CN111553285A - Method and system for protecting user privacy information in vehicle remote damage assessment process - Google Patents
Method and system for protecting user privacy information in vehicle remote damage assessment process Download PDFInfo
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Abstract
The invention discloses a method for protecting user privacy information in a vehicle remote damage assessment process, which eliminates the hidden danger that the user privacy information is easy to leak in the vehicle damage determination process. Specifically, the method comprises the following steps: s1, receiving survey videos sent by the mobile terminal, wherein the survey videos comprise certificate videos and vehicle videos; s2, carrying out certificate identification and verification on the certificate video, and carrying out license plate identification and verification on the vehicle video; and S3, if the certificate and the license plate pass the verification, shielding the license plate in the vehicle video, and then sending the processed vehicle video to a background for a damage assessment worker to assess damage.
Description
Technical Field
The invention relates to the technical field of user privacy information protection, in particular to a method and a system for protecting user privacy information in a vehicle remote damage assessment process.
Background
With the continuous increase of the reserved quantity of private cars, the insurance market scale of the private cars is continuously enlarged, and the insurance market scale can reach 1.2 trillion in 2020 according to the prediction of related data. On the premise that the occurrence rate of the private car accidents does not change greatly, along with the expansion of the market scale of the private car insurance, the total number of the car insurance accidents is increased continuously, the number of the accident claims corresponding to the total number is increased continuously, and the required car insurance investigation workload and the related cost are increased in proportion.
At present, in the automobile insurance survey business, an insurance company generally sends surveyors to carry out site survey and inspection, the personal information of users and related policy certificates are inspected simultaneously in the damage assessment process, and the users are brought back to the insurance company to carry out examination and approval for record after the damage assessment and price verification are carried out on site.
The existing damage assessment method has the problems of high labor and operation cost and low processing timeliness, and aiming at the problems, an online damage assessment method based on images and videos is also provided, a vehicle owner user can photograph damaged vehicles or photograph videos and upload the videos to a server, and the server identifies and judges damaged parts of each frame of image. Because the server mainly judges through an algorithm, and the current algorithm is inaccurate in price rating and checking of damaged parts, most of the time is still manually rated and checked when the price is rated and checked.
However, before the vehicle owner user and the vehicle information are checked by the staff before the vehicle owner user and the vehicle information are checked, if the check is passed, the image information or the video data of the damaged vehicle is sent to the damage assessment staff for damage assessment, in the whole damage assessment process, the personal information and the license plate information of the vehicle owner user are processed by a plurality of staff in different nodes, and in the process, the hidden danger that the privacy information of the user is leaked (for example, the individual staff intentionally leaks the vehicle owner information for illegal profit making) exists, and unnecessary loss is brought to the vehicle owner user.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method and a system for protecting user privacy information in a vehicle remote damage assessment process, so as to eliminate the hidden danger that the user privacy information is easy to leak in the vehicle damage assessment process.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a method for protecting user privacy information in a vehicle remote damage assessment process, including:
s1, receiving survey videos sent by the mobile terminal, wherein the survey videos comprise certificate videos and vehicle videos;
s2, carrying out certificate identification and verification on the certificate video, and carrying out license plate identification and verification on the vehicle video;
and S3, if the certificate and the license plate pass the verification, shielding the license plate in the vehicle video, and then sending the processed vehicle video to a background for a damage assessment worker to assess damage.
Optionally, in step S2, in step S2, the performing certificate recognition and verification on the certificate video includes:
s2-11, sequentially carrying out certificate identification on each frame of image in the certificate video by adopting an SSD algorithm;
s2-12, calling an OCR module to perform optical character recognition on the frame image containing the certificate, and acquiring the certificate type and the certificate number;
and S2-13, matching and checking the certificate type and the certificate number acquired in the step S2-12 with the reserved certificate information in the system database.
Optionally, in step S2, the recognizing and checking the license plate of the vehicle video includes:
s2-21, sequentially carrying out vehicle identification on each frame of image in the vehicle video by adopting an SSD algorithm;
s2-22, performing license plate recognition on the frame image containing the vehicle by using an SSD algorithm;
s2-23, calling an OCR module to perform optical character recognition on the frame image of the recognized license plate part to obtain the license plate number on the license plate;
and S2-24, matching and checking the license plate number acquired in the step S2-23 with the reserved license plate number in the system database.
Optionally, in step S3, the blocking processing of the license plate in the vehicle video includes:
s3-1, carrying out vehicle identification on each frame of image in the vehicle video, and then carrying out license plate identification on the frame of image containing the vehicle;
s3-2, performing license plate occlusion processing on each frame image containing the license plate, including:
s3-21, determining four vertex coordinates of the license plate and a license plate area formed by the four vertex coordinates by taking the lower left corner of the frame image as a coordinate origin;
and S3-22, performing affine transformation on a target picture according to the license plate area, putting the transformed target picture into the frame image, and covering the license plate area in the frame image.
Optionally, the method further comprises: determining an electronic damage assessment list, and sending the electronic damage assessment list to a mobile terminal for a vehicle supply master user to confirm;
and receiving the confirmation information, and writing the electronic damage-assessment bill and the confirmation information into a system database.
In a second aspect, an embodiment of the present invention provides a system for protecting user privacy information during a vehicle remote damage assessment process, including:
the video receiving module is used for receiving survey videos sent by the mobile terminal, and the survey videos comprise certificate videos and vehicle videos;
the identification and verification module is used for carrying out certificate identification and verification on the certificate video and carrying out license plate identification and verification on the vehicle video;
and the video reporting module is used for shielding the license plate in the vehicle video and then sending the processed vehicle video to a background for a damage assessment worker to assess damage.
Optionally, the identification and verification module performing certificate identification and verification on the certificate video includes:
sequentially carrying out certificate identification on each frame of image in the certificate video by adopting an SSD algorithm;
calling an OCR module to perform optical character recognition on the frame image containing the certificate, and acquiring the certificate type and the certificate number;
and matching and checking the acquired certificate type and certificate number with the reserved certificate information in the system database.
Optionally, the recognizing and checking module performs license plate recognition and checking on the vehicle video, including:
sequentially carrying out vehicle identification on each frame of image in the vehicle video by adopting an SSD algorithm;
performing license plate recognition on a frame image containing a vehicle by adopting an SSD algorithm;
calling an OCR module to perform optical character recognition on the frame image of the recognized license plate part to obtain a license plate number on the license plate;
and matching and checking the acquired license plate number with the reserved license plate number in the system database.
Optionally, the video reporting module performs blocking processing on the license plate in the vehicle video, including:
carrying out vehicle identification on each frame of image in the vehicle video, and then carrying out license plate identification on the frame of image containing the vehicle;
the license plate shielding processing is carried out on each frame image containing the license plate, and the license plate shielding processing method comprises the following steps:
determining four vertex coordinates of a license plate and a license plate area formed by the four vertex coordinates by taking the lower left corner of the frame image as a coordinate origin;
and performing affine transformation on a target picture according to the license plate area, putting the transformed target picture into the frame image, and covering the license plate area in the frame image.
Optionally, the system further comprises a work order confirmation module, configured to determine an electronic damage assessment order, and send the electronic damage assessment order to the mobile terminal for a vehicle master user to confirm; and receiving the confirmation information, and writing the electronic damage-assessment bill and the confirmation information into a system database.
According to the technical system and the implementation method described in the application, the vehicle owner information and the vehicle information can be automatically checked in the damage assessment process without manual checking, and meanwhile, the reported license plate video can be subjected to license plate shielding processing, so that the license plate information of a vehicle owner is effectively protected, and the personal information and the license plate information of a user are prevented from being leaked in the damage assessment process.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a schematic flow chart illustrating an embodiment of a method for protecting user privacy information during a vehicle remote damage assessment process according to the present invention;
FIG. 2 is a schematic view of a process of identification and verification of certificate information;
FIG. 3 is a schematic view of a license plate information identification and verification process;
FIG. 4 is a schematic diagram illustrating the effect of license plate blocking on a frame image of a vehicle video;
FIG. 5 is a schematic flow chart of loss assessment pricing;
fig. 6 is a block diagram of an embodiment of a system for protecting user privacy information during remote damage assessment of a vehicle according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The embodiments of the present invention, and all other embodiments obtained by a person of ordinary skill in the art without any inventive work, belong to the scope of protection of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Example 1
Referring to fig. 1, an embodiment of the present invention provides a method for protecting user privacy information in a vehicle remote damage assessment process, where the method includes:
and step S1, receiving the survey video sent by the mobile terminal, wherein the survey video comprises a vehicle video and a certificate video.
In the embodiment of the invention, after a vehicle insurance accident occurs, a vehicle owner user can log in a client, a public number or an applet and the like provided by an insurance company on a mobile terminal of the vehicle owner user through an account number password to initiate a video report to an agent of the insurance company, after the agent answers the report briefly, a work order is established according to the account number and report time of the vehicle owner user, the work order is accessed to a system platform, and a preset program arranged in the system platform can guide the vehicle owner user to upload a survey video sent through the mobile terminal. The survey video comprises certificate video of the identity card, the driving certificate and other related certificate information of the owner user and vehicle video of the damaged condition of the vehicle.
Because the vehicle video shot in the real environment often distorts the license plate, thereby increasing the difficulty of subsequent license plate recognition, in step S1, the predetermined program of the system platform can also guide the vehicle owner user to shoot a video with a more positive and clear license plate, so that the subsequent license plate recognition and the recognition of the license plate characters can be more smooth.
And S2, carrying out certificate identification and verification on the certificate video, and carrying out license plate identification and verification on the vehicle video so as to finish the confirmation of the identity of the vehicle master user and the vehicle information.
In step S2, the registered owner-user personal information is verified by performing certificate identification and verification on the certificate video. Specifically, as shown in fig. 2, performing certificate identification and verification on a certificate video includes:
and S2-11, carrying out certificate identification on each frame of image in the certificate video in sequence. Because the certificate is smaller, the difficulty of directly detecting the certificate information in the certificate is high. By identifying the certificate in the frame image and then identifying the content of the certificate, the difficulty of identification can be greatly reduced, and the accuracy is improved.
And S2-12, calling an OCR module to perform optical character recognition on the frame image containing the certificate, acquiring the certificate type and the certificate number, and respectively judging the certificate types such as the identity card, the driving license and the like and the certificate number on each certificate.
And S2-13, matching and checking the certificate type and the certificate number acquired in the step S2-12 with the reserved certificate information in the system database. The system platform can extract the certificate numbers reserved corresponding to the account numbers from the system database according to the account number information of the vehicle videos uploaded by the vehicle owner users, and respectively compares the certificate numbers, if the type and the number of a certain certificate are matched without errors, the type and the number of the next round of certificate can be compared, otherwise, the process can be interrupted, the vehicle owner users are required to submit again until all the certificate information is successfully matched, and then the license plate information is identified and verified.
In step S2, license plate recognition and verification are performed on the vehicle video to match and verify license plate information reported by the vehicle owner user. The License plate recognition mainly adopts an Automatic License plate recognition technology (namely ALPR (Automatic License plate recognition)), which generally comprises four parts: vehicle detection, license plate detection, character segmentation and character recognition, the combination of the two parts of character segmentation and character recognition is generally referred to as OCR. Specifically, as shown in fig. 3, the license plate recognition and verification of the vehicle video includes:
and S2-21, sequentially carrying out vehicle identification on each frame of image in the vehicle video. If a vehicle is identified in the current frame image, the next step is executed, otherwise, the vehicle identification of the current frame image is interrupted, and the next frame image is processed. Because the license plate belongs to the recognition of a small target, the license plate is usually accompanied in a frame image of a vehicle under the normal condition, and the missing detection of the license plate image can be avoided by recognizing the vehicle firstly.
And S2-22, performing license plate recognition on the frame image containing the vehicle. The license plate belongs to a rectangular plane object and is attached to the vehicle to mark different vehicles. In order to ensure the recognition effect of the license plate, the SSD target detection algorithm detects the license plate at the corresponding position of the vehicle in step S2-22.
And S2-23, calling an OCR module to perform optical character recognition on the frame image of the recognized license plate part, and acquiring the license plate number on the license plate. OCR, which is commonly referred to as Optical Character Recognition, refers to a technique in which an electronic device (e.g., a scanner or a digital camera) examines characters printed on paper or other physical objects, determines their shapes by detecting dark and light patterns, and then translates the shapes into computer text by Character Recognition. The OCR module can identify the Chinese characters, letters and numbers corresponding to the license plate part, namely complete license plate number information, so as to match the license plate number subsequently.
And S2-24, matching and checking the license plate number acquired in the step S2-23 with the reserved license plate number in the system database. The system platform extracts the license plate number reserved corresponding to the account number from the system database according to the account number information of the vehicle video uploaded by the vehicle owner user, matches the reserved license plate number with the identified license plate number, and after the matching is successful, the system platform indicates that the reported vehicle is confirmed to be owned by the reported vehicle owner user, and can perform the next procedure.
And if the license plate identification or verification fails, the system platform reports the terminal process to the error and informs the user owner of the vehicle to request to upload the vehicle video again or terminate the loss assessment request.
In step S2, the identification and verification of the certificate information and the license plate information is automatically performed by the function module inside the system platform, manual participation is not required, the privacy disclosure problem of the owner and the user does not exist in this link, and the user rights and interests are effectively protected. Meanwhile, the system platform automatically executes relevant identification and detection actions, the execution efficiency is high, and the loss assessment work can be greatly accelerated.
And S3, if the license plate and the certificate pass the verification, shielding the license plate in the vehicle video, and sending the processed vehicle video to a background for a damage assessment worker to assess damage.
After the confirmation work of the identity information and the vehicle information of the owner user is completed, the damage assessment pricing work of the damage degree of the vehicle and the corresponding price can be carried out. In the loss assessment pricing link, the license plate number is not a required element for loss assessment work, so that license plate number information does not need to be displayed in the loss assessment pricing process, belongs to privacy information of a vehicle owner user, and needs to be kept secret.
Specifically, in step S3, the blocking process performed on the license plate in the vehicle video includes:
s3-1, vehicle identification is carried out on each frame of image in the vehicle video, and then license plate identification is carried out on the frame of image containing the vehicle. The process of recognizing the vehicle and the license plate is the same as the recognition process in step S2.
S3-2, performing license plate occlusion processing on each frame image containing the license plate, including:
s3-21, determining four vertex coordinates of the license plate by taking the lower left corner of the current frame image as the origin of coordinates, thereby indicating the area occupied by the license plate in the whole picture, namely the license plate area. Due to the influence of the shooting angle factor, the quadrilateral area framed by the four vertex coordinate sets can be a rectangle or a rhombus.
S3-22, after obtaining the vertex coordinate set of the license plate, taking a target picture (usually a rectangular picture), carrying out affine transformation on the target picture according to the license plate area by using an affine transformation model provided by OpenCV, and putting the transformed picture into the current frame image so as to cover the license plate area in the current frame image.
Because the loss assessment personnel determine the loss and price through the video, the license plate shielding processing is carried out on the frame image of each frame containing the license plate in the vehicle video.
In step S3-22, the target picture may be the insurance company' S own company name picture, project name picture, or work order number picture, so as to achieve the function of copyright protection or assisting in filing work order information.
According to the implementation method described in the application, the vehicle owner information and the vehicle information can be automatically checked in the damage assessment process without manual checking, meanwhile, the reported license plate video can be subjected to license plate shielding processing, license plate information of a vehicle owner is effectively protected, and the personal information and the license plate information of a user are prevented from being leaked in the damage assessment process.
Optionally, on the basis of the foregoing embodiment, the method further includes:
and step S4, determining an electronic loss assessment sheet, and sending the electronic loss assessment sheet to the mobile terminal for a vehicle master user to confirm.
After the vehicle loss pricing is finished, the system platform can further generate an electronic loss assessment list according to the loss assessment pricing result of a loss assessment worker and send the electronic loss assessment list to the vehicle mobile terminal for a vehicle master user to confirm. The electronic damage ticket includes: the vehicle owner can check, sign and confirm the electronic damage assessment at the mobile terminal of the vehicle owner. When the owner user finishes the confirmation, the mobile terminal sends the confirmation information to the system platform, and after the system platform receives the confirmation information, the electronic damage-assessment list and the confirmation information are written into the system database to be stored.
Example 2
Referring to fig. 2, based on the same idea, an embodiment of the present invention further provides a system for protecting user privacy information in a vehicle remote damage assessment process. The system may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
As used in this disclosure, "module," "device," "system," and the like are intended to refer to a computer-related entity, either hardware, a combination of hardware and software, or software in execution. In particular, for example, an element may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. Also, an application or script running on a server, or a server, may be an element. One or more elements may be in a process and/or thread of execution and an element may be localized on one computer and/or distributed between two or more computers and may be operated by various computer-readable media. The elements may also communicate by way of local and/or remote processes based on a signal having one or more data packets, e.g., from a data packet interacting with another element in a local system, distributed system, and/or across a network in the internet with other systems by way of the signal.
As shown in fig. 2, the system includes a video receiving module, an identification and verification module, and a video reporting module.
The video receiving module is used for receiving survey videos sent by the mobile terminal, and the survey videos comprise certificate videos and vehicle videos. After the vehicle owner user takes place the car insurance, accessible APP, public number, applet etc. access system platform report to the attendant, the attendant establishes the work order according to vehicle owner user's report request to call video receiving module guide and receive the survey video that the user shot through mobile terminal.
The identification and verification module is used for carrying out identification and verification on the certificate and the license plate on the certificate video and the vehicle video so as to carry out identity and vehicle checking on a vehicle owner user. After the user uploads the certificate video and the vehicle video, the identification and verification module can identify the certificate and the vehicle in the video, identify the certificate number on the certificate and the license plate number on the license plate through OCR, and compare the certificate number with the user information and the license plate number reserved in the system database.
The video reporting module is used for shielding the license plate in the vehicle video and then sending the processed vehicle video to the background for the damage assessment personnel to assess the damage. The video reporting module identifies vehicles and license plates in the video through an SSD target detection algorithm, simultaneously converts an input target picture through an affine transformation model provided by OpenCV, and shields the license plates in the video frame images through the converted target picture so as to realize license plate confidentiality of the vehicle video uploaded by a user. And then the processed vehicle video is sent to a background for a loss assessment worker to perform loss assessment pricing.
The system provided by the invention carries out identity verification through the identification and verification module, and the verification process does not involve manpower; meanwhile, the license plate information in the vehicle video is shielded and processed through the video uploading module, the fact that personal privacy data contained in the vehicle owner user uploading data can be effectively shielded, and hidden dangers of privacy disclosure of the user are avoided. Therefore, the privacy information of the vehicle master user can be protected in the vehicle remote damage assessment process.
Optionally, in this embodiment, the specific steps of the identification and verification module performing certificate identification and verification on the certificate video include:
sequentially carrying out certificate identification on each frame of image in the certificate video by adopting an SSD algorithm, and identifying the frame image containing the certificate;
calling an OCR module to perform optical character recognition on the frame image containing the certificate, and acquiring the certificate type and the certificate number;
and matching and checking the acquired certificate type and certificate number with the reserved certificate information in the system database.
Optionally, in this embodiment, the recognizing and checking module performs license plate recognition and checking on the vehicle video includes:
sequentially carrying out vehicle identification on each frame of image in the vehicle video by adopting an SSD algorithm;
performing license plate recognition on a frame image containing a vehicle by adopting an SSD algorithm;
calling an OCR module to perform optical character recognition on the frame image of the recognized license plate part to obtain a license plate number on the license plate;
and matching and checking the acquired license plate number with the reserved license plate number in the system database.
Optionally, in this embodiment, the process of shielding the license plate in the vehicle video by the video reporting module includes:
carrying out vehicle identification on each frame of image in a vehicle video, and then carrying out license plate identification on the frame of image containing the vehicle;
the license plate shielding processing is carried out on each frame image containing the license plate, and the license plate shielding processing method comprises the following steps:
determining four vertex coordinates of the license plate and a license plate area formed by the four vertex coordinates by taking the lower left corner of the frame image as a coordinate origin;
and performing affine transformation on a target picture according to the license plate area, putting the transformed target picture into the frame image, and covering the license plate area in the frame image.
Optionally, in this embodiment, the system further includes a work order confirmation module. And the work order confirmation module is used for determining the electronic damage order and sending the electronic damage order to the mobile terminal for the vehicle master user to confirm. And meanwhile, receiving confirmation information sent by the user through the mobile terminal, and writing the electronic damage-assessment list and the confirmation information into a system database for storage.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method for protecting user privacy information during remote loss assessment of a vehicle, comprising:
s1, receiving survey videos sent by the mobile terminal, wherein the survey videos comprise certificate videos and vehicle videos;
s2, carrying out certificate identification and verification on the certificate video, and carrying out license plate identification and verification on the vehicle video;
and S3, if the certificate and the license plate pass the verification, shielding the license plate in the vehicle video, and then sending the processed vehicle video to a background for a damage assessment worker to assess damage.
2. The method for protecting user privacy information during vehicle remote damage assessment as claimed in claim 1, wherein in step S2, certificate identification and verification of said certificate video comprises:
s2-11, sequentially carrying out certificate identification on each frame of image in the certificate video by adopting an SSD algorithm;
s2-12, calling an OCR module to perform optical character recognition on the frame image containing the certificate, and acquiring the certificate type and the certificate number;
and S2-13, matching and checking the certificate type and the certificate number acquired in the step S2-12 with the reserved certificate information in the system database.
3. The method for protecting user privacy information during the vehicle remote damage assessment process according to claim 1, wherein in step S2, the license plate recognition and verification of the vehicle video comprises:
s2-21, sequentially carrying out vehicle identification on each frame of image in the vehicle video by adopting an SSD algorithm;
s2-22, performing license plate recognition on the frame image containing the vehicle by using an SSD algorithm;
s2-23, calling an OCR module to perform optical character recognition on the frame image of the recognized license plate part to obtain the license plate number on the license plate;
and S2-24, matching and checking the license plate number acquired in the step S2-23 with the reserved license plate number in the system database.
4. The method for protecting the user privacy information in the vehicle remote damage assessment process according to claim 1, wherein in the step S3, the blocking process of the license plate in the vehicle video comprises:
s3-1, carrying out vehicle identification on each frame of image in the vehicle video, and then carrying out license plate identification on the frame of image containing the vehicle;
s3-2, performing license plate occlusion processing on each frame image containing the license plate, including:
s3-21, determining four vertex coordinates of the license plate and a license plate area formed by the four vertex coordinates by taking the lower left corner of the frame image as a coordinate origin;
and S3-22, performing affine transformation on a target picture according to the license plate area, putting the transformed target picture into the frame image, and covering the license plate area in the frame image.
5. The method for protecting user privacy information during remote damage assessment of a vehicle according to any of claims 1-4, further comprising:
determining an electronic damage assessment list, and sending the electronic damage assessment list to a mobile terminal for a vehicle supply master user to confirm;
and receiving the confirmation information, and writing the electronic damage-assessment bill and the confirmation information into a system database.
6. A system for protecting user privacy information during remote damage assessment of a vehicle, comprising:
the video receiving module is used for receiving survey videos sent by the mobile terminal, and the survey videos comprise certificate videos and vehicle videos;
the identification and verification module is used for carrying out certificate identification and verification on the certificate video and carrying out license plate identification and verification on the vehicle video;
and the video reporting module is used for shielding the license plate in the vehicle video and then sending the processed vehicle video to a background for a damage assessment worker to assess damage.
7. The system for protecting user privacy information during remote damage assessment of a vehicle according to claim 6, wherein said identification and verification module performing certificate identification and verification of said certificate video comprises:
sequentially carrying out certificate identification on each frame of image in the certificate video by adopting an SSD algorithm;
calling an OCR module to perform optical character recognition on the frame image containing the certificate, and acquiring the certificate type and the certificate number;
and matching and checking the acquired certificate type and certificate number with the reserved certificate information in the system database.
8. The system for protecting user privacy information during remote damage assessment of a vehicle according to claim 6, wherein said identification and verification module performing license plate identification and verification on said vehicle video comprises:
sequentially carrying out vehicle identification on each frame of image in the vehicle video by adopting an SSD algorithm;
performing license plate recognition on a frame image containing a vehicle by adopting an SSD algorithm;
calling an OCR module to perform optical character recognition on the frame image of the recognized license plate part to obtain a license plate number on the license plate;
and matching and checking the acquired license plate number with the reserved license plate number in the system database.
9. The system of claim 6, wherein the video reporting module performs the blocking processing on the license plate in the vehicle video, and the system comprises:
carrying out vehicle identification on each frame of image in the vehicle video, and then carrying out license plate identification on the frame of image containing the vehicle;
the license plate shielding processing is carried out on each frame image containing the license plate, and the license plate shielding processing method comprises the following steps:
determining four vertex coordinates of a license plate and a license plate area formed by the four vertex coordinates by taking the lower left corner of the frame image as a coordinate origin;
and performing affine transformation on a target picture according to the license plate area, putting the transformed target picture into the frame image, and covering the license plate area in the frame image.
10. The system for protecting the privacy information of the user in the remote damage assessment process of the vehicle as claimed in any one of claims 6-9, further comprising a work order confirmation module for determining an electronic damage assessment order, and sending the electronic damage assessment order to a mobile terminal for confirmation by a vehicle main user; and receiving the confirmation information, and writing the electronic damage-assessment bill and the confirmation information into a system database.
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