JP2019168387A - Building determination system - Google Patents

Abstract

To allow the determination of the state of such a building as a bridge easily and correctly.SOLUTION: A building determination system 1 includes a camera 10 and a server 20. The server 20 has a video image acquisition unit 21 for acquiring a video image of a building; a vibration detector 22 for detecting a vibration in a plurality of parts of the building from the acquired video; and an analysis unit 23 for determining an analysis part of the building based on the detected vibrations in the plurality of parts. The video image acquisition unit 21 acquires a video image taken of the determined analysis part, and the analysis part 23 determines the state of the building from the acquired video image.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a building determination system that determines the state of a building.

  Conventionally, it has been proposed to identify the vibration of the bridge by analyzing the image of the bridge and grasp the progress of the deterioration of the bridge (for example, see Patent Document 1).

JP 2017-207339 A

  However, it may be difficult to estimate the state of each part of the bridge from an image obtained by imaging the entire bridge. For example, in order to estimate the state of each part of the bridge, it is necessary to zoom and image the part to be estimated. On the other hand, zooming and imaging the entire bridge involves great effort or difficulty.

  The present invention has been made in view of the above, and an object of the present invention is to provide a building determination system that can determine the state of a building such as a bridge appropriately and simply.

  In order to achieve the above object, a building determination system according to the present invention includes a first moving image acquisition unit that acquires a moving image obtained by imaging a building, and a moving image acquired by the moving image acquisition unit. A vibration detection unit for detecting vibrations at a plurality of points of the object, an analysis point determination unit for determining an analysis point in the building based on the vibrations at the plurality of points detected by the vibration detection unit, and an analysis point determination unit A second moving image acquisition unit that acquires a moving image obtained by imaging the analysis location determined by the determination unit, and a determination unit that determines the state of the building from the moving image acquired by the second moving image acquisition unit.

  In the building determination system according to the present invention, the analysis location is determined based on the vibration detected from the moving image, and the state of the building is determined from the moving image obtained by imaging the determined analysis location. Therefore, the analysis location is appropriately determined, and the state of the building is determined step by step. Therefore, according to the building determination system according to the present invention, it is possible to appropriately and easily determine the state of a building such as a bridge.

  According to the present invention, the analysis location is appropriately determined, and the state of the building is determined step by step. Therefore, the state of the building such as a bridge can be determined appropriately and easily.

It is a figure which shows the structure of the building determination system which concerns on embodiment of this invention. It is a figure which shows typically the example of the division | segmentation into the moving image and element which copied the building of judgment object. It is an example of the graph of the vibration data of a building. It is an example of the graph which carried out the Fourier transform of the vibration data. It is a figure which shows typically the example of the imaging by the zoom of a building, and the division | segmentation into an element. It is a figure which shows typically the example of the output of the determination result of the state of a building. It is a flowchart which shows the process performed with the building determination system which concerns on embodiment of this invention. It is a figure which shows the hardware constitutions of the server contained in the building determination system which concerns on embodiment of this invention.

  Hereinafter, an embodiment of a building determination system according to the present invention will be described in detail with reference to the drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

  FIG. 1 shows a building determination system 1 according to this embodiment. As shown in FIG. 1, the building determination system 1 includes a camera 10 and a server 20. The building determination system 1 is a system that determines the state of a building. The building to be judged is a bridge or a building. The state of the building to be determined is, for example, whether an abnormality has occurred in the building (for example, deterioration has occurred). Alternatively, the state of the building to be determined is a deterioration state (deterioration degree) of the building or a healthy state (health degree) of the building. In the building determination system 1, the state is determined for each location of the building. The result of determination by the building determination system 1 is used, for example, for determination of reinforcement or renovation of a building. In the building determination system 1, the state of the building is determined by the server 20 using the moving image captured by the camera 10.

  Subsequently, the configuration of the camera 10 and the server 20 included in the building determination system 1 will be described. The camera 10 is an imaging device that captures a building to be determined and acquires a moving image of the building. The camera 10 is fixedly installed at a position where a building can be imaged in advance. As the camera 10, a known camera that can capture an image with a resolution that can be used to determine the state of a building can be used. The camera 10 and the server 20 can exchange information with each other. The camera 10 images a building at a preset frame rate (fps) and transmits the captured moving image to the server 20.

  As will be described later, the camera 10 receives control of the shooting position (shooting direction, etc.) and zoom from the server 20. The camera 10 images the entire building to be determined, and then zooms in on a predetermined part of the building. The predetermined location to be zoomed is a location determined in more detail, for example, a location where an abnormality is considered to have occurred. The predetermined portion to be zoomed will be described later.

  As shown in FIG. 1, the server 20 is functionally configured to include a moving image acquisition unit 21, a vibration detection unit 22, an analysis unit 23, and an output unit 24.

  The moving image acquisition unit 21 is a functional unit (a first moving image acquisition unit, a second moving image acquisition unit) that acquires a moving image obtained by imaging a building. The moving image acquisition unit 21 acquires a moving image obtained by imaging the entire building. Moreover, the moving image acquisition part 21 acquires the moving image imaged by zooming the predetermined location of the building. The moving image acquisition unit 21 acquires the moving image transmitted from the camera 10 by receiving the moving image. The moving image acquisition unit 21 outputs the acquired moving image to the vibration detection unit 22.

  The vibration detection unit 22 is a functional unit that detects vibrations at a plurality of locations of the building from the moving image acquired by the moving image acquisition unit 21. The vibration detection unit 22 inputs a moving image from the moving image acquisition unit 21. The vibration detection unit 22 detects a displacement in units of subpixels from the moving image by a conventional technique such as POC (Phase Only Correlation), and detects vibrations at a plurality of locations of the building. For example, the vibration detection unit 22 detects vibration as follows.

  The vibration detection unit 22 divides the input moving image into individual frames (images) constituting the moving image as shown in FIG. The vibration detection unit 22 extracts (divides into partial images) partial images (phase images) of a plurality of regions at preset positions from individual frames. In the present embodiment, each region is referred to as an element E. The size of the element E is set in advance. The position of the element E is a position where the building is reflected in the moving image. The position of the element E is set in advance by the user of the building determination system 1 and stored in the vibration detection unit 22, for example. Or the vibration detection part 22 may detect the position where the building is reflected in the moving image, and may set the detected position as the position of the element E.

  The vibration detection unit 22 calculates the displacement of the same (position) element E between the previous and subsequent frames with sub-pixel accuracy. The time difference Δt between the previous and next frames is the reciprocal of the frame rate (fps) (Δt = 1 / fps). For example, when determining the state of the bridge, the vibration detection unit 22 calculates a positional shift in the y direction of the moving image. This is because the deterioration of the bridge proceeds according to the vibration in the vertical direction (vertical direction). The vibration detection unit 22 calculates a displacement (displacement y) between the front and rear frames of each element as a vibration of the building from the moving image. As shown in FIG. 3, the vibration data obtained from the moving image by the vibration detection unit 22 is data of displacement y for each element i and time (time) t. The vibration detection unit 22 outputs the obtained vibration data to the analysis unit 23.

  The analysis unit 23 is a functional unit (analysis location determination unit) that determines an analysis location in the building based on the vibrations of a plurality of locations detected by the vibration detection unit 22. The analysis location is a location where the state is determined in detail. For example, the analysis location is a location where the state is determined for each more detailed location (among the analysis locations). The analysis unit 23 is a functional unit (determination unit) that determines the state of the building from the moving image captured by the moving image acquisition unit 21. The analysis by the analysis unit 23 (determination of the analysis location and determination of the state of the building) may be performed by any of a plurality of methods.

  For example, the analysis part 23 determines the analysis location in a building based on the similarity of the vibration between several locations. Specifically, the analysis unit 23 performs analysis as follows. The analysis unit 23 inputs vibration data from the vibration detection unit 22. The analysis unit 23 performs Fourier transform on the vibration data of each element i (data of displacement y for each time (time) t). The vibration data by Fourier transform becomes data of intensity (power) for each frequency (Hz) as shown in FIG. The analysis unit 23 calculates the similarity in intensity for each frequency of adjacent elements in the moving image. Adjacent elements (combinations of elements for calculating similarity) are set in advance (for example, together with element settings) and stored in the analysis unit 23. For example, the analysis unit 23 calculates a cosine similarity as the similarity. The cosine similarity indicates that the higher the value, the more similar. The similarity indicates the similarity of vibration. If the vibration is not similar to other adjacent elements, it is considered that an abnormality has occurred in that part of the building.

  For example, the analysis unit 23 determines whether or not all cosine similarities between adjacent elements with respect to each element are equal to or less than a threshold value (whether or not the similarity with respect to each element is abnormal). The threshold is set in advance. The analysis unit 23 determines an element that is determined that all the cosine similarity between adjacent elements is equal to or less than the threshold value as an abnormal part (for example, a degraded part). The abnormal location is the analysis location described above.

  As shown in FIG. 5, the analysis unit 23 zooms and captures the part of the element E1 that is an abnormal part of the building, and acquires the moving image in which the element E1 is enlarged and fits in the frame. To control. Control of imaging with a zoom designating an imaging location can be performed using a known technique. Note that the determination of the abnormal location corresponds to both determination of the analysis location and determination of the state of the building.

  The camera 10 transmits a moving image acquired by zoomed imaging to the server 20. In the server 20, the moving image acquisition unit 21 receives the moving image and outputs it to the vibration detection unit 22. As shown in FIG. 5, the vibration detection unit 22 further divides the zoomed element E1 of the moving image into a plurality of elements E2. The size and position of the element E2 are set in advance. The vibration detection unit 22 and the analysis unit 23 perform the same processing as described above on the divided element E2 to determine whether each element E2 is an abnormal part. Note that even if the element E1 before zooming is an abnormal location, any of the elements E2 obtained by dividing the element E1 may not be an abnormal location. This is because, if the vibration of each element E2 is the same vibration, the similarity of vibration between the elements is increased.

  When there is an element E2 that is considered to be an abnormal part, imaging with the zoom of the element E2 and whether or not an element obtained by further dividing the element E2 is an abnormal part are performed. The above process is repeated until there are no more elements that are considered to be abnormal places.

  Note that the determination of the abnormal part based on the vibration data obtained by the Fourier transform may be performed by a method other than the method based on the comparison between the similarity and the threshold as described above. For example, an abnormality determination algorithm such as One Class SVM (support vector machine) may be used. Alternatively, instead of the vibration data obtained by the Fourier transform, the mutual similarity between the elements based on the spectral coherence between the elements is calculated from the vibration data shown in FIG. Good.

  In addition, the determination of the state of the element (in the above example, determination of the abnormal portion) does not necessarily have to be performed based on the vibration relationship between the elements as described above. For example, the state may be determined by comparing the natural frequencies at different timings. Specifically, the analysis unit 23 calculates (detects) a natural frequency (dominant frequency) from vibration data obtained by Fourier transform as shown in FIG. The natural frequency is, for example, the lowest frequency among the frequencies at which the intensity becomes a maximum value. In general, it is said that the natural frequency decreases when a bridge deteriorates. For example, the analysis unit 23 calculates a natural frequency for each element for a moving image captured at a plurality of timings as illustrated in FIG. 3, and the natural frequency is lower than a preset threshold value. It is determined that the part of the element has deteriorated.

  Or the analysis part 23 may calculate the soundness of an element using the classification | category model (health model) which outputs the soundness of the said element by using the value of the intensity | strength for every frequency shown in FIG. . The classification model can be generated, for example, by performing machine learning (for example, deep learning) using the soundness of each element obtained by the close visual inspection as teacher data.

  The analysis unit 23 outputs, to the output unit 24, information indicating the position (for example, the position in the image) of the element determined to be an abnormal part by the above analysis as information indicating the determination result of the building state.

  The output unit 24 is a functional unit that outputs information indicating the determination result of the state of the building by the analysis unit 23. For example, the output unit 24 transmits and displays the information to a terminal connected to the server 20. For example, as shown in FIG. 6, a display D <b> 1 indicating an abnormal location may be performed at the position of an element that is an abnormal location in a moving image before moving or a frame of a moving image. Also, an abnormal location may be clearly indicated at each zoom stage. For example, as shown in FIG. 6, when the portions D1 and D2 are clicked, a zoomed moving image or a frame of the moving image is displayed, and displays D2, D3 indicating an abnormal part after element division there. It is good also as performing. The output from the output unit 24 is referred to, for example, by the user of the building determination system 1 and is used for the determination of reinforcement or renovation of the building as described above.

  Note that the output by the output unit 24 may be performed on a device other than the above and in a form other than the above. The above is the configuration of the building determination system 1.

  Then, the process (operation method which the building determination system 1 performs) performed by the building determination system 1 which concerns on this embodiment is demonstrated using the flowchart of FIG. First, the camera 10 captures an image of a building whose state is to be determined, and acquires a moving image (S01). In the first imaging, the imaging is performed so that all the places where the state is determined are captured. The captured moving image is transmitted from the camera 10 to the server 20. In the server 20, a moving image is acquired by the moving image acquisition unit 21. Subsequently, the vibration detection unit 22 detects vibration for each element that is a plurality of locations of the building from the moving image (S02). Then, the element which is an abnormal location is detected by the analysis part 23 based on the vibration of a some element (S03).

  In the above detection, when an abnormal part is detected (YES in S04), the analysis unit 23 controls the camera 10 so as to zoom and image the abnormal part. In accordance with the control, the camera 10 zooms in and picks up an abnormal part of the building and acquires a moving image (S05, S01). The captured moving image is transmitted from the camera 10 to the server 20. In the server 20, a moving image is acquired by the moving image acquisition unit 21. Subsequently, the vibration detection unit 22 detects vibration for each element, which is a plurality of locations in the zoomed element, from the moving image (S02). Then, the element which is an abnormal location is detected by the analysis part 23 based on the vibration of a some element (S03). In the above detection, when an abnormal part is detected (YES in S04), the same processing (S05, S01 to S04) as described above is repeated.

  When no abnormal part is detected in the detection in S03 (NO in S04), the output unit 24 outputs information indicating the determination result of the state of the building by the analysis unit 23 (S06). For example, as described above, display indicating the position detected as an abnormal location is performed. The above is the process performed by the building determination system 1 according to the present embodiment.

  As described above, in the present embodiment, the analysis location to be zoomed (element determined to be an abnormal location) is determined based on the vibration detected from the motion image, and the building is constructed from the moving image obtained by imaging the determined analysis location. The state of the object is determined. Therefore, the analysis location is appropriately determined, and the state of the building is determined step by step. Therefore, according to this embodiment, it is possible to appropriately and easily determine the state of a building such as a bridge by performing a detailed analysis on a necessary analysis location.

  Further, as in the present embodiment, the analysis location may be zoomed in and imaged. According to this configuration, it is possible to acquire a moving image having a resolution that can appropriately analyze the analysis location, and appropriately implement the present invention. However, when the moving image obtained by imaging the entire building has sufficient resolution for analysis of the analysis location, it is not necessary to perform zoomed imaging. In this case, it is good also as dividing | segmenting into the stepwise element mentioned above from one moving image which imaged the whole building.

  Moreover, it is good also as determining an analysis location based on the similarity of the vibration between several elements like one example of this embodiment. According to this configuration, an analysis location (abnormal location) can be identified appropriately according to the vibration relationship between elements. However, the determination of the analysis location does not necessarily have to be performed according to the degree of vibration similarity between elements, and may be performed by any method as long as it is performed according to the vibration.

  In addition, since the building determination system which concerns on this invention should just be able to acquire a moving image, it may become a structure which can acquire a moving image from other than a building determination system. For example, as long as the server 20 according to the present embodiment has a configuration capable of acquiring a moving image from the camera 10 (other than the building determination system), the building determination system may be configured only by the server 20.

  In addition, the block diagram used for description of the said embodiment has shown the block of the functional unit. These functional blocks (components) are realized by any combination of hardware and / or software. Further, the means for realizing each functional block is not particularly limited. That is, each functional block may be realized by one device physically and / or logically coupled, and two or more devices physically and / or logically separated may be directly and / or indirectly. (For example, wired and / or wireless) and may be realized by these plural devices.

  For example, the server 20 according to an embodiment of the present invention may function as a computer that performs processing of the server 20 according to the present embodiment. FIG. 8 is a diagram illustrating an example of a hardware configuration of the server 20 according to the present embodiment. The server 20 described above may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

  In the following description, the term “apparatus” can be read as a circuit, a device, a unit, or the like. The hardware configuration of the server 20 may be configured to include one or a plurality of devices illustrated in the figure, or may be configured not to include some devices.

  Each function in the server 20 is performed by reading predetermined software (program) on hardware such as the processor 1001 and the memory 1002, so that the processor 1001 performs an operation and performs communication by the communication device 1004 and in the memory 1002 and the storage 1003. This is realized by controlling reading and / or writing of data.

  For example, the processor 1001 controls the entire computer by operating an operating system. The processor 1001 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic device, a register, and the like. For example, each function of the server 20 may be realized by the processor 1001.

  Further, the processor 1001 reads a program (program code), software module, and data from the storage 1003 and / or the communication device 1004 to the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above embodiments is used. For example, each function of the server 20 may be realized by a control program stored in the memory 1002 and operating on the processor 1001. Although the above-described various processes have been described as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. Note that the program may be transmitted from a network via a telecommunication line.

  The memory 1002 is a computer-readable recording medium and includes, for example, at least one of ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), RAM (Random Access Memory), and the like. May be. The memory 1002 may be called a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, and the like that can be executed to perform the method according to the embodiment of the present invention.

  The storage 1003 is a computer-readable recording medium, such as an optical disc such as a CD-ROM (Compact Disc ROM), a hard disc drive, a flexible disc, a magneto-optical disc (eg, a compact disc, a digital versatile disc, a Blu-ray). (Registered trademark) disk, smart card, flash memory (for example, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, server, or other suitable medium including the memory 1002 and / or the storage 1003.

  The communication device 1004 is hardware (transmission / reception device) for performing communication between computers via a wired and / or wireless network, and is also referred to as a network device, a network controller, a network card, a communication module, or the like. For example, each function of the server 20 may be realized by the communication device 1004.

  The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, or the like) that accepts an external input. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that performs output to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

  Each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be configured with a single bus or may be configured with different buses between apparatuses.

  The server 20 includes hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), and a field programmable gate array (FPGA). Some or all of the functional blocks may be realized by the hardware. For example, the processor 1001 may be implemented by at least one of these hardware.

  Although the present embodiment has been described in detail above, it will be apparent to those skilled in the art that the present embodiment is not limited to the embodiment described in this specification. The present embodiment can be implemented as a modification and change without departing from the spirit and scope of the present invention defined by the description of the scope of claims. Therefore, the description of the present specification is for illustrative purposes and does not have any limiting meaning to the present embodiment.

  The notification of information is not limited to the aspect / embodiment described in the present specification, and may be performed by other methods. For example, information notification includes physical layer signaling (for example, DCI (Downlink Control Information), UCI (Uplink Control Information)), upper layer signaling (for example, RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling), It may be implemented by broadcast information (MIB (Master Information Block), SIB (System Information Block))), other signals, or a combination thereof. Further, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC connection setup message, an RRC connection reconfiguration message, or the like.

  The processing procedures, sequences, flowcharts, and the like of each aspect / embodiment described in this specification may be switched in order as long as there is no contradiction. For example, the methods described herein present the elements of the various steps in an exemplary order and are not limited to the specific order presented.

  Input / output information and the like may be stored in a specific location (for example, a memory) or may be managed by a management table. Input / output information and the like can be overwritten, updated, or additionally written. The output information or the like may be deleted. The input information or the like may be transmitted to another device.

  The determination may be performed by a value represented by 1 bit (0 or 1), may be performed by a true / false value (Boolean: true or false), or may be performed by comparing numerical values (for example, a predetermined value) Comparison with the value).

  Each aspect / embodiment described in this specification may be used independently, may be used in combination, or may be switched according to execution. In addition, notification of predetermined information (for example, notification of being “X”) is not limited to explicitly performed, but is performed implicitly (for example, notification of the predetermined information is not performed). Also good.

  Software, whether it is called software, firmware, middleware, microcode, hardware description language, or other names, instructions, instruction sets, codes, code segments, program codes, programs, subprograms, software modules , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, etc. should be interpreted broadly.

  Also, software, instructions, etc. may be transmitted / received via a transmission medium. For example, software may use websites, servers, or other devices using wired technology such as coaxial cable, fiber optic cable, twisted pair and digital subscriber line (DSL) and / or wireless technology such as infrared, wireless and microwave. When transmitted from a remote source, these wired and / or wireless technologies are included within the definition of transmission media.

  Information, signals, etc. described herein may be represented using any of a variety of different technologies. For example, data, commands, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description are voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these May be represented by a combination of

  Note that the terms described in this specification and / or terms necessary for understanding this specification may be replaced with terms having the same or similar meaning.

  As used herein, the terms “system” and “network” are used interchangeably.

  In addition, information, parameters, and the like described in this specification may be represented by absolute values, may be represented by relative values from a predetermined value, or may be represented by other corresponding information. .

  The names used for the parameters described above are not limiting in any way. Further, mathematical formulas and the like that use these parameters may differ from those explicitly disclosed herein.

  As used herein, the terms “determining” and “determining” may encompass a wide variety of actions. “Judgment” and “determination” are, for example, judgment, calculation, calculation, processing, derivation, investigating, looking up (eg, table , Searching in a database or another data structure), considering ascertaining as “determining”, “deciding”, and the like. In addition, “determination” and “determination” include receiving (for example, receiving information), transmitting (for example, transmitting information), input (input), output (output), and access. (accessing) (e.g., accessing data in a memory) may be considered as "determined" or "determined". In addition, “determination” and “decision” means that “resolving”, “selecting”, “choosing”, “establishing”, and “comparing” are regarded as “determining” and “deciding”. May be included. In other words, “determination” and “determination” may include considering some operation as “determination” and “determination”.

  The terms “connected”, “coupled”, or any variation thereof, means any direct or indirect connection or coupling between two or more elements and It can include the presence of one or more intermediate elements between two “connected” or “coupled” elements. The coupling or connection between the elements may be physical, logical, or a combination thereof. As used herein, the two elements are radio frequency by using one or more wires, cables and / or printed electrical connections, and as some non-limiting and non-inclusive examples By using electromagnetic energy, such as electromagnetic energy having a wavelength in the region, microwave region, and light (both visible and invisible) region, it can be considered to be “connected” or “coupled” to each other.

  As used herein, the phrase “based on” does not mean “based only on,” unless expressly specified otherwise. In other words, the phrase “based on” means both “based only on” and “based at least on.”

  Where the designation "first", "second", etc. is used herein, any reference to that element does not generally limit the amount or order of those elements. These designations can be used herein as a convenient way to distinguish between two or more elements. Thus, a reference to the first and second elements does not mean that only two elements can be employed there, or that in some way the first element must precede the second element.

  These terms are similar to the term “comprising” as long as “include”, “including” and variations thereof are used herein or in the claims. It is intended to be comprehensive. Furthermore, the term “or” as used herein or in the claims is not intended to be an exclusive OR.

  In this specification, a plurality of devices are also included unless there is only one device that is clearly present in context or technically. Throughout this disclosure, the plural is included unless the context clearly indicates one.

  DESCRIPTION OF SYMBOLS 1 ... Building determination system, 10 ... Camera, 20 ... Server, 21 ... Moving image acquisition part, 22 ... Vibration detection part, 23 ... Analysis part, 24 ... Output part, 1001 ... Processor, 1002 ... Memory, 1003 ... Storage, 1004 ... Communication device, 1005 ... Input device, 1006 ... Output device, 1007 ... Bus.

Claims (3)

A first moving image acquisition unit that acquires a moving image of a building;
From the moving image acquired by the moving image acquisition unit, a vibration detection unit that detects vibrations about a plurality of locations of the building,
Based on the vibrations of a plurality of locations detected by the vibration detection unit, the analysis location determination unit that determines the analysis location in the building,
A second moving image acquisition unit that acquires a moving image obtained by imaging the analysis point determined by the analysis point determination unit;
A determination unit that determines the state of the building from the moving image acquired by the second moving image acquisition unit;
A building judgment system.   2. The building determination system according to claim 1, wherein the second moving image acquisition unit acquires a moving image obtained by zooming and imaging the location determined by the analysis location determination unit.   The building determination system according to claim 1, wherein the analysis location determination unit determines an analysis location in the building based on a similarity of vibration between the plurality of locations.