KR20230036299A - Method and device for detecting defects on outside of buildings through drone photography and measuring size using lasers - Google Patents

Abstract

According to the present invention, disclosed are a method and a device for detecting defects outside a building through drone photography and measuring the size thereof by using laser. The device comprises: an aircraft photographing the outer wall of a building while flying along a preset route; a difference comparison unit comparing the difference between defective parts and non-defective parts in a building surface image captured by the aircraft; a defect recognition unit provided in the aircraft, measuring the depth of a defect by transmitting laser and receiving reflected waves if a result of the comparing of the difference comparison unit is determined as the defect, and recognizing the result as the defect if there is a difference in depth; a defect size measurement unit measuring the size of the defect recognized by the defect recognition unit; and a defect determination unit comparing the depth and size of the defective parts measured by the defect recognition unit and the defect size measurement unit with reference values, and determining whether there is a defect. Therefore, the device enables the difference comparison unit to compare the difference between the defective parts and the non-defective parts in the building surface image captured by the aircraft, enables the defect recognition unit to measure the depth of a defect by transmitting laser and receiving reflected waves if a result of the comparing is determined as the defect, and to recognize the result as the defect if there is a difference in depth, can measure the size of the defect recognized by the defect recognition unit, thereby preventing unnecessary work, and can use, as standards, the size for measurements for readouts such as the length and width of cracks, the size of separated finishing materials, and erroneous construction.

Description

Detecting defects on the outside of buildings through drone filming and size measurement method and device using laser

The present invention relates to a method and apparatus for detecting defects outside a building through drone photography and measuring the size using a laser, and more particularly, after discovering defects outside a building through drone photography for safety diagnosis of an aging building, using a laser It relates to a method and device for measuring the size of a defect through

In general, a diagnosis method for confirming defects and repairs in a building is in progress in a method of visually inspecting, taking and recording individual pictures of abnormal parts, and checking and reporting the defective parts directly using gauges for measurement data.

In the conventional building diagnosis method, the visual inspection of low-rise buildings is relatively easy for workers to diagnose because the height of the floor is low during visual diagnosis. There are many risks and inefficiencies in the work.

Therefore, the current trend is to use drones when diagnosing buildings, and it is being improved in the form of flying a drone equipped with a high-resolution camera for imaging, photographing the wall of a building, and reading and reporting the photographed data.

In this way, a technology for inspecting defects in buildings using drones has been proposed in Korean Patent Publication No. 2021-0053509.

In Patent Document 1, a defect area is extracted through image analysis of a video taken by a drone of a defect in a building, and then the defect area is extracted, and even if there is no defect, the defect is analyzed, so unnecessary work is performed, resulting in inefficiency.

Korean Patent Publication No. 2021-0053509 (2021.05.12)

The present invention has been devised in view of the above points, and the problem of the present invention is to find a defect by inspection if it is suspected to be a defect on the outer wall of the building, and then measure the size and depth of the defect through a laser. The purpose of this study is to provide a size measurement method and device using a laser and detecting defects on the outside of a building through drone photography that can prevent work.

In order to achieve the above object, an apparatus for detecting defects outside a building and measuring a size using a laser according to the present invention includes an aircraft that photographs an outer wall of a building while flying along a preset path; a difference comparison unit that compares a difference between a defective part and a non-defective part in the building surface image taken by the aircraft; a flaw recognition unit provided in the aircraft and, if the result compared by the difference comparator is suspected to be a defect, measures the depth by a reflected wave that transmits and receives a laser, and recognizes the difference in depth as a defect; a defect size measuring unit for measuring the size of the defect recognized by the defect recognizing unit; and a defect determining unit which compares the depth and size of the defective portion measured by the defect recognizing unit and the defect size measurement unit with a reference value and determines whether or not there is a defect.

The difference comparator may determine whether or not there is a defect by comparing at least one condition among color, saturation, and lightness.

The defect size measuring unit may measure the size of the defect through a figure formed by a line laser or a laser thickness in an image taken from the aircraft.

The defect size measurer may calculate the area of the defect through the length of the defect according to the continuous arrangement and the length and width of the defect after locating the figure formed by crossing the line lasers at the location of the defect.

The defect size measuring unit may compare and measure the thickness of the defect of the building based on the laser thickness through light spreading generated according to the irradiation distance of the laser.

In addition, the method of detecting defects on the exterior of a building through drone photography and measuring the size using a laser of the present invention includes a first step of photographing the surface of the building while the aircraft flies; A second step of comparing defective areas and non-defective areas in the building surface image captured by the aircraft; A third step of comparing the defective area with the non-defective area and then discovering a suspected defect area according to the result; a fourth step of measuring the depth of the defect by transmitting a laser to the suspected defect area and receiving a reflected wave; A fifth step of measuring the size of the defect through a figure formed by a line laser or a laser thickness in the image taken from the aircraft; and a sixth step of comparing the depth and size of the defective portion with a reference value and then determining whether or not there is a defect.

When the first step is performed, location information on the corresponding building may be identified by recognizing an identification tag attached to each building.

When the second step is performed, whether or not there is a defect may be determined by comparing at least one condition among color, saturation, and lightness of the defective part and the non-defective part.

When the first step is performed, if the surface angle of the aircraft and the building is not in the vertical direction, the position of the aircraft can be corrected through the shape of the figure formed by the line laser.

In the fifth step, after positioning the figure formed by crossing the line lasers at the defect location, the area of the defect can be calculated through the length of the defect according to the continuous arrangement and the length and width of the defect.

In the fifth step, the thickness of the defect of the building may be compared and measured based on the thickness of the laser through light spreading generated according to the irradiation distance of the laser.

According to the present invention, the difference comparison unit compares the difference between defective and non-defective areas in the surface image of a building taken from an air vehicle, and when the result of the comparison is determined to be a defect, the defect recognition unit transmits a laser and transmits a laser to the received reflected wave. It is possible to prevent unnecessary work by measuring the depth by measuring the depth and recognizing it as a defect if there is a difference in depth, and measuring the size of the defect recognized by the defect recognition unit. There is an effect that can be used as a standard for measurement for

1 is a schematic diagram showing a device for detecting defects outside a building through drone photography and measuring a size using a laser according to the present invention.
2 is a schematic diagram showing a vertical state and an inclined state between a flying body and a wall of a building in a size measuring device using a laser and finding defects outside a building through drone imaging of the present invention.
Figure 3 is a schematic diagram showing a defect recognition unit in the device for measuring the size and depth of a building defect through drone imaging and laser irradiation of the present invention.
4 is a schematic diagram showing a state of measuring the length and width of a defect through a defect size measuring unit in the apparatus for measuring the size and depth of a building defect through drone imaging and laser irradiation according to the present invention.
5 is a schematic diagram showing a state in which the size of a defect is measured through a laser thickness through a defect size measurement unit in the device for measuring the size and depth of a building defect through drone imaging and laser irradiation according to the present invention.
6 is an image explaining a process of measuring a distance between a shooting position and a target object in a size measuring device using a laser and detecting defects outside a building through drone shooting according to the present invention.
7 is a block diagram illustrating a method of detecting a defect outside a building through drone imaging and measuring a size using a laser according to the present invention.

The above objects, features and other advantages of the present invention will become more apparent by describing preferred embodiments of the present invention in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a method and apparatus for detecting a defect outside a building through drone photography and measuring a size using a laser according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 to 4, an apparatus for detecting defects outside a building through drone photography and measuring a size using a laser according to an embodiment of the present invention 100 includes an air vehicle 110, a position correction unit 120, a defect It includes a recognizing unit 130, a difference comparison unit 140, a defect size measurement unit 150, and a defect determination unit 160.

At this time, the building defects include cracks, poor joint construction, omission of glass caulking, deformation of roof layer outer wall panels and missing welding parts, exposure of hardware for fixing supports for outer wall billboards, repair traces of damaged areas of outer wall marble, contamination of the surface of outer wall marble, poor fixation of the upper part of the glass , Omission of caulking work, occurrence of rust due to window frame damage, repair of existing external billboard steel fixings, window frame frame incorrect installation (normal construction [at the bottom of the window frame drain)], including poor drainage due to water retention in the roof and damage due to deterioration of the waterproof layer, etc. And, the defect in this embodiment is exemplified as a crack (C).

On the other hand, in the building B for measuring the size and depth of the building defect, an identification tag (not shown in the drawing) is attached to each building B, and it is possible to identify a building at a specific location among several by the identification tag.

At this time, a barcode or the like is applied to the identification tag, and the installation location can be attached to the corner of the building (B). Moreover, the identification of the building (B) can be recognized by GPS or the direction of the camera of the vehicle 110 in addition to the identification tag.

As shown in FIG. 1, the aircraft 110 is applied to this, such as a drone, and is intended to photograph the exterior of the building (B) while flying along a predetermined path outside the building (B) designated by the user, and defects occur A camera (not shown in the drawing) for photographing a point and an adjacent point is provided.

Furthermore, although not shown in the figure, the aircraft 110 has a storage unit for storing a captured image, and a wired/wireless communication unit for transmitting the captured image and the measurement value of the defect depth measurement unit 130 to the determination unit 150. may be included.

In addition, the air vehicle 110 may fly while setting the distance from the wall of the building to 10 m, 20 m, etc., when taking an image. In addition, the flight body 110 swings (shake) due to weak wind during flight, but the error due to the swing is within the error range of ± 1m based on the flight distance, and the deviation from the flight path due to strong wind is determined by checking the GPS data of the drone. While excluding it from the measurement data, it is possible to utilize the data captured after entering the correct position when departing from the flight path.

As shown in FIGS. 1 and 2, the position correction unit 120 determines the shape of the figure formed by the line laser in the defect size measurement unit 150 when the angle of the surface of the aircraft 110 and the building is not in the vertical direction. Correct the position of the aircraft 110 through.

That is, the position correction unit 120, when the angle of the surface of the aircraft 110 and the building is in the vertical direction, uses three types of laser to display the figure as a triangle, and then the shape of the figure formed by the line laser is left and right symmetrical. Although displayed [see Fig. 2 (a)], if the shape of the figure formed by the line laser is an asymmetric triangle, it is confirmed that the angle of the surface of the aircraft 110 and the building is not in the vertical direction [see Fig. 2 (b)]. In this case, the position of the aircraft 110 is automatically corrected and controlled. In addition, the position correction unit 120 compares the length of the figure formed by the line laser with the length of a predetermined figure when the surface of the building is a vertical plane even when the surface of the building is inclined upward or downward, Angle adjustment is possible.

In addition, although the position correction unit 120 is not shown in the drawing, it autonomously flies at a certain distance from the target object (defect location on the photographed image of the building (B)) using GPS and a sensor when the aircraft 110 is photographed. The part according to environmental change and control error is corrected by comparing triangle image data.

As shown in FIGS. 1 and 3, the defect recognition unit 130 is provided on the aircraft 110 and transmits a laser to a defect occurrence point of a building and a point where the defect does not occur adjacent thereto, and receives a defect by a reflected wave. The depth is measured, and if there is a difference in depth, it is recognized as a defect.

At this time, the defect recognition unit 130 includes a laser transmitter 132 that transmits a laser to the defect occurrence point and a laser receiver 134 that receives the laser reflected from the defect occurrence point.

As shown in FIG. 1 , the difference comparator 140 compares the difference between defective parts and non-defective parts in the surface image of the building B taken by the aircraft 110 .

That is, the difference comparator 140 checks the defective part and the non-defective part based on the image information on the surface of the building (B) through a method such as image processing to determine whether there is a difference in contrast or not. is to compare.

At this time, the difference comparator 140 determines whether or not there is a defect through a comparison of at least one condition among color, saturation, and lightness for the defective part and the non-defective part.

As shown in FIGS. 1 and 4 to 6, the defect size measuring unit 150 measures the defect recognized by the defect recognition unit 130 through a figure formed by a line laser or a laser thickness in a photographed image. measure the size of

That is, the defect size measuring unit 150 locates a figure formed by crossing a plurality of line lasers at the location of a defect on a photographed image of a building (B), and determines the length of the defect according to the continuous arrangement of the figure (L), The width of the defect is calculated through the length (L) and width (W) of the defect (see FIG. 4), or the thickness (T) of the defect of the building based on the laser thickness through the light spread generated according to the laser irradiation distance is compared and measured (see FIG. 5). At this time, the width of the defect can be measured by calculating the area of the figure formed by crossing the line lasers.

For example, if the height of the triangular figure is 10 cm and the base is 10 cm, if the triangular figure corresponds to 5 times the flaw length (L), the flaw length (L) is 50 cm, and the base of the triangular figure is equal to the flaw thickness (W). The defect thickness (W) is 10 cm.

In addition, as described above, the defect size measuring unit 150 can simultaneously use a method of providing a defect area by a figure and a method of obtaining a defect area through a laser thickness.

On the other hand, although not shown in the drawings, the flaw length (L), flaw length (L), and width (W) based on the size of the figure in a state where the size of the figure formed by crossing a plurality of line lasers is adjusted to be small It is possible to calculate the area of the defect through

At this time, the defect size measurement unit 150 is implemented by a laser marking method as a method of forming a figure to calculate the area of the defect.

Although not shown in the drawing, the laser marking method uses a laser diode similar to a laser pointer, and the lens is implemented in a line display method using a Powell Lens so that it can be displayed as a line on the wall of a building.

In addition, when calculating the area of a flaw through the flaw length (L) and the flaw length (L) and width (W) of the line laser, a figure such as a triangle or a square formed by crossing the line laser is used.

For example, if the shape is a triangle, three types of line lasers are used, and line lasers designed for 15m, 20m, and 25m are used as the focus of the line laser in consideration of the characteristics of flight image shooting (see FIG. 6). ).

Then, the line laser is fixed to be displayed in a triangular shape by adjusting the display angle. After the triangular shape is displayed on the target object, considering the optical characteristics that change into a small triangle for a short distance and a large triangle for a long distance, depending on the measurement distance, each measurement distance After taking an image of the triangle shape and calculating the size of the triangle, it is converted into distance-specific data and used as reference data for distance measurement. After the image is taken, the triangular shape of the captured image is calculated and the distance-specific data is compared to use it as the distance standard.

On the other hand, if the distance from the target object is a long distance, the shape of the triangle may be enlarged and the whole may not be seen, but the size and area of the triangle can be obtained by fixing the angle of the triangle to an equilateral triangle and checking only the position and angle of the two sides.

Here, the size of the triangle, which is a figure formed by the line laser, is marked on the measurement target (defect formed on the wall of the building) on the wall where the line laser is displayed, and then an image is taken at a specific distance, and the data of the laser thickness table for each distance is obtained from the photographed image. As a standard, the size can be measured by comparing the size of the object to be measured with the laser thickness as an image pixel.

In addition, the measurement data is a simple test method to check the rate of change. Although there is a measurement error, the change in laser thickness according to the distance is non-linear, but it is possible to check the change. When using a laser, the thickness of the laser line at the focal point can be fixed with a lens (e.g. 20m line thickness 8mm), and a data table for each distance of the adjusted laser can be created and calculated as a measurement standard.

In addition, it can be modified in various forms such as laser thickness, triangle and square (well well), and parallel line spacing with actual measurement reference data.

In addition, if the figure is square, that is, in the shape of a lattice (well), the wall is irradiated using four types of lasers (eg, 15 meters, 20 meters, 25 meters, 30 meters) with different focal lengths.

Due to the characteristics of optical devices, laser light spreads according to the distance, and the thickness of the line displayed on the wall also varies depending on the distance.

For example, for a line laser with a 20-meter focus, a 20-meter mark is about 9.1 mm thick, a 15-meter mark is about 5.9 mm thick, and a 10-meter mark is about 3.3 mm thick.

Therefore, it is possible to check the measurement data by comparing the thickness and length of the defect displayed together on the basis of the thickness of the line laser displayed in the photographed image.

As described above, considering that the flight body 110 can fly with the distance set to 10m, 20m, etc. from the wall of the building when taking an image, the thickness of each distance of the flight distance setting data and the line display data is compared to be used as a measurement standard. do.

For example, in the video taken when shooting an airplane with a 20-meter flight distance, the 20-meter thickness of the line laser is about 9 mm, so if the thickness of the line laser is measured as 5 mm, the change ratio is calculated and reduced by about 45%. After making the decision, measure the length of the defect photographed together based on the image, and then enlarge the correction ratio by 45% to determine the actually predictable measured length.

In addition, when the defect size measurement unit 150 measures the size of the defect through the laser thickness to calculate the area of the defect, as in the previous method, the laser is irradiated by dividing the focal length, and based on the laser thickness through light spreading The thickness or length of the defect in the building is compared and measured.

Here, the laser used in the defect size measuring unit 150 uses a 650 nm irradiation wavelength, and a 650 nm band pass filter (BPF) for camera image reading can be applied.

That is, the line laser uses a wavelength of 650 nm, which is manufactured and used for fixing a specific distance such as for 20m or 30m by adjusting the output of the laser diode lamp and the focus lens in the same wavelength band as the laser pointer.

In addition, line lasers may be unclear when used outdoors due to the nature of line lasers due to the amount of light and visible light, so the output and focus lens are corrected to improve sharpness (line laser allowable output level information can be displayed, but there is a problem with limited use), and the shooting camera A 650nm band-pass filter, that is, a band-pass filter, is used to exclude the visible ray region and transmit only the frequency region of the line laser to increase clarity during shooting.

In addition, since visible light is excluded when using BPF, the line of the laser becomes clear and the rest of the range is displayed in black and white, but it can be easily used for size measurement such as thickness of defects, length of defects, size of building finishing material dropout, etc., and color photos in the visible light area If necessary, a color camera and a laser measurement camera can be installed and compared.

As shown in FIG. 1, the defect determination unit 160 transmits the result values of the defect recognition unit 130 and the defect size measurement unit 150, and the defect recognition unit 130 and the defect size measurement unit 150 After comparing the depth and size of the defect measured through the standard value, if it is greater than the standard value, it is finally determined whether or not there is a defect.

Therefore, the present invention displays a display device, which is a measurement standard for photographed image data in building safety diagnosis using a drone image shooting method, on a measurement object through laser marking, and simultaneously captures images on the displayed wall to determine the crack length, width, and construction finishing material. It is a method that is used as a standard for measurement for reading the size of dropout, misalignment, etc. It is possible to measure diagnostic items by comparing the state of laser marking on the image data captured.

In addition, although not shown in the drawings, the present invention compares measurement data such as the depth and size of the defect with original data such as a drawing of a building, and if there is a difference in the depth and size of the defect, it can be recognized and monitored. Moreover, it is possible to establish original data when there is no drawing of a building through measurement data.

Referring to FIG. 7, the method of detecting defects outside a building through drone imaging and measuring the size using a laser of the present invention includes photographing the surface of an aircraft building (S200), comparing defective parts and non-defective parts (S210), and suspected defective parts. A discovery step (S220), a defect depth measurement step (S230), a defect size measurement step (S240), and a defect determination step (S250) are included.

The step of photographing the surface of the building (S200) of the aircraft is a step in which the exterior of the building (B) is photographed through the camera of the aircraft 110 while the aircraft 110 flies along a predetermined path outside the building (B) designated by the user. .

At this time, in the step of photographing the surface of the aircraft building (S200), when the angle of the surface of the aircraft 110 and the building is not in the vertical direction, the shape of the figure formed by the line laser in the defect size measuring unit 150 of the aircraft 110 The position is corrected by correction of the position correction unit 120 .

That is, if the shape of the figure formed by the line laser is an asymmetric triangle, it is confirmed that the angle of the surface of the aircraft 110 and the building is not in the vertical direction. Correctly control with

On the other hand, when the surface photographing step of the building (S200) is performed, the recognition of a specific building among buildings is recognized through an identification tag attached to each building (B), and location information on the building can be grasped.

Comparing defective and non-defective parts (S210) is a step of comparing defective and non-defective parts in the surface image of the building (B) photographed by the aircraft 110 through the difference comparison unit 140.

At this time, in the step of comparing defective and non-defective parts (S210), based on the image information on the surface of the building (B), the shade (contrast difference) of the defective and non-defective parts above the standard is compared through a method such as image processing. When inspected by the unit 152, areas with a difference in brightness are found to be defective areas.

Here, it is illustrated that the defective part and the non-defective part are compared by the difference in shade, but the comparison is possible through at least one condition comparison, such as color, saturation, and brightness, without being limited thereto.

In step S220 of discovering a suspected defect area, a defective area is compared with a non-defective area, and a suspected defect area is discovered according to the result.

That is, in the step of discovering the suspected defect part (S220), when the difference in contrast between the defective part and the non-defective part differs by more than a set value, the suspected defect part is found to be the suspected defect part through the difference comparison unit 140, and the position of the suspected defect part is determined. is the step of discovering

Defect depth measuring step (S230) is a step of emitting a laser to the suspected defect part and measuring the depth by the received reflected wave, and recognizing the defect as a defect through the defect recognizing unit 130 if there is a difference in depth.

That is, in the defect depth measurement step (S230), the laser transmitter 132 of the defect recognition unit 130 provided in the aircraft 110 transmits a laser to the defect occurrence point, and transmits the laser reflected from the defect occurrence point to the laser receiver ( This is the step of measuring the defect depth according to the result value received in step 134).

The defect size measurement step (S240) is a step of measuring the size of a defect through a figure formed by a line laser or a laser thickness in an image taken from the aircraft 110.

That is, in the defect size measuring step (S240), the figure formed by crossing a plurality of line lasers in the flaw size measuring unit 150 is placed at the defect position on the photographed image of the building (B), and the figure is continuously arranged as long as the length of the defect. In this step, the area of the defect is calculated based on the length of the defect and the length and width of the defect.

In addition, in the defect size measuring step (S240), the defect size measurement unit 150 compares and measures the thickness of the defect in the building based on the laser thickness through light spreading generated according to the irradiation distance of the laser. At this time, the width of the defect can be measured by calculating the area of the figure formed by crossing the line lasers.

Defect determination step (S250) is a step of determining whether there is a defect through the defect determination unit 160 after comparing the depth and size of the defect part with a reference value.

That is, in the defect determination step (S250), the result values of the defect recognition unit 130 and the defect size measuring unit 150 are transmitted to the defect determination unit 160, and the defect determination unit 160 determines the defect. 130 and the defect size measurement unit 150, the depth and size of the defect measured are compared with the reference value, and if it is greater than the reference value, it is finally determined as a defect.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting.

100: Defect detection outside the building and size measuring device using laser
110: aircraft
120: position correction unit
130: defect recognition unit
140: difference comparison unit
150: defect size measuring unit
160: defect determination unit

Claims (11)

An aircraft that photographs the outer wall of a building while flying along a predetermined path;
a difference comparison unit that compares a difference between a defective part and a non-defective part in the building surface image taken by the aircraft;
a flaw recognition unit provided in the aircraft and, if the result compared by the difference comparator is suspected to be a defect, measures the depth by a reflected wave that transmits and receives a laser, and recognizes the difference in depth as a defect;
a defect size measuring unit for measuring the size of the defect recognized by the defect recognizing unit; and
A defect determination unit that compares the depth and size of the defect part measured by the defect recognition unit and the defect size measurement unit with a reference value and determines whether or not there is a defect; Defect detection and size measuring device using laser. According to claim 1,
The difference comparison unit determines whether or not there is a defect through a comparison of at least one condition of color, saturation, and lightness. According to claim 1,
The defect size measuring unit measures the size of the defect through a figure formed by a line laser or a laser thickness in the image taken from the aircraft, and a size measuring device using a laser and finding defects outside the building through drone photography. According to claim 3,
The defect size measuring unit locates a figure formed by crossing line lasers at the defect location, and then calculates the area of the defect through the defect length and defect length and width according to the continuous arrangement. Defect detection and size measuring device using laser. According to claim 3,
The defect size measuring unit compares and measures the thickness of the defect of the building based on the laser thickness through the light spread generated according to the irradiation distance of the laser, and the size using the laser and finding defects outside the building through drone photography. measuring device. A first step of photographing the surface of a building while the aircraft is flying;
A second step of comparing defective areas and non-defective areas in the building surface image captured by the aircraft;
A third step of comparing the defective area with the non-defective area and then discovering a suspected defect area according to the result;
a fourth step of measuring the depth of the defect by transmitting a laser to the suspected defect area and receiving a reflected wave;
A fifth step of measuring the size of the defect through a figure formed by a line laser or a laser thickness in the image taken from the aircraft; and
A sixth step of comparing the depth and size of the defective part with a reference value and then determining whether or not there is a defect. According to claim 6,
When the first step is performed, the identification tag attached to each building is recognized to determine the location information of the building. According to claim 6,
When the second step is performed, it is characterized in that it is determined whether there is a defect through a comparison of at least one condition of color, saturation and lightness for the defective part and the non-defective part. Discovery of defects outside the building through drone photography and size using laser measurement method. According to claim 6,
When the first step is performed, if the angle of the surface of the aircraft and the building is not in the vertical direction, the position of the aircraft is corrected through the shape of the figure formed by the line laser. and a size measurement method using a laser. According to claim 6,
In the fifth step, the figure formed by crossing the line lasers is placed at the defect location, and then the length of the defect according to the continuous arrangement and the length and width of the defect are calculated to calculate the area of the defect. External defect detection and size measurement method using laser. According to claim 6,
The fifth step is to compare and measure the thickness of the defect of the building based on the laser thickness through the light spread generated according to the irradiation distance of the laser. How to measure size.

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