TW202221561A - Protective gear identification system and protective gear identification method - Google Patents

Abstract

A protective gear identification system includes an image capture device and a computing device. The image capture device is configured to capture an image of an operator. The computing device is connected to the image capturing device and includes a processor, a storage device, and a protective gear identification model database. The storage device is connected to the processor and configured to store the image. The processor recognizes a posture of the operator in the image. The protective gear identification model database is connected to the processor and configured to store the protective gear identification model. The protective gear identification model records s position of a protective gear in the posture of the operator. The processor outputs an identification result according to the protective gear identification model. The identification result includes whether there is a protective gear at the position of the posture in the image.

Description

Protective gear identification system and protective gear identification method

The present disclosure relates to a protective gear identification system and a protective gear identification method.

In the manufacturing process of semiconductor components, workers may have concerns about industrial safety if they fail to take safety precautions to wear protective gear during the operation process.

The operation of donning protective gear is described in each specification. For safety protection, some current practices only carry out internal education and training of staff and irregular audits by supervisors, and conduct inspections for personnel wearing protective equipment. For example, for chemical mechanical planarization (CMP) personnel, it is only promoted according to the specification, and it is included in the CMP autonomous audit management according to the specification. This cannot completely and effectively monitor the wearing condition of the operator's protective gear.

One aspect of the present disclosure relates to a protective gear identification system.

According to an embodiment of the present disclosure, a protective gear identification system includes an image capturing device and a computing device. The image capture device is configured to capture the image of the operator. The computing device is connected to the image capturing device and includes a processor, a storage device, and a database of the protective gear identification model. The storage device is connected to the processor and used for storing images. The processor recognizes the posture of the operator in the image. The protective gear identification model database is connected to the processor and used for storing the protective gear identification model. The protective gear identification model records the position of the protective gear in the posture. The processor recognizes whether there is a protective device at the position of the posture in the image according to the protective device identification model and outputs the recognition result.

In one or more embodiments of the present disclosure, the aforementioned protective gear identification system further includes a display. The display is connected to the computing device. Display settings to display the interactive interface. Multiple options are presented on the interactive interface. The processor selects one of these options based on the operator's posture.

In some embodiments of the present disclosure, the processor sets the identity of the operator and the protective gear to be identified according to the option selected by the operator.

In one or more embodiments of the present disclosure, the storage device is further configured to store the machine usage information of the operator. The processor selects the protective gear identification model from the protective gear identification model database according to the machine usage information.

In one or more embodiments of the present disclosure, the aforementioned protective gear identification system further includes a server. The server is remotely connected to the computing device. The server is used to receive the image of the operator. The server trains and provides the protective gear identification module to the protective gear identification model database of the computing device according to the image training.

In one or more embodiments of the present disclosure, the aforementioned protective gear identification system further includes a transmission device. The transfer device is connected to the processor. When the processor outputs the identification result, the transmitting device transmits the image and the identification result to the personal electronic device.

One aspect of the present disclosure relates to a method for identifying a protective gear.

According to an embodiment of the present disclosure, a method for identifying a protective gear includes the following processes. Capture images of workers. Identify the pose of the operator in the image. Check whether the worker in the image is wearing protective gear. Checking whether the worker in the image is wearing protective gear involves the following procedure. Obtain the position of the protective gear in the posture according to the protective gear identification model. Confirm whether there is a protective gear at the position of the operator's posture in the image, and output the recognition result.

In one or more embodiments of the present disclosure, the aforementioned method for identifying a protective gear further includes the following processes. Displays multiple options through the display. Select one of these options according to the operator's posture in the image to set the operator's identity and the protective gear that needs to be identified according to the option selected by the operator.

In some embodiments of the present disclosure, the aforementioned method for identifying a protective gear further includes the following processes. Send the operator's identity and identification results to the personal electronic device.

In some embodiments of the present disclosure, when the process of confirming whether the operator in the image is wearing protective gear exceeds a set time, the display redisplays options for the operator to select.

To sum up, the present disclosure provides a non-contact protective gear identification system and a corresponding protective gear identification method that can be used, using edge computing and machine vision, combined with artificial intelligence image recognition to assist safety inspections. It can immediately warn and record abnormal conditions, and achieve the correct wearability of protective equipment and improve the safety awareness of operators.

It should be understood that the above general description and the following detailed description are all further descriptions by way of examples, and are intended to provide further explanation of the present disclosure.

The following examples are described in detail in conjunction with the accompanying drawings, but the provided examples are not intended to limit the scope of the present invention, and the description of the structure and operation is not intended to limit the order of its execution. Any recombination of components The structure and the resulting device with equal efficacy are all within the scope of the present invention. In addition, the drawings are for illustrative purposes only, and are not drawn on the original scale. For ease of understanding, the same or similar elements in the following description will be described with the same symbols.

Unless otherwise defined, all terms (including technical and scientific terms) used herein have their ordinary meanings as understood by those skilled in the art. Furthermore, the definitions of the above words in commonly used dictionaries should be interpreted as meanings consistent with the relevant fields of the present invention in the content of this specification. Unless specifically defined, these terms are not to be construed in an idealized or overly formal sense.

The terms "first", "second", ... etc. used in this document do not specifically refer to the order or order, nor are they used to limit the present invention, but are only used to distinguish elements or operations described in the same technical terms. That's it.

Secondly, the terms "comprising", "including", "having", "containing" and the like used in this document are all open-ended terms, which means including but not limited to.

Furthermore, in this text, unless the content of the article is particularly limited, "a" and "the" can generally refer to a single one or a plurality of. It will be further understood that the terms "comprising", "including", "having" and similar words used herein designate the recited features, regions, integers, steps, operations, elements and/or components, but do not exclude one or more of its other features, regions, integers, steps, operations, elements, components, and/or groups thereof, described or additional thereto.

In order to comply with safety regulations, protective gear for semiconductor workers is necessary. Protective gear includes masks, aprons, and gloves. In addition to publicizing the operator, an automatic and complete inspection process is needed to check the wearing condition of the operator's protective gear. At the same time, the inspection process and the overall system interaction interface should also take into account the inconvenient operation of the operator after wearing the protective gear.

Please refer to Figure 1. FIG. 1 is a schematic block diagram of a brace identification system 100 according to an embodiment of the present disclosure. Through the protective gear identification system 100, it is possible to identify whether the operator is wearing protective gear. And the operator can activate the protective gear identification system 100 without touching the operation.

As shown in FIG. 1 , in an embodiment of the present disclosure, the brace identification system 100 includes an image capturing device 110 , a computing device 120 , a display 150 , a remote server 160 and an input device 170 . The image capturing device 110 is connected to the image capturing device 110 . Display 150 and input device 170 are connected to computing device 120 . The computing device 120 of the brace identification system 100 can be remotely connected to the remote server 160 and the personal electronic device 300, respectively.

The image capturing device 110 is configured to capture an image of the operator. Specifically, in some embodiments, the image capture device 110 includes a camera, a camera, or a CCD machine vision. By capturing the image of the operator in real time by the image capturing device 110 , the posture of the operator can be obtained in real time, so that the operator can operate the protective gear identification system 100 by changing his posture. For details, please refer to the subsequent description.

The image capturing device 110 is connected to the computing device 120 . The computing device 120 can analyze the images captured by the image capturing device 110 to obtain relevant information including, for example, the posture of the operator. As shown in FIG. 1 , in this embodiment, the computing device 120 includes a processor 125 , a storage device 130 , a protective gear identification model database 135 and a transmission device 140 , the storage device 130 , the protective gear identification model database 135 and the transmission device 140 . The devices 140 are connected to the processor 125, respectively.

The processor 125 can recognize the posture of the operator in the image. For example, the processor can identify the distribution of workers in the image according to the image captured by the image capturing device 110 . In some embodiments, the processor can obtain the distribution of the workers in the image by removing the background of the workers through some back-removing algorithms. Then, for the distribution of workers, the positioning points and connecting lines can be marked for different parts of the workers by means of machine learning/artificial intelligence, so as to identify the posture of the workers.

The protective gear identification model database 135 is used for storing the protective gear identification model. The protective gear identification model records the position of the protective gear in the operator's posture. For example, in some embodiments, the processor 125 has analyzed the positioning points of different parts of the operator in the image, and can record what kind of protective gear should be worn at the different positioning points according to the protective gear identification model. In this way, the processor 125 can identify whether there is a specific protective gear at the positioning point through the algorithm of object identification, thereby outputting the identification result. In some embodiments, the output recognition result may list in detail whether there is a specific protective gear on the positioning point of the operator's posture in the image.

In this embodiment, the storage device 130 of the computing device 120 can be used to store the recognition result output by the processor 125 . The identification result output by the processor 125 can also be remotely sent to the personal electronic device 300 through the transmitting device 140 . The personal electronic device 300 is, for example, a personal computer or a server of a supervisor of an operator. In this way, the supervisor of the worker will be able to confirm whether the worker is wearing protective gear. The retained records of the identification results are also conducive to subsequent assignments and publicity.

Display 150 is connected to computing device 120 . In this embodiment, the display 150 is configured to display an interactive interface. Multiple options are presented on the interactive interface. The processor 125 selects one of these options according to the operator's posture. In this way, when the operator wears the protective gear, the operation of the protective gear identification system 100 can be realized without going through a contact interface.

For example, to file protective wear data, the storage device 130 of the computing device 120 stores the machine usage information of a plurality of operators in advance, and thereby provides a plurality of options. After the operator triggers the protective gear identification system 100 contactlessly, a plurality of options are presented on the display 150 . After the image capture device 110 captures the image of the operator, the processor 125 analyzes the image of the operator to obtain the operator's posture, and sets the movement of the operator's hand positioning point to correspond to one of the operations on the display 150 The movement of the cursor. Meanwhile, the interactive interface on the display 150 also provides multiple options according to the machine usage information of multiple operators. In this way, the operator selects an option by moving the cursor by moving the positioning point of the hand. The processor 125 will be able to set the identity of the operator and the protective gear that needs to be identified according to the options selected by the operator.

The protective gear identification model stored in the storage device 130 can be provided by the remote server 160 . Specifically, according to some embodiments of the present disclosure, after the image capture device 110 captures the image of the operator, the image of the operator can be transmitted to the remote server 160 through the transmission device 140 of the computing device 120 . After receiving the image of the operator, the remote server 160 can customize the training of the protective gear recognition module according to the image of the operator.

For example, when the operator checks the protective gear at a specific location in the factory, the background in the image must be similar. Under this premise, the remote server 160 can customize the image to remove the back and perform gesture recognition. , and train the protective gear recognition module by machine learning or artificial intelligence. Machine learning or artificial intelligence is used for training, and customized object recognition training can also be performed for specific types/models of protective gear. In this way, the remote server 160 can complete the protective gear recognition module, and realize the subsequent processor 125. The establishment of the AI image recognition model of the application, and then verify the safety protection results of whether the operator wears protective gear.

After the remote server 160 completes the training of the brace identification module, the brace identification module can be transmitted to the storage device 130 of the computing device 120 for storage. In this way, the processor 125 of the computing device 120 can perform the posture recognition of the operator in the operator image and the inspection of the protective device through the protective device identification module, thereby realizing the advantage of marginal computing.

In this embodiment, the protective gear identification system 100 is further connected to an input device 170 . The input device 170 may not be used by the operator. For example, the input device 170 may include a keyboard and a mouse, and the computing device 120 is, for example, a personal computer. In this way, the computing device 120 can be pre-configured through the input device 170 before the supporter identification system 100 is executed.

To further describe the execution of the protective gear identification system 100 in detail, please refer to FIG. 2 . FIG. 2 illustrates a flowchart of a method 400 for identifying a protective gear according to an embodiment of the present disclosure. The protective gear identification method 400 includes a process 410 to a process 460 .

In process 410, the brace identification system 100 enters a standby mode. In the standby mode, according to the obtained work schedule information, the storage device 130 of the protective gear identification system 100 has preloaded various identity detection item options (as shown in FIG. 6 ) and the corresponding protective gear identification model for use in the subsequent process.

In the process 420, after wearing the protective gear, the operator triggers the protective gear identification system 100 in a non-contact manner. For example, in some embodiments, the image capturing device 110 of the protective gear identification system 100 can be set to be triggered after capturing an image including an operator for a certain period of time. When the protective gear recognition system 100 is triggered, the corresponding image capture device 110 captures the image of the operator, and recognizes the posture of the operator.

Please refer to Figure 3. FIG. 3 schematically illustrates a schematic diagram of the image capturing device 110 capturing an image 200 of the operator 210 . As shown in FIG. 3 , the protective gear worn by the worker 210 includes an apron 215 on the body, cuffs 220 on the arms, gloves 230 on the hands, a mask 225 on the head, a helmet 235 , and shoes 240 on the feet. In the image 200 captured by the image capturing device 110 shown in FIG. 3 , in addition to the operator 210 , the background behind the operator 210 is also included, which is not shown in FIG. 3 for the purpose of simple description.

FIG. 4 and FIG. 5 schematically illustrate a schematic diagram of the protective gear identification system 100 acquiring the posture of the operator 210 according to an embodiment of the present disclosure.

In FIG. 4 , based on the image 200 , the processor 125 of the protective gear identification system 100 can perform back removal, so that the distribution of the operator 210 in the image 200 is extracted, and the image analysis can be performed independently.

Compared to FIG. 3 , in FIG. 4 , the processor 125 can mark a plurality of anchor points on the operator 210 . These positioning points are located at different parts of the operator 210 respectively, so as to reflect the characteristics of the posture of the operator 210 , so the positioning points are also referred to as feature points. In some embodiments, the anchor points (feature points) may be set at various joints of different parts of the operator in the image, such as elbows, wrists, waists, knees, and the like. Regarding the method of setting the positioning points, for example, the processor 125 can mark the positioning points in an artificial intelligence manner after individually inputting the distribution of the operator 210 in the image 200 through the gesture recognition model. In some embodiments, the image capturing device 110 is a camera, so the processor 125 can identify multiple consecutive images 200 of the operator 210 with the back removed, so as to mark positioning points on each joint of the operator 210 .

As shown in FIG. 4 , the positioning points on the operator 210 include the head positioning point 252 on the head, the shoulder positioning point 254 near the shoulders, the neck positioning point 256 on the neck, and the elbow positioning point on the arm joint Point 258, hand anchor point 260 at the palm position, waist anchor point 262 at the waistline, leg anchor point 264 at the leg joints, and foot anchor point 266 at the sole of the foot.

Between these anchor points, lines can be made according to the human body structure. For example, in FIG. 4 , the line connecting the shoulder anchor point 254 - the elbow anchor point 258 - the hand anchor point 260 corresponds to the posture of the operator's 210 arm. The line connecting the waist positioning point 262 - the leg positioning point 264 - the foot positioning point 266 corresponds to the posture of the operator's 210 legs. Therefore, the posture of the operator 210 can be reflected by synthesizing the connection lines between the positioning points and the positioning points of the operator 210 , so as to realize the posture recognition of the operator 210 .

It should be noted that the gesture recognition method shown in FIG. 4 is only an embodiment of the present disclosure, and should not limit the gesture recognition algorithm used in the present disclosure. It is also possible to perform image analysis on the image 200 of the operator 210, and an algorithm that can locate the features of different parts of the operator 210 in the image 200 is also included in the present disclosure.

Continuing from FIG. 4 , in FIG. 5 , the identified multiple positioning points and the connection between the positioning points are loaded onto the operator 210 in the image 200 . Once the operator 210 moves in the image 200 , each positioning point will also move corresponding to different parts of the operator 210 , thereby reflecting the change of the posture of the operator 210 in real time.

Please go back to Figure 2 and refer to Figure 6 at the same time. In the process 430 , the operator 210 selects the identity detection item presented in the interactive interface on the display 150 through the recognized gesture. FIG. 6 is a schematic diagram of an interactive interface on the display 150 according to an embodiment of the present disclosure.

On the display 150 shown in FIG. 6 , the interactive interface presentation includes a cursor 275 and a plurality of options 277 . The time, identity and work type are indicated on the option 277, which corresponds to the operation of different work types performed by the workers 210 with different identities under different working hours.

As mentioned above, after the gesture recognition of the operator 210 is completed, the cursor 275 can be moved through, for example, a hand positioning point 260 of the operator 210 . When the cursor 275 moves to a specific option 277 , the interactive interface of the display 150 can present information 280 corresponding to the work type of the option 277 . As shown in FIG. 6 , in this embodiment, the information 280 may be a table indicating the name of the protective equipment (protective equipment) to be worn and the corresponding part of the protective equipment under the work type corresponding to the option 277 . Taking the information 280 presented in Figure 6 as an example, the acid-proof apron 215 should be placed on the body, the sleeve 220 should be placed on the arm, the mask 225 and the helmet 235 should be placed on the head, and the acid-proof gloves 230 should be placed on the hand. In this embodiment, different parts correspond to one or more positioning points of the operator 210 in the image 200 (as shown in FIG. 5 ).

Back to Figure 2. Going to the process 440 , after the selection of the option 277 of the identity detection item is completed, the protective gear identification system 100 will check the protective gear according to the selection of the operator 210 . Taking the information 280 corresponding to the item 277 in FIG. 6 as an example, the protective gear identification system 100 will check the body, arms, head and hands.

At this time, the processor 125 of the protective gear identification system 100 will select the protective gear identification model stored in the storage device 130 according to the selection of the operator 210 . The protective gear identification model records the positions of different protective gears in the posture of the operator 210 . Specifically, taking this embodiment as an example, the protective gear identification model is recorded in one or more corresponding positioning points that different protective gear should be installed on.

Please refer to Figure 7. FIG. 7 is a schematic diagram of identifying a protective gear of the operator 210 according to an embodiment of the present disclosure. In FIG. 7 , the protective gear identification system 100 is shown inspecting the acid-resistant glove 230 . At this time, the brace identification system 100 provides a check box 281 on the image 200 . In order to check the hand, the protective gear identification system 100 sets the check box 281 to include the entire hand positioning point 260 , and uses the object recognition algorithm to confirm whether the acid-proof glove 230 exists at the hand positioning point 260 . Taking FIG. 7 as an example, there are acid-proof gloves 230 on the two hand positioning points 260 of the operator 210 .

FIG. 8 is a schematic diagram of identifying another protective gear of the operator 210 according to an embodiment of the present disclosure. In FIG. 7, the protective gear identification system 100 is shown inspecting the acid-resistant apron 215. At this point, the brace recognition system 100 provides a check box 282 on the image 200 . To check the body, the brace identification system 100 sets the check box 282 to include all shoulder anchor points 254 , waist anchor points 262 , and leg anchor points 264 . Taking FIG. 8 as an example, the range included in the inspection frame 282 by the operator 210 does correspond to the body of the operator 210 , and an acid-proof apron 215 exists on the body of the operator 210 .

FIG. 9 is a schematic diagram of identifying that the operator 210 is not wearing a protective gear according to an embodiment of the present disclosure. Similar to FIG. 7 , in FIG. 9 , the protective gear identification system 100 is shown inspecting the acid-resistant glove 230 . At the hand positioning point 260 marked in the check box 281 , the protective gear identification system 100 can easily identify that the operator 210 is not wearing the acid-proof gloves 230 .

Similarly, for the inspection of the cuff 220 on the arm, two check boxes can be set correspondingly to include a shoulder positioning point 254, an elbow positioning point 258, and a hand positioning point 260, and whether there is a cuff in these two sets of check boxes. Set of 220. For the inspection of the head mask 225 and the safety helmet 235, a check frame covering the head positioning point 252 can be set, and it is confirmed whether the face mask 225 and the safety helmet 235 exist in such a check frame.

In this way, the protective gear identification system 100 will be able to complete the process 440 to complete the inspection of the protective gear worn by the operator 210 . If the operator 210 has unworn protective gear as shown in FIG. 9 , the protective gear identification system 100 can wait for an inspection time in the process 440 until the operator 210 completes the wearing of the protective gear.

Please go back to picture 2. In the process 450, it is confirmed whether the inspection time of the operator 210 in the process 440 exceeds a preset inspection time. If it does not time out, it means that the operator 210 has passed the inspection and can enter the subsequent process 460 . If it times out, the corresponding operator 210 fails the inspection, the protective gear identification system 100 returns to the process 440, and the interactive interface of the display 150 again provides option 277 for the operator 210 to confirm whether the selected identity detection item is correct.

Please refer to Figure 2 and Figure 10 at the same time. FIG. 10 illustrates a plurality of identification results transmitted to a personal electronic device 300 according to an embodiment of the present disclosure.

In the process 460 , the processor 125 of the protective gear identification system 100 outputs the identification results after completing the inspection of the protective gear, and transmits the plurality of identification results to the personal electronic device 300 through the transmitting device 140 in real time. As mentioned above, the personal electronic device 300 is, for example, the personal computer of the supervisor of the operator 210 or a server for recording, so as to facilitate access and management by related units.

The multiple recognition results provided in Figure 10 are presented in a table, and the fields of the table include time, identity (type), (job) type, test result, front photo and back photo. As shown in Fig. 10, the time field records the time when the protective gear identification system 100 checks the operator; the identity field records the worker's job number; the type field records the work type; If passed, provide front and back photos.

Take the worker with the job number R20029 as an example, whose job type is monthly insurance, and passes the detection (Pass) of the protective gear identification system 100, and provides a front photo (file name imgfront) and a back photo (file name imageback).

For the worker with job number H81806, his work type is acid replacement, but he fails the detection (fail) of the protective gear identification system 100 . Since it failed the test, there is no need to leave a photo.

After the inspection is completed, the protective gear identification system 100 may return to the process 410, enter the standby mode, and wait for triggering by other operators.

To sum up, the present disclosure provides a non-contact protective gear identification system and a corresponding protective gear identification method that can be used. In this way, edge computing and CCD (charge coupled device) machine vision combined with artificial intelligence image analysis technology are used to compare the safety protection wear of workers with the database or feature points. Perform standard attire artificial intelligence image recognition before operation. When it is abnormally worn, it can immediately warn and record the abnormal situation, which has achieved the correct wearability of protective equipment and improved the safety awareness of operators. In this disclosure, active detection and non-contact AI artificial intelligence detection are adopted. All operations determine the job number or cancel the detection by identifying the operator's posture, so that the operator can still easily operate for identification and inspection after wearing protective gear. . In some embodiments, the protective gear identification system and method of the present disclosure can be used for the development and introduction of AI industrial safety robots.

Although the present invention has been disclosed above by the embodiments, it is not intended to limit the present invention. Anyone skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection of the present invention The scope shall be determined by the scope of the appended patent application.

It will be apparent to those skilled in the art that various modifications and changes can be made in the structures of the embodiments of the present disclosure without departing from the scope or spirit of the disclosure. In view of the foregoing, the present disclosure is intended to cover various modifications and variations insofar as they fall within the scope of the appended claims.

100: Protective gear identification system 110: Image capture device 120: Computing Devices 125: Processor 130: Storage Device 135: Protector Identification Model Database 140: Teleporter 150: Monitor 160: Server 170: Input Device 200: Video 210: Operators 215: Apron 220: Sleeve 225: Mask 230: Gloves 235: Hard hat 240: Shoes 252: head anchor point 254: Shoulder anchor point 256: Neck Anchor Point 258: Elbow anchor point 260: Hand positioning point 262: waist anchor point 264: Leg anchor point 266: Foot Anchor Point 275: Cursor 277:Options 280: Information 281, 282: Check Box 300: Personal Electronic Devices 400: How to identify protective gear 410~460: Process

The advantages and drawings of the present disclosure should be better understood from the following embodiments and with reference to the drawings. The descriptions of these drawings are merely exemplary embodiments, and therefore should not be construed to limit individual embodiments or to limit the scope of the claimed invention. FIG. 1 shows a schematic block diagram of a protective gear identification system according to an embodiment of the present disclosure; FIG. 2 illustrates a flowchart of a method for identifying a protective gear according to an embodiment of the present disclosure; FIG. 3 schematically illustrates a schematic diagram of capturing an image of an operator; FIG. 4 and FIG. 5 schematically illustrate a schematic diagram of obtaining an operator's posture according to an embodiment of the present disclosure; FIG. 6 shows a schematic diagram of an interactive interface on a display according to an embodiment of the present disclosure; FIG. 7 shows a schematic diagram of identifying a protective gear of an operator according to an embodiment of the present disclosure; FIG. 8 is a schematic diagram of identifying another protective gear of an operator according to an embodiment of the present disclosure; FIG. 9 shows a schematic diagram of identifying that an operator is not wearing a protective gear according to an embodiment of the present disclosure; and FIG. 10 illustrates a plurality of identification results transmitted to a personal electronic device according to an embodiment of the present disclosure.

Domestic storage information (please note in the order of storage institution, date and number) none Foreign deposit information (please note in the order of deposit country, institution, date and number) none

100: Protective gear identification system

110: Image capture device

120: Computing Devices

125: Processor

130: Storage Device

135: Protector Identification Model Database

140: Teleporter

150: Monitor

160: Server

170: Input Device

300: Personal Electronic Devices

Claims (10)

A protective gear identification system, comprising: an image capture device configured to capture an image of an operator; and A computing device connected to the image capture device and comprising: a processor; a storage device connected to the processor and used for storing the image, wherein the processor recognizes a gesture of the operator in the image; and A supporter identification model database is connected to the processor and used for storing a supporter identification model, wherein the supporter identification model records a position of a supporter in the posture, and the processor identifies the supporter identification model according to the supporter identification model. Whether the protective gear exists at the position of the posture in the image and output an identification result. The protective gear identification system according to claim 1, further comprising: A display is connected to the computing device, wherein the display is set to display an interactive interface, a plurality of options are presented on the interactive interface, and the processor selects one of the options according to the operator's gesture. The protective gear identification system according to claim 2, wherein the processor sets an identity of the operator and the protective gear to be identified according to the option selected by the operator. The protective gear identification system as claimed in claim 1, wherein the storage device is further configured to store machine usage information of the operator, and the processor selects from the protective gear identification model database according to the machine usage information The protective gear identification model. The protective gear identification system according to claim 1, further comprising: a server connected to the computing device remotely, wherein the server is used for receiving the image of the operator, the server is trained according to the image and provides the protective gear recognition module to the protective gear recognition model of the computing device database. The protective gear identification system of claim 1, wherein the computing device further comprises: A transmission device is connected to the processor, wherein when the processor outputs an identification result, the transmission device transmits the image and the identification result to a personal electronic device. A protective gear identification method, comprising: capture an image of an operator; identifying a gesture of the operator in the image; and Confirm whether the operator in the image is wearing a protective gear, including: Obtain a position of the brace in the posture according to a brace identification model; and It is confirmed whether the protective gear exists at the position of the posture of the operator in the image, so as to output an identification result. The protective gear identification method according to claim 7, further comprising: displaying a plurality of options through a display; and One of the options is selected according to the posture of the operator in the image, so as to set an identity of the operator and the protective gear to be identified according to the option selected by the operator. The protective gear identification method according to claim 8, further comprising: Send the identity of the operator and the identification result to a personal electronic device. The protective gear identification method according to claim 8, wherein when the process of confirming whether the operator in the image is wearing the protective gear exceeds a set time, the display redisplays the options for the operator to select.

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