Production management system, production management method, and program thereof

Abstract

To provide a production management system that facilitates production management based on expected output from work. [Solution] The production management system includes an extraction unit, an acquisition unit, and a determination unit. The extraction unit extracts a predetermined area from a video of a work site for placing a product that will be a deliverable by a worker. The acquisition unit detects whether an image of a human hand is present in the video of the predetermined area, and records the time when the human hand shape is detected and the time when the human hand shape cannot be detected after the detection as an analysis log. The determination unit adds the actual volume of the product if the time lapse from the time when the human hand shape is detected to the time when the human hand shape cannot be detected after the detection of the human hand is greater than a predetermined value.

Description

[Technical field]

[0001] The present disclosure relates to a production management system, a production management method, and a program therefor. [Background technology]

[0002] In recent years, there has been a labor shortage in domestic manufacturing sites, and the need for small-lot, high-mix production has led to a demand for more efficient operation of traditional tasks with fewer people. Conventionally, the commonly used method of manually grasping and improving work involves a production manager visiting the production site and measuring operations with a stopwatch. Since data is collected, analyzed, and improvements are considered manually, the operating costs are high, and it is only used locally when it is deemed particularly necessary, and it cannot be performed on a regular basis.

[0003] In response to the above, for example, Patent Document 1 discloses a technology for supporting improvement of a work process by detecting hands from an image of a work area and determining when to stop work in the work process based on the hand detection results. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2022-072116 Summary of the Invention [Problem to be solved by the invention]

[0005] The ultimate goal of improving a work process is production management to determine whether the work will produce the expected output. The technology for supporting work process improvements described in Patent Document 1 provides indirect support for producing the expected output, but does not directly manage the output.

[0006] An object of the present disclosure is to provide a production management system, a production management method, and a program therefor that solve the above-mentioned problems. [Means for solving the problem]

[0007] A production management system according to one embodiment of the present disclosure comprises an extraction means for extracting a designated area from an image of a work site for placing a product that will be the end product of a worker, a determination means for detecting whether an image of a human hand is present in the image of the designated area and recording as an analysis log the time when the human hand shape is detected and the time when the human hand shape cannot be detected after detection, and a management means for adding actual volume of goods if the time elapsed from the time when the human hand shape is detected to the time when the human hand shape cannot be detected after detection of the human hand is greater than a designated value.

[0008] A production management method according to one aspect of the present disclosure is carried out by a computer to extract a designated area from video of a work site for placing a product that will be the end product of a worker, detect whether an image of a human hand is present in the video of the designated area, record the time when the human hand shape is detected and the time when the human hand shape cannot be detected after detection as an analysis log, and add the actual volume of the product if the time elapsed from the time when the human hand shape is detected to the time when the human hand shape cannot be detected after detection of the human hand is greater than a designated value.

[0009] A program for production management according to one embodiment of the present disclosure causes a computer to extract a designated area from video of a work site for placing products that will be the end product of a worker, detect whether an image of a human hand is present in the video of the designated area, record the time when the human hand shape is detected and the time when the human hand shape cannot be detected after detection as an analysis log, and add the actual volume of the product if the time elapsed from the time when the human hand shape is detected to the time when the human hand shape cannot be detected after detection of the human hand is greater than a designated value. Effect of the Invention

[0010] According to the above aspect, production management based on the expected output of work can be easily performed. [Brief description of the drawings]

[0011] [Figure 1] FIG. 2 is a diagram showing functional blocks of a production management system in the present disclosure. [Diagram 2] 1A and 1B are diagrams illustrating the imaging direction of an imaging device relative to a workbench and an arrangement area thereon. [Diagram 3] 13 is a diagram showing a processing flow of video analysis by an extraction unit and an acquisition unit of a control unit. FIG. [Figure 4] FIG. 11 is a diagram showing a process flow by a determination unit of a control unit. [Diagram 5] This is a diagram showing an example in which work tables are arranged so as to be connected to multiple conveyor belts, and the created products are placed on the conveyor belts for delivery. [Figure 6] FIG. 1 is a diagram illustrating an example of a configuration of a production management system according to an embodiment of the present disclosure. [Figure 7] 1 is a block diagram showing an example of a hardware configuration of a production management system. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Each embodiment will be described below with reference to the drawings. In all drawings, the same or corresponding components are given the same reference numerals, and common descriptions will be omitted. FIG. 1 is a diagram showing functional blocks of a production management system in the present disclosure. The production management system (1) includes a control unit (2) and a recording unit (3). The control unit (2) includes an extraction unit (21), an acquisition unit (22), and a judgment unit (23) as functions for performing production management. In addition, the recording unit (3) records an analysis log (31) and management parameters (32) as information required for performing production management and information obtained by processing.

[0013] The extraction unit (21) of the control unit (2) extracts a placement area (5) for placing a product that will be the worker's final product from a video of the work site where the worker is working manually. The acquisition unit (22) detects whether there is an image of a human hand in the video of the placement area (5), and records the time when the human hand shape is detected and the time when the human hand shape cannot be detected after the detection as an analysis log. The determination unit (23) adds the actual volume of the product if the time lapse from the time when the human hand shape is detected to the time when the human hand shape cannot be detected after the detection of the human hand is greater than a predetermined value. The determination unit (23) also compares the takt time, which is the expected production time per product, with the cycle time, which is the production time for one product actually produced by the worker, and performs a work process analysis such as whether or not there is a delay in the work by the worker.

[0014] The analysis log (31) of the recording unit (3) holds data obtained as a result of processing in the control unit (2). The management parameters (32) record data for processing in the extraction unit (21), parameters for data collection by the acquisition unit (22), and parameters for work analysis by the determination unit (23).

[0015] The production management system (1) also includes an imaging device (4) that captures images of the work site where workers are manually working. The production management system (1) and the imaging device (4) are connected via a network (6) such as a LAN (Local Area Network).

[0016] The photographing device (4) photographs the manual work status of the worker to be managed and analyzed, and the product obtained by the work. In this disclosure, a part A and a packing box B are placed on the worker's workbench, and the worker manually packs the part A in the packing box B to produce a product C. The explanation is based on the assumption that the work site is aimed at producing 30 products in one working hour. In FIG. 1, the reference numeral 51 denotes the workbench on which the product C is produced, and when the product C, which is the product of the worker's production activity, is completed on the workbench, it is placed in a specified area on the desk. Here, the specified area on the workbench where the product is placed is referred to as the placement area (5).

[0017] FIG. 2 is a diagram for explaining the shooting direction of the camera (4) with respect to the workbench and the placement area (5) thereon. In FIG. 2, assume that a worker performs packing work at one end of the workbench (51) and performs packing work such that a product to be a deliverable is placed in the placement area (5) at the other end. In this case, the shooting direction A is easier to distinguish visually the work of placing a deliverable in the placement area (5) than the shooting direction B. This is because, compared to the shooting direction B, the shooting direction A makes it easier to determine from the image whether the worker has put his / her hand in the deliverable area while working, and further makes it easier to shoot the workbench (51) and the worker. Therefore, the angle of view of the camera (4) is set to, for example, a range in which both the workbench (51) including the placement area (5) and the worker can be photographed. This makes it possible to monitor the work of a normal worker using the camera (4).

[0018] Next, the operation of the production management system (1) will be described. Here, the image capturing device (4) captures images of the work site with an angle of view that covers the workbench (51) and the worker, and transmits the images in real time to the production management system (1) via the network (6). The production management system (1) that receives the images performs image analysis on the received images and performs production management based on the analysis results. The following describes the mechanisms of image analysis and production management by the production management system (1).

[0019] 3 is a diagram showing a process flow of video analysis by the extraction unit (21) and acquisition unit (22) of the control unit (2). As a setting before starting the video analysis, a placement area (5) in the video is set (S11). For example, when a video with a resolution of 1920×1080 pixels of FHD (Full High Definition) is input from a fixedly installed imaging device (4), the placement area (5) is set at any coordinates “(x1, y1)-(x2, y2)” within the coordinates (x, y)=(0, 0) to (1920, 1080), and it is possible to detect the shape of the hand within that area. This set area is recorded as a part of the management parameters (32) of the recording unit (3).

[0020] The production management system (1) receives video captured from the imaging device (4) with an angle of view that includes the workbench (51) and the worker (S12). Here, the video is made up of a series of multiple images. The video processing by the extraction unit (21) actually involves processing of the images that make up the video, but is referred to as video processing here.

[0021] The extraction unit (21) extracts only the set area included in the management parameters (32) from the received image. The acquisition unit (22) then performs a detection process to determine whether the extracted image contains a human hand shape (S13). In this way, the image capture device (4) can be used in combination with a conventional surveillance camera application in which the workbench (51) and the entire worker are captured and stored. The acquisition unit (22) also outputs the time at which the human hand shape is detected as an analysis log (31) (S13, S14). Here, the time output by the acquisition unit (22) is the time from the time Tn(in) at which the hand shape is detected to the time Tn(out) at which the hand shape is no longer detected after the hand shape is detected. In other words, the time at which the worker starts placing the completed product in the placement area (5) and the time at which the worker finishes placing the product are recorded. Here, the subscript n of Tn(in) and Tn(out) is a positive integer indicating the number of the time at which the hand shape is detected and the time at which the hand shape is no longer detected from the start of processing in the production management system (1). The detection of the shape of a person's hand is performed by using image matching or the results of learning the shape of a person's hand by AI. The extraction unit (21) determines whether to continue detecting the shape of the hand (S15), and if continuation is necessary (S15: Yes), the process proceeds to S12. The extraction unit (21) determines whether continuation is necessary, for example, based on whether the number of products produced has reached the expected volume, as described below.

[0022] Next, the mechanism of production management will be described. Fig. 4 is a diagram showing a process flow by the determination unit (23) of the control unit (2). The determination unit (23) checks Tn(in) and Tn(out) included in the analysis log (31) of the recording unit (3) from time to time (S21).

[0023] When the determination unit (23) confirms the new Tn(in) and Tn(out), it calculates the elapsed time Tn=Tn(out)-Tn(in) from the time Tn(in) when the hand was detected to the time Tn(out) when the hand was no longer detected. Furthermore, the determination unit (23) compares the elapsed time Tn with a predetermined value Tdelta [sec], which is a production management parameter that can be set by the user of the production management system (1) (S22).

[0024] If the elapsed time Tn>Tdelta, the determination unit (23) determines that the worker has completed the production of the product C and placed the product C in the placement area (5), and measures the amount of work by incrementing the amount of work by that worker to N=+1, and outputs it to the analysis log (31) (S23). The amount of work N is initialized (N=0) when the production management system (1) starts processing. The purpose of setting the predetermined value Tdelta in this way is to eliminate erroneous detection due to the worker's hand momentarily entering the placement area (5). By the processes of S22 and S23 in FIG. 4, the acquisition unit (22) automatically detects the hand by video analysis every time the worker creates the product C and places the product C in the placement area (5). Furthermore, the determination unit (23) processes the time data recorded every moment in the analysis log (31) and adds the amount of work by that worker to the analysis log (31). In addition, when the determination unit 23 determines that the elapsed time Tn is not greater than Tdelta, that is, that the determination unit 23 has determined that the elapsed time Tn is erroneously detected, it is preferable that the determination unit 23 deletes Tn(in) and Tn(out) or makes it possible to identify them as erroneous detection data. More preferably, when the elapsed time Tn is greater than Tdelta, the determination unit 23 uses the output value N and separately stores the value of the subscript n of Tn(in) and Tn(out) as the value of the output N. This is because it is possible to easily obtain a cycle time (CT), which is the time it takes for a worker to create one product, as described below. In the following processing of S25 and S26, the determination unit 23 will be described as performing processing using the separately stored Tn(in) and Tn(out) when the elapsed time Tn is greater than Tdelta.

[0025] The determination unit (23) determines whether the output volume N is greater than 1 (N>1) (S24). If the output volume N is not greater than 1 (S24: No), the determination unit (23) returns the process to S21. On the other hand, if the output volume N is greater than 1 (S24: Yes), the determination unit (23) determines the time when the worker completes production of the (N-1)th product as the start of production of the (N)th product, and calculates the cycle time (CT) from the start of production of the (N)th product to the completion of production of the (N)th product. In addition, the determination unit (23) saves the calculated cycle time (CT) in the analysis log (31) (S25).

[0026] It is assumed that the production time H and expected output M are set as the management parameters (32) that can be set by the user in the production management system (1). The production management system (1) provides a mechanism for more advanced production management by using the production time H and expected output M in addition to the analysis log (31). In this example, the production time H = 1 [h] and the expected output M = 30 [pieces]. In this case, the worker is expected to create 30 pieces of product C in one hour, so the worker is expected to work for 2 minutes per piece (= 60 minutes / 30 pieces). This time will be referred to as takt time (TT) below. In the following example, it is assumed that the worker's work will end when the expected output M is reached.

[0027] In the above case, except for erroneous judgment, it is expected that the time when the hand is detected will be repeated from T1, T2, ... Tn (n: 1 to 30). Therefore, the judgment unit (23) calculates the cycle time CTn = Tn (in) - Tn-1 (out) (where the subscript n > 1) for the nth product using Tn (in), which is the time when the hand is detected in the arrangement area (5) when the nth product is completed, and Tn-1 (out), which is the time when the hand is no longer detected after being detected in the arrangement area (5) when the (n-1)th product is completed, to obtain the cycle time (CT), which is the time when each of the second and subsequent products C is created, and stores this in the analysis log (31) (S25).

[0028] The determination unit (23) stores the comparison result of takt time (TT)-cycle time CTn (subscript n>1) in the analysis log (31) together with "n" which is the actual output number of the product. Here, the determination unit (23) also determines whether TT-CTn<0 (S26). If TT-CTn<0 (S26: Yes), the determination unit (23) determines that the actual production time is delayed from the planned time (S27) and records that fact. In this way, by recording the information that the actual production time is delayed from the planned time, it can be determined that there is some problem in the process of the production work of the nth product c by the worker. Furthermore, in the surveillance video, the work image from time Tn-1(out) to time Tn(in), which is the production work time of the nth product c, can be easily identified, and the work analysis of the worker can be easily performed using the image of the workbench (51) and the worker captured by the imaging device (4).

[0029] On the other hand, if TT-CTn<0 is not true (S26: No), the judgment unit (23) judges whether the output N of the work reaches the expected output M (S28). If the output N does not reach the expected output M (S28: No), the worker's work continues, so the judgment unit (23) moves the process to S21. On the other hand, if the output N reaches the expected output M (S28: Yes), the worker's work is completed, so the production management system (1) ends the production management process.

[0030] In S26, the determination unit (23) compares the time to produce each product as the cycle time with the takt time. This is not limiting, and the determination unit (23) may compare the cycle time with the takt time as the average value of the cycle time for a predetermined number of products. The production time for each product may vary, but by taking the average, it is possible to evaluate the work with reduced variation. By matching the predetermined number when taking the average with the expected output M during the production time H, it is also possible to check whether there is a delay in the overall production time H. In addition, in the process shown in S26, a moving average may be used for the cycle time CTn. In this case, it is also possible to evaluate the work with reduced variation.

[0031] In addition, the judgment unit (23) may determine whether or not there is a work delay by comparing the expected output of the product per unit time with the actual output, which is the actual output by the worker per the same unit time, as an indicator for judging the work delay.

[0032] The excess over planned production time is dealt with by working overtime, etc., which increases production costs at the production site, resulting in a net loss. By using the production management system (1) disclosed herein, it is possible to provide a production management mechanism that uses the imaging device (4) as a sensor and automatically measures and visualizes output and delays in production progress in a simple manner. This enables early correction and countermeasures for a wide range of manual work sites, and can be used to improve productivity at production sites.

[0033] As an application example of the present disclosure, an example of production management in which each of a plurality of workers places their product on a conveyer belt after work will be described below. FIG. 5 is a diagram showing an example in which work tables are arranged so as to be connected to a plurality of conveyer belts, and the finished product is placed on the conveyer belt for delivery. When a worker places a product on the conveyer belt after work in a work area, the timing at which the hand is on the conveyer belt can be detected, making it possible to perform output management and progress management for a plurality of workers in a similar manner. In this case, the above-mentioned process is performed for each worker, i.e., for each installed imaging device (4).

[0034] As described above, the production management system disclosed herein can use the existing imaging device (4) for monitoring the work status, so there is no need to select or install IoT sensors according to the work environment. In addition, by analyzing the video of the worker performing a specific operation and generating the data of the human work in real time, it becomes possible to grasp the simple output and the production progress. In addition, by successively comparing the cycle time with the takt time of the day, it becomes possible to grasp the work progress in real time. In addition, it becomes easier to obtain information for guidance and correction for delayed workers.

[0035] In addition, by utilizing the production management system disclosed herein, the cycle time of each worker can be obtained as a quantitative performance record, and the ability of the worker can be understood. Since the work time of workers with short and long cycle times is recorded as data, it can be used for worker training by comparing specific parts of the video instead of casually reviewing the collected videos.

[0036] Normally, if takt time > cycle time, the priority of work improvement is low and no improvement work is done. However, because the introduction cost is low, by checking the actual cycle time values ​​for a wide range of processes, it is possible to identify and address potential room for improvement.

[0037] Using video analysis, it becomes possible to universally grasp the output and progress of manual work at the production site. By checking the automatically output progress information, production managers can efficiently and constantly grasp the progress of multiple workers. This makes it possible to take necessary corrective measures for workers who are not making progress well. As a result, it is possible to reduce the pure loss caused by overtime work not being completed within the designated time, i.e., the extra time and cost incurred in production, and to improve productivity.

[0038] By providing a system that uses a camera to capture images of workers' work and uses video analysis to turn the camera into a sensor for measuring human work, automatically managing output and visualizing progress, it can be used universally in a variety of production sites / methods, and also makes it possible to make effective use of existing camera equipment and lead to improved productivity.

[0039] FIG. 6 is a diagram showing an example of the configuration of a production management system (1) according to an embodiment of the present disclosure. The production management system (1) includes an extraction unit (21) (extraction means), an acquisition unit (22) (acquisition means), and a determination unit (23) (determination means). The extraction unit (21) extracts a predetermined area for placing a product that will be a deliverable by a worker from an image of a work site. The acquisition unit (22) detects whether an image of a human hand is present in the image of the predetermined area, and records the time when the human hand shape is detected and the time when the human hand shape cannot be detected after the detection as an analysis log. The determination unit (23) adds the actual volume of the product when the time elapsed from the time when the human hand shape is detected to the time when the human hand shape cannot be detected after the detection of the human hand is greater than a predetermined value.

[0040] FIG. 7 is a block diagram showing an example of a hardware configuration of the production management system (1). Here, the production management system (1) is composed of a CPU (61), a RAM (Random Access Memory) (62), a non-volatile memory (63) such as a ROM (Read Only Memory), a recording device (64), and the like. The non-volatile memory (63) and the recording device (64) record a program that realizes the functions of the control unit (2) of the production management system (1). The RAM (62) is used as a working area or the like for temporarily storing data and the like used by the CPU (61) and the like during operation. The production management system (1) may also include an input / output port (65) for connecting input / output devices such as a keyboard, a mouse, and a display device. These devices are connected by a bus or the like. The non-volatile memory (63) is composed of an EEPROM (Electrically Erasable Programmable Read-Only Memory) or the like, and the recording device (64) is composed of a hard disk, an SSD, or the like, and the computer program that realizes the functions of the production management system (1) may be updated by these devices.

[0041] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be appropriately combined with other embodiments.

[0042] A part or all of the above-described embodiments may be described as, but is not limited to, the following supplementary notes.

[0043] (Appendix 1) An extraction means for extracting a predetermined area for placing a product that will be a deliverable by a worker from an image of a work site; a determination means for detecting whether an image of a human hand is present in the image of the predetermined area, and recording the time when the human hand is detected and the time when the human hand cannot be detected after the detection as an analysis log; a management means for adding an actual volume of goods when the time lapse from the time when the shape of the person's hand is detected to the time when the shape of the person's hand can no longer be detected after the detection of the person's hand is greater than a predetermined value; A production management system equipped with:

[0044] (Appendix 2) the management means records the elapsed time from when the shape of the person's hand becomes unable to be detected to when the shape of the person's hand is next detected as a cycle time, which is the time required to produce the product. 2. The production management system according to claim 1.

[0045] (Appendix 3) The management means compares a takt time, which is an expected production time per unit of the product, with the cycle time, and if the cycle time is longer than the takt time, determines that there is a delay in the work. 3. The production management system according to claim 1 or 2.

[0046] (Appendix 4) the management means sets the cycle time to an average or moving average of the cycle times for a predetermined number of the products; 4. A production management system as described in appendix 3.

[0047] (Appendix 5) the management means determines whether or not there is a delay in the work by comparing an expected output of the product per unit time with the actual output per unit time. 5. The production management system according to any one of appendix 1 to 4.

[0048] (Appendix 6) The extraction means extracts an area specified by a coordinate position in the image as the predetermined area. 6. The production management system according to any one of appendix 1 to 5.

[0049] (Appendix 7) a photographing device for photographing a work site including the predetermined area, The extraction means extracts the predetermined area from the image from the imaging device. 7. The production management system according to any one of claims 1 to 6.

[0050] (Appendix 8) the imaging device is provided for each of a plurality of work sites in order to image the work sites including the predetermined area; the extraction means, the determination means, and the management means each perform processing on the images obtained by each of the imaging devices. 8. The production management system according to claim 7.

[0051] (Appendix 11) A predetermined area is extracted from the video of the work site in which the worker places the product that will be the worker's final product; Detecting whether an image of a human hand is present in the image of the predetermined area, and recording the time when the human hand is detected and the time when the human hand cannot be detected after the detection as an analysis log; If the time lapse from the time when the shape of the person's hand is detected to the time when the shape of the person's hand can no longer be detected after the detection of the person's hand is greater than a predetermined value, an actual volume of the product is increased. A production management method in which a computer executes the above steps.

[0052] (Appendix 12) The time elapsed from the time when the shape of the person's hand can no longer be detected to the time when the shape of the person's hand is next detected is recorded as a cycle time, which is the time it takes to create the product. 12. The production management method according to claim 11.

[0053] (Appendix 13) A takt time, which is an expected production time per unit of the product, is compared with the cycle time, and if the cycle time is longer than the takt time, it is determined that there is a delay in the work. 13. The production management method according to claim 11 or 12.

[0054] (Appendix 14) The cycle time is an average or moving average of the cycle time for a predetermined number of the products. 14. The production management method according to claim 13.

[0055] (Appendix 15) determining whether or not there is a delay in the work by comparing the expected output of the product per unit time with the actual output per unit time; 15. A production management method according to any one of appendix 11 to 14.

[0056] (Appendix 16) extracting an area designated by a coordinate position in the image as the predetermined area; 16. A production management method according to any one of appendix 11 to 15.

[0057] (Appendix 17) Extracting the predetermined area from an image taken by the imaging device that captures an image of a work site including the predetermined area. 17. The production management method according to any one of appendix 11 to 16.

[0058] (Appendix 18) performing processing on each of the images from the image capturing devices provided for each of the work sites in order to capture images of the plurality of work sites including the predetermined area; 18. A production management method as described in appendix 17.

[0059] (Appendix 21) A predetermined area is extracted from the video of the work site in which the worker places the product that will be the worker's final product; Detecting whether an image of a human hand is present in the image of the predetermined area, and recording the time when the human hand is detected and the time when the human hand cannot be detected after the detection as an analysis log; If the time lapse from the time when the shape of the person's hand is detected to the time when the shape of the person's hand can no longer be detected after the detection of the person's hand is greater than a predetermined value, an actual volume of the product is increased. A production management program that causes a computer to carry out the following tasks:

[0060] (Appendix 22) The time elapsed from the time when the shape of the person's hand can no longer be detected to the time when the shape of the person's hand is next detected is recorded as a cycle time, which is the time it takes to create the product. 22. The program according to claim 21.

[0061] (Appendix 23) A takt time, which is an expected production time per unit of the product, is compared with the cycle time, and if the cycle time is longer than the takt time, it is determined that there is a delay in the work. 23. The program according to claim 21 or 22.

[0062] (Appendix 24) The cycle time is an average or moving average of the cycle time for a predetermined number of the products. 24. The program according to claim 23.

[0063] (Appendix 25) determining whether or not there is a delay in the work by comparing the expected output of the product per unit time with the actual output per unit time; 25. The program according to any one of appendix 21 to 24.

[0064] (Appendix 26) extracting an area designated by a coordinate position in the image as the predetermined area; 26. The program according to any one of appendix 21 to 25.

[0065] (Appendix 27) Extracting the predetermined area from an image taken by the imaging device that captures an image of a work site including the predetermined area. 27. The program according to any one of appendix 21 to 26.

[0066] (Appendix 28) performing processing on each of the images from the image capturing devices provided for each of the work sites in order to capture images of the plurality of work sites including the predetermined area; 28. The program according to claim 27. [Explanation of symbols]

[0067] 1 Production management system 2. Control section 3. Recording section 4. Imaging Device 5 Placement area 6 Network 21 Extraction part 22 Acquisition Department 23 Judgment section 31 Analysis Log 32 Control parameters 51 Workbench

Claims

1. An extraction means for extracting a predetermined area for placing a product obtained by a worker from an image of a work site; a determination means for detecting whether an image of a human hand is present in the image of the predetermined area, and recording the time when the human hand is detected and the time when the human hand cannot be detected after the detection as an analysis log; a management means for adding an actual production amount of a deliverable when a time lapse from a time when the shape of the person's hand is detected to a time when the shape of the person's hand can no longer be detected after the detection of the person's hand is greater than a predetermined value; A production management system equipped with:

2. the management means records the elapsed time from the time when the shape of the person's hand can no longer be detected to the time when the shape of the person's hand is next detected as a cycle time, which is the time for creating the deliverable. The production management system according to claim 1.

3. The management means compares a takt time, which is an expected production time per one of the deliverables, with the cycle time, and if the cycle time is longer than the takt time, determines that there is a delay in the work. The production management system according to claim 2.

4. the management means sets the cycle time to an average or moving average of cycle times for a predetermined number of the deliverables; The production management system according to claim 3.

5. the management means determines whether or not there is a delay in the work by comparing the expected output of the deliverables per unit time with the actual output per unit time. The production management system according to claim 1.

6. The extraction means extracts an area specified by a coordinate position in the image as the predetermined area. The production management system according to claim 1.

7. a photographing device for photographing a work site including the predetermined area, The extraction means extracts the predetermined area from the image from the imaging device. The production management system according to any one of claims 1 to 6.

8. the imaging device is provided for each of a plurality of work sites in order to image the work sites including the predetermined area; the extraction means, the determination means, and the management means each perform processing on the images obtained by each of the imaging devices. The production management system according to claim 7.

9. Extracting a predetermined area from the video of the work site for placing the deliverables obtained by the worker; Detecting whether an image of a human hand is present in the image of the predetermined area, and recording the time when the human hand is detected and the time when the human hand cannot be detected after the detection as an analysis log; If the time lapse from the time when the shape of the person's hand is detected to the time when the shape of the person's hand can no longer be detected after the detection of the person's hand is greater than a predetermined value, an actual production amount of the deliverable is increased. A production management method in which a computer executes the above steps.

10. Extracting a predetermined area from the video of the work site for placing the deliverables obtained by the worker; Detecting whether an image of a human hand is present in the image of the predetermined area, and recording the time when the human hand is detected and the time when the human hand cannot be detected after the detection as an analysis log; If the time lapse from the time when the shape of the person's hand is detected to the time when the shape of the person's hand can no longer be detected after the detection of the person's hand is greater than a predetermined value, an actual production amount of the deliverable is increased. A production management program that causes a computer to carry out the following tasks:

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