowing users to set the shooting parameters of the picture before shooting, such as exposure, white balance, focus, etc. These parameters will directly affect the shooting effect, so the unit will provide detailed parameter descriptions and recommended values ​​to help users obtain ideal shooting results.

[0083] The picture list unit displays all the pictures collected at the work site in the form of thumbnails or detailed lists. Users can quickly check the content and quality of the pictures by browsing the list, and filter, sort and search the pictures. At the same time, the unit also supports batch operations on pictures, such as exporting and printing.

[0084] The picture editing unit is the core part of the template editing module, providing rich picture editing functions, such as cropping, rotating, adjusting brightness, contrast, saturation, etc. Users can perform refined editing on the pictures collected at the work site through simple drag and click operations to obtain better visual effects. At the same time, the unit also supports adding elements such as text, stickers, filters, etc. to enhance the expressiveness and fun of the pictures.

[0085] The New Folder unit allows users to create new folders to organize and manage images based on the needs of the job site or project. Users can set the folder's name, location and other properties, and drag related images into the folder for classification. This helps keep images neat and organized, improving work efficiency.

[0086] The folder list unit displays all folders created by the user and the pictures they contain in a tree structure or list. Users can quickly find and access the required folders and pictures by browsing the list. At the same time, the unit also supports operations such as renaming, moving, and deleting folders to meet different management needs.

[0087] like Figure 5 As shown, in the embodiment of the present invention, the image export platform includes a compression export module and an image transmission module.

[0088] The compression export module compresses the collected work site pictures to reduce the file size and improve transmission efficiency. The compression export module uses advanced intelligent compression algorithms, such as JPEG compression based on discrete cosine transform (DCT) and PNG format based on lossless compression, to automatically select the optimal compression strategy according to the content and type of the picture. The algorithm minimizes the file size while ensuring the quality of the picture. In order to meet the needs of different application scenarios, the compression export module provides a resolution adjustment function. Users can choose to reduce the resolution of the picture as needed to further reduce the file size while maintaining sufficient clarity for subsequent use. The compression export module has built-in color optimization technology to improve the visual effect of the picture by adjusting the color saturation, brightness, contrast and other parameters of the picture. During the compression process, these optimization measures help to maintain the color accuracy and vividness of the picture. In order to improve work efficiency, the compression export module supports batch processing. Users can select multiple work site pictures for compression at one time, and the module will automatically process each picture according to the set parameters and strategies, saving users' time and energy.

[0089] The image transmission module is responsible for transmitting the compressed images to the backend server or the designated storage location safely and efficiently. It uses advanced encryption technology, such as SSL / TLS protocol, to encrypt the data during the transmission process. At the same time, for the situation of network instability or transmission interruption, the image transmission module supports breakpoint resume function. When the transmission process is interrupted, the user can choose to continue to transmit the unfinished part without restarting the entire transmission process, which greatly improves the reliability and efficiency of the transmission.

[0090] Please refer to Figure 6 As shown, corresponding to the aforementioned embodiment 1 of the present invention, a system for automatically collecting and exporting pictures of a work site, embodiment 2 of the present invention provides a method for automatically collecting and exporting pictures of a work site, including the following steps:

[0091] Adjust the original camera parameters of the device and enable specific functions through the acquisition and recognition platform to take high-quality photos;

[0092] The original camera of the equipment is retrieved through the picture acquisition platform to collect pictures of the work site according to the camera parameters and specific functions set by the acquisition and recognition platform;

[0093] Performing one or more of the following processes, namely, compressing, deleting redundant parts, and renaming, on the work site pictures collected by the picture collection platform through the picture processing platform, and displaying the processed work site pictures;

[0094] The work site pictures processed by the picture processing platform are exported through the picture export platform.

[0095] Please combine Figure 7-Figure 11As shown, the specific process is as follows:

[0096] 1. Collection template design and creation

[0097] Create a new collection project: In the main interface, the user clicks the "New Folder" button, enters the project name (such as "Work Site_XX Project" or "User XX_Daily Inspection"), and creates a new collection project folder.

[0098] Design collection template: In the project folder, users can freely add collection items, each of which corresponds to an expected image collection point. For example, for a work site, it may include "safety exit sign", "equipment operation status", "operator protective equipment", etc. Each collection item needs to be edited in advance with a detailed description to ensure that it is not easy to be missed during collection.

[0099] Detailed editing and naming rules: Set a unique identifier for each collection item as the prefix of the photo name, such as "001_Safety Exit Sign". The system should support user-defined naming rules to ensure the accuracy of subsequent automatic naming.

[0100] 3. Image acquisition and automatic naming

[0101] Start collection: The user selects the created collection project, and the application automatically loads the corresponding collection template.

[0102] Original camera call: The user clicks the collection items in sequence according to the template order, and the application automatically calls the original camera of the device to take pictures, ensuring that the pictures are in the original uncompressed format and retain the highest image quality.

[0103] Automatic naming: After shooting, the system automatically adds a prefix and serial number to each photo according to the preset naming rules, such as "001_Safety Exit Sign_20230401_001.jpg", so that you can name the photos immediately after shooting without the need for manual sorting.

[0104] 4. Image compression and export

[0105] Image compression: After all the collection is completed, the user selects the "Export" function, and the application's built-in image compression algorithm automatically compresses all photos appropriately, ensuring that the image clarity meets the usage requirements while greatly reducing the file size for quick transmission.

[0106] Export format and path: Supports multiple export formats (such as ZIP, RAR), users can choose according to their needs. When exporting, the system automatically generates a compressed package containing the project name, date and all photos, and can choose to save it locally on the device or share it directly through email, cloud disk, etc.

[0107] For the working principle of this embodiment, please refer to the description of the aforementioned embodiment 1 of the present invention, which will not be repeated here.

[0108] Compared with the prior art, the beneficial effect brought by the embodiments of the present invention is that the present invention realizes the standardization and efficiency of image acquisition through pre-set acquisition templates and automatic naming rules, greatly improving the efficiency of image recording in multiple fields such as engineering construction, business processing, and on-site operations. During the acquisition process, photos are named as soon as they are taken, eliminating the tedious secondary sorting steps and reducing labor costs. At the same time, the system's built-in compression and export function effectively reduces the size of image files, facilitates the rapid transmission and storage of data, and provides great convenience for subsequent users to query and receive. The present invention not only improves work efficiency, but also ensures the accuracy, integrity and traceability of image data, and provides strong technical support for on-site management, quality control, safety inspection and other links in various industries. It is an important tool for promoting digital and intelligent management.

[0109] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A system for automatically collecting and exporting pictures of work sites, characterized in that: include: The acquisition and recognition platform is used to adjust the original camera parameters of the device and enable specific functions to take high-quality photos; The picture acquisition platform is used to retrieve the original camera of the equipment according to the camera parameters and specific functions set by the acquisition and recognition platform to collect pictures of the work site; An image processing platform, used to perform one or more of the following processes on the work site images collected by the image collection platform: compression, deletion of redundant parts, and renaming, and displaying the processed work site images; The picture export platform is used to export the work site pictures processed by the picture processing platform.

2. The system according to claim 1, characterized in that The acquisition and identification platform further includes: Parameter setting module, used to set different shooting modes and adjust aperture, shutter speed, ISO sensitivity, and white balance parameters; Lens focusing module, used to select the corresponding focusing mode for shooting; Specific function module used to expand the shooting function to take photos in high-contrast scenes.

3. The system according to claim 2, characterized in that The parameter setting module includes: A photo mode unit, used to provide multiple photo modes for selection on the camera interface; A resolution unit, used to provide resolution options for selection on a camera interface; The exposure compensation unit is used to control the brightness of the photo by adjusting the exposure compensation.

4. The system according to claim 1, characterized in that The picture acquisition platform further includes: The acquisition template module is used to set the acquisition template in advance and edit the images to be acquired; Naming editing module, used to edit the image name in advance and automatically name it; The sample classification module is used to collect and store picture samples in real time, automatically identify and classify the collected samples, and detect misclassified samples; The sample correction module is used to correct the misclassified samples identified by the sample classifier and save the correction results as corrected samples.

5. The system according to claim 1, characterized in that The image processing platform further comprises: The processing module includes a compression unit, a deletion unit and a renaming unit, which are used to compress, delete and rename the pictures collected at the work site respectively; The template editing module is used to edit the work site pictures before and after collection.

6. The system according to claim 5, characterized in that The template editing module specifically includes: New template unit, used to create and set picture template parameters and personalized elements according to user needs; Template list unit, used to display and manage all image templates created by users; Create a new picture unit to set the shooting parameters of the picture before shooting to optimize the shooting effect; Picture list unit, used to display, browse, filter, sort and batch operate pictures collected at the work site; The picture editing unit is used to edit the collected pictures, including cropping, rotating, adjusting colors and adding elements; New folder unit, used to create folders according to job site or project requirements to organize and manage pictures; The folder list unit is used to display, browse, and manage all folders created by the user and the images they contain.

7. The system according to claim 1, characterized in that The image export platform further includes: Compression export module, used to compress the collected work site pictures; The image transmission module is used to transmit the compressed images to the background.

8. A method for automatically collecting and exporting pictures of a work site, characterized in that: The following steps are involved: Adjust the original camera parameters of the device and enable specific functions through the acquisition and recognition platform to take high-quality photos; The original camera of the equipment is retrieved through the picture acquisition platform to collect pictures of the work site according to the camera parameters and specific functions set by the acquisition and recognition platform; Performing one or more of the following processes, namely, compressing, deleting redundant parts, and renaming, on the work site pictures collected by the picture collection platform through the picture processing platform, and displaying the processed work site pictures; The work site pictures processed by the picture processing platform are exported through the picture export platform.

9. The method according to claim 8, characterized in that Also includes: The sample classification module is used to automatically identify and classify the collected samples, and the sample correction module is used to correct the misclassified samples.

10. The method according to claim 8, characterized in that Also includes: The template editing module can be used to edit the work site pictures before and after collection, including creating new templates, editing picture parameters, and creating new folders.

Images