TWI777700B - Production management method - Google Patents

Abstract

A production management method, comprising the steps of: scheduling an electronic work order according to a production schedule, the electronic work order including a work order number and a predetermined scheduling time; outputting the electronic work order as a paper work order, and the paper The work order has a QR code of the work order number and a QR code of the item number; the camera continuously obtains images of the work area; the operator shows the QR code of the personnel identification number and the paper work order in the imaging range of the camera middle; identify the image of the work area, obtain the personnel identification number and work order number, and establish the corresponding relationship between the personnel identification number and the work order number; recognize the posture of the operator, and record a start time when it matches a start posture When an end posture is met, an end time is recorded, and a work hour is counted; the predetermined work hour for setting the predetermined schedule time is adjusted according to the work time.

Description

Production management method

The present invention is related to production management; in particular, it refers to a production management method using image recognition technology.

With the advancement of science and technology, most of the current industrial production models have entered the era of fully automated production. However, for traditional industries, although automated equipment can be introduced to replace manpower, there are still some production lines that rely on manpower to operate and cannot be replaced by automated equipment.

In the conventional production method of objects, for objects that need to be produced by manpower, a paper work order is first generated according to the order. The paper work order records the information of the process site required to produce the object, and then transfers it to the process site. in the hands of the operator. The operator of the process station performs the required process of the object. After the process of the process station is completed, the operator fills in the process time (such as start time, completion time) on the paper work order.

However, not all production line sites can rely on paper work orders to fill in the process time. For example, in the sand foundry site, which is full of sand dust, noise, and high heat, the operators cannot fill in the work orders in this place, but The work order cannot be filled until the overall job has come to an end, so the start time to the end time can only be filled approximately. In addition, for the production manager, they can only rely on the information on the paper work order to judge whether the production time of the object is reasonable, and it is difficult to improve the efficiency of the operator to produce the object.

In view of this, the purpose of the present invention is to provide a production management method, which can accurately know the man-hours spent in the operation and improve the efficiency of producing objects

In order to achieve the above object, a production management method provided by the present invention is applied to a production system, and the production system includes at least one camera and a server; the production management method includes the following steps:

A. The server generates an electronic work order for manufacturing at least one object according to a production schedule. The electronic work order includes a work order number and a predetermined schedule time, wherein the predetermined schedule time is based on a predetermined work time set up;

B. Output the electronic work order as a paper work order, and the paper work order has a work order number QR code and an item material number QR code, and the work order number QR code corresponds to the work order No., the QR code of the item number corresponds to the item number;

C. Continuously obtain images of a work area with the at least one camera; an operator presents a QR code of the personnel identification number and the paper work order in the imaging range of the at least one camera in the work area, wherein, The personnel identification number QR code corresponds to a personnel identification number;

D. The server recognizes the image of the work area, and obtains the personnel identification number corresponding to the QR code of the personnel identification number and the work order number corresponding to the QR code of the work order number; the server establishes the personnel identification number The corresponding relationship with the work order number;

E. The server recognizes the operator's posture, and when the operator's posture conforms to a starting posture, the server records a start time, and the operator performs at least one process;

F. The server recognizes the operator's posture, and when the operator's posture conforms to an end posture, the server records an end time, and counts a man-hour from the start time to the end time; and

G. The server adjusts the scheduled working hours according to the working hours.

The effect of the present invention is that the server judges the working state of the operator in the work area by the image, and judges the start time of the start posture to the end time of the end posture, so that the man-hours spent in the operation can be accurately known, and Adjust the schedule for producing the same object according to the obtained man-hours, thereby improving the efficiency of producing the object.

In order to describe the present invention more clearly, preferred embodiments are given and described in detail with the drawings as follows. Please refer to FIG. 1 , which is a production system to which the production management method of the first preferred embodiment of the present invention is applied. The production system includes a plurality of cameras 10 and a server 12 .

In this embodiment, the camera 10 can be an IP camera connected to the network 16 through a wireless router 14 (Access Point), or the camera 10 can also be directly connected to the network 16 in a wired manner. The camera 10 is disposed around a work area 18 shown in FIG. 2 to obtain an image of the work area 18 . In this embodiment, a process equipment 20 is provided in the work area 18 for performing a specific process. In addition, in this embodiment, one of the cameras 10 is used to capture the image of the process equipment 20 . In one embodiment, there may also be at least one camera 10 for acquiring images of the work area 18 including the process equipment 20 and transmitting the images to the server 12 .

The server 12 is connected to the network 16 to receive the images obtained by the camera 10 . The server 12 includes an image recognition module 122 , a processing module 124 , a database 126 and a scheduling module 128 . The image recognition module 122 is used to recognize the image from the camera 10 , the processing module 124 is used to record and calculate the information, and the database 126 is used to store the data. The scheduling module 128 is used for producing a production schedule of the objects according to the status of the order, and the production of different objects can be scheduled in the production schedule. The scheduling module 128 generates an electronic work order for manufacturing at least one object according to the production schedule, and can store the electronic work order in the database 126 .

In this embodiment, the production system may further include a signal conversion device 22, the signal conversion device 22 is connected to the server 12 via the network 16, and the signal conversion device 22 is connected to a display 24 by wire or wireless, and the signal conversion device 22 is wired or wireless. Wirelessly connected to a warning device 26 .

The display 24 is arranged in the working area 18 (eg, arranged on the process equipment 20 ) where the operator can view it, and the warning device 26 is arranged in the working area 18 (eg, arranged on the processing equipment 20 ). In this embodiment, the warning device 26 takes the warning light as an example to give a bright warning, but not limited thereto, the warning device 26 may also include a speaker or a buzzer to give a sound warning. The processing module 124 of the server 12 can transmit the information to the signal conversion device 22 through the network 16 , and the signal conversion device 22 transmits the information to the display 24 or the warning device 26 . When the message received by the signal conversion device 22 is a displayable message, it is displayed on the display 24 correspondingly. When the information received by the signal converting device 22 is a control signal, the control signal is transmitted to the warning device 26 to control the warning device 26 correspondingly.

The production management method of the present embodiment is described below in conjunction with FIG. 3, and the production management includes the following steps:

Step S11: The server 12 generates an electronic work order for manufacturing at least one object according to the production schedule, and the content of the electronic work order at least includes a work order number and a predetermined scheduling time, wherein the predetermined scheduling time is based on A predetermined working hour setting. In this embodiment, an electronic work order is generated by the scheduling module 128 and stored in the database 126 , and the content of the electronic work order further includes information such as an item number, the manufacturing process of the item, and the quantity of the item.

Step S12: Output the electronic work order as a paper work order, and the paper work order has a work order number two-dimensional code, and the work order two-dimensional code corresponds to the work order number of the electronic work order. In this embodiment, the server 12 outputs the electronic work order as a paper work order through a printer (not shown). The paper work order can also have the QR code of the item number, as well as the information in the electronic work order, such as the item item number, the process of the item, the quantity of the item, etc. The QR code of the item item number corresponds to the item number of the item . Then, the manager will pass the paper work order to the operator.

Step S13 : The camera 10 continues to acquire images of the work area 18 . The cameras 10 continuously transmit images of the workspace 18 to the server 12 . The operator presents a two-dimensional code of the personnel identification number and the paper work order in the imaging range of the camera 10 in the work area, wherein the two-dimensional code of the personnel identification number corresponds to a personnel identification number. In this embodiment, the personnel identification number may be, for example, the employee number of the operator, and the two-dimensional code of the personnel identification number may be set on the operator's identification card or on the operator's work clothes.

The server 12 divides the work area 18 into a plurality of areas, taking the first to third areas 182, 184, 186 as examples, wherein the first area 182 is closest to the process equipment, the second area 184 is next, and the third area 186 is the same The process tool 20 is located in the first area 182 further away from the process tool 20 than the second area 184 . In this embodiment, the division of the work area 18 may be performed by the image recognition module 122 , but it is not limited thereto, and may also be performed by the processing module 124 .

In this embodiment, the operator can make a plurality of gestures in the third area 186 in advance, and the image recognition module 122 of the server 12 can recognize the gestures made by the operator in the third area 186 and store them in the database respectively. A plurality of predetermined gestures are formed in 126 . In this embodiment, the posture of the operator is taken as an example to illustrate the posture of the body and limbs, but it is not limited to this. The posture can also be a hand posture, for example, the operator uses his fingers to compare a specific number.

As shown in FIG. 4 , the predetermined postures include at least a start posture 30 and an end posture 32 . In addition, the predetermined posture may further include an interrupted posture 34 and at least one abnormal posture 36 and the like. In this embodiment, the image recognition algorithm is used to identify the predetermined posture. For example, the OpenPose algorithm can be used to identify the predetermined posture. The OpenPose algorithm can identify multiple human bodies in the image and detect each human body in the image. The key points (such as joints), and the coordinates of each key point, as shown in FIG. 5, the human body image 42 can be converted into 25 key points, and the positions of the limbs can be obtained to form a human body model 44. 44 to recognize the predetermined gesture. The aforementioned key points are 25 as an example, but not limited thereto. The image recognition algorithm can also use algorithms such as mediaPipe and openVINO.

Step S14: The server 12 recognizes the image of the work area 18, and obtains the personnel identification number corresponding to the two-dimensional code of the personnel identification number and the work order number corresponding to the two-dimensional code of the work order number. The server 12 establishes a corresponding relationship between the personnel identification number and the work order number. In this embodiment, the item number corresponding to the QR code of the item item number is obtained.

Then, the server 12 displays a prompt screen (refer to FIG. 6 ) through the display 24 , requesting the operator to start reporting for work, that is, reporting the status of the work. At the same time, the image of the worker is displayed on the display 24 .

Step S15 : the server 12 recognizes the posture of the operator, and when the posture of the operator conforms to the starting posture 30 , the server 12 records a start time, and the operator performs at least one process. In this embodiment, the image recognition module 122 uses an image recognition algorithm such as the OpenPose algorithm to perform gesture recognition, but is not limited thereto, and the image recognition algorithm can also use algorithms such as mediaPipe and openVINO. The image recognition module 122 compares the recognized gestures with the predetermined gestures in the database 126 to identify whether the operator makes a starting gesture in the second area 184 of the work area 18 , and if so, on the display 24 The option number corresponding to the identified starting posture 30 is displayed (“1” as shown in FIG. 6 ), and the processing module 124 records the starting time in the database 126 . If the identified operator does not make the starting posture 30 , The start time is not recorded. If the operator makes the starting posture 30 in the first area 182 or the third area 186 of the work area 18, the processing module 124 does not record the starting time to avoid interference, and the first area 182 does not make a judgment to prevent the operator from getting too close The process equipment 20 poses and an accident occurs. In addition, in other embodiments, the server 12 may record the start time only when the operator's posture conforms to the starting posture 30 and maintains a first predetermined time (eg, 2 to 3 seconds), so as to exclude the operator Possibility of inadvertently making starting pose 30 .

Next, the worker performs one process or a plurality of processes. Taking a plurality of processes as an example, a process start posture 38 and a process end posture 40 corresponding to each process may be stored in the database 126 in advance (see FIG. 7 ). When the image recognition module 122 of the server 12 recognizes that the operator's posture conforms to the process start posture 38 of each process, the processing module 124 of the server 12 records a process start time in the database 126; the image of the server 12 When the recognition module 122 recognizes that the operator's posture conforms to the process end posture 40 of each process, the processing module 124 of the server 12 records a process end time in the database 126 . The processing module 124 can count the process man-hours from the start time of each process to the end time of each process, that is, the time spent by each process.

In addition, when the processing module 124 of the server 12 reaches a predetermined time from the start time of any process and the server 12 still does not recognize that the operator's posture conforms to the process end posture 40 of the corresponding process, the server 12 Send a warning message. The warning message can be sent to the signal conversion device 22 through the network 16 , and the signal conversion device 22 can send the warning message to the display 24 to display the warning on the display 24 . In addition, the (control signal) corresponding to the warning message can also be transmitted to the warning device 26, so that the warning device 26 emits a warning light, and the corresponding warning device 26 that can emit a sound can also emit a warning sound. In this way, the operator is reminded that a process has exceeded the predetermined time, and the status should be reported. The operator can also make the interrupt gesture 34 in the work area 18. When the server 12 recognizes the interrupt gesture 34, it will immediately send a notification message to the manager, for example, to the manager's mobile device via the network, so that the manager can Workspace 18 is aware of the situation.

When the image recognition module 122 of the server 12 recognizes that the operator's posture conforms to the abnormal posture 36 , the server 12 sends out a warning message, and the warning message is transmitted to the display 24 or the warning device 26 as described above to remind the operator not to make the abnormal posture 36 . , to avoid injury to the operator due to incorrect posture at work, such as bending over to lift heavy objects or incorrect operation posture in the process. In other words, the abnormal posture 36 corresponds to a posture in which the worker is easily injured.

When the image recognition module 122 of the server 12 recognizes that the operator is in contact with a predetermined part of the process equipment 20, and the processing module 124 determines that the contact time reaches a warning time, the server 12 sends a warning message. As mentioned above, the warning message is transmitted to the display 24 or the warning device 26, and can be transmitted to the mobile device of the manager, so that the manager can check the situation in the work area. The aforesaid predetermined position is the position where the mechanism of the process equipment 20 is actuated, so as to prevent the operator's limbs from being pinched or stuck by the process equipment 20 and unable to disengage, and management personnel can assist in handling.

The image recognition module 122 recognizes the action of the operator, and the processing module 124 determines the number of objects, that is, the number of manufactured objects, according to the repetition of the operator's action. For example, when an operator manufactures an object, he moves the material for making the object from a first position to a second position to make the object, and then moves the created object to a third position for placement, and then returns to the first position A material is removed. In this way, the processing module 124 can determine the number of repetitions of the operator's movement at the first position, the second position, and the third position to determine how many objects have been completed in total, and obtain the number of objects.

Step S16: The server 12 recognizes the posture of the operator, and when the posture of the operator conforms to the end posture 32, the server 12 records an end time, and counts a working hour from the start time to the end time. In this embodiment, the image recognition module 122 compares the recognized gestures with the predetermined gestures in the database 126 to recognize whether the operator has made the ending gesture in the second area 184 of the work area 18, and if so, processes The module 124 records the end time in the database 126, and records the man-hours from the start time to the end time in the database 126. If it is recognized that the operator has not made the end gesture 32, the start time is not recorded; When the person makes the end gesture 32 in the first area 182 or the third area 186 of the work area 18 , the processing module 124 does not record the end time. In addition, in other embodiments, the server 12 may record the end time only when the operator's posture conforms to the end posture 32 and maintains a second predetermined time (for example, 2 to 3 seconds) to prevent the operator from inadvertently making the end Possibilities of posture.

Step S17: The server 12 adjusts the predetermined working hours according to the working hours. In this embodiment, the scheduling module 128 adjusts the predetermined man-hour for subsequent manufacturing of the same object according to the man-hour. The scheduling module 128 calculates a single piece man-hour for a single object according to the man-hour and the object quantity in step S15 (ie, the man-hour divided by the object quantity), and sets the single piece man-hour as new of the scheduled working hours.

When the manufacturing process of the same object is subsequently performed and the execution returns to step S11, the scheduling module 128 can set the scheduled schedule time for manufacturing a predetermined number of objects according to the new scheduled man-hour. For example, scheduled The quantity is 100 pieces, and the new default working time is 5 minutes. When setting the scheduled schedule time, the scheduled schedule time is 500 minutes from a starting time point.

It is also possible to perform statistical analysis on the single-piece man-hours obtained by repeatedly executing steps S11 to S17 to obtain the average single-piece man-hours, and set the single-piece man-hours as the new predetermined man-hours.

FIG. 8 is a flow chart of the production management method according to the second preferred embodiment of the present invention, which has substantially the same steps as those of the first embodiment. Displays a plurality of options and an option number corresponding to each option. As shown in Figure 9, these options include a start option 46 (display "start operation", option number 462 is 1), an end option 48 (display "" End Job", option number 482 is 2) and a cancel option 50 ("Cancel" is displayed, option number 502 is 3).

In this embodiment, the server 12 recognizes the posture of the operator's hand, and the initial posture 30 in this embodiment includes the operator's finger to compare the option number corresponding to the initial option 46 . The image recognition module 122 can use an image recognition algorithm such as the OpenPose algorithm to perform gesture recognition, recognize the number of fingers compared by the operator, and obtain the corresponding option number, but not limited to this, the image recognition algorithm Algorithms such as mediaPipe and openVINO can also be used. In FIG. 9 , the operator’s hand and the identified option number “1” are displayed on the display 24 . The server 12 can optionally record the start time at this time, or alternatively, as shown in FIG. 10 , A confirmation option 52 and a corresponding option number 522 , and a cancel option 50 and a corresponding option number 502 are displayed on the display 24 . Then, after the operator's finger compares the option number "0" corresponding to the option 52 to be confirmed, it indicates that the start of the operation is confirmed, and the server 12 records the start time at this time.

During the operation of the operator, the posture of the operator can be identified as in step S15 of the first embodiment to determine whether there is an interrupted posture 34, an abnormal posture 36, a process start posture 38, and a process end posture 40, and perform corresponding process.

As shown in FIG. 11 , an interrupt option 54 and a corresponding option number 542 can also be displayed on the display 24 (“interrupt operation” is displayed, and the option number 542 is 1). The server 12 recognizes the gesture of the operator's hand, and when it matches an interruption gesture, the server sends a warning message, wherein the interruption gesture includes the operator's finger matching the option number 542 corresponding to the option 54 to be interrupted. Then, after the operator's finger matches the option number "1" corresponding to the option 54 that should be interrupted, the server 12 sends out the warning message, and the warning message can be transmitted to the manager's mobile device, so that the manager can go to the work area 18 to understand situation.

In step S26 , as shown in FIG. 12 , the server 12 displays on the display 24 the options including the interrupt option 54 , the end option 48 and the cancel option 50 . The server 12 recognizes the gesture of the operator's hand, and the end gesture 32 in this embodiment includes the operator's finger to compare the option number 482 corresponding to the option 48 to be terminated. The image recognition module 122 recognizes the number of fingers compared by the operator, and obtains the corresponding option number. In FIG. 12 , the display 24 shows the operator's hand and the identified option number "2". The server 12 can selectively The record start time at this time, or alternatively, as shown in FIG. 13 , the display 24 displays the confirmation option 52 and the corresponding option number 522 , and the cancel option 50 and the corresponding option number 502 . Then, after the operator's finger compares the option number "0" corresponding to the option 52 to be confirmed, it means that the operation is confirmed to end, and the server 12 records the start time only at this time.

14 is a flowchart of a production management method according to a third preferred embodiment of the present invention, which has substantially the same steps as those of the second embodiment, except that step S36a is included in the display after step S36a by the server 12 A quantity reward option 56 and a corresponding option number 562 are displayed on 24 (see FIG. 15 ). The server 12 recognizes the gesture of the operator's hand, when the operator's finger matches the option number 562 corresponding to the quantity reporting option 56, the server 12 further recognizes the number of an object compared by the operator's finger, and The number of objects is displayed on the display 24 .

In step S37 , the server 12 calculates a single piece man-hour of a single object according to the man-hour and the object quantity, and sets the single piece of man-hour as the predetermined man-hour. The scheduling module 128 calculates a single piece of work for a single object according to the work-hour and the number of objects (ie, the work-hour divided by the number of objects), and sets the single piece of work as the new predetermined work-hour. This is used as the scheduled man-hours for the subsequent manufacture of the same object. It is also possible to perform statistical analysis on the single-piece man-hours obtained by repeatedly executing each step to obtain the average single-piece man-hours, and set the single-piece man-hours as the new predetermined man-hours.

According to the above, the production management method of the present invention judges the working state of the operator in the work area by the image, and judges the starting time of the starting posture to the ending time of the ending posture, so that the working hours spent in the operation can be accurately known. , adjust the schedule for producing the same object according to the obtained working hours, effectively improving the efficiency of producing objects. There is no need for the operator to fill in the paper work order or input the electronic work order with the start time, end time and working hours. In addition to being suitable for general work places, it is more suitable for work places with severe environment.

The above descriptions are only preferred feasible embodiments of the present invention, and any equivalent changes made by applying the description of the present invention and the scope of the patent application should be included in the patent scope of the present invention.

[this invention] 10: Camera 12: Server 122: Image recognition module 124: Processing Modules 126:Database 128:Scheduling Module 14: Wireless router 16: Internet 18: Workspace 182: The first area 184: Second Region 186: The third area 20: Process equipment 22: Signal conversion device 24: Display 26: Warning device 30: Starting position 32: Ending Pose 34: Interrupt Pose 36: Abnormal Posture 38: Process start posture 40: Posture at the end of the process 42: Human Image 44: Mannequins 46:Start option 462: option number 48: End Options 482: option number 50: Cancel option 502: option number 52: Confirm option 522: option number 54: Interrupt option 542: option number 56: Quantity return option 562: option number S11~S17, S25, S26, S36, S36a, S37: Steps

FIG. 1 is a schematic diagram of a production system according to a first preferred embodiment of the present invention. FIG. 2 is a schematic diagram of the work area of the first preferred embodiment of the present invention. FIG. 3 is a flow chart of the production management method according to the first preferred embodiment of the present invention. 4 is a schematic diagram of a predetermined posture of the first preferred embodiment of the present invention. FIG. 5 is a schematic diagram of converting a human body image into a human body model according to the first preferred embodiment of the present invention. FIG. 6 is a schematic diagram of a display showing a prompt screen according to the first preferred embodiment of the present invention. FIG. 7 is a schematic diagram of a process start posture and a process end posture according to the first preferred embodiment of the present invention. FIG. 8 is a flow chart of a production management method according to a second preferred embodiment of the present invention. 9 to 13 are schematic diagrams showing the display of the second preferred embodiment of the present invention. FIG. 14 is a flow chart of the production management method according to the third preferred embodiment of the present invention. FIG. 15 is a schematic diagram of the display of the third preferred embodiment of the present invention.

S11~S17: Steps

Claims (15)

A production management method is applied to a production system, the production system includes at least one camera and a server; the production management method comprises the following steps: A. The server generates an electronic device for manufacturing at least one object according to a production schedule A work order, the electronic work order includes a work order number and a predetermined scheduling time, wherein the predetermined scheduling time is set according to a predetermined work time; B. The electronic work order is output as a paper work order, and The paper work order has a two-dimensional code of the work order number, and the two-dimensional code of the work order number corresponds to the work order number; C. Use the at least one camera to continuously obtain an image of a work area; an operator identifies a person The QR code and the paper work order are displayed in the imaging range of the at least one camera in the working area, wherein the QR code of the personnel identification number corresponds to a personnel identification number; D. The server identifies the working area , and obtain the personnel identification number corresponding to the QR code of the personnel identification number and the work order number corresponding to the QR code of the work order number; the server establishes the corresponding relationship between the personnel identification number and the work order number; E. The server recognizes the posture of the operator, and when the posture of the operator conforms to a starting posture, the server records a start time, and the operator performs at least one process; F. The server recognizes the posture of the operator, And when the posture of the operator conforms to an end posture, the server records an end time, and counts a working hour from the start time to the end time; and G. The server adjusts the predetermined working hour according to the working hour ; wherein, a process equipment is arranged in the work area; the server divides the work area into a plurality of areas, and these areas respectively include a first area and a second area from near to far depending on the process equipment; step In E, the server identifies the operator and records the start time when the posture of the second area of the work area matches the starting posture, and the server identifies the operator The operator does not record the start time when the first area conforms to the start posture; in step F, the server identifies the operator and records the end time when the posture of the second area of the work area conforms to the end posture, The server recognizes that the operator does not record the end time when the first area conforms to the end posture. The production management method according to claim 1, wherein in step E, when the operator's posture conforms to the starting posture and is maintained for a first predetermined time, the server records the starting time; in step F, the system When the operator's posture conforms to the end posture and is maintained for a second predetermined time, the server records the end time. The production management method of claim 1, wherein the areas further include a third area, the third area is farther from the process equipment than the second area; before step E, the server is included to identify the operator in the The plurality of postures made in the third area are respectively stored as a plurality of predetermined postures, and the predetermined postures include the starting posture and the ending posture; in steps E and F, the server performs the first posture of the work area by the server. The posture of the operator in the second area is compared with the predetermined postures. The production management method according to claim 1, comprising storing a plurality of predetermined postures in the server, and the predetermined postures include the starting posture and the ending posture; in steps E and F, the server will The posture of the worker in the work area is compared with the predetermined postures. The production management method according to claim 4, wherein the predetermined postures further include at least one abnormal posture, and when the server recognizes that the operator's posture conforms to the abnormal posture, the server sends a warning message. A production management method is applied to a production system, the production system includes at least one camera and a server; the production management method comprises the following steps: A. The server generates an electronic work order for manufacturing at least one object according to a production schedule, and the electronic work order includes a work order number and a predetermined scheduling time, wherein the predetermined scheduling time is based on a predetermined work time Setting; B. Output the electronic work order as a paper work order, and the paper work order has a two-dimensional code of the work order number, and the two-dimensional code of the work order number corresponds to the work order number; C. Use the At least one camera continuously obtains images of a work area; an operator presents a two-dimensional code of a personnel identification number and the paper work order in the imaging range of the at least one camera in the work area, wherein the personnel identification number The two-dimensional code corresponds to a personnel identification number; D. The server recognizes the image of the work area, and obtains the personnel identification number corresponding to the personnel identification number two-dimensional code, and the work order number corresponding to the work order number two-dimensional code. ; The server establishes the correspondence between the personnel identification number and the work order number; E. The server recognizes the posture of the operator, and when the posture of the operator conforms to a starting posture, the server records a start time, and The operator performs at least one process; F. The server recognizes the operator's posture, and when the operator's posture conforms to an end posture, the server records an end time, and counts a period from the start time to the end time Working hours; and G. The server adjusts the predetermined working hours according to the working hours; wherein, in step E, the number of the at least one process is plural, and the server recognizes that the posture of the operator conforms to each process of the process. When the start posture is used, a process start time is recorded in the server; when the server recognizes that the operator's posture conforms to a process end posture of each process, a process end time is recorded in the server. The production management method as claimed in claim 6, wherein in step E, when the server reaches a predetermined time from the start time of any process, and the server has not yet identified When the posture of the operator conforms to the process end posture of the corresponding process, the server sends a warning message. A production management method is applied to a production system, the production system includes at least one camera and a server; the production management method comprises the following steps: A. The server generates an electronic device for manufacturing at least one object according to a production schedule A work order, the electronic work order includes a work order number and a predetermined scheduling time, wherein the predetermined scheduling time is set according to a predetermined work time; B. The electronic work order is output as a paper work order, and The paper work order has a two-dimensional code of the work order number, and the two-dimensional code of the work order number corresponds to the work order number; C. Use the at least one camera to continuously obtain an image of a work area; an operator identifies a person The QR code and the paper work order are displayed in the imaging range of the at least one camera in the working area, wherein the QR code of the personnel identification number corresponds to a personnel identification number; D. The server identifies the working area , and obtain the personnel identification number corresponding to the QR code of the personnel identification number and the work order number corresponding to the QR code of the work order number; the server establishes the corresponding relationship between the personnel identification number and the work order number; E. The server recognizes the posture of the operator, and when the posture of the operator conforms to a starting posture, the server records a start time, and the operator performs at least one process; F. The server recognizes the posture of the operator, And when the posture of the operator conforms to an end posture, the server records an end time, and counts a working hour from the start time to the end time; and G. The server adjusts the predetermined working hour according to the working hour wherein, the working area is provided with a process equipment; wherein in step E, when the server recognizes that the contact time between the operator and a predetermined part of the process equipment reaches a warning time, the server sends a warning message. A production management method is applied to a production system, the production system includes at least one camera and a server; the production management method comprises the following steps: A. The server generates an electronic device for manufacturing at least one object according to a production schedule A work order, the electronic work order includes a work order number and a predetermined scheduling time, wherein the predetermined scheduling time is set according to a predetermined work time; B. The electronic work order is output as a paper work order, and The paper work order has a two-dimensional code of the work order number, and the two-dimensional code of the work order number corresponds to the work order number; C. Use the at least one camera to continuously obtain an image of a work area; an operator identifies a person The QR code and the paper work order are displayed in the imaging range of the at least one camera in the working area, wherein the QR code of the personnel identification number corresponds to a personnel identification number; D. The server identifies the working area , and obtain the personnel identification number corresponding to the QR code of the personnel identification number and the work order number corresponding to the QR code of the work order number; the server establishes the corresponding relationship between the personnel identification number and the work order number; E. The server recognizes the posture of the operator, and when the posture of the operator conforms to a starting posture, the server records a start time, and the operator performs at least one process; F. The server recognizes the posture of the operator, And when the posture of the operator conforms to an end posture, the server records an end time, and counts a working hour from the start time to the end time; and G. The server adjusts the predetermined working hour according to the working hour ; Wherein, this production system includes a display, and this display is located in this work area; In step E, comprise on this display, display a plurality of options and an option number corresponding to each of this option; These options include a starting option; The servo The system recognizes the posture of the operator's hand, and the initial posture includes the operator's finger to compare the option number corresponding to the initial option. The production management method as claimed in claim 9, wherein step E includes displaying a confirmation option and a corresponding option number on the display; after the operator's finger compares the option number corresponding to the starting option, the operation After the person's finger compares the option number corresponding to the option to be confirmed, the server records the start time. According to the production management method described in claim 9, step F includes displaying the options and the corresponding option numbers of the options on the display; the options include an end option; the server identifies the operator The hand posture of the operator, the end posture includes the operator's fingers to compare the option number corresponding to the end option. According to the production management method described in claim 11, before step F, an interruption option and a corresponding option number are displayed on the display; the server recognizes the posture of the operator's hand, and when it matches an interruption posture, the The server sends a warning message, wherein the interruption gesture includes the operator's finger comparing the option number corresponding to the interruption option. According to the production management method described in claim 11, after step F, it includes: displaying a quantity report option and a corresponding option number on the display; the server recognizes the gesture of the operator's hand, when the operator's finger When comparing the option number corresponding to the quantity reporting option, the server further recognizes the quantity of an object compared by the operator's finger. The production management method according to claim 13, wherein the predetermined scheduling time in step A is set according to the predetermined working hours and the quantity of objects; in step G, the server calculates a list according to the working hours and the number of objects A single piece of labor for an object, and set the single piece of labor as the scheduled labor. A production management method is applied to a production system, the production system includes at least one camera and a server; the production management method comprises the following steps: A. The server generates an electronic work order for manufacturing at least one object according to a production schedule, and the electronic work order includes a work order number and a predetermined scheduling time, wherein the predetermined scheduling time is based on a predetermined work time Setting; B. Output the electronic work order as a paper work order, and the paper work order has a two-dimensional code of the work order number, and the two-dimensional code of the work order number corresponds to the work order number; C. Use the At least one camera continuously obtains images of a work area; an operator presents a two-dimensional code of a personnel identification number and the paper work order in the imaging range of the at least one camera in the work area, wherein the personnel identification number The two-dimensional code corresponds to a personnel identification number; D. The server recognizes the image of the work area, and obtains the personnel identification number corresponding to the personnel identification number two-dimensional code, and the work order number corresponding to the work order number two-dimensional code. ; The server establishes the correspondence between the personnel identification number and the work order number; E. The server recognizes the posture of the operator, and when the posture of the operator conforms to a starting posture, the server records a start time, and The operator performs at least one process; F. The server recognizes the operator's posture, and when the operator's posture conforms to an end posture, the server records an end time, and counts a period from the start time to the end time Working hours; and G. The server adjusts the predetermined working hours according to the working hours; wherein, step E includes the server identifying the operator's action, and determining the number of objects by the repetition of the operator's action; step In G, the server calculates a single piece of work for a single object according to the work-hour and the number of objects, and sets the single piece of work as the predetermined work-hour.

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