WO2021073576A1 - 一种智能验车的方法及系统、计算机设备与存储介质 - Google Patents

一种智能验车的方法及系统、计算机设备与存储介质 Download PDF

Info

Publication number
WO2021073576A1
WO2021073576A1 PCT/CN2020/121247 CN2020121247W WO2021073576A1 WO 2021073576 A1 WO2021073576 A1 WO 2021073576A1 CN 2020121247 W CN2020121247 W CN 2020121247W WO 2021073576 A1 WO2021073576 A1 WO 2021073576A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle condition
verification
picture
condition picture
pixel array
Prior art date
Application number
PCT/CN2020/121247
Other languages
English (en)
French (fr)
Inventor
杜连秋
林思蕾
Original Assignee
平安科技(深圳)有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 平安科技(深圳)有限公司 filed Critical 平安科技(深圳)有限公司
Publication of WO2021073576A1 publication Critical patent/WO2021073576A1/zh

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance

Definitions

  • This application relates to the field of image processing technology, in particular to a method and system for intelligent vehicle inspection, computer equipment and storage media.
  • the main technical problem solved by this application is to provide an intelligent vehicle inspection method and system, computer equipment and storage medium, which can solve the problem that the authenticity of the accidental vehicle photos is difficult to verify.
  • a technical solution adopted by this application is to provide an intelligent vehicle inspection method, which includes: capturing the vehicle condition of the damaged vehicle through a user terminal to obtain a first vehicle condition picture, and in the first vehicle condition picture A verification pixel array is added to a preset position to generate a second vehicle condition picture, and the second vehicle condition picture is uploaded to the server; the server parses the second vehicle condition picture to obtain the verification pixel array, and passes the verification The pixel array obtains the time information when the first vehicle condition picture was taken, and verifies it. If the verification passes, it is determined that the second vehicle condition picture is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is taken. It is a fake picture, and the verification pixel array implicitly captures the time information when the first vehicle condition picture is taken.
  • an intelligent vehicle inspection system including: the user terminal can photograph the vehicle condition of the damaged vehicle to obtain the first vehicle condition picture in the first vehicle condition picture.
  • a verification pixel array is added to a preset position of a vehicle condition picture to generate a second vehicle condition picture, and the second vehicle condition picture is uploaded to the server; the server can parse the second vehicle condition picture to obtain the verification pixel array , Obtain the time information when the first vehicle condition picture was taken through the verification pixel array, and verify it. If the verification is passed, it is determined that the picture information is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is Fake pictures.
  • a computer device including a memory and a processor
  • the memory stores computer-readable instructions
  • the processor executes the computer.
  • the steps of an intelligent vehicle inspection method as described below are realized when the instructions are readable:
  • the vehicle condition of the damaged vehicle is captured by the user terminal to obtain a first vehicle condition picture, a verification pixel array is added to a preset position of the first vehicle condition picture to generate a second vehicle condition picture, and the second vehicle condition picture is uploaded to the server;
  • the server side parses the second vehicle condition picture to obtain the verification pixel array, obtains the time information when the first vehicle condition picture was taken through the verification pixel array, and performs verification, and if the verification passes, it is determined
  • the second vehicle condition picture is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is a fake picture;
  • the verification pixel array implies time information when the first vehicle condition picture is taken.
  • the vehicle condition of the damaged vehicle is captured by the user terminal to obtain a first vehicle condition picture, a verification pixel array is added to a preset position of the first vehicle condition picture to generate a second vehicle condition picture, and the second vehicle condition picture is uploaded to the server;
  • the server side parses the second vehicle condition picture to obtain the verification pixel array, obtains the time information when the first vehicle condition picture was taken through the verification pixel array, and performs verification, and if the verification passes, it is determined
  • the second vehicle condition picture is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is a fake picture;
  • the verification pixel array implies time information when the first vehicle condition picture is taken.
  • the user terminal uses the user terminal to capture the damaged vehicle's condition to obtain the first vehicle condition picture, add a verification pixel array at the preset position of the first vehicle condition picture to generate a second vehicle condition picture, and upload the second vehicle condition picture to the server; the server side responds to the second vehicle condition
  • the picture is analyzed to obtain a verification pixel array, and the time information when the first vehicle condition picture is taken is obtained through the verification pixel array, and the verification is performed. If the verification passes, the second vehicle condition picture is judged to be a real shot picture, and if the verification fails, it is judged
  • the second vehicle condition picture is a fake picture. It has the advantages that the verification structure is simple, easy to implement, and high in recognition accuracy, and it is difficult to be found by malicious users, and it is difficult to circumvent it through technical means.
  • FIG. 1 is a schematic flowchart of an embodiment of an intelligent vehicle inspection method according to this application.
  • FIG. 2 is a schematic flowchart of another embodiment of an intelligent vehicle inspection method according to this application.
  • FIG. 3 is a schematic diagram of the principle of an intelligent vehicle inspection method of this application.
  • FIG. 4 is a schematic diagram of the principle of adding a verification pixel array to a photo in a method for intelligent vehicle inspection according to this application;
  • FIG. 5 is a schematic diagram of the principle of the server side parsing the time information in the verification pixel array added in the photo in the method for intelligent vehicle inspection of this application;
  • Fig. 6 is a schematic diagram of the structure of an intelligent vehicle inspection system of this application.
  • Fig. 7 is a schematic structural diagram of an embodiment of a computer device of the present application.
  • FIG. 1 is a schematic flow diagram of an embodiment of an intelligent vehicle inspection method according to this application. It should be noted that if there are substantially the same results, the method of this application does not use the method shown in FIG. The sequence of the process is limited, and the method includes the following steps:
  • S101 Obtain a first vehicle condition picture by photographing the vehicle condition of the damaged vehicle through a user terminal, add a verification pixel array to a preset position of the first vehicle condition picture to generate a second vehicle condition picture, and upload the second vehicle condition picture to the server.
  • the server side parses the second vehicle condition picture to obtain the verification pixel array, obtains the time information when the first vehicle condition picture was taken through the verification pixel array, and performs verification. If the verification passes, It is determined that the second vehicle condition picture is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is a fake picture.
  • the verification pixel array implies time information when the first vehicle condition picture is taken.
  • the first vehicle condition picture is obtained by shooting the condition of the damaged vehicle through the user terminal, and the verification pixel array is added at the preset position of the first vehicle condition picture to generate the second vehicle condition.
  • Picture upload the second car condition picture to the server; the server parses the second car condition picture to obtain a verification pixel array, and obtains the time information when the first car condition picture was taken through the verification pixel array, and verifies it. If the verification passes, It is determined that the second vehicle condition picture is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is a fake picture. It has the advantages that the verification structure is simple, easy to implement, and high in recognition accuracy, and it is difficult to be found by malicious users, and it is difficult to circumvent it through technical means.
  • FIG. 1 is a schematic flow diagram of an embodiment of an intelligent vehicle inspection method according to this application. It should be noted that if there are substantially the same results, the method of this application does not use the method shown in FIG. The sequence of the process is limited, and the method includes the following steps:
  • S101 Obtain a first vehicle condition picture by photographing the vehicle condition of the damaged vehicle through a user terminal, add a verification pixel array to a preset position of the first vehicle condition picture to generate a second vehicle condition picture, and upload the second vehicle condition picture to the server.
  • the camera function of the user terminal can be called through a specific application software, and some restrictions on its shooting process. Specifically, after taking a photo of the vehicle condition of the accident vehicle, the user terminal uses the software program in the specific application software to check the first vehicle condition. Some edits to the picture.
  • the verification pixel array is added to the preset position of the first vehicle condition picture to generate the second vehicle condition picture.
  • the preset position may be a preset position, for example, the number of rows or columns of a specific pixel.
  • the verification pixel array implicitly contains time information when the first vehicle condition picture is taken.
  • the time information may be the local time of the user terminal, or may be time information obtained by requesting a time server.
  • the server after adding a verification pixel array to the preset position of the first car condition picture, after determining the generated second car condition picture, it can be forced or hidden without the user's re-authorization after reminding the user in advance Or agree to upload it to the server to ensure the authenticity of the second vehicle condition picture and prevent the possibility of malicious replacement or modification.
  • the verification pixel array can be added to the edge in the first vehicle condition picture to avoid adverse effects on the pixels of the picture.
  • the server side parses the second vehicle condition picture to obtain the verification pixel array, obtains the time information when the first vehicle condition picture was taken through the verification pixel array, and performs verification. If the verification passes, It is determined that the second vehicle condition picture is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is a fake picture.
  • the server side parses the second vehicle condition picture after receiving it. Specifically, it may be cropped by adding the verification pixel array to the preset position of the first vehicle condition picture, and after obtaining the verification pixel array, read the verification pixel array The time information of the first vehicle condition picture implied in is verified. If the verification is passed, it is determined that the second vehicle condition picture is a real shot picture, and if the verification fails, the second vehicle condition picture is determined to be a fake picture.
  • the verification method may be: judging whether the difference between the time information of the first vehicle condition picture implicit in the verification pixel array and the current time of the server exceeds a preset time limit. If it exceeds, the verification fails. If it does not exceed, the verification is passed.
  • the first vehicle condition picture is obtained by shooting the condition of the damaged vehicle through the user terminal, and the verification pixel array is added at the preset position of the first vehicle condition picture to generate the second vehicle condition.
  • Picture upload the second car condition picture to the server; the server parses the second car condition picture to obtain a verification pixel array, and obtains the time information when the first car condition picture was taken through the verification pixel array, and verifies it. If the verification passes, It is determined that the second vehicle condition picture is a real shot picture, and if the verification fails, it is determined that the second vehicle condition picture is a fake picture. It has the advantages that the verification structure is simple, easy to implement, and high in recognition accuracy, and it is difficult to be found by malicious users, and it is difficult to circumvent it through technical means.
  • Figure 2 is a schematic flowchart of another embodiment of an intelligent vehicle inspection method of this application. It should be noted that if there are substantially the same results, the method of this application is not shown in Figure 1 The sequence of the process is limited, and the method includes the following steps:
  • S201 Take a picture of the vehicle condition of the damaged vehicle through the user terminal to obtain a first vehicle condition picture.
  • the camera function of the user terminal can be called through a specific application software, and some restrictions on its shooting process. Specifically, after taking a photo of the vehicle condition of the accident vehicle, the user terminal uses the software program in the specific application software to check the first vehicle condition. Some edits to the picture.
  • the condition of the damaged vehicle refers to the damaged location of the accident vehicle for which online auto insurance nuclear insurance is to be carried out after an accident, and it may be required to include the overall condition of the vehicle.
  • This information can be in one or more sheets or A holographic photo, etc. to express it.
  • the preset position of the first vehicle condition picture is the first row and the last row of the first vehicle condition picture , At any position in the first column and the last column, while capturing the vehicle condition of the damaged vehicle through the user terminal to obtain the first vehicle condition picture, the time information when the first vehicle condition picture is taken is determined, and the photographing of the first vehicle condition picture is determined.
  • the time information of a vehicle condition picture is converted into a binary value corresponding to the time information, and the binary value of the corresponding time information is represented by a plurality of verification pixels of different colors, and the verification pixels of the plurality of different colors are used as the verification Pixel array. For example, black pixels can be used to represent 0 in binary values, and white pixels can be used to represent 1 in binary values.
  • the verification pixel array 12 is added above the picture 11, that is, the first row of the first vehicle condition picture, so as to generate the second Car condition picture 10.
  • the time information when the first vehicle condition picture was taken is (decimal) a1 is at 18:00 on June 26, 2019, that is after 201906261800 , Convert the time information a1 (decimal) when the first car condition picture was taken into binary, and get the time information a2 (binary) when the first car condition picture was taken, namely 10111100000010100011010000111100101000, and then use the black pixel pia1 to represent the binary value
  • the 0 in the white pixel pia2 represents the 1 in the binary value to obtain the verification pixel array a3, and the verification pixel array a3 is inserted into the preset position of the first vehicle condition picture to obtain the second vehicle condition picture.
  • the user terminal can upload the second vehicle condition picture to the server through a cellular network, WIFI, Bluetooth, or other communication methods.
  • S204 The server side parses the second vehicle condition picture to obtain the verification pixel array.
  • the server side parses the second vehicle condition picture after receiving it. Specifically, it may be cropped by adding the verification pixel array to the preset position of the first vehicle condition picture to obtain the verification pixel array.
  • S205 Detect whether the verification pixel array exists in the second vehicle condition picture, and if the verification pixel array does not exist in the second vehicle condition picture, determine that the second vehicle condition picture is a fake picture.
  • the second car condition picture must have a verification pixel array, if not, it can indicate that the second car condition picture is a fake picture. Specifically, it can be cropped by the pixel row or column at the preset position. After cutting, it is determined whether the verification is to include only black and white pixels. In other embodiments, the color mode of the verification pixel may also be adjusted according to the color of the agreed pixel.
  • the verification pixel array 12 is above the picture 11, and the verification pixel array 12 can be cut down as described above. authenticating.
  • the black pixel pib1 is used to represent the 0 in the binary value
  • the white pixel pib2 is used to represent the 1 in the binary value to obtain the time information b2 (binary) when the first vehicle condition picture is taken, that is, 1011110000001010001101000
  • (Decimal) b3 is 201906261800, that is, 18:00 on June 26, 2019, and 18:00 on June 26, 2019. It is compared with the local time of the server to determine whether the time information when the first vehicle condition picture is taken exceeds the specified time limit; if the time information when the first vehicle condition picture is taken does not exceed the specified time limit, the verification is judged to pass; if the first vehicle condition picture is taken When the time information exceeds the specified time limit, it is judged that the verification has failed.
  • S207 Mark the user of the user terminal as a risk user, and switch the subsequent verification method of the risk user to another verification method.
  • the subsequent verification method for the at-risk user is switched to another verification method.
  • the verification may be conducted in a more rigorous manner, such as manual review, or supplementary manual review, or improving the judgment standard of system review. After rejecting the online review request of risky users, guide their request for offline manual review.
  • the first vehicle condition picture is obtained by shooting the condition of the damaged vehicle through the user terminal, and the verification pixel array is added at the preset position of the first vehicle condition picture to generate the second vehicle condition.
  • the picture, specifically, the preset position of the first car condition picture is any one of the first row, last row, first column and last column of the first car condition picture, and the first car condition picture is obtained by shooting the car condition of the damaged vehicle through the user terminal.
  • the server side analyzes the second car condition picture to obtain a verification pixel array, and obtains the time information when the first car condition picture was taken through the verification pixel array.
  • the second car condition picture information is detected If there is a verification pixel array, the binary value corresponding to the time information represented by the verification pixel array is identified, the binary value of the corresponding time information is converted into the time information when the first car condition picture is taken, and it is judged whether the time information when the first car condition picture is taken exceeds A prescribed time limit; if the time information when the first vehicle condition picture is taken does not exceed the prescribed time limit, then the verification is judged to pass; if the time information when the first vehicle condition picture is taken exceeds the prescribed time limit, the verification is judged to fail.
  • the above method has the advantages of simple verification structure, easy implementation, and high recognition accuracy, and it is difficult for malicious users to discover its existence, and it is difficult to circumvent it through technical means.
  • FIG. 6 is a schematic structural diagram of an intelligent vehicle inspection system according to the present application, in which an intelligent vehicle inspection system 20 includes: a user terminal 21 and a server 22, one of the user terminal 21 and the server 22 Connected between.
  • the user terminal 21 can photograph the vehicle condition of the damaged vehicle to obtain a first vehicle condition picture, add a verification pixel array at a preset position of the first vehicle condition picture to generate a second vehicle condition picture, and upload the second vehicle condition picture to the server;
  • the server 22 can analyze the second vehicle condition picture to obtain a verification pixel array, obtain the time information when the first vehicle condition picture was taken through the verification pixel array, and perform verification. If the verification is passed, the picture information is determined to be a real shot picture. If the verification fails, it is determined that the second vehicle condition picture is a fake picture.
  • a computer device including,
  • One or more processors are One or more processors;
  • the memory is used to store one or more computer-readable instructions to enable one or more processors to implement the aforementioned intelligent vehicle inspection method.
  • FIG. 7 is a schematic structural diagram of an embodiment of a computer device of the present application.
  • the computer device 300 includes a memory 301, a processor 302, and a network interface 303 that are mutually communicatively connected via a system bus. It should be pointed out that the figure only shows the computer device 300 with components 301-303, but it should be understood that it is not required to implement all the illustrated components, and more or fewer components may be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculation and/or information processing in accordance with pre-set or stored instructions. Its hardware includes, but is not limited to, a microprocessor, a dedicated Integrated Circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (FPGA), Digital Signal Processor (DSP), embedded devices, etc.
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • DSP Digital Signal Processor
  • the computer equipment can be computing equipment such as desktop computers, notebooks, palmtop computers, and cloud servers.
  • the computer device can interact with the user through a keyboard, mouse, remote control, touch panel, or voice control device.
  • the memory 301 includes at least one type of readable storage medium.
  • the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory ( SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disks, optical disks, etc.
  • the memory 301 may be an internal storage unit of the computer device 300, such as a hard disk or a memory of the computer device 300.
  • the memory 301 may also be an external storage device of the computer device 300, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), and a secure digital (Secure Digital, SD) card, flash memory card (Flash Card) and so on.
  • the memory 301 may also include both the internal storage unit of the computer device 300 and its external storage device.
  • the memory 301 is generally used to store an operating system and various application software installed in the computer device 300, such as computer-readable instructions for a verification method for the exchange of financial data.
  • the memory 301 can also be used to temporarily store various types of data that have been output or will be output.
  • the processor 302 may be a central processing unit (Central Processing Unit) in some embodiments. Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip.
  • the processor 302 is generally used to control the overall operation of the computer device 300.
  • the processor 302 is configured to execute computer-readable instructions or process data stored in the memory 302, for example, computer-readable instructions for executing a verification method for the exchange of financial data.
  • the network interface 303 may include a wireless network interface or a wired network interface, and the network interface 303 is generally used to establish a communication connection between the computer device 300 and other electronic devices.
  • the present application also provides another implementation manner, that is, a computer-readable storage medium is provided.
  • the computer-readable storage medium may be non-volatile or volatile.
  • the computer-readable storage medium stores a verification process for the exchange of financial data, and the verification process for the exchange of financial data can be executed by at least one processor, so that the at least one processor executes the above-mentioned The steps of the verification method for the exchange of financial data.
  • the method of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. ⁇
  • the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes a number of instructions to enable a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods of the various embodiments of the present application.
  • a terminal device which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Finance (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Multimedia (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Technology Law (AREA)
  • General Business, Economics & Management (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Traffic Control Systems (AREA)

Abstract

一种智能验车的方法及系统、计算机设备与存储介质。该方法采用如下步骤:通过用户终端拍摄受损车辆的车况获得第一车况图片,在第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将第二车况图片上传至服务器端(S101);服务器端对第二车况图片进行解析,获得验证像素阵列,通过验证像素阵列获得拍摄第一车况图片时的时间信息,并进行验证,若验证通过,则判定该第二车况图片为实拍图片,若验证失败,则判定该第二车况图片为虚假图片(S102)。该方法具有核验结构简单,容易实现,且识别精度高,难以被恶意用户发现其存在也难以通过技术手段绕开的优点。

Description

一种智能验车的方法及系统、计算机设备与存储介质
本申请要求于2019年10月16日提交中国专利局、申请号为201910982142.5,发明名称为“一种智能验车的方法及系统、计算机设备与存储介质”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及图像处理技术领域,特别是涉及一种智能验车的方法及系统、计算机设备与存储介质。
背景技术
车辆在行驶过程中难免会遇到车辆刮伤、磕碰等各种问题,这时就需要通过报销车险降低一部分损失,然而因为利益关系,保险公司不能排除存在恶意骗保的可能,所以报销车险时往往需要人工现场进行核险,确认事故车辆的真实情况。
随着社会生活水平的不断提高,越来越多的家庭都买上了私有的车辆,便于人们的日常出行。导致车辆的基数越来越大,也给保险公司人工进行车险核险的工作带来了困难,随着互联网技术的进步,现在出现了一些通过网上拍摄事故车辆图片上传到保险公司的服务器,保险公司利用图像识别和人工智能技术进行车险审核,这种大大降低了传统人工现场进行核险,确认事故车辆的真实情况对保险公司的负担,但是发明人意识到这种核险方式却加大了恶意骗保的机会,存在难以排除或避免的保险公司被恶意用户骗保套取保险金的风险,恶意用户往往可以通过直接上传或通过技术手段绕开保险公司对软件所设的限制上传虚假的事故车辆照片。
技术问题
通过服务器验证用户上传的事故车辆照片的过程中,存在恶意用户通过直接上传或通过技术手段绕开保险公司对软件所设的限制上传虚假的事故车辆照片的问题。
技术解决方案
本申请主要解决的技术问题是提供一种智能验车的方法及系统、计算机设备与存储介质,能够解决事故车辆照片的真实性难以核验的问题。
为解决上述技术问题,本申请的采用的一个技术方案是:提供一种智能验车的方法,包括:通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片,所述验证像素阵列隐含拍摄所述第一车况图片时的时间信息。
其中,为解决上述技术问题,本申请的采用的另一个技术方案是:提供一种智能验车的系统,包括:所述用户终端能够拍摄受损车辆的车况获得第一车况图片在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;所述服务器端能够对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该图片信息为实拍图片,若验证失败,则判定该第二车况图片为虚假图片。
其中,为解决上述技术问题,本申请的采用的另一个技术方案是:提供一种计算机设备,包括存储器和处理器,所述存储器中存储有计算机可读指令,所述处理器执行所述计算机可读指令时实现如下所述的一种智能验车的方法的步骤:
通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;
所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片;
其中,所述验证像素阵列隐含拍摄所述第一车况图片时的时间信息。
其中,为解决上述技术问题,本申请的采用的另一个技术方案是:提供一种计算机可读存储介质,所述计算机可读存储介质上存储有计算机可读指令,所述计算机可读指令被处理器执行时实现如下所述的一种智能验车的方法的步骤:
通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;
所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片;
其中,所述验证像素阵列隐含拍摄所述第一车况图片时的时间信息。
有益效果
通过用户终端拍摄受损车辆的车况获得第一车况图片,在第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将第二车况图片上传至服务器端;服务器端对第二车况图片进行解析,获得验证像素阵列,通过验证像素阵列获得拍摄第一车况图片时的时间信息,并进行验证,若验证通过,则判定该第二车况图片为实拍图片,若验证失败,则判定该第二车况图片为虚假图片。具有核验结构简单,容易实现,且识别精度高,难以被恶意用户发现其存在也难以通过技术手段绕开的优点。
附图说明
为了更清楚地说明本申请的方案,下面将对实施例描述中所需要使用的附图作一个简单介绍,显而易见地,下面描述中的附图是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1为本申请的一种智能验车的方法一实施例的流程示意图;
图2为本申请的一种智能验车的方法另一实施例的流程示意图;
图3为本申请的一种智能验车的方法的原理示意图;
图4为本申请的一种智能验车的方法中用户终端在照片中添加验证像素阵列的原理示意图;
图5为本申请的一种智能验车的方法中服务器端解析照片中添加的验证像素阵列中的时间信息的原理示意图;
图6为本申请的一种智能验车系统的结构示意图;
图7是本申请的一种计算机设备的一实施例的结构示意图。
本发明的最佳实施方式
请参阅图1,图1为本申请的一种智能验车的方法一实施例的流程示意图,需注意的是,若有实质上相同的结果,本申请的方法并不以图1所示的流程顺序为限,该方法包括如下步骤:
本实施方式的一种智能验车的方法,采用如下步骤核验事故车辆的照片的真实性:
S101:通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端。
S102:所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片。其中,所述验证像素阵列隐含拍摄所述第一车况图片时的时间信息。
综上所述,本实施例中的一种智能验车的方法,通过用户终端拍摄受损车辆的车况获得第一车况图片,在第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将第二车况图片上传至服务器端;服务器端对第二车况图片进行解析,获得验证像素阵列,通过验证像素阵列获得拍摄第一车况图片时的时间信息,并进行验证,若验证通过,则判定该第二车况图片为实拍图片,若验证失败,则判定该第二车况图片为虚假图片。具有核验结构简单,容易实现,且识别精度高,难以被恶意用户发现其存在也难以通过技术手段绕开的优点。
本发明的实施方式
除非另有定义,本文所使用的所有的技术和科学术语与属于本申请技术领域的技术人员通常理解的含义相同;本文中在申请的说明书中所使用的术语只是为了描述具体的实施例的目的,不是旨在于限制本申请;本申请的说明书和权利要求书及上述附图说明中的术语“包括”和“具有”以及它们的任何变形,意图在于覆盖不排他的包含。本申请的说明书和权利要求书或上述附图中的术语“第一”、“第二”等是用于区别不同对象,而不是用于描述特定顺序。
在本文中提及“实施例”意味着,结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例,也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是,本文所描述的实施例可以与其它实施例相结合。
下面结合附图和实施方式对本申请进行详细说明。
请参阅图1,图1为本申请的一种智能验车的方法一实施例的流程示意图,需注意的是,若有实质上相同的结果,本申请的方法并不以图1所示的流程顺序为限,该方法包括如下步骤:
本实施方式的一种智能验车的方法,采用如下步骤核验事故车辆的照片的真实性:
S101:通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端。
其中,可以通过特定应用软件调取用户终端的相机功能,并对其拍摄过程进行一些约束,具体的,在拍摄事故车辆的车况照片后,用户终端通过特定应用软件内的软体程序对第一车况图片进行一些编辑。
进一步地,是在第一车况图片的预设位置添加验证像素阵列生成第二车况图片,预设位置可以是一个预先设定的位置,例如:特定地像素的行数或列数。验证像素阵列为之中隐含有拍摄第一车况图片时的时间信息,该时间信息可以为用户终端的本地时间,也可以是通过向时间服务器请求后获得的时间信息。
在一些实施例中,在对第一车况图片的预设位置添加验证像素阵列后,确定生成的第二车况图片后,可以在经过预先向用户提醒后,强制或隐藏的,不经用户再次授权或同意即上传至服务器端,以确保第二车况图片的真实性,防止被恶意替换或修改的可能。
在一些实施例中,验证像素阵列可以添加在第一车况图片中的边缘,避免对图片的像素造成不良影响。
S102:所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片。
其中,服务器端接收到对第二车况图片后对其进行解析,具体的,可以是对第一车况图片添加验证像素阵列的预设位置进行裁切,得到验证像素阵列之后,读取验证像素阵列中隐含的第一车况图片时的时间信息,进行验证,若验证通过,则判定该第二车况图片为实拍图片,若验证失败,则判定该第二车况图片为虚假图片。
在一些实施例中,验证方式可以为:判断该验证像素阵列中隐含的第一车况图片时的时间信息与服务器当前时间之间的差值是否超过预设的时限,如超过,则验证失败,如未超过,则验证通过。
    综上所述,本实施例中的一种智能验车的方法,通过用户终端拍摄受损车辆的车况获得第一车况图片,在第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将第二车况图片上传至服务器端;服务器端对第二车况图片进行解析,获得验证像素阵列,通过验证像素阵列获得拍摄第一车况图片时的时间信息,并进行验证,若验证通过,则判定该第二车况图片为实拍图片,若验证失败,则判定该第二车况图片为虚假图片。具有核验结构简单,容易实现,且识别精度高,难以被恶意用户发现其存在也难以通过技术手段绕开的优点。
请参阅图2,图2为本申请的一种智能验车的方法另一实施例的流程示意图,需注意的是,若有实质上相同的结果,本申请的方法并不以图1所示的流程顺序为限,该方法包括如下步骤:
本实施方式的一种智能验车的方法,采用如下步骤核验事故车辆的照片的真实性:
S201:通过用户终端拍摄受损车辆的车况获得第一车况图片。
其中,可以通过特定应用软件调取用户终端的相机功能,并对其拍摄过程进行一些约束,具体的,在拍摄事故车辆的车况照片后,用户终端通过特定应用软件内的软体程序对第一车况图片进行一些编辑。
在一些实施例中,受损车辆的车况是指,发生事故后欲进行线上车险核险的事故车辆的受损位置,以及可能要求包括整体的车况,这些信息可以以一张或多张或一张全息照片等方式予以表达。
S202:在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,具体的,所述第一车况图片的预设位置为所述第一车况图片的第一行、最后一行、第一列和最后一列中任意一位置,在通过用户终端拍摄受损车辆的车况获得第一车况图片的同时,确定拍摄所述第一车况图片时的时间信息,将所述拍摄所述第一车况图片时的时间信息转化为对应时间信息的二进制值,通过若干个不同的颜色的验证像素表征所述对应时间信息的二进制值,将所述若干个不同的颜色的验证像素作为所述验证像素阵列。例如:可以通过黑色像素表征二进制数值中的0,通过白色像素表征二进制数值中的1。
为了更好的理解上述技术特征,请一并参阅图3,在一些实施例中,在图片11的上方,也就是第一车况图片的第一行的添加验证像素阵列12,从而生成生成第二车况图片10。
为了更好的理解上述技术特征,请一并参阅图4,在一些实施例中,
在通过用户终端拍摄受损车辆的车况获得第一车况图片的同时,确定拍摄所述第一车况图片时的时间信息为(十进制)a1为2019年06月26日18时00分,即201906261800之后,将拍摄所述第一车况图片时的时间信息a1(十进制)转化为二进制,得到拍摄所述第一车况图片时的时间信息a2(二进制),即10111100000010100011010000111100101000,然后,通过黑色像素pia1表征二进制数值中的0,通过白色像素pia2表征二进制数值中的1,得到验证像素阵列a3,将验证像素阵列a3插入第一车况图片的预设位置后得到第二车况图片。
S203:将所述第二车况图片上传至服务器端。
其中,用户终端可以通过蜂窝网络或WIFI、蓝牙等通讯方式将第二车况图片上传至服务器端。
S204:所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列。
其中,服务器端接收到对第二车况图片后对其进行解析,具体的,可以是对第一车况图片添加验证像素阵列的预设位置进行裁切,得到验证像素阵列之后。
S205:检测所述第二车况图片是否存在所述验证像素阵列,若所述第二车况图片中不存在所述验证像素阵列,则判定所述第二车况图片为虚假图片。
其中,因为按照约定的方式中,第二车况图片必然会存在验证像素阵列,如无,则能够表示该第二车况图片为虚假图片,具体地,可以通过在预设位置的像素行或者列裁切后,判断是是否只包含黑白像素进行验证,在其他实施例中,也可根据约定的像素的颜色的不同对验证像素的颜色方式进行调整。
为了更好的理解上述技术特征,请一并参阅图3,在一些实施例中,第二车况图片10中,验证像素阵列12在图片11的上方,可以将验证像素阵列12裁减下如上述方式进行验证。
S206:若检测到所述第二车况图片信息中存在所述验证像素阵列,则识别所述验证像素阵列表征的所述对应时间信息的二进制值,将所述对应时间信息的二进制值转换为所述拍摄所述第一车况图片时的时间信息,判断拍摄所述第一车况图片时的时间信息是否超过规定时限;若所述拍摄所述第一车况图片时的时间信息未超过所述规定时限,则判断验证通过;若所述拍摄所述第一车况图片时的时间信息超过所述规定时限,则判断验证失败。
为了更好的理解上述技术特征,请一并参阅图4,在一些实施例中,
服务器端得到验证像素阵列b1之后,通过黑色像素pib1表征二进制数值中的0,通过白色像素pib2表征二进制数值中的1,得到拍摄所述第一车况图片时的时间信息b2(二进制),即1011110000001010001101000
0111100101000,将其转化为十进制,得到拍摄所述第一车况图片时的时间信息为(十进制)b3为201906261800,即2019年06月26日18时00分,将2019年06月26日18时00分与服务器端本地时间进行对比,判断拍摄第一车况图片时的时间信息是否超过规定时限;若拍摄第一车况图片时的时间信息未超过规定时限,则判断验证通过;若拍摄第一车况图片时的时间信息超过规定时限,则判断验证失败。
S207:将所述用户终端的用户标记为风险用户,对所述风险用户的后续验证方式转为其他验证方式。
在一些实施例中,对所述风险用户的后续验证方式转为其他验证方式,具体可以为,以更加严格的方式进行审核,如人工审核、或补充人工审核、或提高系统审核的判断标准,在拒绝风险用户线上审核请求后,引导其请求进行线下人工审核。
综上所述,本实施例中的一种智能验车的方法,通过用户终端拍摄受损车辆的车况获得第一车况图片,在第一车况图片的预设位置添加验证像素阵列生成第二车况图片,具体的,第一车况图片的预设位置为第一车况图片的第一行、最后一行、第一列和最后一列中任意一位置,在通过用户终端拍摄受损车辆的车况获得第一车况图片的同时,确定拍摄第一车况图片时的时间信息,将拍摄第一车况图片时的时间信息转化为对应时间信息的二进制值,通过若干个不同的颜色的验证像素表征对应时间信息的二进制值,将若干个不同的颜色的验证像素作为验证像素阵列。然后将第二车况图片上传至服务器端;服务器端对第二车况图片进行解析,获得验证像素阵列,通过验证像素阵列获得拍摄第一车况图片时的时间信息,若检测到第二车况图片信息中存在验证像素阵列,则识别验证像素阵列表征的对应时间信息的二进制值,将对应时间信息的二进制值转换为拍摄第一车况图片时的时间信息,判断拍摄第一车况图片时的时间信息是否超过规定时限;若拍摄第一车况图片时的时间信息未超过规定时限,则判断验证通过;若拍摄第一车况图片时的时间信息超过规定时限,则判断验证失败。以上方法,具有核验结构简单,容易实现,且识别精度高,难以被恶意用户发现其存在也难以通过技术手段绕开的优点。
请参阅图6,图6为本申请的一种智能验车的系统的结构示意图,其中,一种智能验车的系统20包括:用户终端21和服务器端22,用户终端21和服务器端22之间通过连接。
用户终端21能够拍摄受损车辆的车况获得第一车况图片在第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将第二车况图片上传至服务器端;
服务器端22能够对第二车况图片进行解析,获得验证像素阵列,通过验证像素阵列获得拍摄第一车况图片时的时间信息,并进行验证,若验证通过,则判定该图片信息为实拍图片,若验证失败,则判定该第二车况图片为虚假图片。
一种计算机设备,包括,
一个或多个处理器;
存储器,用于存储一个或多个计算机可读指令,使得一个或多个处理器实现上述的一种智能验车的方法。
请参阅图7,图7是本申请一种计算机设备的一实施例的结构示意图。
计算机设备300包括通过系统总线相互通信连接存储器301、处理器302、网络接口303。需要指出的是,图中仅示出了具有组件301-303的计算机设备300,但是应理解的是,并不要求实施所有示出的组件,可以替代的实施更多或者更少的组件。其中,本技术领域技术人员可以理解,这里的计算机设备是一种能够按照事先设定或存储的指令,自动进行数值计算和/或信息处理的设备,其硬件包括但不限于微处理器、专用集成电路(Application Specific Integrated Circuit,ASIC)、可编程门阵列(Field-Programmable Gate Array,FPGA)、数字处理器 (Digital Signal Processor,DSP)、嵌入式设备等。
计算机设备可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。计算机设备可以与用户通过键盘、鼠标、遥控器、触摸板或声控设备等方式进行人机交互。
存储器301至少包括一种类型的可读存储介质,可读存储介质包括闪存、硬盘、多媒体卡、卡型存储器(例如,SD或DX存储器等)、随机访问存储器(RAM)、静态随机访问存储器(SRAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、可编程只读存储器(PROM)、磁性存储器、磁盘、光盘等。在一些实施例中,存储器301可以是计算机设备300的内部存储单元,例如该计算机设备300的硬盘或内存。在另一些实施例中,存储器301也可以是计算机设备300的外部存储设备,例如该计算机设备300上配备的插接式硬盘,智能存储卡(Smart Media Card, SMC),安全数字(Secure Digital, SD)卡,闪存卡(Flash Card)等。当然,存储器301还可以既包括计算机设备300的内部存储单元也包括其外部存储设备。本实施例中,存储器301通常用于存储安装于计算机设备300的操作系统和各类应用软件,例如金融数据的交换的校验方法的计算机可读指令等。此外,存储器301还可以用于暂时地存储已经输出或者将要输出的各类数据。
处理器302在一些实施例中可以是中央处理器(Central Processing Unit,CPU)、控制器、微控制器、微处理器、或其他数据处理芯片。该处理器302通常用于控制计算机设备300的总体操作。本实施例中,处理器302用于运行存储器302中存储的计算机可读指令或者处理数据,例如运行金融数据的交换的校验方法的计算机可读指令。
所述网络接口303可包括无线网络接口或有线网络接口,该网络接口303通常用于在所述计算机设备300与其他电子设备之间建立通信连接。
本申请还提供了另一种实施方式,即提供一种计算机可读存储介质,所述计算机可读存储介质可以是非易失性,也可以是易失性。所述计算机可读存储介质存储有金融数据的交换的校验的流程,所述金融数据的交换的校验的流程可被至少一个处理器执行,以使所述至少一个处理器执行如上述的金融数据的交换的校验方法的步骤。
通过以上的实施方式的描述,本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现,当然也可以通过硬件,但很多情况下前者是更佳的实施方式。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中,包括若干指令用以使得一台终端设备(可以是手机,计算机,服务器,空调器,或者网络设备等)执行本申请各个实施例的方法。
显然,以上所描述的实施例仅仅是本申请一部分实施例,而不是全部的实施例,附图中给出了本申请的较佳实施例,但并不限制本申请的专利范围。本申请可以以许多不同的形式来实现,相反地,提供这些实施例的目的是使对本申请的公开内容的理解更加透彻全面。尽管参照前述实施例对本申请进行了详细的说明,对于本领域的技术人员来而言,其依然可以对前述各具体实施方式所记载的技术方案进行修改,或者对其中部分技术特征进行等效替换。凡是利用本申请说明书及附图内容所做的等效结构,直接或间接运用在其他相关的技术领域,均同理在本申请专利保护范围之内。

Claims (20)

  1. 一种智能验车的方法,包括:
    通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;
    所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片;
    其中,所述验证像素阵列隐含拍摄所述第一车况图片时的时间信息。
  2. 根据权利要求1所述的一种智能验车的方法,其中,在所述第一车况图片的预设位置添加验证像素阵列,包括:
    所述第一车况图片的预设位置为所述第一车况图片的第一行、最后一行、第一列和最后一列中任意一位置。
  3. 根据权利要求1所述的一种智能验车的方法,其中,在所述第一车况图片的预设位置添加验证像素阵列,包括:
    在通过用户终端拍摄受损车辆的车况获得第一车况图片的同时,确定拍摄所述第一车况图片时的时间信息,将所述拍摄所述第一车况图片时的时间信息转化为对应时间信息的二进制值,通过若干个不同的颜色的验证像素表征所述对应时间信息的二进制值,将所述若干个不同的颜色的验证像素作为所述验证像素阵列。
  4. 根据权利要求3所述的一种智能验车的方法,其中,通过不同的颜色构成的验证像素阵列表征所述对应时间信息的二进制值,包括:
    通过黑色像素表征二进制数值中的0,通过白色像素表征二进制数值中的1。
  5. 根据权利要求3所述的一种智能验车的方法,其中,服务器端对所述第二车况图片进行解析之后,包括:
    检测所述第二车况图片是否存在所述验证像素阵列,若所述第二车况图片中不存在所述验证像素阵列,则判定所述第二车况图片为虚假图片。
  6. 根据权利要求5所述的一种智能验车的方法,其中,检测所述第二车况图片是否存在所述验证像素阵列,包括:
    若检测到所述第二车况图片信息中存在所述验证像素阵列,则识别所述验证像素阵列表征的所述对应时间信息的二进制值,将所述对应时间信息的二进制值转换为所述拍摄所述第一车况图片时的时间信息,判断拍摄所述第一车况图片时的时间信息是否超过规定时限;
    若所述拍摄所述第一车况图片时的时间信息未超过所述规定时限,则判断验证通过;
    若所述拍摄所述第一车况图片时的时间信息超过所述规定时限,则判断验证失败。
  7. 根据权利要求6所述的一种智能验车的方法,其中,若验证失败,则判定该第二车况图片为虚假图片之后,包括:
    将所述用户终端的用户标记为风险用户,对所述风险用户的后续验证方式转为其他验证方式。
  8. 一种智能验车系统,包括用户终端和服务器端,所述用户终端能够拍摄受损车辆的车况获得第一车况图片在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;
    所述服务器端能够对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该图片信息为实拍图片,若验证失败,则判定该第二车况图片为虚假图片。
  9. 一种计算机设备,包括存储器和处理器,所述存储器中存储有计算机可读指令,所述处理器执行所述计算机可读指令时实现如下所述的一种智能验车的方法的步骤:
    通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;
    所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片;
    其中,所述验证像素阵列隐含拍摄所述第一车况图片时的时间信息。
  10. 根据权利要求9所述的一种计算机设备,其中,在所述第一车况图片的预设位置添加验证像素阵列,包括:
    所述第一车况图片的预设位置为所述第一车况图片的第一行、最后一行、第一列和最后一列中任意一位置。
  11. 根据权利要求9所述的一种计算机设备,其中,在所述第一车况图片的预设位置添加验证像素阵列,包括:
    在通过用户终端拍摄受损车辆的车况获得第一车况图片的同时,确定拍摄所述第一车况图片时的时间信息,将所述拍摄所述第一车况图片时的时间信息转化为对应时间信息的二进制值,通过若干个不同的颜色的验证像素表征所述对应时间信息的二进制值,将所述若干个不同的颜色的验证像素作为所述验证像素阵列。
  12. 根据权利要求11所述的一种计算机设备,其中,通过不同的颜色构成的验证像素阵列表征所述对应时间信息的二进制值,包括:
    通过黑色像素表征二进制数值中的0,通过白色像素表征二进制数值中的1。
  13. 根据权利要求11所述的一种计算机设备,其中,服务器端对所述第二车况图片进行解析之后,包括:
    检测所述第二车况图片是否存在所述验证像素阵列,若所述第二车况图片中不存在所述验证像素阵列,则判定所述第二车况图片为虚假图片。
  14. 根据权利要求13所述的一种计算机设备,其中,检测所述第二车况图片是否存在所述验证像素阵列,包括:
    若检测到所述第二车况图片信息中存在所述验证像素阵列,则识别所述验证像素阵列表征的所述对应时间信息的二进制值,将所述对应时间信息的二进制值转换为所述拍摄所述第一车况图片时的时间信息,判断拍摄所述第一车况图片时的时间信息是否超过规定时限;
    若所述拍摄所述第一车况图片时的时间信息未超过所述规定时限,则判断验证通过;
    若所述拍摄所述第一车况图片时的时间信息超过所述规定时限,则判断验证失败。
  15. 根据权利要求14所述的一种计算机设备,其中,若验证失败,则判定该第二车况图片为虚假图片之后,包括:
    将所述用户终端的用户标记为风险用户,对所述风险用户的后续验证方式转为其他验证方式。
  16. 一种计算机可读存储介质,所述计算机可读存储介质上存储有计算机可读指令,所述计算机可读指令被处理器执行时实现如下所述的一种智能验车的方法的步骤:
    通过用户终端拍摄受损车辆的车况获得第一车况图片,在所述第一车况图片的预设位置添加验证像素阵列生成第二车况图片,将所述第二车况图片上传至服务器端;
    所述服务器端对所述第二车况图片进行解析,获得所述验证像素阵列,通过所述验证像素阵列获得拍摄所述第一车况图片时的时间信息,并进行验证,若验证通过,则判定该所述第二车况图片为实拍图片,若验证失败,则判定该所述第二车况图片为虚假图片;
    其中,所述验证像素阵列隐含拍摄所述第一车况图片时的时间信息。
  17. 根据权利要求16所述的一种计算机可读存储介质,其中,在所述第一车况图片的预设位置添加验证像素阵列,包括:
    所述第一车况图片的预设位置为所述第一车况图片的第一行、最后一行、第一列和最后一列中任意一位置。
  18. 根据权利要求16所述的一种计算机可读存储介质,其中,在所述第一车况图片的预设位置添加验证像素阵列,包括:
        在通过用户终端拍摄受损车辆的车况获得第一车况图片的同时,确定拍摄所述第一车况图片时的时间信息,将所述拍摄所述第一车况图片时的时间信息转化为对应时间信息的二进制值,通过若干个不同的颜色的验证像素表征所述对应时间信息的二进制值,将所述若干个不同的颜色的验证像素作为所述验证像素阵列。
  19. 根据权利要求18所述的一种计算机可读存储介质,其中,通过不同的颜色构成的验证像素阵列表征所述对应时间信息的二进制值,包括:
    通过黑色像素表征二进制数值中的0,通过白色像素表征二进制数值中的1。
  20. 根据权利要求18所述的一种计算机可读存储介质,其中,服务器端对所述第二车况图片进行解析之后,包括:
    检测所述第二车况图片是否存在所述验证像素阵列,若所述第二车况图片中不存在所述验证像素阵列,则判定所述第二车况图片为虚假图片。
PCT/CN2020/121247 2019-10-16 2020-10-15 一种智能验车的方法及系统、计算机设备与存储介质 WO2021073576A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910982142.5 2019-10-16
CN201910982142.5A CN111027371A (zh) 2019-10-16 2019-10-16 一种智能验车的方法及系统、计算机设备与存储介质

Publications (1)

Publication Number Publication Date
WO2021073576A1 true WO2021073576A1 (zh) 2021-04-22

Family

ID=70205067

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/121247 WO2021073576A1 (zh) 2019-10-16 2020-10-15 一种智能验车的方法及系统、计算机设备与存储介质

Country Status (2)

Country Link
CN (1) CN111027371A (zh)
WO (1) WO2021073576A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111027371A (zh) * 2019-10-16 2020-04-17 平安科技(深圳)有限公司 一种智能验车的方法及系统、计算机设备与存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101149813A (zh) * 2007-07-13 2008-03-26 中兴通讯股份有限公司 一种矩阵式彩色二维条形码的编解码方法
CN104079830A (zh) * 2014-06-30 2014-10-01 广东欧珀移动通信有限公司 暗码添加方法和装置、暗码照片处理方法和装置
CN105354773A (zh) * 2015-10-28 2016-02-24 重庆邮电大学 一种用于交通事故现场证据保全及验证的系统
CN106097103A (zh) * 2016-06-01 2016-11-09 深圳市永兴元科技有限公司 机动车辆车险赔偿策略确定方法和装置
WO2018205467A1 (zh) * 2017-05-10 2018-11-15 平安科技(深圳)有限公司 车损部位的识别方法、系统、电子装置及存储介质
CN111027371A (zh) * 2019-10-16 2020-04-17 平安科技(深圳)有限公司 一种智能验车的方法及系统、计算机设备与存储介质

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170109853A1 (en) * 2015-03-20 2017-04-20 Andromaque J. Ferdinand Methods And Systems For Verification Of A User's Identity
CN105429959B (zh) * 2015-11-02 2019-08-16 北京旷视科技有限公司 图像处理方法及客户端设备、图像验证方法及服务器
CN108090747B (zh) * 2018-01-25 2022-02-01 中国平安财产保险股份有限公司 车险核保的自助验车方法、装置、设备和计算机存储介质
CN109886010B (zh) * 2019-01-28 2023-10-17 平安科技(深圳)有限公司 验证图片发送方法、合成方法及装置、存储介质和终端

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101149813A (zh) * 2007-07-13 2008-03-26 中兴通讯股份有限公司 一种矩阵式彩色二维条形码的编解码方法
CN104079830A (zh) * 2014-06-30 2014-10-01 广东欧珀移动通信有限公司 暗码添加方法和装置、暗码照片处理方法和装置
CN105354773A (zh) * 2015-10-28 2016-02-24 重庆邮电大学 一种用于交通事故现场证据保全及验证的系统
CN106097103A (zh) * 2016-06-01 2016-11-09 深圳市永兴元科技有限公司 机动车辆车险赔偿策略确定方法和装置
WO2018205467A1 (zh) * 2017-05-10 2018-11-15 平安科技(深圳)有限公司 车损部位的识别方法、系统、电子装置及存储介质
CN111027371A (zh) * 2019-10-16 2020-04-17 平安科技(深圳)有限公司 一种智能验车的方法及系统、计算机设备与存储介质

Also Published As

Publication number Publication date
CN111027371A (zh) 2020-04-17

Similar Documents

Publication Publication Date Title
WO2019205376A1 (zh) 车损判定方法、服务器及存储介质
WO2019104930A1 (zh) 一种身份鉴定方法、电子装置及计算机可读存储介质
WO2018028546A1 (zh) 一种关键点的定位方法及终端、计算机存储介质
KR101723709B1 (ko) 이미지 기반 금융 처리
US10410053B2 (en) Method, apparatus, system, and storage medium for detecting information card in image
WO2019076114A1 (zh) 一种证件验证、身份验证方法和装置
WO2019076115A1 (zh) 一种证件验证、身份验证方法和装置
WO2020082731A1 (zh) 电子装置、证件识别方法及存储介质
WO2021110174A1 (zh) 图像识别方法、装置、电子设备和存储介质
WO2021017272A1 (zh) 病理图像标注方法、装置、计算机设备及存储介质
WO2021184847A1 (zh) 一种遮挡车牌字符识别方法、装置、存储介质和智能设备
JP2021517303A (ja) 閾値ベースのマッチングによる遠隔ユーザの身元確認
WO2021212873A1 (zh) 证件四角残缺检测方法、装置、设备及存储介质
WO2019169767A1 (zh) 色情图片鉴定方法、电子装置及可读存储介质
CN110795714A (zh) 一种身份验证方法、装置、计算机设备及存储介质
CN105354773A (zh) 一种用于交通事故现场证据保全及验证的系统
WO2020143165A1 (zh) 一种翻拍图像的识别方法、系统及终端设备
WO2020233009A1 (zh) 身份验证方法、装置、计算设备和存储介质
CN113642639B (zh) 活体检测方法、装置、设备和存储介质
CN114663871A (zh) 图像识别方法、训练方法、装置、系统及存储介质
CN112487982A (zh) 商户信息的审核方法、系统和存储介质
CN113239339A (zh) 证件拍摄方法、装置、计算机设备及存储介质
WO2021073576A1 (zh) 一种智能验车的方法及系统、计算机设备与存储介质
CN113177701A (zh) 一种用户信用评估方法和装置
US11869072B2 (en) System for facilitating mobile home purchase transactions

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20877261

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20877261

Country of ref document: EP

Kind code of ref document: A1