KR20160018944A - Method of generating a preliminary estimate list from the mobile device recognizing the accident section of the vehicle - Google Patents

Abstract

The present invention relates to a method of providing a list of preliminary estimation from a mobile device by recognizing damaged parts of a vehicle. The method comprises the following steps: executing an application for estimation on the main screen of the mobile device; inputting an image of a vehicle targeted to be serviced or an image of a vehicle having an accident on site using the application for estimation executed on the mobile device; extracting a type of vehicle which is identical to the targeted vehicle with the images of the vehicle targeted to be serviced or the vehicle having an accident as a standard; extracting distorted areas among areas targeted to be serviced after comparing the standard images with the images of the vehicle targeted to be serviced or the vehicle having an accident; displaying a top choice group corresponding to top component parts of the extracted distorted areas and a bottom choice group corresponding to bottom component parts of the top component parts on the main screen; displaying an estimation list of detailed options corresponding to the bottom choice group selected among the groups said above; producing a list of preliminary estimation for the vehicle targeted to be serviced or the vehicle having an accident based on the choice made in the estimation list of detailed options; and providing the estimation list for a main server (300) to receive estimated fees computed based on the list of preliminary estimation from the main server.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a method and apparatus for recognizing an accident area of a vehicle,

The present invention relates to a method of recognizing a vehicle accident area and generating an estimate list on a mobile device. More particularly, the present invention relates to a method of directly photographing an accident vehicle or a vehicle to be repaired on the spot, And recognizes the region accurately, thereby generating a list of estimates.

The conventional estimating program of the vehicle to be used is generally used by an expert estimator since the list of parts to be quoted is text-based. Therefore, there is a problem that the general staff outside the professional quotation at the automobile maintenance office can not use the text-based quotation program (because there are too many kinds of automobile parts and know the parts specific names for each part).

Japanese Patent Application Laid-Open No. 2002-329101 (entitled " Automobile Repair Quote System < / RTI > Korean Patent Laid-Open Publication No. 2012-0132457 (entitled " Vehicle Maintenance Estimate List Generation Method " Korean Patent Laid-Open Publication No. 2013-0002048 (entitled " Vehicle Maintenance Estimate List Generator "

SUMMARY OF THE INVENTION Accordingly, the present invention has been made in an effort to solve the above problems, and it is an object of the present invention to provide an image pickup apparatus capable of directly shooting an accident vehicle or a vehicle to be repaired on the spot, Can provide an invention that can make a quote.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

The above-described object of the present invention can be achieved by a mobile device comprising: a step of executing a quotation application on a main screen of a mobile device; inputting an image of an accident vehicle or a repair target vehicle photographed in the field using a mobile device or an executed quotation application; Or a reference vehicle, which is a vehicle of the same type as the vehicle to be repaired, based on the image of the vehicle to be repaired, comparing the image of the reference vehicle with the image of the accident vehicle or the vehicle to be repaired, Extracting a transformed transformed region of the candidate region for the repair region, selecting a transformed transformed region from the transformed transformed region, The selected sub-group is selected according to the selection of any one of the sub- A step of displaying a quote detail option item corresponding to the selected group, a step of generating a quote list for an accident vehicle or a maintenance subject vehicle according to the selection of the quote detailed option item, and the step of providing a quote list to the main server 300 , Receiving from the main server 300 a quotation amount of the vehicle calculated based on the estimate list, and recognizing the accident area of the vehicle, thereby generating a list of estimates in the mobile device .

In addition, the step of inputting the images of the accident vehicle or the maintenance target vehicle photographed in the field includes the step of normalizing the input image of the accident vehicle or the maintenance vehicle while removing noise from the image.

In addition, the image input screen for inputting the image of the accident vehicle or the maintenance target vehicle is divided into at least one or more divided screens, and after clicking any one of the divided screens, the image of the accident vehicle or the maintenance target vehicle And a file is loaded and inputted.

Further, when any one of the divided screens is clicked, the camera is converted into a camera, and the accident vehicle or the vehicle to be repaired is immediately photographed and input on the spot.

Further, the divided screen is provided with a number input screen for inputting an image of an accident vehicle or a license plate of a vehicle to be repaired.

Further, the deformation area includes an outer steel plate of the broken or crushed vehicle and a part of the vehicle disposed under the outer steel plate.

Also, before the deformation area is extracted, the scale of the reference vehicle is controlled so that the scale of the accident vehicle or the vehicle to be repaired becomes the same size.

Also, the number plate of the photographed vehicle input on the number input screen is characterized by continuously searching the area or the vertical line and the horizontal line where the light and dark change occurs in the photographed image, and recognizing the area as a license plate candidate area.

Further, the present invention is characterized by recognizing letters and numbers corresponding to numbers and characters by using OCR (Optical Character Recognition) technology in a candidate area for a license plate of a vehicle.

Further, it is characterized in that the outline of the frame and the part of the vehicle is extracted from the image of the accident vehicle or the vehicle to be repaired, and the deformation area is extracted by comparing the extracted frame of the vehicle and the outline of the part with the outline extracted from the reference image do.

In addition, the vehicle number of the vehicle recognized or inputted through the number input screen is linked to the vehicle information providing service provided by the vehicle information system of the Ministry of Land Transport and Traffic, or the information of the automobile inputted to the Ministry of Land Transport and Transportation .

As described above, according to the present invention, a user can easily make a list of estimates of a vehicle through a mobile device in the field, as well as quickly and accurately check an estimate amount.

FIG. 1 is a flowchart sequentially illustrating a method of recognizing an accident site of a vehicle according to the present invention,
Figure 2 is a diagram illustrating a quote application in accordance with the present invention,
3 is a view showing a divided screen according to the present invention,
FIG. 4 is a diagram for dragging to select an upper icon according to the present invention,
FIG. 5 is a diagram for dragging to select an upper icon and a lower icon according to the present invention,
FIG. 6 is a diagram illustrating various icon icons displayed on the icon display screen according to the present invention,
FIG. 7 is a view showing a quote detailed option item according to the present invention,
FIG. 8 is a diagram showing a final estimate list according to the present invention,
9 is a diagram for explaining a method of matching an icon and a database according to the present invention.
FIG. 10 is a diagram for explaining a mobile device for recognizing an accident area of a vehicle according to the present invention and generating a list of estimated prices.

Hereinafter, a preferred embodiment of the present invention will be described with reference to the drawings. In addition, the embodiment described below does not unduly limit the content of the present invention described in the claims, and the entire structure described in this embodiment is not necessarily essential as the solution means of the present invention.

The present invention relates to a method for generating an estimate list on a mobile device by recognizing an accident area of a vehicle and directly generating an estimate list for the accident vehicle based on the taken image, It is an invention to generate a quotation amount in real time through an enemy list.

Hereinafter, a method for recognizing a vehicle accident area according to the present invention and generating a list of estimates in a mobile device will be described in detail with reference to the accompanying drawings.

As shown in FIGS. 1 to 10, the quotation application executed on the mobile device according to the present invention is a mobile-based mobile OS (Operating System) or an Android OS (Operating System) It is possible to access the estimating amount based on the estimation list of the accident vehicle on the spot in real time.

The user clicks the quotation application 111 among various applications installed on the main screen of the mobile device 100 (S100).

When the quotation application 111 is executed, a video input screen 112 for inputting an image of an accident vehicle or a vehicle to be repaired photographed in the field is displayed (S110).

Here, the accident vehicle or the vehicle to be repaired can be photographed using a camera disposed in the mobile device 100 in the field and can store photographed images. The photographed image may be a picture file or a moving picture file.

As shown in FIG. 3, the image input screen 112 may be divided into at least one or more divided screens 112.

Accordingly, the user can click on any one of the split screens 113 and then retrieve and input an image file of the accident vehicle or the maintenance target vehicle photographed and stored in the field in advance.

Also, if any one of the split screens 113 is clicked, the camera can be switched to directly shoot an accident vehicle or a maintenance target vehicle in the field and input the same.

At this time, the divided screen 113 may guide the user to input the entire image of the accident vehicle or the vehicle to be repaired, a partial image of the damaged vehicle, an enlarged image obtained by enlarging the damaged portion, and the like.

In addition, a number input screen capable of inputting an image of an accident vehicle or a license plate of a vehicle to be repaired can be separately arranged on the divided screen 113 divided into at least one or more.

The number plate of the vehicle photographed here is extracted from the photographed image of the license plate candidate area of rectangular shape, and the color between the character and the background clearly differs. Accordingly, the region where the light and dark changes continuously occur in the photographed image can be accurately recognized and extracted as the license plate candidate region.

Or, in the photographed image, the license plate candidate area has almost no vertical line on the front side of the vehicle besides the license plate frame, so that it can be recognized as a license plate candidate area by searching the vertical line and the horizontal line.

In addition, since the license plate area composed of a rectangle in the license plate candidate area photographed at the front side of the vehicle has a constant horizontal to vertical ratio (for example, the ratio of the horizontal to the vertical length in the case of a white new license plate is 2: 1) The candidate region for the license plate of the vehicle can be clearly detected.

As described so far, by using OCR (Optical Character Recognition) technology in a candidate area for a license plate of a vehicle that is clearly extracted from the images of the vehicle, characters and numbers corresponding to numbers and characters are recognized .

In addition, by applying a template for recognizing a character by inputting a standard pattern of characters in a number plate candidate region of the photographed image, characters and numbers in the license plate of the vehicle can be recognized as regions and converted. Accordingly, the color information of the license plate area of the passenger car can be used as white or green, and in the case of business use, the color information can be used.

As such, the recognized vehicle number can be easily confirmed by interlocking the information of the automobile inputted to the Ministry of Land, Transport and Maritime Affairs at the time of registration of the domestic vehicle, such as the vehicle information providing service of the automobile complaint national portal provided by the vehicle information system of the Ministry of Land Transportation.

Accordingly, it is possible to confirm the purchase date, vehicle type, and yearly type of the vehicle without inputting the information about the accident vehicle or the maintenance target vehicle separately.

In addition, a character input icon 113a for allowing the user to directly input the vehicle number of the vehicle or a voice input icon for inputting the vehicle number of the vehicle by the voice of the user is further provided at the bottom of the image input screen 112 .

The character input icon 113a or the voice input icon can be easily clicked when a malfunction occurs or is not recognized in the process of recognizing the license plate of the vehicle through the number input screen.

In addition, the vehicle number of the vehicle may be inputted through the character inputting icon 113a or the voice input icon, and may be provided by the vehicle information system of the Ministry of Land, Transport and Maritime Affairs, Can be easily confirmed by interlocking the information.

Although the image input screen 112 has been described as being divided into at least one or more divided screens 113, the present invention is not limited thereto, and the image input screen 112 can be sequentially displayed.

For example, the entire image of the accident vehicle or the vehicle to be repaired, a partial image of the damaged vehicle, a partially enlarged image of enlarged the damaged portion, a number input screen for inputting the number of the vehicle, and the like can be sequentially displayed.

In addition, when photographing an accident vehicle or a car to be repaired, it is preferable to photograph the damaged part of the vehicle at various angles while photographing the vehicle while raising the illuminance, which is brightness of light, so that the broken part of the vehicle can be well displayed.

When the images of the vehicle photographed at various angles are input to the image input screen 112 in a state where the illuminance is raised, the images of the vehicle are pre-processed. By thus pre-processing the images of the vehicle, it is possible to separate and remove unnecessary information so as to easily extract essential information from the image of the input vehicle. Therefore, only desired information can be quickly, accurately, and easily extracted and normalized through an image of an accident vehicle or an object of maintenance.

In the process of preprocessing, images of an accident vehicle or maintenance vehicle photographed in 2D may be converted into stereoscopic 3D. In this way, when the image of the vehicle photographed in 2D is converted into stereoscopic 3D, the damaged part of the vehicle can be more accurately confirmed or inferred.

Also, in the preprocessing process, specifications such as the shape, length, and configuration of the accident vehicle or the maintenance target vehicle can be provided with a 2D drawing (jpg or dwg) through the vehicle manufacturer.

In this way, the 2D drawings provided by the vehicle manufacturer can be transferred to an accident vehicle or a maintenance target vehicle using a geometric model such as AUTO CAD (Computer Aided Design) and CATIA (Computer Aided Three Dimensional Interactive Application) The information can be configured in 2D or 3D so that information about the reference vehicle can be constructed.

Therefore, various simulations can be performed in 2D or 3D depending on the state of the accident vehicle or the vehicle under repair.

In addition, candidate regions for the repair area of the reference vehicle and the repair target vehicle, which are vehicles of the same type as the accident vehicle or the repair target vehicle, are extracted based on the image of the accident vehicle or the repair target vehicle to be preprocessed (S120).

That is, it is possible to analyze the image of an accident vehicle or a maintenance target vehicle to set a reference vehicle, which is a vehicle of the same type. Thus, when the reference vehicle is set, the repair area can be extracted if the accident vehicle or the repair target vehicle is damaged and must be repaired.

Here, the information about the reference vehicle is stored in the main server 300 in real time. That is, the main server 300 can update the information about the reference vehicle in real time through the vehicle manufacturer. At this time, the information about the reference vehicle may be a 2D 2D file or a 3D 3D file. Here, the reference vehicle having three-dimensional 3D can not only rotate the reference vehicle at various angles, but also can simulate a certain portion to be enlarged.

Further, the image of the reference vehicle to be extracted is pre-processed. Thus, by pre-processing the image of the reference vehicle, it is possible to select the repair area as a color different from that of the reference vehicle so as to easily extract essential information of the vehicle, or to form the repair area, thereby separating and removing unnecessary information.

Accordingly, the repair area can be displayed in a color different from that of the reference vehicle so as to be easily displayed in the reference vehicle. Or may be enlarged and displayed when a repair area is selected.

4, the image of the reference vehicle is compared with the image of the accident vehicle or the vehicle to be repaired to extract the damaged or distorted deformation area 121 of the repair area of the accident vehicle or the repair vehicle (S140) . The deformation area 121 is extracted as follows.

At this time, in order to compare the image of the reference vehicle, the captured image of the accident vehicle or the maintenance target vehicle can remove the portion and the background which are not included in the comparison including the background in the captured image.

In order to effectively extract or track the deformation area 121 on the boundary of the outline and the main part of such an accident vehicle or the vehicle to be repaired, a unique and unique point (corner) is obtained by using the second derivative of the image brightness value such as the Harris corner method .

Accordingly, it is possible to easily extract the frame and the outline of the vehicle included in the photographed image.

As described above, when the outlines of the frame and the parts of the vehicle are extracted, it is possible to easily extract the broken or distorted deformation regions 121 by comparing them with the outline extracted from the reference image.

In addition, a method of detecting an outline can be a normalized moment method in which a calculation is performed using a preman chain or all the pixels of an outline.

At this time, the deformation area 121 may include an outer steel plate of a broken or crushed vehicle and a part of a vehicle disposed under the outer steel plate.

In addition, the deformation area 121 may include a frame structure of the vehicle supporting the broken or crushed outer steel plate, peripheral parts of the vehicle that are connected to the parts of the broken vehicle or disposed around the parts of the broken vehicle.

That is, the deformation area 121 can identify the difference from the reference vehicle by comparing the information of the reference vehicle stored in the main server 300 with the information of the repair area obtained through the photographing. In addition, the deformation area 121 and parts of the maintenance target area included in the repair area can be confirmed.

The deformation area 121 can confirm the connection and fastening between the parts using the 2D or 3D drawings constituting the reference vehicle and the relationship between the parts according to the performance of the functions.

Also, by using the geometric model, it is possible to easily confirm the mechanical and material element analysis such as the stress distribution and the crash analysis according to the characteristics (material, shape, function) of the components constituting the reference vehicle.

Thus, it is possible to precisely confirm the damage of the component included in the deformation area 121 and the component that may be additionally caused due to the deformation area 121.

At this time, in order to more accurately extract the deformation area 121, it is desirable to control so that the scale of the reference vehicle and the scale of the accident vehicle or the maintenance target vehicle are substantially the same size. In other words, since the scales of the reference vehicle, the accident vehicle, and the vehicle to be serviced are adjusted to be substantially the same size and then compared, the deformation area can be relatively accurately confirmed in the repair area, so that the deformation area 121 can be extracted more accurately .

In addition, damage information for an existing accident vehicle is accumulated based on the information of the reference vehicle to calculate the accident type for the accident vehicle (for example, the area where the accident occurred in the target vehicle and the vehicle speed at the time of the accident, And information on the shape and material of the substrate.

Accordingly, it is possible to obtain additional information such as a deformation pattern of the deformation area 121 and deformation of a damaged part and a frame structure when an accident occurs in the reference vehicle, and accumulate the deformation pattern to accumulate the damage information of the deformation area 121 .

As described above, when the deformation area 121 is extracted, the damage information on the accident vehicle or the repair target vehicle can be relatively accurately confirmed.

When at least one deformation area 121 is displayed as shown in FIG. 4, the user can drag and select one direction using a finger or a corresponding tool.

In addition, the deformation area 121 can be enlarged by double-clicking or enlarged using two fingers of the user.

As described above, when the deformation area 121 is enlarged, the user can understand the damage information about the accident vehicle or the repair target vehicle more clearly and easily.

Subsequently, the upper selection group corresponding to the upper part part and the lower selection group corresponding to the lower part part of the upper part part for the extracted transformation area 121 are displayed on the main screen.

5, when the user's finger is dragged upward in the upper direction icon (B), which is the upper selection group corresponding to the upper part part, the reference vehicle corresponding to the uppermost part part of the upper part part is moved in the two- When the user's finger is dragged downward on the upper icon B, the sub icon b corresponding to the lower part part of the upper part part is displayed.

At this time, one upper icon 122A can be displayed on the main screen as shown in (a) of Fig. 6, and two upper icons 122B can be displayed on the display And three upper icons 122C can be displayed, as shown in Fig. 6 (c). Although only the upper icons 122A, 122B, and 122C are described here, the lower icons may also be displayed substantially the same as the upper icons 122A, 122B, and 122C.

Although the upper icons 122A, 122B, and 122C and the lower icons are displayed by dragging in the vertical direction, the upper icons 122A, 122B, and 122C and the lower icons may be displayed by dragging in the left and right directions have.

The upper and lower icons operating on the main screen will be described in detail as follows.

When the deformation area 121 is clicked, the top icon corresponding to the top ten part parts can be switched to be displayed.

Here, the upper icons 122A, 122B, and 122C may be displayed only one per screen, as shown in FIG. 6A, or a plurality of the icons may be displayed as shown in FIG. 6B or FIG. The top icons corresponding to the top ten part parts can be displayed in order. The number of parent icons displayed at this time may be different depending on the reference vehicle.

For example, the top icon can be divided into a front group, a side group, a roof panel, a rear group, an indoor group, a battle group, a trip group, a glass group, an engine group, and a transmission group.

Clicking one of the top icons corresponding to the top 10 part parts displays the sub icon for the clicked top icon. These sub icons may also be displayed one by one on the screen or displayed plural times in substantially the same manner as the upper icons, and the sub icons may be displayed in order while dragging the user's finger in one direction. The number of sub icons displayed at this time may be different depending on the reference vehicle.

Here, the upper icon means that the top 10 parts of the reference vehicle are iconized, and the lower icon means that the 10 upper part parts are again hierarchically subdivided into their respective icons. Therefore, among the parent icons, the icon selected by the user can be classified and displayed as a sub-icon corresponding to the sub-part part again. At this time, the upper icon may have a lower icon of the lower layer or the upper icon may have a lower icon depending on the reference vehicle.

In the embodiment of the present invention, the upper icon and the lower icon are classified into two hierarchical levels. However, when the parts of the vehicle are complicated, they may be classified into three or more stages as necessary. For example, Icon-parent icon-child icon ".

For example, when the front area is the deformation area 121, when the deformation area 121 of the reference vehicle is clicked, it is switched to the front group icon which is the top icon and is displayed.

Thereafter, when the front group icon to be displayed is clicked, one of the sub-icons corresponding to the lower layer of the front group icon is displayed, and a plurality of sub-icons are selected while dragging the user's finger in one direction.

At this time, the sub-icon of the front group icon consists of approximately 18 parts, of which the front bumper icon area is clicked in order to select the front bumper, and it is automatically entered into the detailed detail option item. A detailed description thereof will be described later.

Although the car icon, the top icon and the sub icon described above are described in the case of pictures, the characters and pictures may be used in combination.

That is, the top icon and the bottom icon are embodied in the figure and can be easily selected by the user. In this way, when the upper or lower icons are embodied in pictures, the user can easily select a quote part to be listed on the quotation list. However, since the model is displayed as a three-dimensional solid icon, It may impose a burden on execution speed.

Therefore, the burden of the execution speed can be minimized by replacing the upper icon with a character or replacing at least one of the upper icons with a character.

As an example, there are a front group and an engine group which can be easily understood by the general public, and these front groups and engine groups can be implemented as letters instead of pictures. Characters can be implemented simply on the basis of the text of the "front group", "engine group", and can be passed to the sub-icon when selecting a character.

On the other hand, it is possible to easily generate a quotation list by simultaneously transmitting a graphic feeling and a character to a user by arranging characters on an upper icon or a lower icon formed by a picture.

For example, the front bumper can be used in combination with the letters "front bumper", which is shown at the bottom of the figure and figure.

If you click the front bumper icon which is the sub icon, it can be displayed and converted to the display screen of the quote detail option item.

Based on the selection of the quotation detailed option item, a list of estimated quotations for the accident vehicle or the maintenance subject vehicle is generated.

Also, the maintenance work method can be configured by desorption, green, reference, user labor, painting (exchange), painting (sheet metal), and the user can select at least one of these configurations.

At this time, detachment is to disassemble and separate the parts for repairing, and then to assemble the parts again. The green is to repair the sheet metal without replacing the parts, and when the new car paper is released, new parts can be added. The quotation list program provider provides the standard staff time, and the user labor is to add the user labor (standard labor time) freely to the maintenance office using the quotation list program, and the stamp (exchange) Since it is shipped without paint, it is to paint the color of the replaced parts after replacing the parts, and the painting (sheet metal) is to repaints the color of the sheet metal parts when the parts are plated for maintenance.

Thus, when the selection of the maintenance work method is completed, an estimate list is generated.

Here, the calculated quotation list is calculated based on the parts ratio of the spare parts, the time required for the spare parts, the paint material cost for painting, and the time required for painting.

 At this time, one of the standard labor hours made by the government affiliated organizations in 2005 or after 2005 can be used to calculate the time labor cost, and the time labor cost can be calculated by multiplying the standard labor time by the cost.

In addition, the cost includes the cost of the technician for parts and processes necessary to restore the damaged vehicle, such as repairs and painting, Can be measured through actual measurement. The measured and measured data can be statistically processed to satisfy the requirement with a certain reliability.

In order to calculate the quotation list described so far, the file corresponding to the finally selected sub icon and the database of the working condition selected in the detailed option item must match each other.

As shown in FIG. 9, the upper icon and the lower icon may be stored in the file DB in the drawing DB. One of the sub icons can be managed by a file name (e.g., P001.jpg), a sub icon name (e.g., a front bumper), and the like. In the data DB, various required DBs (e.g., paint DBs) are stored separately from standard time DBs for each reference vehicle, work condition DBs, and the like.

Therefore, the drawing DB and the data DB can be matched with each other using XML.

Although not shown in FIG. 9, a variety of DBs such as a coating DB (for example, a material cost for painting, a labor time for painting) or a material cost DB for each part may be implemented in various required DBs. If a painting is selected in the working condition, the painting DB is matched by XML, so that the estimation list can be calculated.

It will be apparent to those skilled in the art that the above-described various DBs can separately store data separately for each reference vehicle, and can also be matched to characters other than the above-described picture.

The estimated quotation list generated in this way can be provided to the main server 300 together with the image of the vehicle photographed directly on the spot.

The main server 300 can carefully examine the image and the image of the image photographed directly in the field, and calculate the estimate amount of the vehicle with respect to the reviewed estimation list and provide it to the mobile device 100. [

Accordingly, the user can easily check the estimate amount of the vehicle with respect to the estimate list using the mobile device 100. [

A mobile device 100 capable of recognizing an accident site of a vehicle according to the present invention and generating an estimate list is as follows.

10, the mobile device 100 for recognizing an accident site of a vehicle according to the present invention and generating an estimate list includes a photographing device 101, an execution control device 102, and a communication device 103 ) To generate an estimate of the accident vehicle or the vehicle to be repaired.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. However, the overlapping description with the description of the method of generating the estimate list by the mobile device 100 by recognizing the accident site of the vehicle according to the embodiment of the present invention described above will be omitted.

The mobile device 100 for recognizing the accident site of the vehicle according to the present invention and generating the estimate list may include all portable terminal devices that the user can carry. Such a portable terminal device may be any device capable of executing an application such as a smart phone or a smart pad.

Hereinafter, the expression "means" is used for explaining various functions, but the expression of such means will be described separately for convenience of explanation. However, the means described separately may be embodied in one apparatus or may be embodied in two or more apparatuses.

First, the photographing means 101 according to the present invention may be embodied in a camera capable of directly photographing an accident vehicle or a vehicle to be repaired in the field, and may be formed in the mobile device 100. The photographing means 101 formed on the mobile device 100 can photograph an accident vehicle or a vehicle to be repaired in the field and provide the shot image to the execution control means 102 to be described later. The image photographed here may be a photograph or a moving image.

The execution control means 102 extracts a reference vehicle, which is a vehicle of the same type, on the basis of the image of the accident vehicle or the vehicle to be repaired by receiving the image photographed by the photographing means 101, The image of the vehicle to be repaired is compared to extract the deformation area. Here, the execution control means 102 divides the upper part part of the accident vehicle or the deformation area and the lower part part of the upper part part on the basis of the deformation area, and generates a quotation list for repairing the accident vehicle or the repairing vehicle Run the application. The detailed description of extracting the deformation area has been described above, and therefore, it is omitted here.

The execution control means 102 may include a display means 102a, an interface means 102b and a generation means 102c.

The display means 102a displays the extracted reference vehicle, and compares the image of the reference vehicle with the image of the accident vehicle or the vehicle to be repaired to display a deformed deformation region of the candidate region for the repair region. At this time, the display means 102a displays on the screen the upper selection group corresponding to the upper part part of the deformation area obtained by dividing the deformation area into a plurality of parts and the lower selection group corresponding to the lower part part of the upper part part.

This display means 102a may be embodied as a touch screen formed on the mobile device 100. [ In addition, the display means 102a is divided into a plurality of divided screens on the image input screen, and images are input or deleted independently for each divided screen.

The top icon, which is the upper selection group corresponding to the upper part part of the deformation area explained in the present invention, is a part in which each part of the vehicle is divided into approximately upper 10 parts, Each of which is further subdivided into a vertical hierarchical structure. The number of upper icons and sub icons may vary depending on the model of the vehicle.

The interface means 102b causes the lower selected group to be displayed on the screen according to the selection of at least one of the upper selected groups. This interface means 102b is represented by an upper icon or a lower icon, but may be embodied as a figure or a letter. More specifically, the upper icon or the lower icon indicates a command to be provided to the mobile device 100 as a character or a picture, and the command can be executed by selecting an icon with the user's finger or a corresponding device.

Accordingly, the top icon or the sub icon of the present invention can be classified into a picture or a character, and when the user touches the top icon with a finger or a corresponding device, a sub icon formed in a vertical hierarchical structure can be selected on the screen.

As described above, although the top icon or the sub icon formed by pictures or characters is not shown, it is possible to display 2D, 3D (3D) images through the graphic engine for the reference vehicle stored in the storage means disposed in the mobile device 100 or the main server 300 And display it on the main screen of the mobile device 100.

The generation means 102c can confirm the difference from the reference vehicle by comparing the information of the reference vehicle stored in the main server 300 with the information of the repair region obtained through photographing in the deformation area. As a result, it is possible to confirm the parts of the repair target area included in the deformation area and the repair area.

Also, the generating means 102c can confirm the connection and fastening between the parts and the relationship between the parts using the 2D or 3D drawings constituting the reference vehicle in the deformation area. The detailed description has been described above and will be omitted.

In addition, the generation means 102c accumulates the damage information for the existing accident vehicle based on the information of the reference vehicle to calculate the accident type for the accident vehicle (for example, the area where the accident occurred in the target vehicle and the vehicle speed , Crash vehicle, or information about the shape and material of the object). At this time, the generating means 102c can receive various information from the main server 300 by using the communication means 103 to receive all the information about the reference vehicle, the accident vehicle, or the vehicle to be repaired.

This generating means 102c can generate a hypothesis list based on the selection of at least one of the sub-selected groups.

The communication means 103 provides the main server 300 with an estimate list generated by the generation means 102c and a video of the vehicle photographed directly on the spot and is calculated based on the estimate list from the main server 300 You will be provided with a quotation for the vehicle. In this manner, when the estimated amount is provided from the main server 300 through the communication means 103, it is displayed on the mobile device 100 via the display means 102a.

Accordingly, the user can easily check the estimate amount of the vehicle with respect to the estimate list through the mobile device 100. [

Although the present invention has been described with reference to the embodiment thereof, the present invention is not limited thereto, and various modifications and applications are possible. In other words, those skilled in the art can easily understand that many variations are possible without departing from the gist of the present invention.

100: mobile device
101: photographing means
102: execution control means
102a: display means
102b: interface means
102c: means for generating
103: Communication means
111: Quote application
121:
122: Top Icon
122A, 122B, 122C, and B: a top icon
b: Sub icon

Claims (11)

Executing a quotation application on a main screen of the mobile device;
Inputting images of accident vehicles or maintenance vehicles photographed in the field using the mobile device or the quote application to be executed;
Extracting a reference vehicle that is a vehicle of the same type as the accident vehicle or the vehicle to be repaired based on the image of the accident vehicle or the vehicle to be repaired;
Comparing the image of the reference vehicle with the image of the accident vehicle or the image of the vehicle to be inspected to extract a deformed deformation area of the candidate area for the accident area or the repair area of the vehicle;
Displaying an upper selection group corresponding to an upper part part and a lower selection group corresponding to a lower part part of the upper part part on the main screen;
Displaying an estimate detailed option item corresponding to the selected lower selected group according to the selection of any one of the lower selected groups;
Generating an estimate list for the accident vehicle or the vehicle subject to the selection of the estimate detailed option item; And
Providing the estimate list to the main server 300 and receiving a quotation amount of the vehicle calculated based on the estimate list from the main server 300;
And generating a list of estimated quotations in the mobile device.
The method according to claim 1,
And normalizing the image of the accident vehicle or the image of the maintenance target vehicle, which has been taken in the field, after removing the noise of the accident vehicle or the image of the maintenance target vehicle inputted after the input of the image of the vehicle, A method for recognizing an accident site and generating an estimate list on a mobile device.
The method of claim 2,
Wherein the image input screen for inputting the image of the accident vehicle or the vehicle to be repaired is divided into at least one or more divided screens and the accidental vehicle or the maintenance object The vehicle image file is retrieved and inputted. The method as claimed in claim 1, further comprising:
The method of claim 2,
When the user clicks any one of the split screens, the camera is switched to the scene, and the accident vehicle or the vehicle to be repaired is immediately photographed and input in the field, and the list of accidents is recognized by the mobile device Way.
The method of claim 4,
A number input screen capable of inputting an image of the accident vehicle or a license plate of the vehicle to be repaired is arranged on the divided screen, .
The method according to claim 1,
Wherein the deformation area includes an outer steel plate of a broken or crushed vehicle and a part of a vehicle disposed under the outer steel plate.
The method according to claim 1,
The scale of the reference vehicle and the scale of the vehicle to be serviced have the same magnitude before extracting the deformation area. The method of claim 1, How to.
The method of claim 3,
Wherein the number plate of the photographed vehicle input on the number input screen is recognized as a license plate candidate area by searching an area or a vertical line and a horizontal line continuously changing in light and darkness in the photographed image and recognizing the accident area of the vehicle Lt; RTI ID = 0.0 > mobile device. ≪ / RTI >
The method of claim 8,
Recognizing a character and a number of a part corresponding to a number and a character using an OCR (Optical Character Recognition) technique in a candidate area for the license plate of the vehicle, A method for creating a list on a mobile device.
The method of claim 9,
The vehicle number of the vehicle recognized or inputted through the number input screen is linked to the information of the vehicle information providing service of the automobile complaint national portal provided by the vehicle information system of the Ministry of Land Transport and Traffic or the information of the automobile inputted to the Ministry of Land, Wherein the mobile device recognizes an accident site of the vehicle and generates an estimate list at the mobile device.
The method of claim 8,
Extracting an outline of a frame and a part of the vehicle from the image of the accident vehicle or the image of the vehicle to be cleaned, comparing the extracted frame of the vehicle and an outline of the part with an outline extracted from the reference image, Extracting an estimated location of the vehicle from the estimated location of the vehicle;

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