Business analysis system and business analysis program

Abstract

To provide a business analysis system and a program for business analysis which can more inexpensively perform the business analysis to be performed by specifying an analysis object.SOLUTION: A business analysis system comprises: synchronous video acquisition means 41 of obtaining a synchronous video in which a plurality of videos acquired from a plurality of video cameras, respectively are synchronized with one another and associated with position coordinates of a map; flow line acquisition means 42 of acquiring a flow line of a business analysis object from the synchronous video; and business detail acquisition means 43 of chronologically acquiring business details of the business analysis object from the acquired flow line and the position coordinates of the map.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a task analysis system and a task analysis program. [Background technology]

[0002] Methods for analyzing operations include movement line investigations using portable equipment (for example, movement line investigations using beacons (see Patent Document 1)), investigations using GPS, STS analysis (self-time analysis), and follow-up investigations (time study investigations) by investigators. There are also movement line analysis systems using cameras that are used in factories, logistics sites, stores, etc. (see Patent Documents 2, 3, and 4)). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2019-144941 A [Patent Document 2] JP 2003-256843 A [Patent Document 3] JP 2011-170565 A [Patent Document 4] JP 2014-232362 A Summary of the Invention [Problem to be solved by the invention]

[0004] Surveys that involve carrying equipment have problems such as the equipment interfering with work, low spatial resolution (1-10m), and limited locations for use. Surveys using GPS have problems such as limited locations for surveys being outdoors and low spatial resolution (5-10m). In addition, STS analysis is usually a record of work every 15 minutes, and does not record movement lines, so it is suitable for analyzing desk work tasks, but not for analyzing tasks that involve actual work. Time study surveys are a survey method in which one or two recorders follow each survey subject at all times during working hours and record the work content. This survey requires specialized recorders to be conducted, so it is quite costly (several hundred thousand yen per day (8 hours during the day) for five survey subjects), events (tasks) that occur within one minute are not recorded because records are usually recorded every minute, multiple recorders move around the workplace on the day of the survey, which can interfere with other employees and visitors, and actual movement lines are not recorded. Many problems have been pointed out.

[0005] In addition, the cost of a camera-based traffic analysis system used in factories, logistics sites, stores, etc. is several tens of millions of yen, and is large in scale, and the target of the business analysis is different from that of the present invention. In addition, there are companies that comprehensively provide the above-mentioned business analysis system, but these systems mainly target an unspecified number of people and quantify and analyze the movements and flows of people, and do not provide a system for investigating the business content of specific survey subjects.

[0006] A main object of the present disclosure is to provide a task analysis system and a task analysis program that can perform task analysis at a lower cost by specifying an analysis target. [Means for solving the problem]

[0007] According to the present disclosure, a synchronized image acquisition means for synchronizing a plurality of images acquired from a plurality of video cameras, respectively, to obtain a synchronized image associated with a position coordinate of a map; a flow line acquisition means for labeling the task analysis target from the synchronized image and acquiring the flow line of the task analysis target; There is provided a task analysis system comprising: task content acquisition means for acquiring task content of a task to be analyzed in chronological order from the acquired flow line and position coordinates on the map.

[0008] Further, according to the present disclosure, a synchronized image acquisition means for synchronizing a plurality of images acquired from a plurality of video cameras, respectively, to obtain a synchronized image associated with a position coordinate of a map; a flow line acquisition means for labeling the task analysis target from the synchronized image and acquiring the flow line of the task analysis target; A work analysis system is provided that includes work execution location information that is pre-assigned to position coordinates on the map, and a work content acquisition means that acquires work content at the work execution location from the stay time of the subject of work analysis at the work execution location obtained from the traffic line.

[0009] Further, according to the present disclosure, Computer, a synchronized image acquisition means for synchronizing a plurality of images acquired from a plurality of video cameras, respectively, to obtain a synchronized image associated with a position coordinate of a map; a flow line acquisition means for labeling the task analysis target from the synchronized image and acquiring the flow line of the task analysis target; a task content acquisition means for acquiring task content of a task analysis target in chronological order from the acquired flow line and the position coordinates of the map; A business analysis program is provided that functions as a

[0010] Further, according to the present disclosure, Computer, a synchronized image acquisition means for synchronizing a plurality of images acquired from a plurality of video cameras, respectively, to obtain a synchronized image associated with a position coordinate of a map; a flow line acquisition means for labeling the task analysis target from the synchronized image and acquiring the flow line of the task analysis target; a task content acquisition means for acquiring task content at the task execution location from task execution location information previously associated with the position coordinates of the map and a stay time at the task execution location of the task analysis target obtained from the flow line; A business analysis program is provided that functions as a Effect of the Invention

[0011] According to the present disclosure, a task analysis system and a task analysis program are provided that can perform task analysis at a lower cost by specifying an analysis target. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a diagram for explaining the hardware configuration of a business analysis system according to a preferred embodiment of the present disclosure. [Diagram 2] FIG. 2 is a diagram for explaining the functional configuration of the business analysis system according to the preferred embodiment of the present disclosure. [Diagram 3] FIG. 3 is a flowchart for explaining the processing of the task analysis system according to a preferred embodiment of the present disclosure. [Figure 4] FIG. 4 is a diagram for explaining the installation of the video camera and recorder in the business analysis system according to the preferred embodiment of the present disclosure. [Diagram 5] FIG. 5 is a diagram for explaining a state in which an image is arranged on a floor map in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 6] FIG. 6 is a diagram for explaining labeling of subjects in the work analysis system according to a preferred embodiment of the present disclosure. [Figure 7] FIG. 7 is a diagram for explaining a state in which flow lines are drawn on a floor map in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 8] FIG. 8 is a diagram for explaining the association of locations on a floor map with tasks in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 9] FIG. 9 is a diagram for explaining a result of task analysis in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 10]FIG. 10 is a diagram for explaining the results of the task analysis by the time study. [Figure 11] FIG. 11 is a diagram for explaining the transfer assistance device Resyone, which is used in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 12] FIG. 12 is a diagram for explaining two-point tracking of the transfer assist device Resyone, which is used in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 13] FIG. 13 is a diagram for explaining floors where analysis of time spent outside a room was performed in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 14] FIG. 14 is a diagram for explaining the results of the analysis of time spent outside the room on the day for which the time spent outside the room is analyzed in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 15] FIG. 15 is a diagram for explaining the results of the analysis of the time spent outside the room on the day following the day for which the time spent outside the room was analyzed in the task analysis system according to the preferred embodiment of the present disclosure. [Figure 16] FIG. 16 is a diagram for explaining a hardware configuration of a business analysis system according to another preferred embodiment of the present disclosure. [Figure 17] FIG. 17 is a flowchart for explaining the processing of the task analysis system according to another preferred embodiment of the present disclosure. [Figure 18] FIG. 18 is a diagram for explaining a result of task analysis in the task analysis system according to another preferred embodiment of the present disclosure. [Figure 19] FIG. 19 is a diagram for explaining a hardware configuration of a business analysis system according to still another preferred embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Preferred embodiments of the present disclosure will now be described with reference to the drawings.

[0014] Referring to FIG. 1, a task analysis system 1 according to the present disclosure includes a task analysis system main body 10, a recorder 17, a video camera 18, and a transceiver 31.

[0015] A plurality of video cameras 18 are installed, and the images from each of the video cameras 18 are recorded in a recorder 17. When a high-resolution omnidirectional camera is used as the video camera, it is possible to reduce the number of cameras to be installed.

[0016] The business analysis system main body 10 comprises a CPU 11, a RAM 12, a storage device 13, an input device 14, and a display device 15. The RAM 12, the storage device 13, the input device 14, and the display device 15 are configured to be able to exchange data with the CPU 11 via an internal bus 16.

[0017] The storage device 13 is composed of, for example, a flash memory and a hard disk drive. The storage device 13 stores installed programs and various data, etc. The RAM 12 temporarily stores the programs and data, etc., read by the CPU 11.

[0018] The CPU 11 executes a program temporarily stored in the RAM 12 to realize the functions of the task analysis system 1. The CPU 11 controls the input device 14 and the display device 15 in accordance with the contents of the program temporarily stored in the RAM 12. The display device 15 displays a screen for inputting information required for task analysis in response to a command from the CPU 11 in accordance with the contents of the program, accepts input of information required for task analysis by a task analyzer via the input device 14, and displays the results of the task analysis on the screen. The CPU 11 stores the video sent from the recorder 17 in the storage device 13 in accordance with the contents of the program. The CPU 11 transmits data stored in the storage device 13 to the external server 33 via the transceiver 31 and the network 32 in accordance with the contents of the program, receives data from the external server 33 via the network 32 and the transceiver 31, and stores the data in the storage device 13.

[0019] 2, the task analysis system 1 includes a synchronized image acquisition means 41, a flow line acquisition means 42, and a task content acquisition means 43. The synchronized image acquisition means 41 performs time synchronization of the images sent from the recorder 17 and stored in the storage device 13, and arranges the synchronized images on a floor map. The flow line acquisition means 42 labels the task analysis subjects, and acquires the flow lines (time-series coordinate data) by following the task analysis subjects. The task content acquisition means 43 draws the flow lines on the floor map, links the locations on the floor map with the tasks, acquires the task content (and stay time) for each task analysis subject, and outputs it to the display device 15.

[0020] 2 and 3, first, the video cameras 18 and recorders 17 are installed (step S10), and the recorders 17 acquire images from each video camera 18 (step S20). Next, the synchronized image acquisition means 41 acquires synchronized images of the images sent from the recorder 17 and arranges the synchronized images on a floor map (step S30). The movement line acquisition means 42 acquires the movement lines of the persons being analyzed for work (step S40), and the job content acquisition means 43 acquires and outputs the job content of the persons being analyzed for work (step S50).

[0021] Next, steps S10 to S50 will be described in more detail. 3 and 4, in step S10, a plurality of video cameras 18 (seven in this embodiment) are installed on a floor of the nursing home for the elderly. In this case, it is preferable to install the video cameras so that the edges of the images from each camera overlap. In addition, a recorder 17 is installed on the same floor. On this floor, the rooms (P) of users of the nursing home for the elderly are arranged around the floor, and a corridor (C) connecting the rooms (P), a shared kitchen (K), a shared toilet (T), a recording table (R), etc. are also arranged (see FIG. 8).

[0022] In step S20, the period for which the task analysis will be performed is determined, and during that period, the recorder 17 is made to automatically record images taken by each of the seven video cameras 18. The images recorded by the recorder 17 are then sent to the task analysis system main body 10 and stored in the storage device 13.

[0023] Next, the synchronized video acquisition and arrangement step S30 will be further described. The synchronized video acquisition and arrangement step S30 includes a step S301 of time synchronizing the video and a step S302 of arranging the synchronized video on the floor map.

[0024] In the video time synchronization step S301, the number of seconds of deviation was confirmed from the time stamps on the camera images captured by each of the seven video cameras 18, and the deviation value was input by the input device 14. Using the input deviation value, the videos captured by each of the seven video cameras 18 were time-synchronized.

[0025] Next, in step S302, the synchronized video was placed on the floor map (see FIG. 5). At this time, it was made semi-transparent and placed on the floor so that it was easy to see. Although not done here, it is also possible to make it easier to see by applying fisheye lens correction.

[0026] The synchronized image data arranged on the floor map is stored in the storage device 13.

[0027] Next, the flow line acquisition step S40 will be further described. The flow line acquisition step S40 includes a step S401 of labeling the task analysis target person, and a step S402 of tracking the task analysis target person and acquiring the flow line (time-series coordinate data).

[0028] In step S401, a machine learning library (DeepLabCut, etc.) installed in the storage device 13 is executed, and on DeepLabCut, etc., teaching and labeling of the job analysis subjects is performed using a one-hour floor map video (synchronized video data arranged on the floor map) (see FIG. 6). Teaching of the three job analysis subjects 1, 2, and 3 was performed using one-hour images, 30 seconds apart, and 120 frames. The labeling data obtained in this way was transmitted to the external server 33 via the transceiver 31 and network 32, and stored there.

[0029] In step S402, analysis was performed based on the labeling data on Google Colaboratory on the external server 33, and each of the job analysis subjects 1, 2, and 3 was tracked to obtain the movement lines (time-series coordinate data). This analysis took about 3 to 6 hours to obtain the movement lines for one hour for each job analysis subject. After that, the obtained movement line data was stored in the storage device 13 of the task analysis system main body 10 from the external server 33 via the network 32 and the transceiver 31. Note that analysis may be performed based on the labeling data on a GPU (Graphics Processing Unit) under the control of the CPU 11 in the task analysis system main body 10, instead of on the external server 33, to track each of the job analysis subjects 1, 2, and 3, to obtain the movement lines (time-series coordinate data), and the results may be stored in the storage device 13.

[0030] Next, the task content acquisition and output step S50 will be further described. The task content acquisition and output step S50 includes a step S501 of drawing a flow line on a floor map, a step S502 of associating a location on the floor map with a task, and a step S503 of acquiring and outputting task content (and stay time) for each task analysis subject.

[0031] In step S501, the obtained flow line data is plotted on a floor map (see FIG. 7).

[0032] In step S502, the floor map position coordinates and tasks are linked based on the floor map position coordinates and task execution location information that were previously obtained and stored in the storage device 13 (see FIG. 8). In FIG. 8, the room is represented by P, the kitchen by K, the recording desk by R, the toilet by T, and the hallway by C.

[0033] In step S503, the time-series work contents of each of the work analysis subjects 1, 2, and 3 are acquired primarily based on the flow lines (time-series coordinate data) and the position coordinates of the floor map to which the work is linked.

[0034] Next, based on the movement lines (time-series coordinate data) and the location coordinates on the floor map to which tasks were linked, the time spent at each task location was obtained for each of the task analysis subjects 1, 2, and 3, and the task content was secondarily obtained from the time spent at each task location. By knowing the time spent at each task location, it becomes possible to obtain the task content at each task location more accurately.

[0035] Next, the relationship between the work content and the duration for each of the work analysis subjects 1, 2, and 3 was displayed on the display device 15. The diagram showing this relationship can be output to a printer (not shown) or the like as necessary. FIG. 9 is a diagram showing, as an example, the relationship between the work content and the duration for the work analysis subject 1 for the work between 12:00 and 18:00. FIG. 10 is a diagram showing the results of a work investigation of the work analysis subject 1 for the work between 12:00 and 18:00, conducted by an investigator in a time study. Comparing FIG. 9 and FIG. 10, it can be seen that the work analysis of this embodiment can be performed with sufficient accuracy.

[0036] In addition, in step S503, the work content acquisition means 43 acquires work content at at least one of the work analysis subjects 1, 2, 3 corresponding to at least two intersecting flow lines from among the acquired flow lines of each of the work analysis subjects 1, 2, 3, based on the position coordinates of this at least one intersection on the floor map, and displays the work content at this at least one intersection on the display device 15.

[0037] Furthermore, in step S503, the work content acquisition means 43 acquires work content at the at least one intersection of at least one of the work analysis subjects 1, 2, 3 corresponding to the at least two intersecting traffic lines from work performance location information at the at least one intersection obtained from work performance location information previously associated with position coordinates on the floor map and the stay time at the at least one intersection of at least one of the work analysis subjects 1, 2, 3 corresponding to the at least two intersecting traffic lines, and displays it on the display device 15.

[0038] For example, if at least two of the movement paths of the work analysis subjects 1, 2, and 3 intersect at at least one intersection, then at least two of the work analysis subjects 1, 2, and 3 corresponding to the at least two movement paths will be staying in the same place (one intersection) at the same time, and therefore, if the at least two are, for example, caregivers, it is considered that they are engaged in the same work (for example, care work) at the intersection, and the work content at this intersection of the at least two of the work analysis subjects 1, 2, and 3 corresponding to the at least two movement paths is obtained.

[0039] Furthermore, for example, in the case where job analysis subject 1 is a caregiver and job analysis subject 2 is a person being cared for, if job analysis subject 1 is caring for job analysis subject 2 at an intersection where the movement paths of job analysis subject 1 and job analysis subject 2 intersect, the work content of job analysis subject 1 can be acquired more accurately than in the case where the movement path of job analysis subject 1 alone is used.

[0040] In this case, if job analysis subject 1 and job analysis subject 2 are together for a long time at an intersection where the movement paths of job analysis subject 1 and job analysis subject 2 intersect, more detailed information about the work content, such as meal assistance, bathing assistance, rehabilitation, and medication, can be obtained based on the information about the location where the work was performed and the length of time spent there at the intersection.

[0041] In addition, if the job analysis subjects 1 and 2 are caregivers and the job analysis subject 3 is a care recipient, the path of the job analysis subjects 1, 2, and 3 intersect at the intersection. The work content of multiple caregivers can be obtained in more detail than when the individual movement lines of the work analysis subjects 1 and 2 are used.

[0042] In addition, if work analysis subjects 1 and 2 are caregivers and work analysis subject 2 is a person being cared for, and the task execution location information for the intersection where the movement paths of work analysis subject 1 and work analysis subject 2 intersect is a bathroom, a situation will occur in which two caregivers enter the bathroom with one user present, and if the time spent in the bathroom is 20 minutes or longer, more detailed task information will be obtained, in which the two caregivers assist the person being cared for to bathe.

[0043] In the above embodiment, the case of the task analysis subjects being task analysis subjects 1, 2, and 3, and people has been described, but the task analysis subject is not limited to a person, and the technology of the present disclosure can also be applied to objects. For example, it can also be applied to the transfer support device Resyone. For the transfer support device Resyone shown in FIG. 11, teaching was performed at two points 51 and 52 as shown in FIG. 12, tracking was performed at two points, the movement line of the transfer support device Resyone was obtained, and the time spent in the shared space outside the room and near the washbasin in the nursing facility was obtained. The results obtained were equivalent to those obtained by a time study conducted by an investigator.

[0044] Next, we will explain the results of acquiring the time spent outside the room by the work analysis subject (here, the care recipient) in the care facility shown in Figure 13. In Figure 13, the black rectangles indicate the places where the care recipient stayed, that is, the trajectory of the movement line.

[0045] FIG. 14 is a diagram showing the results of teaching and labeling a job analysis subject (person receiving care), and then obtaining the movement line of the job analysis subject (person receiving care), and acquiring the time spent outside the room. FIG. 15 is a diagram showing the results of using the data taught and labeled when obtaining the result of FIG. 14 for a job analysis subject (person receiving care), and obtaining the movement line of the job analysis subject (person receiving care), and acquiring the time spent outside the room the next day. In FIG. 14 and FIG. 15, the unit of time on the vertical axis is minutes. It can be seen that a job analysis subject that has been taught and labeled once can be recognized in an analysis on another day in the same way as on the day of teaching and labeling. This is applicable not only to the next day, but also to task analysis that lasts for several months.

[0046] 16, a task analysis system 2 according to another preferred embodiment of the present disclosure includes a wearable heart rate sensor 19. The other configurations are the same as those of the task analysis system 1 shown in FIG. 1. Referring to FIG. 17, in a flowchart for explaining the processing of the task analysis system according to another preferred embodiment of the present disclosure, in the task analysis system according to the above-mentioned preferred embodiment, task content acquisition and output step S50 includes step S503 of acquiring and outputting task content (and duration) for each task analyzed subject, but in this other preferred embodiment, a step S503' of acquiring and outputting task content and physical burden for each task analyzed subject is included, which is different from the task analysis system according to the above-mentioned preferred embodiment, but the other points are the same.

[0047] The subject of work analysis (care worker) was wearing a wearable heart rate sensor 19, and measurements were taken simultaneously with the video camera 18 and the wearable heart rate sensor 19. The heart rate was plotted on the movement line determined by the video camera 18, and the results are shown in Figure 18. The heart rate itself is displayed on a coordinate system in chronological order, linked to the coordinates of the movement line. When two heart rates overlap on the same coordinate system, the display of the later one takes priority.

[0048] When the heart rate is high, the bar graph turns black. The rising parts of the bar graph that are close to black (pointed to by an arrow) are the coordinates of the toilet, and it can be seen that the heart rate is elevated (120-140 beats per minute) while in the toilet related to excretion assistance, whereas in the kitchen it is relatively calm (90-120 beats per minute). In the toilet on the left center, the heart rate is low, and it is analyzed that this was a task that did not involve assistance.

[0049] In this way, it is possible to perform a physical burden analysis linked to the job content, and in addition to the work analysis based on the movement line, it is possible to perform a more detailed work analysis. It is very meaningful to obtain the degree of physical burden as well, and it is possible to obtain data on how the degree of burden is reduced when, for example, a robotic nursing device is used.

[0050] 19, a task analysis system 3 according to yet another preferred embodiment of the present disclosure includes an IC recorder 20. The other configurations are the same as those of the task analysis system 1 shown in FIG. 1. If the person being analyzed for task (e.g., a care worker) carries an IC recorder 20 and records what is spoken on the IC recorder 20 at the same time as measurements taken by the video camera 18, it becomes possible to display the spoken content on the movement line. By pasting a list of sentences or displaying the number of words in a graph as a guide to the amount of speech, it becomes possible to aid in more detailed task analysis.

[0051] The preferred embodiments of the present disclosure have been described above, and the technology of the present disclosure has the advantages of enabling long-term business analysis (continuous investigations for several months or more are possible, depending on the recording medium) that was previously difficult due to cost issues, recording of business operations with a resolution in seconds, and investigations being possible simply by installing a camera. The technology of the present disclosure is also capable of analysis using black and white images instead of color images. Therefore, investigations at night can be conducted by using a camera with night vision capabilities.

[0052] In addition, once the features of the work analysis object are labeled, the data can be used later, reducing the long-term analysis cost. Also, although it depends on the camera's angle of view and resolution, it is possible to analyze the movement of a certain part of the work analysis object, such as an arm or a leg, individually by labeling that part for a certain physical movement in that part. In this way, by limiting the labeling part to a part of the work analysis object, it is possible to analyze the movement of that part, rather than the entire work analysis object.

[0053] Moreover, the disclosed technology allows analysis with only a camera costing around 10,000 yen, a recording device costing several tens of thousands of yen, and a personal computer. When installing a new system, it costs hundreds of thousands of yen to lay cables, but it is possible to attach the camera to a microphone stand or the like and set it up temporarily, or in hospitals and facilities, it is possible to conduct an investigation using existing security cameras, in which case the cost is only for analysis, making it a low-cost business analysis system. Business analysis can semi-automatically obtain information such as the fact that a certain location is used frequently, the time spent on a certain task is very long, or the heart rate or rate of speech is very high in a certain task, and can thus be used to consider the direction of business improvement.

[0054] An example of its introduction is nursing care facilities. In Japan, the shortage of nursing care workers due to the aging population is an urgent issue, and in order to reduce the burden on staff at nursing care facilities and improve labor efficiency, it is essential to analyze the work content of tens of thousands of nursing care facilities throughout Japan and make efforts to improve work based on the results. In addition, in recent years, robotic nursing equipment aimed at reducing the burden on staff has been developed and is being introduced. However, in order to continue to operate them sustainably, it is necessary to change the operation on site, so it is important to easily analyze and visualize the work within the facility. As a result, the technology disclosed here matches the market.

[0055] As described above, the technology disclosed herein can be suitably applied to the analysis and investigation of the work of caregivers in care facilities, but it can also be used in work that directly involves people and places, people and people, and even people and things, such as investigations into the movement lines of staff in hospitals, analysis of the movement lines and work of workers in factories, and even customer surveys in small stores.

[0056] Furthermore, the technology disclosed herein targets all tasks in a closed space (such as a facility or floor), and can identify, for example, which person is involved in assisting which other person, and what tasks all people not involved in assisting are performing at that time. This type of task analysis is difficult to perform using the previously used time study method.

[0057] Although various exemplary embodiments of the present disclosure have been described above, the present disclosure is not limited to these embodiments, and the scope of the present invention is limited only by the following claims. [Explanation of symbols]

[0058] 1, 2, 3...Business Analysis System 41...Synchronized image acquisition means 42…Flow line acquisition means 43…Means for obtaining business details

Claims

1. a synchronized image acquisition means for synchronizing a plurality of images acquired from a plurality of video cameras, respectively, to obtain a synchronized image associated with a position coordinate of a map; a flow line acquisition means for labeling the task analysis target from the synchronized image and acquiring a flow line of the task analysis target, wherein the flow line acquisition means labels a plurality of the task analysis targets and acquires a flow line of each of the task analysis targets; a task content acquisition means for acquiring task content of a task subject to task analysis in chronological order from the acquired traffic lines and position coordinates of the map, wherein the task content acquisition means acquires task content at the at least one intersection of at least one task subject to task analysis among the multiple task content subjects corresponding to the at least two intersecting traffic lines from at least two traffic lines that intersect at least one intersection among the multiple task content subjects acquired and the map position coordinates of the at least one intersection.

2. a synchronized image acquisition means for synchronizing a plurality of images acquired from a plurality of video cameras, respectively, to obtain a synchronized image associated with a position coordinate of a map; a flow line acquisition means for labeling the task analysis target from the synchronized image and acquiring a flow line of the task analysis target, wherein the flow line acquisition means labels a plurality of the task analysis targets and acquires a flow line of each of the task analysis targets; a task content acquisition means for acquiring task content at the task location from task execution location information previously associated with position coordinates of the map and a stay time at the task location of the task analysis target obtained from the traffic lines, wherein the task content acquisition means acquires task content at the task location from task execution location information previously associated with position coordinates of the map and a stay time at the task location of the task analysis target obtained from the traffic lines, the task content acquisition means acquiring task content at the task location of the task analysis target corresponding to the at least two intersecting traffic lines from task execution location information previously associated with position coordinates of the map and a stay time at the at least one intersecting traffic lines of the task analysis target.

3. 3. The task analysis system according to claim 1, wherein the task content acquisition means acquires a plurality of task contents within a predetermined time period of the task to be analyzed and task execution times of each of the plurality of task contents.

4. The flow line acquisition means labels the plurality of task analysis targets and acquires the flow lines of the respective task analysis targets; 4. The work analysis system according to claim 3, wherein the work content acquisition means acquires a plurality of work contents and a work execution time of each of the plurality of work contents within a predetermined time period of the plurality of work analysis subjects for each of the plurality of work analysis subjects.

5. 3. The work analysis system according to claim 2, wherein the work content acquisition means acquires work content at the work performance location from work performance location information that has been previously associated with location coordinates on the map and physical burden information of the work analysis subject acquired from a physical burden measurement means that measures the physical burden of the work analysis subject.

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