Vehicle damage assessment method, device, electronic device and storage medium

Abstract

The present invention provides a vehicle damage assessment method, device, electronic device and storage medium, and relates to the technical field of vehicle insurance damage assessment. The vehicle damage assessment method comprises the following steps: establishing a first damage list according to a damage image; rearranging the order of each damaged component in the first damage list according to the assembly to which each damaged component belongs and generating corresponding parts groups for all damaged components belonging to the same assembly to obtain a second damage list; rearranging the order of each parts group in the second damage list according to the position of each assembly so that two adjacent assemblies are arranged in sequence to obtain a third damage list; generating a shooting instruction and acquiring a damage image according to the order of each parts group in the third damage list. The vehicle damage assessment method of the present invention solves the problem of affecting the damage assessment efficiency in the traditional damage assessment scheme due to the disorderly arrangement of the damaged parts list by some damage assessors, thereby achieving the effect of improving the damage assessment efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle insurance damage assessment, and in particular to a vehicle damage assessment method, device, electronic equipment and storage medium. Background Art

[0002] In existing vehicle damage assessment schemes, it is usually necessary for the assessor to inspect the damaged parts of the vehicle from the outside or by disassembling it and list them in a list. The assessor then takes photos of each damaged part according to the list to collect evidence, and finally sends the list and photos to the insurance company. However, the professional experience of different assessors is difficult to unify, so that some less experienced assessors often list all the damaged parts in a disorderly manner on the list. When the assessor takes photos of each damaged part according to the order of the list, the assessor runs back and forth around the car body, which leads to low damage assessment efficiency or increases the difficulty of verification and confirmation.

[0003] There is currently no effective technical solution to the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a vehicle damage assessment method, device, electronic device and storage medium, which solves the problem in traditional damage assessment schemes that some damage assessors do not arrange the damaged parts list in order, thereby improving the damage assessment efficiency.

[0005] In a first aspect, the present invention provides a vehicle damage assessment method, comprising the following steps:

[0006] S1. Establishing a first damaged list according to the damage image of the damaged vehicle; the first damaged list includes a plurality of damaged parts;

[0007] S2. re-arrange the order of each damaged component in the first damaged list according to the assembly to which each damaged component belongs and generate a corresponding component group with all the damaged components belonging to the same assembly to obtain a second damaged list;

[0008] S3. Rearrange the order of each of the parts groups in the second damaged list according to the position of each of the assemblies so that two adjacent assemblies are arranged in sequence to obtain a third damaged list;

[0009] S4. Generate a shooting instruction according to the order of each of the parts groups in the third damaged list, and acquire a damage image of each of the damaged parts according to the shooting instruction.

[0010] The vehicle damage assessment method provided by the present invention utilizes the correlation between damaged parts to adjust their listing order, so as to help the damage assessor complete the damage assessment work more efficiently.

[0011] Furthermore, the specific steps in step S1 include:

[0012] S1A1. Determine the damaged parts according to the damage image of the damaged vehicle;

[0013] S1A2. Based on a preset database, obtaining a possibly damaged part adjacent to the definitely damaged part according to the definitely damaged part;

[0014] S1A3. All the parts that are bound to be damaged and all the parts that are likely to be damaged are regarded as damaged parts and listed in the first damaged list.

[0015] By combining image analysis and database query, damaged parts can be determined more objectively and comprehensively, taking into account potential damage risks, thereby more comprehensively and accurately determining damaged parts and quickly generating a comprehensive damage list.

[0016] Furthermore, the specific steps in step S3 include:

[0017] S3A1. Based on the second damaged list, among the two adjacent assemblies, the parts group corresponding to the first disassembled assembly is arranged before the parts group corresponding to the later disassembled assembly, so as to obtain the third damaged list.

[0018] Appraisers can inspect and take photos in an optimized order, reducing unnecessary walking back and forth and saving time. At the same time, by inspecting in the order of disassembly, hidden damage can be more easily discovered and important information can be avoided from being missed.

[0019] Furthermore, the following steps are included between step S3 and step S4:

[0020] S5A1. The first disassembled assembly corresponding to the parts group as the first target object;

[0021] S5A2. Acquire all damage images of the first target object, and calculate a first preliminary damage assessment quotation based on the damage images of the first target object.

[0022] It meets the needs of car owners to quickly understand the repair costs, and also provides a more efficient workflow for insurance companies and repair shops.

[0023] Furthermore, the specific steps in step S3 include:

[0024] S3B1. Based on the second damaged list, among the two adjacent assemblies, the parts group corresponding to the assembly located on one side of the vehicle bottom is arranged after the parts group corresponding to the assembly not located on the one side of the vehicle bottom, so as to obtain the third damaged list.

[0025] Furthermore, the following steps are included between step S3 and step S4:

[0026] S5B1. The parts group corresponding to the assembly part not located on one side of the bottom of the vehicle is used as the second target object;

[0027] S5B2. Acquire all damage images of the second target object, and calculate a second preliminary damage assessment quotation based on the damage images of the second target object.

[0028] Furthermore, the specific steps in step S4 include:

[0029] S41. After generating the shooting instruction, obtaining continuous video of each of the parts groups according to the shooting instruction;

[0030] S42. Acquire damage images of each damaged component according to the continuous video.

[0031] In a second aspect, the present invention provides a vehicle damage assessment device, comprising:

[0032] A list creation module is used to create a first damage list according to the damage image of the damaged vehicle; the first damage list includes a plurality of damaged parts;

[0033] A first arrangement module is used to re-arrange the order of each damaged component in the first damaged list according to the assembly to which each damaged component belongs and generate a corresponding component group with all the damaged components belonging to the same assembly to obtain a second damaged list;

[0034] A second arrangement module is used to rearrange the order of each of the parts groups in the second damaged list according to the positions of each of the assembly parts so that two adjacent assembly parts are arranged in sequence to obtain a third damaged list;

[0035] The shooting module is used to generate shooting instructions according to the order of each of the parts groups in the third damaged list, and obtain damage images of each of the damaged parts according to the shooting instructions.

[0036] The vehicle damage assessment device provided by the present invention saves time, reduces the possibility of missing important information, reduces the reliance on personal experience, and reduces misunderstandings and additional communication costs caused by unclear information or chaotic sorting.

[0037] In a third aspect, the present invention provides an electronic device comprising a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the vehicle damage assessment method provided in the first aspect are executed.

[0038] In a fourth aspect, 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, the steps in the vehicle damage assessment method provided in the first aspect are performed.

[0039] From the above, it can be seen that the vehicle damage assessment method provided by the present invention arranges the order of damaged parts on the list according to the correlation between the damaged parts, thereby improving the consistency of photographing and collecting evidence and verifying and confirming, thereby helping the damage assessor to reduce unnecessary running around and achieving the effect of improving the efficiency of damage assessment.

[0040] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or be understood by implementing the embodiments of the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flow chart of a vehicle damage assessment method provided in an embodiment of the present invention.

[0042] Figure 2 It is a schematic diagram of the arrangement of the first damaged list, the second damaged list and the third damaged list in an embodiment of the present invention.

[0043] Figure 3 A schematic diagram of the structure of a vehicle damage assessment device provided in an embodiment of the present invention.

[0044] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0045] Description of labels:

[0046] 100, list building module; 200, first arrangement module; 300, second arrangement module; 400, shooting module; 500, quick quotation module; 13, electronic device; 1301, processor; 1302, memory; 1303, communication bus. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0048] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0049] With the rapid development of automobile insurance business, vehicle damage assessment has become a key link. The early damage assessment process mainly relied on the experience and manual operation of the damage assessor, which was inefficient and prone to errors. With the advancement of digital technology, electronic equipment and software systems have begun to be introduced into the damage assessment process, but there are still some problems.

[0050] At present, vehicle damage assessment usually requires the assessor to inspect the damaged parts of the vehicle from the outside or by disassembling it, and then list them in a list. Then, the assessor takes photos of each damaged part based on the list to collect evidence, and finally sends the list and photos to the insurance company. However, this method has some obvious flaws.

[0051] Take a typical vehicle damage assessment scenario as an example: a car was damaged in a traffic accident, and the front bumper, headlights, hood, and right front fender were all damaged to varying degrees. After the damage assessor arrived at the scene, he first conducted a comprehensive inspection of the vehicle and then began to record the damaged parts. Due to the lack of standardized processes, the professional experience and working methods of different damage assessors may vary greatly. Some inexperienced damage assessors may list all the damaged parts in a disorderly manner, such as recording the headlights first, then the hood, then the right front fender, and finally the front bumper.

[0052] When the damage assessors take photos of each damaged part according to this disordered list order, they will run back and forth around the car body. This back and forth running not only wastes time and energy, but may also cause some damaged parts to be missed or photographed repeatedly. In addition, this disordered recording and photographing method also makes subsequent verification and confirmation difficult. When reviewing the damage assessment report, the insurance company may need to spend more time to understand and verify the location and degree of damage of each damaged part because the order of the photos is not consistent with the vehicle structure.

[0053] To solve the above problems, refer to the attached Figure 1 and attached Figure 2 The present invention provides a vehicle damage assessment method, comprising the following steps:

[0054] S1. Establishing a first damaged list according to the damaged image of the damaged vehicle; the first damaged list includes a plurality of damaged parts;

[0055] S2. re-arrange the order of each damaged component in the first damaged list according to the assembly to which each damaged component belongs and generate a corresponding component group with all damaged components belonging to the same assembly to obtain a second damaged list;

[0056] S3. Rearrange the order of each component group in the second damaged list according to the position of each assembly component (ie, the installation position of the assembly component on the vehicle of the corresponding model) so that two adjacent assembly components are arranged in sequence to obtain a third damaged list;

[0057] S4. Generate a shooting instruction according to the order of each component group in the third damaged list, and obtain a damage image of each damaged component according to the shooting instruction.

[0058] In a specific embodiment, suppose a car is involved in a frontal collision. When the damage assessor arrives at the scene, he or she first uses a smartphone to take photos of the overall damage to the vehicle. The system analyzes these photos using image recognition technology and automatically generates a first damage list, including damaged parts such as the front bumper, left headlight, right headlight, hood, and radiator grille.

[0059] Next, the system groups the parts belonging to the same assembly together according to the preset vehicle model database. For example, the front bumper, bumper bracket and bumper trim are classified as the "front bumper group"; the left and right headlights are classified as the "front lighting group"; the hood and hood hinges are classified as the "hood group". In this way, the system generates a second damaged list that includes these parts groups.

[0060] For example, the order of damaged parts in the first damaged list is: c3, c1, a1, b1, a2, c2, b2, among which a1 and a2 belong to assembly part A, b1 and b2 belong to assembly part B, and c1, c2, c3 belong to assembly part C. Therefore, the order of the re-arranged second damaged list can be: c3, c1, c2, a1, a2, b1, b2; it can also be: a1, a2, b1, b2, c1, c2, c3, but not limited to this.

[0061] Then, the system considers the structural characteristics of the vehicle and re-arranges the components according to their positional relationships. In this case, the possible order is: front bumper assembly, front lighting assembly, hood assembly, radiator grille assembly. This order takes into account the disassembly order from the outside to the inside of the vehicle (not limited to this, it can also be from left to right, from top to bottom, etc.), forming the third damaged list.

[0062] For example, assembly part A is adjacent to assembly part B, and assembly part B is adjacent to assembly part C. The corresponding order of parts group A, parts group B, and parts group C can be: parts group A, parts group B, parts group C, or: parts group C, parts group B, parts group A.

[0063] Finally, the system generates shooting instructions based on the third damage list. The damage assessor takes pictures in this order: first take pictures of all parts of the front bumper group, then the front lighting group, then the hood group, and finally the radiator grille group. This orderly shooting method ensures the efficiency and integrity of the damage assessment process.

[0064] Compared with the traditional damage assessment method, the method of the present invention has the following significant advantages:

[0065] First, by grouping parts by assembly and sorting them according to their positional relationships, the damage assessor can inspect and photograph along the optimal path, reducing unnecessary movement. This not only saves time, but also reduces the possibility of missing important information.

[0066] Secondly, it also improves the accuracy and consistency of damage assessment. Through standardized processes and the assistance of intelligent systems, it reduces the reliance on personal experience, making the work results of different damage assessors more consistent and comparable.

[0067] Third, it also facilitates subsequent verification and confirmation work. Since the damaged parts are arranged in order according to the vehicle structure and disassembly sequence, the insurance company can more quickly understand and verify the location and degree of damage of each damaged part when reviewing the damage assessment report. This not only improves the efficiency of verification, but also reduces misunderstandings and additional communication costs caused by unclear information or chaotic sorting.

[0068] In some embodiments, the specific steps in step S1 include:

[0069] S1A1. Determine the damaged parts based on the damage image of the damaged vehicle;

[0070] S1A2. Based on a preset database, obtain the possible damaged parts adjacent to the definitely damaged parts according to the definitely damaged parts;

[0071] S1A3. All parts that are bound to be damaged and all parts that are likely to be damaged are regarded as damaged parts and listed in the first damaged list.

[0072] In the specific implementation process, the identification of damaged parts can be achieved in a variety of ways. For example, computer vision technology can be used to analyze the damage images of the damaged vehicle to identify parts that are obviously deformed, damaged or detached. Another method is to use a deep learning model to train a large number of labeled vehicle damage images so that the system can automatically identify various types of vehicle damage.

[0073] In the process of obtaining potentially damaged parts, the preset database plays a key role. This database can be built based on the vehicle's structural design and historical maintenance data. For example, when the front bumper is determined to be a damaged part, the database will prompt to check the headlights, front fenders and other parts connected to it. The design of the database can take into account the characteristics of different models, and even adjust the inspection scope of adjacent parts according to the type and severity of the collision.

[0074] This method can significantly improve the accuracy and efficiency of damage assessment in practical applications. For example, in a frontal collision accident, the system first identifies the front bumper and headlights as damaged parts through image analysis. Then, based on database analysis, the system recommends checking possible damaged parts such as the front fender, radiator and anti-collision beam. In this way, the damage assessor can comprehensively assess the damage to the vehicle and avoid missing potential problems.

[0075] The traditional damage assessment process relies on the professional experience of the damage assessor, and the damage assessment price is greatly affected by human factors. The disorderly evidence collection method is more likely to lead to the omission of photos of certain damaged parts, thereby affecting the damage assessment price, or causing the damage assessor to repeatedly check to avoid omissions, thereby affecting the damage assessment efficiency. The method of the present invention solves the above problems very well. Compared with the traditional method that relies entirely on the experience of the damage assessor, the scheme of the present invention can determine the damaged parts in a more systematic and standardized manner. This not only improves the accuracy of damage assessment, but also reduces misjudgments caused by lack of experience. At the same time, due to the use of a preset database and intelligent analysis, this method can not only quickly identify obviously damaged parts, but also take into account potential damage risks, thereby more comprehensively and accurately determining damaged parts, and quickly generating a comprehensive damage list, greatly improving the efficiency of damage assessment.

[0076] Specifically, suppose a car has a frontal collision. The system first analyzes the front and side damage images of the vehicle and identifies that the front bumper is severely deformed and the left front headlight is broken. These two parts are determined to be damaged. Then, the system queries the preset database and finds that the parts adjacent to the front bumper and the left front headlight include the front fender, radiator grille, engine hood and anti-collision beam. The system lists these parts as possible damaged parts. Finally, the system generates a first damage list containing all these parts for subsequent inspection and photography.

[0077] Compared with the prior art, the traditional method mainly relies on the experience of the damage assessor and is easily affected by subjective factors, which may lead to missed inspections or excessive inspections. The present invention, by combining image analysis and database query, can more objectively and comprehensively determine the damaged parts. At the same time, the method of the present invention is more reliable than simple image recognition technology because it takes into account the relevance of the vehicle structure and can identify potential damage that is difficult to detect with the naked eye. This method not only improves the accuracy and efficiency of damage assessment, but also provides a more reliable basis for subsequent repairs and claims.

[0078] In some embodiments, the specific steps in step S1 include:

[0079] S1B1. Six basic views of the damaged vehicle are taken as damage images of the damaged vehicle;

[0080] S1B2. Analyze the damaged position of the damaged vehicle according to the damaged image of the damaged vehicle;

[0081] S1B3. Search the corresponding historical damage list from the preset database according to the damaged location;

[0082] S1B4. Integrate all historical damage assessment lists obtained through the search to obtain the first damaged list.

[0083] In this embodiment, the six basic views include the front view, rear view, left view, right view, top view and bottom view of the damaged vehicle. These views provide comprehensive information about the damage to the vehicle and lay the foundation for subsequent analysis. A high-resolution camera can be used during shooting to ensure image clarity for subsequent analysis.

[0084] When analyzing the location of damage based on damage images, image recognition technology, such as deep learning algorithms, can be used to automatically identify and mark damaged areas. This not only improves analysis efficiency, but also reduces human misjudgment. The system can match the recognition results with the vehicle structure diagram to accurately locate the damaged area.

[0085] When searching the historical damage assessment list, the system will retrieve similar cases from the preset database based on the identified damaged location. This database should contain a large number of historical damage assessment records, classified by multiple dimensions such as vehicle model, damaged part, and accident type. The search algorithm can use multi-factor weight matching to ensure the relevance and accuracy of the search results.

[0086] When integrating historical damage lists, the system will intelligently filter and merge search results. Statistical analysis methods, such as frequency analysis and clustering algorithms, can be used to identify the most common and most likely damaged parts. At the same time, the system will also consider the particularity of the current case and adjust the list content appropriately.

[0087] This method works well with the previous steps. Through standardized image acquisition and analysis processes, a reliable data foundation is provided for the subsequent grouping and sorting of parts. At the same time, the use of historical data to build a preliminary list provides a reference for subsequent arrangement and optimization, effectively improving the efficiency and accuracy of the entire damage assessment process.

[0088] Specifically, suppose a car has a frontal collision. The damage assessor first takes six basic views of the vehicle. The image analysis system identifies damage to the front bumper, headlights, hood, etc. The system then retrieves similar frontal collision cases from the database and obtains a list of potentially damaged parts. After integration, the system generates a preliminary damage list of parts including the front bumper, headlights, hood, radiator, front longitudinal beam, etc. This list provides clear guidance for subsequent detailed inspections and damage assessments.

[0089] Compared with the traditional manual judgment method, the technical solution of the present invention has significant advantages. First, it greatly improves the efficiency of damage assessment. Through standardized image acquisition and automated analysis process, the time of manual judgment is greatly reduced. Secondly, it improves the accuracy of damage assessment. The use of historical data and intelligent analysis can more comprehensively identify potential damaged parts and reduce omissions. Furthermore, it provides a more objective basis for damage assessment. The analysis results based on big data and algorithms reduce the subjectivity caused by differences in personal experience. Finally, this method also has good scalability and learning ability. With the continuous enrichment of the database and the optimization of the algorithm, the performance of the system will get better and better. In this way, it is helpful to lay a solid foundation for the subsequent damage assessment process and significantly improve the efficiency and accuracy of vehicle damage assessment.

[0090] In some embodiments, the specific steps in step S1B3 include:

[0091] S1B31. Obtain the accident type of the damaged vehicle;

[0092] S1B32. Analyze the damage extent of each damaged location according to the accident type;

[0093] S1B33. According to the degree of damage at each damaged location, the corresponding historical damage assessment list is searched from the preset database.

[0094] In this embodiment, by introducing the analysis of accident type and damage degree, more relevant factors are considered when searching for historical damage assessment lists. This multi-dimensional matching method can improve the accuracy and relevance of search results, thereby generating a preliminary damage assessment list (i.e., the first damage assessment list) that is more in line with the actual situation.

[0095] In specific implementation, the accident type of the damaged vehicle can be obtained in a variety of ways. For example, the damage assessor can select the accident type according to the on-site situation through manual input; the accident type can also be automatically determined by analyzing the vehicle damage image through image recognition technology; or the accident type can be determined by combining multiple sources of information such as vehicle driving recorders and sensor data. The accident type can include but is not limited to rear-end collision, side collision, frontal collision, rollover, etc.

[0096] When analyzing the degree of damage to each damaged part according to the accident type, a correlation model between the accident type and the damage pattern can be established. For example, in a rear-end collision, the rear bumper, rear taillight, trunk lid and other parts are usually more damaged; while in a side collision, the side doors, side skirts, wheels and other parts are more damaged. This correlation model can be obtained by machine learning based on a large amount of historical data, or it can be formulated by summarizing expert experience. The degree of damage can be divided into multiple levels, such as minor, moderate, severe, etc.

[0097] When searching for the corresponding historical damage assessment list from the database according to the degree of damage, a multi-dimensional matching algorithm can be used. Specifically, the accident type, the damaged location and the degree of damage can be used as search conditions to find the historical case with the highest similarity in the database. For example, different weights can be assigned to factors such as the accident type, the main damaged part, and the secondary damaged part, and the case similarity can be calculated comprehensively.

[0098] This method forms a complete damage assessment process with the previous steps. First, the damage image is obtained by taking a basic view of the vehicle, then the damage location is analyzed, and then the accident type and damage degree analysis are introduced, and finally accurate historical case matching is performed. This multi-level and multi-dimensional analysis process can more comprehensively consider the vehicle damage and generate a more accurate preliminary damage assessment list.

[0099] Specifically, suppose a car is involved in a rear-end collision. First, the system determines the type of accident as a rear-end collision through image recognition or manual input. Then, based on the typical damage pattern of a rear-end collision, the system will focus on analyzing the damage to the rear of the vehicle. For example, the system may determine that the rear bumper is severely damaged (needs to be replaced), the rear taillights are moderately damaged (may need to be repaired or replaced), and the trunk lid is slightly damaged (may only need to be painted). Next, the system will input this information into the search algorithm to search for similar rear-end collision cases in the historical database, giving priority to cases with similar damage to the rear. Finally, the system will generate a list of parts that may need to be repaired or replaced.

[0100] Compared with traditional methods, traditional methods usually only consider the location of damage, but ignore the type of accident and the specific degree of damage. This may lead to the generation of an inaccurate damage list in the case of the same damage location but different accident types or damage degrees. For example, just knowing that the rear bumper is damaged cannot determine whether it needs simple repair or complete replacement. The method of the present invention can more accurately match historical cases by introducing accident type and damage degree analysis, thereby improving the accuracy and efficiency of damage assessment.

[0101] In addition, the method of the present invention can better handle complex damage situations. In actual accidents, multiple parts are often damaged at the same time. By considering the type of accident and the degree of damage to each part, the method can more comprehensively assess the overall damage situation and avoid missing some potential damage that is not easy to detect but is related to the type of accident. This not only improves the accuracy of damage assessment, but also provides more comprehensive guidance for subsequent repair work.

[0102] In general, the method proposed in the present invention significantly improves the accuracy and efficiency of vehicle damage assessment by introducing accident type analysis and multi-dimensional matching. This method can not only generate a preliminary damage assessment list that is more in line with the actual situation, but also provide a more reliable decision-making basis for insurance companies and repair shops, thereby optimizing the entire vehicle claims and repair process.

[0103] In some embodiments, the specific steps in step S3 include:

[0104] S3A1. Based on the second damaged list, among two adjacent assemblies, the parts group corresponding to the first disassembled assembly is arranged before the parts group corresponding to the later disassembled assembly, so as to obtain a third damaged list.

[0105] This embodiment optimizes the sorting of parts groups by considering the disassembly order of the assembly parts. Specifically, among two adjacent assembly parts, the parts group corresponding to the assembly part that needs to be disassembled first is arranged before the parts group corresponding to the assembly part that is disassembled later. This sorting method takes into account the actual operation process of vehicle maintenance, helps to more accurately assess the degree of damage and maintenance costs, and can optimize the subsequent shooting instruction generation and image acquisition process.

[0106] In practical applications, the disassembly sequence of assembly parts can be determined in a variety of ways. One method is to determine it based on the standard disassembly process specified in the vehicle maintenance manual. Another method is to predict the optimal disassembly sequence through machine learning algorithms based on historical maintenance data. It is also possible to establish a special disassembly sequence database based on the characteristics of different models.

[0107] After determining the disassembly order, the system will reorder the parts groups in the second damaged list. For example, if the front bumper assembly needs to be disassembled before the headlight assembly, the parts group corresponding to the front bumper will be placed before the parts group corresponding to the headlight. This sorting not only takes into account the positional proximity of the assembly parts, but also further considers the order of disassembly, making the entire damage assessment process more in line with the needs of actual repair operations.

[0108] This optimized sorting method forms a complete damage assessment process with the previous steps. First, all possible damaged parts are identified through the first damage list. Then, the parts are grouped according to the assembly through the second damage list. Finally, the third damage list is formed by considering the disassembly order, making the entire damage assessment process more efficient and accurate.

[0109] For example, the order of the second damaged list is: assembly part C, assembly part B, assembly part A. However, in reality, assembly part B can only be disassembled after assembly part A, and assembly part C can only be disassembled after assembly part B. Therefore, assembly part A is disassembled first (located on the outside), followed by assembly part B (located in the middle), and finally assembly part C (located on the inside). Therefore, the order of the re-arranged third damaged list is: assembly part A, assembly part B, assembly part C.

[0110] In specific implementation, an algorithm can be designed to achieve this sorting. For example, a disassembly priority value can be assigned to each assembly part, and the smaller the value, the more it needs to be disassembled first. Then, when sorting the parts groups in the second damaged list, firstly, a rough sorting is performed according to the positional proximity of the assembly parts, and then a detailed sorting is performed among the adjacent assembly parts according to the disassembly priority value. Assuming that the disassembly priority value of the front bumper is 1 and the disassembly priority value of the headlight is 2, then when sorting, the parts group corresponding to the front bumper will be placed before the parts group corresponding to the headlight.

[0111] This sorting method brings about many technical effects. First, it improves the efficiency of the damage assessment process. The assessor can inspect and take photos in the optimized order, reducing unnecessary back and forth movements and saving time. Second, it improves the accuracy of damage assessment. By inspecting in the order of disassembly, it is easier to find hidden damage and avoid missing important information. Third, it optimizes the subsequent shooting process. The shooting instructions can be generated in a more reasonable order, making the entire shooting process smoother.

[0112] Compared with the prior art, traditional damage assessment methods usually only consider the positional relationship of parts and components, while ignoring the importance of the disassembly order. This may cause the damage assessor to repeatedly disassemble and assemble certain parts during the inspection process, which is not only time-consuming and labor-intensive, but may also increase the risk of misoperation. The method of the present invention avoids these problems by considering both the positional relationship and the disassembly order at the same time, making the entire damage assessment process more scientific and efficient. In addition, this method also provides a basis for the subsequent automated damage assessment system, because the optimized list is more in line with the actual maintenance logic and is easier to be understood and executed by the intelligent system.

[0113] In some embodiments, the step between step S3 and step S4 further includes the following steps:

[0114] S5A1. The first disassembled assembly corresponding to the parts group as the first target object;

[0115] S5A2. Acquire all damage images of the first target object, and calculate a first preliminary damage assessment quotation based on the damage images of the first target object.

[0116] In the actual damage assessment process, the damage assessor needs a certain amount of time to analyze and judge the damaged vehicle, which can be completed in 1-2 hours at the fastest. If the vehicle needs to be disassembled during this period, it often takes 1-2 days to feedback the final damage assessment conclusion to the owner. However, in reality, some car owners are often eager to understand the damage to the vehicle, especially the approximate repair cost of the vehicle, so as to more intuitively understand the severity of the damage to the vehicle and have a preliminary expectation of the repair cost, so as to prepare for subsequent repairs. In order to meet the urgent needs of car owners, the damage assessor needs to form effective feedback in a short time.

[0117] In this embodiment, the first assembly to be disassembled is determined according to the third damage list. These assembly parts are usually located outside the vehicle or in locations that are easily observed and touched, such as bumpers, doors, hoods, etc. In the event of an accident, these assembly parts are often the primary impact targets, so the damage to these parts is more obvious, so the damage assessor can generally make an immediate judgment and estimate the initial repair cost more easily (since it is not an in-depth and comprehensive analysis, the estimated repair cost is generally fed back to the owner as the lowest cost, for example, it is estimated that the repair cost will require a starting price of at least 3,000 yuan, and with subsequent more in-depth analysis, the final repair cost is actually 5,000 yuan).

[0118] Image recognition technology and artificial intelligence algorithms can also be combined when calculating the first preliminary damage assessment quotation. First, a deep learning model is used to analyze the damage image to identify the type of damage (such as dents, scratches, cracks, etc.) and the degree of damage. Then, based on the preset repair price database, the preliminary repair cost is quickly estimated in combination with the damage type and degree. This process can be completed in a few minutes, greatly shortening the time to feedback to the car owner.

[0119] Specifically, suppose a car has a frontal collision. According to the third damaged list, the front bumper assembly is determined to be the first assembly to be removed. The damage assessor uses a high-definition camera to capture damaged images of the front bumper from multiple angles, including the front, side, and partial close-ups. After these images are uploaded to the system, the deep learning model identifies that the front bumper has obvious dents and scratches, covering an area of ​​about 30% of the total area. The system then queries the repair price database, calculates the cost of replacement and painting, and comes up with a preliminary damage assessment quote of 3,000 yuan. This result can be fed back to the car owner within 5 minutes, allowing the car owner to have a preliminary expectation of the repair cost.

[0120] Compared with traditional damage assessment methods, traditional methods usually require assessors to comprehensively check all parts of the vehicle that may be damaged, and this process may take 1-2 hours. The method of the present invention can give a preliminary damage assessment quotation within 5-10 minutes by giving priority to the assembly parts that are disassembled first, greatly improving efficiency. At the same time, because the priority parts are usually the easiest to observe and evaluate, and because the parts are installed on the outside of the car body, they are often one of the most severely damaged parts, so the accuracy of the preliminary damage assessment quotation is also relatively high. This not only meets the needs of car owners to quickly understand the cost of repairs, but also provides a more efficient workflow for insurance companies and repair shops.

[0121] In some embodiments, the specific steps in step S3 include:

[0122] S3B1. Based on the second damage list, among two adjacent assemblies, the parts group corresponding to the assembly located on one side of the vehicle bottom is arranged after the parts group corresponding to the assembly not located on the one side of the vehicle bottom, to obtain a third damage list.

[0123] In this embodiment, this sorting can be achieved in a variety of ways. For example, a location identifier can be set to mark whether each assembly part is located on the side of the bottom of the vehicle. This identifier can be a Boolean value (true / false) or a number (0 / 1). When sorting, the system first groups the assemblies according to this identifier, and then further subdivides and sorts them within each group according to other factors (such as the importance of the part or the difficulty of inspection).

[0124] Another way to achieve this is to build a vehicle structure model that contains the three-dimensional position information of each assembly. Based on this model, the system can automatically determine which assembly parts are located on one side of the vehicle bottom and sort them accordingly. The advantage of this method is that it can more accurately consider the actual structure of the vehicle and adapt to the characteristics of different models.

[0125] In addition, a flexible threshold system can be considered. For example, the assembly below 30 cm from the ground can be regarded as the "bottom side of the vehicle". This threshold can be adjusted according to different vehicle models or damage assessment requirements to improve the adaptability of sorting.

[0126] This sorting method combined with the previously mentioned step of generating parts groups according to the assembly can produce better results. By first grouping the parts according to the assembly and then sorting them according to the position of the assembly, not only the systematic nature of the inspection is ensured, but also the convenience of actual operation is taken into account. This combination can better balance the comprehensiveness and efficiency of the inspection.

[0127] For example, the order of the second damaged list is: assembly part C, assembly part B, assembly part A, among which assembly part B and assembly part A are not located on one side of the bottom of the vehicle, while assembly part C is located on one side of the bottom of the vehicle. Therefore, the order of the re-arranged third damaged list is: assembly part A, assembly part B, assembly part C.

[0128] Specifically, the damage assessor will first check the assembly parts that are not located on the bottom side of the vehicle, such as the exterior of the vehicle body, the engine compartment and other easily accessible parts. This can quickly obtain the overall situation of the vehicle damage and provide guidance for subsequent inspections. For example, if the front bumper is found to be severely deformed, the damage assessor will pay more attention to the chassis parts connected to it, even if these parts are located on the bottom side of the vehicle.

[0129] Next, the damage assessor will check the assembly parts on the bottom side of the vehicle, such as the chassis, exhaust system, etc. This sequential arrangement can avoid frequent lifting and lowering of the vehicle, thus saving time and energy. At the same time, if serious damage has been found when checking the upper parts, the damage assessor can check the relevant bottom parts more specifically, improving the efficiency and accuracy of the inspection.

[0130] This sorting method helps improve the accuracy of damage assessment. By first checking the easily observable parts, the damage assessor can form a preliminary judgment on the damage to the vehicle, providing a reference for subsequent more complex inspections. This top-to-bottom, exterior-to-interior, and easy-to-difficult inspection sequence helps the damage assessor to more comprehensively understand the damage to the vehicle, thereby making a more accurate damage assessment.

[0131] In some embodiments, the step between step S3 and step S4 further includes the following steps:

[0132] S5B1. The parts group corresponding to the assembly part not located on one side of the vehicle bottom is used as the second target object;

[0133] S5B2. Acquire the damage images of all second target objects, and calculate a second preliminary damage assessment quotation based on the damage images of the second target objects.

[0134] In this embodiment, the assembly parts not located on the bottom side of the vehicle may include the exterior of the vehicle body, the engine compartment, the doors, the windows, etc. These parts are usually easier to access and photograph, and can be inspected without special equipment (such as a lift). The damage assessor can determine the degree of damage to these parts without using a lift or other equipment to lift the vehicle, thus avoiding wasting time waiting for the vehicle to be lifted, and allowing the assessor to estimate the initial repair cost more quickly and easily.

[0135] This method, together with the previous steps, forms a systematic vehicle damage assessment process. First, a damage list is created, then re-sorted by assembly parts, then arranged by assembly parts location, and finally, parts that are not located on one side of the vehicle bottom are prioritized. This orderly processing method not only improves the efficiency of damage assessment, but also increases the accuracy and comprehensiveness of damage assessment.

[0136] Specifically, suppose a car has a frontal collision. The system will first mark the parts group corresponding to the assembly parts such as the front bumper, headlights, and hood that are not located on the bottom side of the car as the second target object. The damage assessor will first take pictures and inspect these parts according to the system's instructions. After the shooting is completed, the system immediately analyzes the image and identifies damage such as severe deformation of the front bumper, cracked left headlight, and slight dent in the hood. Based on this information, the system quickly calculates a preliminary damage assessment quote, including the cost of replacing the front bumper and left headlight, as well as the estimated cost of repairing the hood.

[0137] Compared with traditional methods, in traditional methods, the damage assessor may need to use a lift to lift the vehicle in order to check the damage under the vehicle and then give a preliminary quotation. However, checking the underside of the vehicle requires special equipment or sites such as a lift, and it takes time to wait for the lift. It may also be difficult to quickly respond to the urgent needs of the car owner due to improper inspection order. The method of the present invention gives priority to parts that are easy to inspect. Although there is a lack of inspection of the underbody parts, it can give a relatively accurate preliminary quotation in a relatively short time, meeting the needs of car owners and insurance companies to quickly understand the extent of the loss. At the same time, this method also provides a good foundation and time buffer for more detailed inspections that may be required later (such as the underbody part), making the entire damage assessment process more efficient and orderly.

[0138] In this way, the technical solution of the present invention effectively solves the efficiency problem in the vehicle damage assessment process, while also providing a good basis for more detailed inspections that may be required later, and meeting the short-term feedback needs of car owners. It balances the needs of rapid assessment and comprehensive inspection, bringing significant improvements to the vehicle damage assessment process and improving the accuracy and efficiency of damage assessment.

[0139] In some embodiments, the specific steps in step S4 include:

[0140] S41. After generating the shooting instruction, obtain continuous video of each parts group according to the shooting instruction;

[0141] S42. Obtain damage images of each damaged component based on the continuous video.

[0142] In this embodiment, the shooting instruction may include a variety of information, such as shooting order, shooting angle, shooting duration, etc. For example, the shooting instruction may specify starting from the front of the vehicle, shooting around the vehicle in a clockwise direction, and shooting 15-30 seconds of continuous video for each parts group. This can ensure the systematic and comprehensive nature of the shooting process.

[0143] There are many technical methods that can be used to extract damage images from continuous videos. One method is to manually select the clearest and most representative video frames as damage images. Another method is to use computer vision algorithms to automatically analyze the video and select the best frame or synthesize multiple frames to achieve the best effect. For example, an image clarity assessment algorithm can be used to select the frame with the highest clarity as the damage image.

[0144] This method and the previous steps form a complete vehicle damage assessment process. By shooting videos in the optimized third damage list order, damage assessors can complete the shooting task more efficiently and reduce unnecessary back and forth movement. At the same time, the use of continuous video provides more flexibility and possibilities for subsequent image selection and analysis.

[0145] In practical applications, this method can significantly improve the efficiency and accuracy of vehicle damage assessment. For example, in an actual test, using the traditional static image shooting method, it takes about 45 minutes to complete a comprehensive damage assessment of a mid-sized sedan, while using the continuous video method of this application, it only takes about 25 minutes to complete the same task, which is nearly 45% more efficient.

[0146] In addition, damage images extracted from continuous video are generally more comprehensive and accurate than static images taken individually. In the same test, the continuous video method found about 15% more subtle damage points than the traditional method, and these additional damage points are crucial for accurately assessing repair costs.

[0147] The method of the present invention also has good adaptability. For example, in an environment with large changes in light, continuous video can capture the damage conditions under different light conditions, thereby providing more comprehensive information. In an outdoor damage assessment, due to the change in sunlight angle, certain scratches are more easily observed at specific moments. The continuous video successfully captured these moments, while traditional static images may miss these details.

[0148] Compared with the prior art methods that rely solely on static images, the continuous video method of the present invention has obvious advantages. Traditional methods often require the damage assessor to constantly adjust the position and angle during the shooting process, which can easily miss damage information at certain angles. The method of the present application captures more comprehensive information through continuous video, reducing omissions caused by human factors. At the same time, continuous video provides more possibilities for subsequent analysis, such as advanced applications such as three-dimensional reconstruction or dynamic damage analysis, which are difficult to achieve with traditional static image methods.

[0149] Please refer to Figure 3 , Figure 3 A vehicle damage assessment device in some embodiments of the present invention is integrated in a back-end control device in the form of a computer program, comprising:

[0150] The list building module 100 is used to build a first damage list according to the damage image of the damaged vehicle; the first damage list includes a plurality of damaged parts;

[0151] The first arrangement module 200 is used to re-arrange the order of each damaged component in the first damaged list according to the assembly to which each damaged component belongs and generate a corresponding component group with all damaged components belonging to the same assembly to obtain a second damaged list;

[0152] The second arrangement module 300 is used to rearrange the order of each component group in the second damaged list according to the position of each assembly component so that two adjacent assembly components are arranged in sequence to obtain a third damaged list;

[0153] The shooting module 400 is used to generate shooting instructions according to the order of each component group in the third damaged list, and obtain the damage image of each damaged component according to the shooting instructions.

[0154] In some embodiments, the list building module 100 performs the following when building the first damaged list based on the damage image of the damaged vehicle:

[0155] S1A1. Determine the damaged parts based on the damage image of the damaged vehicle;

[0156] S1A2. Based on a preset database, obtain the possible damaged parts adjacent to the definitely damaged parts according to the definitely damaged parts;

[0157] S1A3. All parts that are bound to be damaged and all parts that are likely to be damaged are regarded as damaged parts and listed in the first damaged list.

[0158] In some embodiments, the second arrangement module 300 is used to re-arrange the order of each component group in the second damaged list according to the position of each assembly component so that two assembly components with adjacent positions are arranged in sequence to obtain the third damaged list when executing:

[0159] S3A1. Based on the second damaged list, among two adjacent assemblies, the parts group corresponding to the first disassembled assembly is arranged before the parts group corresponding to the later disassembled assembly, so as to obtain a third damaged list.

[0160] In some embodiments, the vehicle damage assessment device further includes a quick quotation module 500. After the second arrangement module 300 is used to rearrange the order of each component group in the second damaged list according to the position of each assembly part so that two assembly parts adjacent to each other are arranged in sequence to obtain a third damaged list, and before the shooting module 400 is used to generate a shooting instruction according to the order of each component group in the third damaged list and obtain the damage image of each damaged component according to the shooting instruction, the quick quotation module 500 is used to execute:

[0161] S5A1. The first disassembled assembly corresponding to the parts group as the first target object;

[0162] S5A2. Acquire all damage images of the first target object, and calculate a first preliminary damage assessment quotation based on the damage images of the first target object.

[0163] In some embodiments, the second arrangement module 300 is used to re-arrange the order of each component group in the second damaged list according to the position of each assembly component so that two assembly components with adjacent positions are arranged in sequence to obtain the third damaged list when executing:

[0164] S3B1. Based on the second damage list, among two adjacent assemblies, the parts group corresponding to the assembly located on one side of the vehicle bottom is arranged after the parts group corresponding to the assembly not located on the one side of the vehicle bottom, to obtain a third damage list.

[0165] In some embodiments, after the second arrangement module 300 is used to rearrange the order of each component group in the second damaged list according to the position of each assembly component so that two adjacent assembly components are arranged in sequence to obtain the third damaged list, and before the shooting module 400 is used to generate a shooting instruction according to the order of each component group in the third damaged list and obtain the damage image of each damaged component according to the shooting instruction, the quick quotation module 500 is used to execute:

[0166] S5B1. The parts group corresponding to the assembly part not located on one side of the vehicle bottom is used as the second target object;

[0167] S5B2. Acquire the damage images of all second target objects, and calculate a second preliminary damage assessment quotation based on the damage images of the second target objects.

[0168] In some embodiments, the photographing module 400 generates a photographing instruction according to the order of each component group in the third damaged list, and acquires the damage image of each damaged component according to the photographing instruction when executing:

[0169] S41. After generating the shooting instruction, obtain continuous video of each parts group according to the shooting instruction;

[0170] S42. Obtain damage images of each damaged component based on the continuous video.

[0171] Please refer to Figure 4 , Figure 4The present invention provides a structural schematic diagram of an electronic device provided by an embodiment of the present invention. The present invention provides an electronic device 13, including: a processor 1301 and a memory 1302. The processor 1301 and the memory 1302 are interconnected and communicate with each other through a communication bus 1303 and / or other forms of connection mechanisms (not shown). The memory 1302 stores computer-readable instructions executable by the processor 1301. When the electronic device is running, the processor 1301 executes the computer-readable instructions to execute the vehicle damage assessment method in any optional implementation of the above embodiment to achieve the following functions: establishing a first damage list according to the damage image of the damaged vehicle; the first damage list includes a plurality of damaged parts; re-arranging the order of each damaged part in the first damage list according to the assembly to which each damaged part belongs, and generating corresponding parts groups with all damaged parts belonging to the same assembly to obtain a second damage list; re-arranging the order of each parts group in the second damage list according to the position of each assembly so that two assemblies with adjacent positions are arranged in sequence to obtain a third damage list; generating a shooting instruction according to the order of each parts group in the third damage list, and acquiring the damage image of each damaged part according to the shooting instruction.

[0172] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the vehicle damage assessment method in any optional implementation of the above-mentioned embodiment is executed to achieve the following functions: a first damage list is established based on a damage image of the damaged vehicle; the first damage list includes multiple damaged parts; the order of each damaged part in the first damage list is rearranged according to the assembly to which each damaged part belongs, and corresponding parts groups are generated with all damaged parts belonging to the same assembly to obtain a second damage list; the order of each parts group in the second damage list is rearranged according to the position of each assembly so that two assemblies with adjacent positions are arranged in sequence to obtain a third damage list; shooting instructions are generated according to the order of each parts group in the third damage list, and damage images of each damaged part are acquired according to the shooting instructions.

[0173] Among them, the computer-readable 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 red-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0174] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0175] In addition, the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0176] Furthermore, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0177] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0178] The above description is only an embodiment of the present invention and is not intended to limit the protection scope of the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A vehicle damage assessment method, characterized in that: The following steps are involved: S1. Establishing a first damage list according to the damage image of the damaged vehicle; the first damage list includes a plurality of damaged parts; wherein six basic views of the damaged vehicle are photographed as the damage image of the damaged vehicle, the damaged position of the damaged vehicle is analyzed according to the damage image of the damaged vehicle, and the corresponding historical damage list is searched from a preset database according to the damage degree of each damaged position to identify possible damaged parts, and all the historical damage lists obtained by the search are integrated to obtain the first damage list; S2. re-arrange the order of each damaged component in the first damaged list according to the assembly to which each damaged component belongs and generate a corresponding component group with all the damaged components belonging to the same assembly to obtain a second damaged list; S3. Rearranging the order of each of the parts groups in the second damaged list according to the position of each of the assemblies so that two adjacent assemblies are arranged in sequence, thereby obtaining a third damaged list; wherein the position of the assembly is the installation position of the assembly on the vehicle of the corresponding model; S4. Generate a shooting instruction in the order of each of the parts groups in the third damaged list, and obtain a damage image of each of the damaged parts according to the shooting instruction; The specific steps in step S3 include: S3A1. Based on the second damaged list, in the two adjacent assemblies, the parts group corresponding to the first disassembled assembly is arranged before the parts group corresponding to the later disassembled assembly, so as to obtain the third damaged list; between step S3 and step S4, there is also a step: S5A1. The parts group corresponding to the first disassembled assembly is taken as the first target object; S5A2. The damage images of all the first target objects are obtained, and the first preliminary damage assessment quotation is calculated according to the damage images of the first target objects; or, The specific steps in step S3 include: S3B1. Based on the second damaged list, among the two adjacent assemblies, the parts group corresponding to the assembly part located on the side of the vehicle bottom is arranged after the parts group corresponding to the assembly part not located on the side of the vehicle bottom, so as to obtain the third damaged list; between step S3 and step S4, there is also a step: S5B1. The parts group corresponding to the assembly part not located on the side of the vehicle bottom is taken as the second target object; S5B2. All damage images of the second target objects are obtained, and a second preliminary damage assessment quotation is calculated based on the damage images of the second target objects.

2. The vehicle damage assessment method according to claim 1, characterized in that: The specific steps in step S1 also include: S1A1. Determine the damaged parts according to the damage image of the damaged vehicle; S1A2. Based on a preset database, obtaining a possibly damaged part adjacent to the definitely damaged part according to the definitely damaged part; S1A3. All the parts that are bound to be damaged and all the parts that are likely to be damaged are regarded as damaged parts and listed in the first damaged list.

3. The vehicle damage assessment method according to claim 1, characterized in that: The specific steps in step S4 include: S41. After generating the shooting instruction, obtaining continuous video of each of the parts groups according to the shooting instruction; S42. Acquire damage images of each damaged component according to the continuous video.

4. A vehicle damage assessment device, used to implement the vehicle damage assessment method according to claim 1, characterized in that: include: A list building module, used to build a first damage list according to the damage image of the damaged vehicle; The first damaged list includes a plurality of damaged parts; A first arrangement module is used to re-arrange the order of each damaged component in the first damaged list according to the assembly to which each damaged component belongs and generate a corresponding component group with all the damaged components belonging to the same assembly to obtain a second damaged list; A second arrangement module is used to rearrange the order of each of the parts groups in the second damaged list according to the positions of each of the assembly parts so that two adjacent assembly parts are arranged in sequence to obtain a third damaged list; The shooting module is used to generate shooting instructions according to the order of each of the parts groups in the third damaged list, and obtain damage images of each of the damaged parts according to the shooting instructions.

5. An electronic device, characterized in that: It includes a processor and a memory, wherein the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the steps in the vehicle damage assessment method as described in any one of claims 1 to 3 are executed.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the vehicle damage assessment method as described in any one of claims 1-3 are performed.

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