KR101245231B1 - Motion analysis method using videos and computer readable storage medium recorded motion analysis program - Google Patents

Abstract

PURPOSE: A program recording medium and a motion analysis method thereof using moving pictures are provided to observe and analyze specific time and motions included in machine work and human work through motion analysis, thereby preventing waste. CONSTITUTION: Work motion of a worker is photographed by a photographing device(S10). Moving pictures are stored in a computer, and a motion analysis program for analyzing the work motion is installed in the computer(S20). An operation environment and a motion environment of the motion analysis program are set, changed, and stored for classifying the type of the work motion(S30). The moving pictures are classified and registered by the motion analysis program(S40). The moving pictures are reproduced, analyzed, and edited by the motion analysis program(S50). [Reference numerals] (S10) Moving picture photographing step; (S20) Program installation step; (S30) Environment setting step; (S31) Color setting step; (S32) Work type registration step; (S33) Path setting step; (S40) Work registration step; (S41) Project registration step; (S42) Combined work registration step; (S43) Multi-work registration step; (S44) Line balancing registration step; (S45) Comparison analysis registration step; (S50) Work analysis step; (S51) Project analysis step; (S52) Combined work analysis step; (S53) Multi-work analysis step; (S54) Line balancing analysis step; (S55) Comparison and analysis step; (S60) Result derivation step

Description

Motion analysis method using videos and computer readable storage medium recorded motion analysis program}

The present invention relates to a motion analysis method using a moving picture and a recording medium on which the program is recorded. More specifically, the detailed time and motions included in a mechanical work and a human work are analyzed and analyzed in detail through a motion analysis using a moving picture. The present invention relates to a motion analysis method using a moving picture and a recording medium on which a program is recorded, which can standardize a work management system to remove waste and to set a better order or combination of work.

The study of motion and time on human work activities has been developed by Taylor or Gilbres, and is a scientific basic technique that is recognized as an essential technique for improvement activities in the world.

As a concrete application, it is abundant knowledge to use motion position, to analyze the detailed time and motions involved in mechanical work and human work, to eliminate waste, and to set the order or combination of better work. It requires experience, and it is thought to be an expert's work because it requires mental concentration and a lot of time and effort to obtain precise data.In the industry, it is generally considered difficult and annoying to recognize the necessity and effect of implementation. Not fully utilized.

However, in the era of international competition in cost competition, efficient operation of factories requires the transition to the most effective time management system and the standardization of an improved work management system to achieve it. The method of analyzing this has become an inevitable situation, and researches on how to easily and simply carry it out are actively conducted.

As an example, Korean Patent Publication No. 10-0929001 discloses a method of measuring a working time using a video, and its main technical configuration is a video using a continuous video of a worker's operation of the same repetitive work in a production line. Work time is measured, but by setting the work type separately in the element work and the element work, it is possible to measure the measurement time until the measurement is completed by setting the repetition once in the repeated measurement work. In addition to being able to, it is characterized by being configured to measure the work type by finely divided for the element work.

The prior art is characterized in that it is configured to more efficiently measure the working time of the worker made of repetitive work in the production line, but this is only used to measure the working time, so that the standardization of the overall work management system There are disadvantages that are not suitable.

In other words, in order to standardize the work management system for the purpose of improving productivity, not only simply measuring the working time, but also comparing and analyzing the measured working time, as well as editing based on the comparative analysis results, the optimal work management system Compared to the need for a process for designing the present invention, since the conventional technology describes only a simple work time measurement method, there is a problem that is not suitable for the design of a standardized work management system.

The present invention has been made to solve the problems of the prior art as described above, the object of the present invention is to waste in detail by observing and analyzing the specific time, operations included in the mechanical work and human work through motion analysis using video The present invention provides a method for analyzing a motion using a moving picture and a recording medium on which the program is recorded so that the task management system can be standardized by eliminating the problem and allowing a better job order or combination to be set.

According to an aspect of the present invention,

In the motion analysis method using a video, a video recording step of photographing a worker's work using a photographing device, and a motion analysis program for storing the captured video in a computer, and analyzing the work motion included in the video The program installation step installed in the program, and the environment setting step of setting, changing, and saving the operation environment and operation environment of the motion analysis program to distinguish the types of work motions included in the video, and the video recorded using the motion analysis program The job registration step of classifying and registering the job by job, the job analysis step of reproducing and analyzing and editing a video corresponding to a registered job using a motion analysis program, and the record analyzed in the job analysis step. Characterized in that it comprises a calculation result derivation step.

At this time, the environment setting step is a color setting step for setting the color for each operation type of the operation operation, the operation operation is divided into the operation type by displaying the color set in the color setting step and input and save in the motion analysis program with a description The task type registration step and the motion analysis program may be configured to include a path setting step of setting a path for loading a video stored in a computer.

In addition, the task registration step, the project registration step of registering the operation operation to be analyzed for each project by classification, and separating and storing the portion corresponding to the registered project of the recorded video, and the task to be analyzed Register and classify the work that the worker and the machine do together during operation, and register and save the image corresponding to the part registered by the federation work among the recorded videos, and the work operation that is the target of analysis It is characterized in that it comprises a multi-task registration step of classifying and registering the task to be analyzed by the multi-task combined the operation operations, and separating and storing the image corresponding to the multi-task among the captured video.

And, the job registration step is to register and register the detailed jobs in order to analyze the imbalance state of the various work operations of the work operations to be analyzed, and to separate and store the image corresponding to the registered detailed work from the recorded video It further comprises a line balancing registration step.

In addition, the operation analysis step, select and play a video corresponding to any project among the projects registered in the project registration step, and divide the project into a preparatory operation, basic operation, finishing operation, exception operation, waste operation The project analysis step of measuring and recording the time for each operation and editing the video corresponding to the unnecessary operation part, and selecting and playing the video corresponding to any federation work among the federation work registered in the association work registration step, The task is divided into sections and the time is measured and recorded for each section, and the association task analysis step of editing a video corresponding to an unnecessary motion part, and the video corresponding to any multi task among the multiple tasks registered in the multi task registration step Select playback to measure time and edit videos for unnecessary parts Select and play a video corresponding to the detailed tasks registered in the multi-task analysis step and the line balancing registration step to measure the time, and edit to reduce the overall work time by distributing the detailed work that takes the maximum time as a result of the measurement. It characterized in that it comprises a line balancing analysis step.

In addition, the job registration step further includes a comparative analysis registration step of separating and storing a video for analyzing the difference by the characteristics of each worker or machine for the same job operation, the job analysis step in the comparison analysis registration step The method may further include a comparative analysis step of simultaneously playing and analyzing the registered video.

In the result deriving step, the result analyzed in the work analysis step is displayed by graphing the color for each operation type set in the color setting step.

On the other hand, the recording medium in which the motion analysis program according to the present invention is recorded is characterized in that the motion analysis program for performing the motion analysis method.

According to the present invention, the task management system by removing the waste by finely observing and analyzing the specific time and movements included in the mechanical work and the human work through motion analysis using a video to set a better order or combination of work It has the outstanding effect of standardizing the standard so that productivity can be improved.

1 is a flow chart showing a motion analysis method using a video according to the present invention.
2 is a view showing an embodiment of a color setting step using a motion analysis program of the present invention shown in FIG.
3 is a view showing an embodiment of a job type registration step using a motion analysis program of the present invention shown in FIG.
4 is a view showing an embodiment of a routing step using a motion analysis program of the present invention shown in FIG.
5 is a view showing an embodiment of a project registration step using the motion analysis program of the present invention shown in FIG.
Figure 6 is a view showing an embodiment of the association operation registration step using the motion analysis program of the present invention shown in FIG.
7 is a view showing an embodiment of a multi-task registration step using the motion analysis program of the present invention shown in FIG.
8 is a view showing an embodiment of the line balancing registration step using the motion analysis program of the present invention shown in FIG.
9 is a view showing an embodiment of a comparative analysis registration step using a motion analysis program of the present invention shown in FIG.
10 is a view showing an embodiment of a project analysis step using the motion analysis program of the present invention shown in FIG.
11 is a view showing an embodiment of the association operation analysis step using a motion analysis program of the present invention shown in FIG.
12 is a view showing an embodiment of a multi-task analysis step using a motion analysis program of the present invention shown in FIG.
13 is a view showing an embodiment of the line balancing analysis step using the motion analysis program of the present invention shown in FIG.
14 is a view showing an embodiment of a comparative analysis step using a motion analysis program of the present invention shown in FIG.
15 and 16 is a view showing an embodiment of a result derivation step using a motion analysis program of the present invention shown in FIG.

Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the motion analysis method using a moving picture and a recording medium in which the program is recorded according to the present invention.

1 is a flow chart showing a motion analysis method using a video according to the present invention, Figures 2 to 4 are views showing embodiments of the environment setting step using a motion analysis program of the present invention shown in Figure 1, Figures 5 to 9 is a view showing embodiments of a job registration step using the motion analysis program of the present invention shown in Figure 1, Figures 10 to 14 is an embodiment of a job analysis step using the motion analysis program of the present invention shown in FIG. 15 and 16 are views showing an embodiment of a result derivation step using a motion analysis program of the present invention shown in FIG.

The present invention standardizes the work management system by enabling detailed observation and analysis of specific time and motions included in machine work and human work to remove waste and setting a better order or combination of tasks through motion analysis using video. The present invention relates to a motion analysis method using a video and a recording medium on which a program is recorded. The motion analysis method using a video according to the present invention is performed by a video recording step. (S10), the program installation step (S20), the environment setting step (S30), the job registration step (S40), the job analysis step (S50) and the result derived step (S60).

In more detail, the video recording step (S10) relates to the step of recording the operation of the worker using a recording device such as a digital camera or camcorder, mainly the operation of the worker in the production line for producing a specific article Will be photographed.

At this time, the photographing of the work operation may be performed at a time as a whole, or the work operation may be classified by project, or may be taken by divided sections by dividing each project into more detailed work types.

In addition, since the time required for the same work process may vary depending on the worker or the machine used by the worker, it is preferable to photograph each of the work operations performed by as many workers as possible.

Next, the program installation step (S20) stores the video taken in the video recording step (S10) in a storage device such as a computer, and the motion analysis program for checking and analyzing the operation operation included in the recorded video to the computer Regarding the installation step, the motion analysis program is configured to convert and play the video recorded by the recording device to a file format such as mpg, mp4, avi, wmv and the like can be played on a computer.

Next, the environment setting step (S30) is to set the operation environment and operation environment of the motion analysis program installed in the program installation step (S20) to identify and analyze the work operation included in the video by job type or by work element And a step of changing and storing the color, and including a color setting step S31, a job type registration step S32, and a path setting step S33.

In more detail, the color setting step (S31) relates to the step of setting the color for each operation type in order to be able to distinguish the operation operation in the production line by type, wherein the operation type is shown in Figure 2, It can be divided into valid operation, invalid operation, extra measurement operation, and non-measurement section.

In other words, the working operation performed by the worker in the production line is divided into effective operation necessary in the work process, unnecessary invalid operation in the working process, extra-measurement operation not related to the working process, and unmeasured section that does not require time measurement. By setting and storing different colors for each operation element, the user can more easily check the analysis result in the job analysis step S50 and the result derivation step S60 to be described later.

In addition, in the color setting step (S31), it is possible to set the type of displaying the measurement time for each operation element, and to set the use of color display for each operation element.

Next, the operation type registration step (S32) relates to the step of inputting and storing the operation operation performed by the worker in the production line by operation type in the operation element program, as shown in FIG. After dividing by project, and classifying the divided projects by operation type such as preparation process, sewing process, finishing process, etc. and displaying them with the color set in the color setting step (S31), input and store a brief description of the divided operation types. It is configured to be.

Next, the path setting step (S33) relates to the step of setting a path to load the video stored in the computer in the motion analysis program in the program installation step (S20), as shown in FIG. If a path for importing is set, information on the video file stored in the specified path is displayed, and if any of the files is selected, the selected video file is previewed.

On the other hand, the job registration step (S40) relates to the step of classifying the video stored in the computer for each operation to register in the motion analysis program, the video loaded through the path set in the path setting step (S33) by project and action type, It is to input and save in motion analysis program by dividing it into union work where worker and machine work together and multiple tasks combining several work motions.

In more detail, the job registration step (S40) may be subdivided into a project registration step (S41), a union job registration step (S42) and a multi-task registration step (S43), the project registration step (S41) first It relates to a step of classifying a work operation, that is, a work process to be analyzed, into a motion analysis program for each project, and separately storing and storing the video stored after shooting so as to correspond to the project.

In other words, analyzing the entire work process at the same time at the same time can be considerably inefficient and inaccurate when considering the overall work time. Therefore, the work process is divided into several projects, and the saved videos are edited to match the separated projects. By inputting and storing as much as possible, more efficient and accurate analysis work can be made in the following work analysis step (S50).

At this time, in the project registration step (S41), as shown in FIG. 5, each divided project is re-divided into more subdivided operation types, and the videos divided by projects are edited to correspond to the subdivided operation types again. Of course, you can also input and save.

Next, the federation operation registration step (S42) is to separate the work operation that the operator should use the machine, that is, the worker and the machine operation of the machine during the operation operation that is the target of the analysis separately and register the video stored after shooting The present invention relates to a step of separating and responding to a federation operation and inputting and storing the same in a motion analysis program.

In other words, the work using the machine can be produced in a more effective analysis work by registering separately, since a lot of difference can occur in the working time, especially by the skill or know-how of the operator.

In this case, as shown in FIG. 6, the operation operations classified into the allied operation may also be divided and stored by a plurality of processors and subdivided operation types.

Next, in the multi-task registration step (S43), among the operation operations that are the targets of the analysis, the operation operations to perform the analysis by combining the various operation operations are divided into multiple tasks and registered in the multi-task among the stored videos after shooting. The present invention relates to a step of separating and inputting a corresponding image into a motion analysis program.

That is, in the processor registration step, a work operation performed by one connected process among a plurality of processors and work operations divided by detailed operation types corresponding to each processor needs to be analyzed by combining several of the divided work operations. Therefore, as shown in FIG. 7, multiple task operations in this connection process can be improved by improving the efficiency of motion analysis by separating and registering them as multiple tasks.

In addition, the job registration step (S40) may be configured to further include a line balancing registration step (S44), the line balancing registration step (S44), as shown in Figure 8, during the operation operation to be analyzed In order to analyze the imbalance status of various work operations, a method for separating and inputting detailed tasks requiring analysis on an imbalance is classified, and storing the corresponding images by separating and storing corresponding images.

That is, the line balancing registration step (S44) is to reduce the overall work time by reducing the bottleneck generated in the production line, in the processor registration step for each of the plurality of processors and the detailed operation type corresponding to each processor The present invention relates to a step of registering a processor and detailed work operations having a large work time deviation among work operations according to operation types among the divided work operations, and inputting and storing a corresponding video.

In addition, the job registration step (S40) is further configured to include a comparative analysis registration step (S45) for separating and storing a video for analyzing the difference by the characteristics of each worker or machine for the same work operation.

In more detail, in order to standardize the work management system, the task of setting the optimized standard operation and verifying the standard time required for the standard operation must be necessarily accompanied, so that the comparative analysis registration step (S45) is illustrated in FIG. 9. As shown in the above, the same work operation is performed by registering a project or a coalition work in which a difference in work time is caused by the skill of the worker in a motion analysis program separately, and inputting a plurality of worker-specific videos corresponding to the registered project or coalition work. It is to enable comparative analysis of.

On the other hand, the job analysis step (S50) relates to the step of allowing the user to analyze the job operation by playing the video for each job classified and registered in the job registration step (S40) using a motion analysis program. This work analysis may include time measurement of work actions and editing of unnecessary work actions.

In this case, the video played through the motion analysis program may be controlled at a speed and may be partially enlarged by displaying a region using a mouse.

In more detail, the work analysis step (S50) comprises a project analysis step (S51), a combined work analysis step (S52), a multi-task analysis step (S53) and a line balancing analysis step (S54). The project analysis step (S51) relates to the step of measuring and analyzing the time for each operation operation of the project through the reproduction of the video for each project registered in the project registration step (S41).

That is, as shown in Figure 10, when selecting any of the projects registered in the project registration step (S41), and press the analysis button provided in the motion analysis program, the work analysis window is opened, the work analysis window is selected The movie corresponding to the project is played.

In this case, the project may be classified into a preparation operation for preparing a task, a basic operation for performing an actual task, a finishing operation for finishing a task, an exception operation made irrelevant to the task, and an unnecessary waste operation for the task. The operation, the basic operation, and the finishing operation are displayed in the color of the valid operation set in the color setting step S31, and the exception operation and the waste operation may be expressed in the color of the invalid operation.

In this way, the motion is measured by giving a stop signal during playback of the video, and if the left button of the mouse is pressed while the video is playing, the video stops playing and the left button of the mouse is pressed once more. Press to determine that the operation is completed and the time measurement stops and the operation is recorded in the registered column.

In addition, in order to start playing again when the video is stopped, the play button provided in the task analysis window may be clicked.

In addition, an invalid operation corresponding to an exception operation and a waste operation included in a work operation can be selected by right-clicking the mouse. If a user presses the right button of the mouse while playing a video, it is selected as an invalid operation and starts a new time measurement. When the invalid operation is completed, press the right button of the mouse again to complete the time measurement and measure the time corresponding to the invalid operation.

When the playback of the video for the selected project is completed through the above process, the measurement time for each operation operation divided as described above is displayed, and if the invalid operation part is deleted, the video corresponding to the measurement time section corresponding to the invalid operation is displayed. You can get a new edited video in this removed state.

In addition, the project analysis step (S51) may be configured to include a re-analysis step, the re-analysis step is to play a role to be able to play again to analyze the video edited through the project analysis.

In other words, after selecting the edited video in the project analysis step (S51), and as shown in Figure 10, when the re-analysis button provided in the motion analysis program is pressed, the edited video is played to reproduce the project as described above (S51) Once again, the same process as above) can be used to re-analyze the edited video.

Next, the association operation analysis step (S52) is to analyze the operation operation of the operator that the user performs the association operation by selecting and playing the video corresponding to any of the union operation registered in the association operation registration step (S42) Regarding the step to make it possible, after selecting any federation of the federation operation registered in the association operation registration step (S42), as shown in Figure 6 and 11, click the analysis button provided in the motion analysis program The video corresponding to the selected coalescing work is reproduced, and analysis such as time measurement for each coalescing work for each coalescing work and editing of invalid actions are performed in the same manner as in the above-described project analysis step S51.

At this time, in the association operation analysis step (S52) is configured so that the video before the improvement and the video after the improvement for the same association work can be played at the same time.

Next, the multi-task analysis step S53 selects and plays a video corresponding to any multi-task among the multi-tasks registered in the multi-task registration step S43, and the user measures time and invalid operation for each multi-task. This step allows you to perform analysis such as editing.

That is, as shown in Figure 7, when the user selects any multi-task among the multi-task registered in the multi-task registration step (S43), a video for the multi-task is provided as a preview, provided in the motion analysis program When the analysis button is pressed, the video corresponding to the selected multi-task is simultaneously played as shown in FIG. 12, and time measurement and invalid operation for each task are performed by the same method as in the above-described project analysis step (S51). The same analysis is done for editing.

Next, the line balancing analysis step (S54) measures the time for each operation by using the video for the detailed tasks registered in the line balancing registration step (S44), and detailed work that takes the maximum time according to the measurement result It is about editing to reduce the overall work time by reducing bottlenecks in the work process by distributing it to the rest of the work.

That is, as shown in Figure 8, when selecting any of the jobs registered in the line balancing registration step (S44), a video for the job is provided as a preview, the analysis button provided in the motion analysis program When pressed, as shown in FIG. 13, the video for the jobs are continuously played, and the time required for each job is measured.

At this time, the operation time for the most time-consuming task is displayed as the bottleneck time (Necktime) on the motion analysis program, and the line balancing (LOB) efficiency accordingly is displayed. Editing the work properly to distribute the work to the rest of the work, that is, work that takes relatively less time, reduces bottlenecks and improves line balancing efficiency, thereby reducing overall work time.

In addition, the operation analysis step (S50) may be configured to further comprise a comparative analysis step (S55), the comparison analysis step (S55) is two videos for the same job registered in the comparative analysis registration step (S45) It is related to the step of simultaneously playing the analysis.

That is, as shown in Figure 9, if any task registered in the comparative analysis registration step (S45) is selected, two videos of the corresponding operation to shoot another operator is implemented as a preview at the same time, the motion analysis program When the provided analysis button is pressed, as shown in Fig. 14, two videos are simultaneously played.

Therefore, if analysis such as time measurement for each operation operation and editing of invalid operation are performed on the two videos reproduced by the same method as in the above-described project analysis step (S51), the characteristics of each worker or machine The difference can be analyzed.

On the other hand, the result derivation step (S60) is a step that allows the user to easily check the analysis results for the operation operation by displaying the result analyzed in the above-described operation analysis step (S50) by graphing the operation analysis program It is about.

In more detail, the analysis result in the project analysis step (S51) is shown in Figure 15, the bar graph, column graph and scatter graph of the time required for each operation type for subdividing the project registered in the project registration step (S41) It may be displayed in any one form, the analysis results are displayed by distinguishing the color for each operation type set in the color setting step (S31).

In addition, the analysis results in the association work analysis step (S52) also, as shown in Figure 11, can be represented by the shape of the graph of the time required by the operation type by subdividing the association work, the time required by the manual labor of the operator, The time spent working on the machine and the time spent waiting for the machine are displayed separately before and after improvement.

And, the analysis result in the multi-task analysis step (S53), as shown in Figure 12, can also be represented by graphing the time required for the multi-task, the analysis results in the line balancing analysis step (S54) is also shown in Figure 13 As shown, it can be represented graphically, including bottleneck time and line balancing efficiency.

In addition, the analysis result in the comparative analysis step (S55) can be represented by graphing the time required by the two videos for the same work operation, as shown in Figure 16, even in this case, the color analysis results Of course, it can be displayed by distinguishing the color for each operation type set in step S31.

Therefore, the motion analysis method using the video according to the present invention is completed through the above process, using the work analysis results derived in the result derivation step (S60) to derive an improvement plan that can improve the work operation of the worker and By minimizing the waste included in the work movement and setting up a better work order or combination, the optimal work movement is realized by repeating the process of photographing and analyzing the work movement performed by the derived improvement plan again. As a result, it is possible to finally standardize the work management system, thereby improving productivity.

In addition, the motion analysis program for performing the motion analysis method as described above may be stored and stored in a computer-readable recording medium.

The above embodiments have been described with respect to the most preferred examples of the present invention, but are not limited to the above embodiments, and use a conventional keyboard or its alternative means as a means for inputting a job name or the like into a motion analysis program. It will be apparent to those skilled in the art that various modifications can be made without departing from the spirit of the present invention, such as using a conventional monitor as a means for reproducing the result analyzed by the analysis program or the photographed moving picture.

The present invention relates to a motion analysis method using a moving picture and a recording medium on which the program is recorded. More specifically, the detailed time and motions included in a mechanical work and a human work are analyzed and analyzed in detail through a motion analysis using a moving picture. The present invention relates to a motion analysis method using a moving picture and a recording medium on which a program is recorded, which can standardize a work management system to remove waste and to set a better order or combination of work.

S10: video recording step S20: program installation step
S30: environment setting step S31: color setting step
S32: job type registration step S33: path setting step
S40: work registration step S41: project registration step
S42: registration step of union operation S43: registration step of multi task
S44: registration step of line balancing S45: registration step of comparative analysis
S50: work analysis stage S51: project analysis stage
S52: association task analysis stage S53: multi task analysis stage
S54: line balancing analysis step S55: comparative analysis step
S60: Result Derivation Stage

Claims (8)

In the motion analysis method using a video,
A video recording step of photographing an operation of a worker using a photographing apparatus;
A program installation step of storing a captured video on a computer and installing a motion analysis program on the computer to analyze a working motion included in the video;
An environment setting step of setting, changing, and storing an operation environment and an operation environment of a motion analysis program to distinguish the types of work operations included in a video;
A job registration step of classifying and registering the captured video by using the motion analysis program;
Work analysis step of playing, analyzing and editing the video corresponding to the registered work using the motion analysis program; and
Including the result derivation step of calculating the analysis result by combining the records analyzed in the work analysis step,
The environment setting step,
Color setting step to set the color of each operation type by operation type, task type registration step and operation analysis to classify operation operation by operation type and display the color set in the color setting step and input and save it to motion analysis program with explanation. Motion analysis method using a video comprising a path setting step of setting a path for the program to load the video stored in the computer.
delete The method of claim 1,
The job registration step,
A project registration step of registering and classifying a work operation that is a target of analysis for each project, and separating and storing a part of a recorded video corresponding to a registered project;
Registered work registration step of classifying and registering the work done by the worker and the machine during the operation operation to be analyzed, and separates and stores the image corresponding to the registered part of the recorded video in the federation work, and
It consists of a multi-task registration step that separates and registers the task to be analyzed as a multi-task combining multiple task movements among the task operations to be analyzed, and separates and saves the image corresponding to the multi-task among the recorded videos. Motion analysis method using a video, characterized in that.
The method of claim 3, wherein
In the job registration step, line balancing is performed by dividing and registering detailed tasks in order to analyze an imbalance state of various task operations among the task operations targeted for analysis, and separating and storing images corresponding to the registered detailed tasks from the captured video. Motion analysis method using a video, characterized in that it further comprises a registration step.
5. The method of claim 4,
The operation analysis step,
Select and play a video corresponding to a random project among the projects registered in the project registration step, and record the time by each action classified into a preparatory operation, a basic operation, a finishing operation, an exception operation, and a waste operation. The project analysis step of editing a video corresponding to an unnecessary motion part,
Select and play a video corresponding to any federation work among the federation work registered in the federation work registration step, divide the federation work by section, measure and record the time per section, and edit the video corresponding to the unnecessary motion part Combined work analysis stage,
A multi-task analysis step of selecting and playing a video corresponding to an arbitrary multi-task among the multi-tasks registered in the multi-task registration step, and editing a video corresponding to an unnecessary part;
The line balancing analysis step of selecting and playing the video corresponding to the detailed tasks registered in the line balancing registration step to measure the time, and editing to reduce the overall work time by distributing the detailed work that takes the maximum time as a result of the measurement. Motion analysis method using a video, characterized in that configured to include.
6. The method of claim 5,
The job registration step further includes a comparative analysis registration step of separating and storing a video for analyzing the difference by characteristics of each worker or machine for the same job operation,
The operation analysis step further comprises a comparison analysis step of analyzing and simultaneously playing the video registered in the comparison analysis registration step motion analysis method using a video.
The method of claim 1,
In the result deriving step, a motion analysis method using a video, characterized in that the result analyzed in the task analysis step is displayed by graphing the color by motion type set in the color setting step.
A recording medium comprising a motion analysis program for performing a motion analysis method according to any one of claims 1 and 3.

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