Protective clothing wearing and taking-off scoring method and device, electronic equipment and storage medium

Abstract

The invention discloses a protective clothing wearing and taking-off scoring method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a protective clothing wearing and taking-off image of a to-be-evaluated object; inputting the protective clothing putting-on and taking-off image of the to-be-evaluated object into a pre-trained protective clothing putting-on and taking-off posture detection model to obtain protective clothing putting-on and taking-off key point information; inputting the protective clothing putting-on and taking-off image of the to-be-evaluated object into a pre-trained protective clothing putting-on and taking-off target detection model to obtain protective clothing putting-on and taking-off target information; and generating a protective clothing putting-on and taking-off scoring result based on the protective clothing putting-on and taking-off key point information and the protective clothing putting-on and taking-off target information. According to the technical scheme, the multi-information comprehensive scoring of the wearing and taking-off of the protective clothing is realized through the protective clothing wearing and taking-off key point information and the protective clothing wearing and taking-off target information, and the accuracy of the scoring result of the wearing and taking-off of the protective clothing is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a protective clothing donning and doffing scoring method, device, electronic equipment and storage medium. Background Art

[0002] In order to ensure the work safety of medical workers, learning to put on and take off personal protective equipment (PPE) quickly and correctly is crucial to preventing the spread of pathogens and protecting the health and safety of medical workers and patients.

[0003] At present, the training on putting on and taking off protective clothing mainly relies on the traditional face-to-face teaching method, that is, experienced medical workers demonstrate and explain, and then nursing students imitate and practice, and then experts score the nursing students' putting on and taking off protective clothing process.

[0004] In the process of realizing the present invention, the inventors found that there are at least the following technical problems in the prior art: the prior art solution has the problem of inaccurate scoring of putting on and taking off protective clothing. Summary of the invention

[0005] The present invention provides a protective clothing donning and doffing scoring method, device, electronic equipment and storage medium to improve the accuracy of protective clothing donning and doffing scoring.

[0006] According to one aspect of the present invention, a protective clothing donning and doffing scoring method is provided, comprising:

[0007] Obtain images of the object to be evaluated putting on and taking off protective clothing;

[0008] Inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain the protective clothing putting on and taking off key point information;

[0009] Inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information;

[0010] A protective clothing putting on and taking off scoring result is generated based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

[0011] According to another aspect of the present invention, a protective clothing donning and doffing scoring device is provided, comprising:

[0012] A protective clothing donning and doffing image acquisition module is used to acquire the protective clothing donning and doffing images of the object to be evaluated;

[0013] A protective clothing putting on and taking off posture detection module is used to input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain the protective clothing putting on and taking off key point information;

[0014] A protective clothing putting on and taking off target detection module is used to input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information;

[0015] The protective clothing putting on and taking off scoring result determination module is used to generate the protective clothing putting on and taking off scoring result based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] at least one processor;

[0018] and a memory communicatively coupled to the at least one processor;

[0019] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the protective clothing donning and doffing scoring method described in any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the protective clothing donning and doffing scoring method described in any embodiment of the present invention when executed.

[0021] The technical solution of the embodiment of the present invention obtains the key point information of putting on and taking off the protective clothing by inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model, and obtains the target information of putting on and taking off the protective clothing by inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model, and then generates the protective clothing putting on and taking off scoring result according to the key point information of protective clothing putting on and taking off and the target information of protective clothing putting on and taking off, thereby realizing the multi-information comprehensive scoring of protective clothing putting on and taking off and improving the accuracy of the scoring result of protective clothing putting on and taking off.

[0022] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 This is a flow chart of a protective clothing donning and doffing scoring method provided according to Embodiment 1 of the present invention;

[0025] Figure 2 This is a flow chart of a protective clothing donning and doffing scoring method provided according to Embodiment 2 of the present invention;

[0026] Figure 3 is a flow chart of a protective clothing donning and doffing scoring method provided according to Embodiment 3 of the present invention;

[0027] Figure 4 2 is a schematic diagram of the structure of a protective clothing donning and doffing scoring device provided according to a fourth embodiment of the present invention;

[0028] Figure 5 The present invention is a schematic diagram of the structure of an electronic device for implementing the protective clothing donning and doffing scoring method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0031] Embodiment 1

[0032] Figure 1 This is a flowchart of a protective clothing donning and doffing scoring method provided in the first embodiment of the present invention. This embodiment can be applied to the case of automatically scoring the donning and doffing process of the protective clothing of the object to be evaluated. The method can be executed by a protective clothing donning and doffing scoring device, which can be implemented in the form of hardware and / or software, and the protective clothing donning and doffing scoring device can be configured in electronic devices such as terminals. Figure 1 As shown, the method includes:

[0033] S110, obtaining images of the object to be evaluated putting on and taking off protective clothing.

[0034] In the embodiment of the present invention, the subject to be evaluated may be a medical worker or a nursing student, etc., which is not specifically limited here. The protective clothing putting on and taking off images refer to video frames taken when the subject to be evaluated is putting on and taking off protective clothing, and the number of the frames may be one or more.

[0035] Exemplarily, one or more images of the object to be evaluated putting on and taking off protective clothing can be acquired in real time through a camera, and one or more images of the object to be evaluated putting on and taking off protective clothing can also be retrieved from a preset storage path of the electronic device, without limitation here.

[0036] S120, inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain protective clothing putting on and taking off key point information.

[0037] In an embodiment of the present invention, the protective clothing wearing and taking off posture detection model refers to a pre-trained neural network model, which can be used to perform real-time detection of the posture of the object to be evaluated, thereby obtaining the key point information of the protective clothing wearing and taking off. The key point information of the protective clothing wearing and taking off refers to the coordinate information of the key parts of the body of the object to be evaluated during the process of wearing and taking off the protective clothing, which may include but is not limited to the coordinates of the key points such as the nose, eyes, ears, shoulders, elbows, wrists, hips, knees and ankles of the object to be evaluated.

[0038] Exemplarily, the protective clothing putting on and taking off posture detection model can be obtained by training based on MobilenetV1 or BlazePose, etc., and is not specifically limited here.

[0039] S130, inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information.

[0040] In an embodiment of the present invention, the protective clothing donning and taking off target detection model refers to a pre-trained neural network model, which can be used to detect targets in protective clothing donning and taking off images, thereby obtaining protective clothing donning and taking off target information. Protective clothing donning and taking off target information refers to target objects or target actions detected by the subject to be evaluated in the process of putting on and taking off protective clothing, etc., which may include but are not limited to hand pressing hand sanitizer actions, wearing a hat, wearing a mask, protective clothing, gloves, a table, goggles, or wearing goggles.

[0041] Exemplarily, the protective clothing putting on and taking off target detection model can be obtained by training based on YoloV5 or YoloV8, etc., and is not specifically limited here.

[0042] S140: Generate a protective clothing putting on and taking off scoring result based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

[0043] In the embodiment of the present invention, the first score can be determined according to the deviation between the key point information of putting on and taking off protective clothing corresponding to multiple body parts of the subject to be evaluated and the standard human body part posture. Furthermore, it is judged whether the putting on and taking off of protective clothing of the subject to be evaluated meets the specification according to the target information of putting on and taking off protective clothing, so as to determine the second score according to the judgment result, and then the first score and the second score are weighted and added to obtain the scoring result of putting on and taking off protective clothing.

[0044] In some embodiments, a reference object (such as a table or chair, etc.) can also be identified based on the target information of putting on and taking off the protective clothing, and then the protective clothing putting on and taking off score result can be directly determined based on the distance or position relationship between the key point information of putting on and taking off the protective clothing and the coordinate data corresponding to the reference object.

[0045] The technical solution of the embodiment of the present invention obtains the key point information of putting on and taking off the protective clothing by inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model, and obtains the target information of putting on and taking off the protective clothing by inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model, and then generates the protective clothing putting on and taking off scoring result according to the key point information of protective clothing putting on and taking off and the target information of protective clothing putting on and taking off, thereby realizing the multi-information comprehensive scoring of protective clothing putting on and taking off and improving the accuracy of the scoring result of protective clothing putting on and taking off.

[0046] Embodiment 2

[0047] Figure 2A flowchart of a protective clothing donning and taking off scoring method provided in the second embodiment of the present invention, the method of this embodiment can be combined with each optional scheme in the protective clothing donning and taking off scoring method provided in the above embodiment. The protective clothing donning and taking off scoring method provided in this embodiment has been further optimized. Optionally, the generation of protective clothing donning and taking off scoring results based on the protective clothing donning and taking off key point information and the protective clothing donning and taking off target information includes: generating a real-time human body part posture index based on the protective clothing donning and taking off key point information; comparing the real-time human body part posture index with the standard human body part posture index to obtain the human body part posture deviation; judging the protective clothing donning and taking off target information based on the preset operation item detection rule to obtain the protective clothing donning and taking off process detection result; determining the score corresponding to the human body part posture deviation and the score corresponding to the protective clothing donning and taking off process detection result; determining the protective clothing donning and taking off scoring result based on the score corresponding to the human body part posture deviation and the score corresponding to the protective clothing donning and taking off process detection result.

[0048] like Figure 2 As shown, the method includes:

[0049] S210: Obtaining images of the object to be evaluated putting on and taking off protective clothing.

[0050] S220: Input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain protective clothing putting on and taking off key point information.

[0051] S230: Input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information.

[0052] S240, generating a real-time human body part posture index based on the protective clothing putting on and taking off key point information; comparing the real-time human body part posture index with the standard human body part posture index to obtain the human body part posture deviation.

[0053] In an embodiment of the present invention, the key point information for putting on and taking off protective clothing may include one or more of the key point coordinates of the eyes, the key point coordinates of the eyebrows, the key point coordinates of the ears, the key point coordinates of the shoulders, the key point coordinates of the elbows, the key point coordinates of the wrists, the key point coordinates of the hips, the key point coordinates of the knees and the key point coordinates of the ankles; correspondingly, the real-time human body part posture indicators include one or more of the eye-eyebrow-ear angle, the arm-body angle and the knee bending angle.

[0054] The eye-eyebrow-ear angle refers to the angle formed by the eyes, eyebrows and ears of the subject to be evaluated, the arm-body angle refers to the angle between the arm and the trunk of the subject to be evaluated, and the knee bend angle refers to the angle between the thigh and calf of the subject to be evaluated.

[0055] For example, the real-time eye-eyebrow-ear angle of the object to be evaluated can be calculated according to the eye key point coordinates, the eyebrow key point coordinates and the ear key point coordinates, and then the real-time eye-eyebrow-ear angle of the object to be evaluated is compared with the standard eye-eyebrow-ear angle to obtain the human body part posture deviation corresponding to the eye-eyebrow-ear. The human body part posture deviation calculation principle of other parts of the object to be evaluated is the same as that of the eye-eyebrow-ear, which will not be repeated here.

[0056] S250: Based on the preset operation item detection rules, the protective clothing putting on and taking off target information is judged to obtain the protective clothing putting on and taking off process detection result.

[0057] In the embodiment of the present invention, the preset operation item detection rule is a preset rule for judging whether the operation of the object to be evaluated complies with the protective clothing donning and doffing specification.

[0058] Exemplarily, in the hand hygiene operation link, if the protective clothing putting on and taking off target information includes the action of pressing hand sanitizer, the protective clothing putting on and taking off process detection result is determined to be the completion of the hand hygiene operation; if the protective clothing putting on and taking off target information does not include the action of pressing hand sanitizer, the protective clothing putting on and taking off process detection result is determined to be the incomplete hand hygiene operation.

[0059] S260, determining the score corresponding to the deviation of the posture of the human body part and the score corresponding to the detection result of the protective clothing putting on and taking off process.

[0060] In the embodiment of the present invention, the score corresponding to the deviation of the posture of the human body part can be determined according to the mapping relationship between the deviation of the posture of the human body part and the score. Similarly, the score corresponding to the detection result of the protective clothing wearing and removing process can be determined according to the mapping relationship between the detection result of the protective clothing wearing and removing process and the score. For example, the score corresponding to the deviation of the posture of the human body part of 10 can be 20 points, and the score corresponding to completing the hand hygiene operation can be 10 points.

[0061] S270, determining a protective clothing putting on and taking off scoring result based on the score corresponding to the human body part posture deviation and the score corresponding to the protective clothing putting on and taking off process detection result.

[0062] In an embodiment of the present invention, the scores corresponding to the posture deviation of one or more human body parts and the scores corresponding to one or more protective clothing putting on and taking off process detection results can be weighted and added to obtain the protective clothing putting on and taking off scoring result. The score weight can be set based on experience and is not specifically limited here.

[0063] Optionally, the protective clothing putting on and taking off target information includes one or more of the following: a hand pressing hand sanitizer action, a hat on the head, a mask on the face, an open protective clothing, a gloved hand, a pair of gloves not being worn on the table, goggles on the head, no gloves on the table, a hand-crossed action, goggles taken off and placed on the table, a protective clothing put on the table after being taken off, a hand without gloves, a gloves put on the table after being taken off, a mask on the table after being taken off, and a hat on the table after being taken off; accordingly, based on the preset operation item detection rule, the protective clothing putting on and taking off target information is judged to obtain the protective clothing putting on and taking off process detection result, including: in the case where the protective clothing putting on and taking off target information includes the hand pressing hand sanitizer action In this case, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the hand hygiene operation; in the case where the protective clothing putting on and taking off target information includes the hat on the head, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the hat wearing operation; in the case where the protective clothing putting on and taking off target information includes the mask on the face, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the mask wearing operation; in the case where the protective clothing putting on and taking off target information includes the open protective clothing, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the protective clothing putting on operation; in the case where the protective clothing putting on and taking off target information includes the gloved hands and a pair of gloves not being worn on the table, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the inner gloves wearing operation; When the take-off target information includes wearing goggles, the protective clothing putting on and taking off process detection result is determined to be the completion of the goggles putting on operation; when the protective clothing putting on and taking off target information includes gloved hands and no gloves on the table, the protective clothing putting on and taking off process detection result is determined to be the completion of the outer gloves putting on operation; when the protective clothing putting on and taking off target information includes the crossing of hands and a pair of gloves not being worn on the table, the protective clothing putting on and taking off process detection result is determined to be the completion of the outer gloves taking off operation; when the protective clothing putting on and taking off target information includes wearing goggles and taking off goggles and putting them on the table, the protective clothing putting on and taking off process detection result is determined to be the completion of the goggles taking off operation; when the protective clothing putting on and taking off target information includes opening When the protective clothing is in the state of being placed on the table after being taken off, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the protective clothing taking off operation; when the protective clothing putting on and taking off target information includes the action of crossing both hands, the state of hands without gloves and the state of gloves being placed on the table after being taken off, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the inner gloves taking off operation; when the protective clothing putting on and taking off target information includes the mask on the face and the mask on the table after being taken off, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the mask taking off operation; when the protective clothing putting on and taking off target information includes the hat on the head and the hat on the table after being taken off, the detection result of the protective clothing putting on and taking off process is determined to be the completion of the hat taking off operation.

[0064] In the embodiment of the present invention, the process detection of wearing protective clothing includes hand hygiene, wearing a hat, wearing a mask, wearing protective clothing, wearing inner gloves, wearing goggles, wearing outer gloves and hand hygiene again. The process detection of taking off protective clothing includes taking off outer gloves, hand hygiene, taking off goggles, taking off protective clothing, taking off inner gloves, taking off masks and taking off hats.

[0065] It should be noted that whether the operation of putting on and taking off protective clothing is completed can be determined based on one or more types of protective clothing putting on and taking off target information. For example, when the protective clothing putting on and taking off target information includes a gloved hand and a pair of gloves that are not worn on a table, it can be determined that the protective clothing putting on and taking off process detection result is that the operation of putting on the inner gloves is completed.

[0066] Optionally, based on preset operation item detection rules, the target information of putting on and taking off protective clothing is judged to obtain the detection result of the protective clothing putting on and taking off process, and also includes: when the target information of putting on and taking off protective clothing includes the action of pressing hand sanitizer with hands and the action of separating both hands, and the time interval between the action of pressing hand sanitizer with hands and the action of separating both hands exceeds the preset time, it is determined that the detection result of the protective clothing putting on and taking off process is that the hand hygiene time is qualified.

[0067] Exemplarily, the timing starts when the action of pressing the hand sanitizer is detected, and ends when the action of separating the hands is detected, so as to obtain the time interval between the hand pressing the hand sanitizer action and the action of separating the hands, that is, the hand hygiene time. If the hand hygiene time exceeds 15 seconds, the result of the protective clothing putting on and taking off process detection is determined to be that the hand hygiene time is qualified; if the hand hygiene time does not exceed 15 seconds, the result of the protective clothing putting on and taking off process detection is determined to be that the hand hygiene time is unqualified.

[0068] Optionally, based on preset operation item detection rules, the target information of putting on and taking off protective clothing is judged to obtain the detection result of the protective clothing putting on and taking off process, which also includes: if the target information of putting on and taking off protective clothing includes the action of hands appearing in front of the mask in the mask removal operation link, then the detection result of the protective clothing putting on and taking off process is determined to be the erroneous behavior of hands appearing in front of the mask during the mask removal process.

[0069] It should be noted that by judging whether the hands appear in front of the mask during the mask removal operation, targeted detection of incorrect behaviors can be achieved, thereby improving the accuracy of the protective clothing wearing and taking off score.

[0070] The technical solution of the embodiment of the present invention generates a real-time human body posture index based on the key point information of putting on and taking off protective clothing, and then compares the real-time human body posture index with the standard human body posture index to obtain the human body posture deviation, and then judges the protective clothing putting on and taking off target information based on the preset operation item detection rule to obtain the protective clothing putting on and taking off process detection result; further, determine the score corresponding to the human body posture deviation and the score corresponding to the protective clothing putting on and taking off process detection result, and then determine the protective clothing putting on and taking off scoring result based on the score corresponding to the human body posture deviation and the score corresponding to the protective clothing putting on and taking off process detection result, thereby realizing multi-information comprehensive scoring of protective clothing putting on and taking off, and improving the accuracy of the protective clothing putting on and taking off scoring result.

[0071] Embodiment 3

[0072] Figure 3 This is a flow chart of a protective clothing donning and doffing scoring method provided in Embodiment 3 of the present invention. The method of this embodiment can be combined with each optional scheme in the protective clothing donning and doffing scoring method provided in the above embodiments. The protective clothing donning and doffing scoring method provided in this embodiment is further optimized. Optionally, the protective clothing putting on and taking off target detection model includes a feature extraction unit, a grid division unit, a bounding box prediction unit, a category classification unit, a bounding box filtering unit and a target detection result output unit; accordingly, the protective clothing putting on and taking off image of the object to be evaluated is input into the pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information, including: inputting the protective clothing putting on and taking off image of the object to be evaluated into the feature extraction unit to obtain a visual feature image corresponding to the protective clothing putting on and taking off image; dividing the visual feature image into a plurality of visual feature grid images by the grid division unit; for any visual feature grid image, determining the bounding box corresponding to the visual feature grid image by the bounding box prediction unit; for any visual feature grid image, determining the category corresponding to the bounding box by the category classification unit; filtering and / or non-maximum suppression processing is performed on the bounding box by the bounding box filtering unit to obtain protective clothing putting on and taking off target information; and outputting the protective clothing putting on and taking off target information by the target detection result output unit.

[0073] like Figure 3 As shown, the method includes:

[0074] S310, obtaining images of the object to be evaluated putting on and taking off protective clothing.

[0075] S320: Input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain protective clothing putting on and taking off key point information.

[0076] S330, inputting the protective clothing putting on and taking off image of the object to be evaluated into the feature extraction unit to obtain a visual feature image corresponding to the protective clothing putting on and taking off image;

[0077] S340: Divide the visual feature image into a plurality of visual feature grid images by the grid division unit.

[0078] S350: For any visual feature grid image, determine a bounding box corresponding to the visual feature grid image by the bounding box prediction unit.

[0079] S360: For any visual feature grid image, determine the category corresponding to the bounding box by the category classification unit.

[0080] S370: Filter and / or perform non-maximum suppression processing on the bounding box by the bounding box filtering unit to obtain protective clothing putting on and taking off target information.

[0081] S380. Outputting protective clothing putting on and taking off target information through the target detection result output unit.

[0082] S390: Generate a protective clothing putting on and taking off scoring result based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

[0083] In an embodiment of the present invention, a protective clothing putting on and taking off target detection model may include a feature extraction unit, a grid division unit, a bounding box prediction unit, a category classification unit, a bounding box filtering unit and a target detection result output unit.

[0084] Exemplarily, the feature extraction unit can perform feature extraction on the protective clothing wearing and removing image of the object to be evaluated through a convolutional neural network to capture the visual feature image corresponding to the protective clothing wearing and removing image, and then divide the visual feature image into multiple visual feature grid images through the grid division unit. For any visual feature grid image, the bounding box corresponding to the visual feature grid image can be determined by the bounding box prediction unit, and the possible target object or target action can be located through the position information and size information of the bounding box; for any visual feature grid image, the category corresponding to the bounding box is determined by the category classification unit, and the category can be one or more of protective clothing, human body, hand sanitizer, goggles, gloves, masks, hats, hands and trash cans. Further, the bounding box filtering unit can filter out the bounding boxes whose confidence is lower than the preset confidence threshold, and / or perform non-maximum suppression processing on the bounding boxes to remove overlapping bounding boxes, so that the protective clothing wearing and removing target information retains the most accurate detection result; the target detection result output unit outputs the protective clothing wearing and removing target information, and the protective clothing wearing and removing target information may include the position, category and confidence of the bounding box.

[0085] The technical solution of the embodiment of the present invention inputs the protective clothing putting on and taking off image of the object to be evaluated into a feature extraction unit to obtain a visual feature image corresponding to the protective clothing putting on and taking off image, and then divides the visual feature image into multiple visual feature grid images through a grid division unit, and for any visual feature grid image, determines the bounding box corresponding to the visual feature grid image through a bounding box prediction unit; for any visual feature grid image, determines the category corresponding to the bounding box through a category classification unit; and then filters and / or performs non-maximum suppression processing on the bounding box through a bounding box filtering unit to obtain protective clothing putting on and taking off target information, and then outputs the protective clothing putting on and taking off target information through a target detection result output unit, thereby realizing real-time target detection of protective clothing putting on and taking off, ensuring the reliability of the protective clothing putting on and taking off target information, and thus improving the accuracy of the protective clothing putting on and taking off scoring results.

[0086] Embodiment 4

[0087] Figure 4 This is a schematic diagram of the structure of a protective clothing donning and doffing scoring device provided in Embodiment 4 of the present invention. Figure 4 As shown, the device comprises:

[0088] The protective clothing putting on and taking off image acquisition module 410 is used to acquire the protective clothing putting on and taking off image of the object to be evaluated;

[0089] A protective clothing putting on and taking off posture detection module 420 is used to input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain protective clothing putting on and taking off key point information;

[0090] A protective clothing putting on and taking off target detection module 430 is used to input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information;

[0091] The protective clothing putting on and taking off scoring result determination module 440 is used to generate a protective clothing putting on and taking off scoring result based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

[0092] The technical solution of the embodiment of the present invention obtains the key point information of putting on and taking off the protective clothing by inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model, and obtains the target information of putting on and taking off the protective clothing by inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model, and then generates the protective clothing putting on and taking off scoring result according to the key point information of protective clothing putting on and taking off and the target information of protective clothing putting on and taking off, thereby realizing the multi-information comprehensive scoring of protective clothing putting on and taking off and improving the accuracy of the scoring result of protective clothing putting on and taking off.

[0093] In some optional embodiments, the protective clothing donning and doffing scoring result determination module 440 includes:

[0094] A human body part posture index determination unit, used to generate a real-time human body part posture index based on the protective clothing putting on and taking off key point information;

[0095] A human body part posture deviation determination unit, used for comparing the real-time human body part posture index with a standard human body part posture index to obtain a human body part posture deviation;

[0096] A protective clothing putting on and taking off process detection result determination unit, used to judge the protective clothing putting on and taking off target information based on preset operation item detection rules to obtain the protective clothing putting on and taking off process detection result;

[0097] A score determination unit, used to determine the score corresponding to the deviation of the posture of the human body part and the score corresponding to the detection result of the protective clothing putting on and taking off process;

[0098] The protective clothing putting on and taking off score determination unit is used to determine the protective clothing putting on and taking off score result based on the score corresponding to the posture deviation of the human body part and the score corresponding to the protective clothing putting on and taking off process detection result.

[0099] In some optional embodiments, the protective clothing putting on and taking off key point information includes one or more of eye key point coordinates, eyebrow key point coordinates, ear key point coordinates, shoulder key point coordinates, elbow key point coordinates, wrist key point coordinates, hip key point coordinates, knee key point coordinates and ankle key point coordinates;

[0100] Correspondingly, the real-time human body part posture index includes one or more of the eye-eyebrow-ear angle, the arm-body angle and the knee bending angle.

[0101] In some optional implementations, the protective clothing wearing and removing target information includes one or more of the following: hand pressing hand sanitizer action, hat on head, mask on face, open protective clothing, gloved hands, a pair of gloves not worn on the table, goggles on head, no gloves on the table, hands crossed, goggles taken off and placed on the table, protective clothing taken off and placed on the table, hands without gloves, gloves taken off and placed on the table, masks on the table after taking off, and hats on the table after taking off;

[0102] Accordingly, the protective clothing putting on and taking off process detection result determination unit can be specifically used for:

[0103] In a case where the protective clothing putting on and taking off target information includes a hand pressing hand sanitizer action, determining that the protective clothing putting on and taking off process detection result is completion of the hand hygiene operation;

[0104] When the protective clothing putting on and taking off target information includes a hat on the head, determining that the protective clothing putting on and taking off process detection result is completion of the hat putting on operation;

[0105] In a case where the protective clothing putting on and taking off target information includes a mask on the face, determining that the protective clothing putting on and taking off process detection result is completing the mask wearing operation;

[0106] When the protective clothing putting on and taking off target information includes an open protective clothing, determining that the protective clothing putting on and taking off process detection result is that a protective clothing putting on operation is completed;

[0107] In a case where the protective clothing putting on and taking off target information includes a gloved hand and a pair of gloves not being worn on a table, determining that the protective clothing putting on and taking off process detection result is completion of the inner glove putting on operation;

[0108] When the protective clothing putting on and taking off target information includes wearing goggles, determining that the protective clothing putting on and taking off process detection result is completing the goggles wearing operation;

[0109] When the protective clothing putting on and taking off target information includes the gloved hands and the absence of gloves on the table, determining that the protective clothing putting on and taking off process detection result is the completion of the outer gloves putting on operation;

[0110] In a case where the protective clothing putting on and taking off target information includes a two-hand crossing action and a pair of gloves not being worn on the table, determining that the protective clothing putting on and taking off process detection result is completion of the outer gloves taking off operation;

[0111] In a case where the protective clothing putting on and taking off target information includes wearing goggles and taking off goggles and putting them on the table, determining that the protective clothing putting on and taking off process detection result is completing the goggles taking off operation;

[0112] When the protective clothing putting on and taking off target information includes the state of the protective clothing being opened and the protective clothing being put on the table after being taken off, determining that the protective clothing putting on and taking off process detection result is that the protective clothing taking off operation is completed;

[0113] When the protective clothing putting on and taking off target information includes a two-hand crossing action, a hand not wearing gloves, and a gloves being put on a table after being taken off, determining that the protective clothing putting on and taking off process detection result is completing the inner gloves taking off operation;

[0114] In a case where the protective clothing putting on and taking off target information includes a mask on the face and a mask on the table after taking it off, determining that the protective clothing putting on and taking off process detection result is completing the mask taking off operation;

[0115] In a case where the protective clothing putting on and taking off target information includes the hat on the head and the hat on the table after taking it off, it is determined that the protective clothing putting on and taking off process detection result is that the hat taking off operation is completed.

[0116] In some optional implementations, the protective clothing putting on and taking off process detection result determination unit may also be used to:

[0117] When the protective clothing putting on and taking off target information includes the hand pressing hand sanitizer action and the hand separation action, and the time interval between the hand pressing hand sanitizer action and the hand separation action exceeds the preset time, it is determined that the protective clothing putting on and taking off process detection result is that the hand hygiene time is qualified.

[0118] In some optional implementations, the protective clothing putting on and taking off process detection result determination unit may also be used to:

[0119] If the protective clothing putting on and taking off target information includes the action of hands appearing in front of the mask in the mask taking off operation link, it is determined that the protective clothing putting on and taking off process detection result is an erroneous behavior of hands appearing in front of the mask during the mask taking off process.

[0120] In some optional embodiments, the protective clothing putting on and taking off target detection model includes a feature extraction unit, a grid division unit, a bounding box prediction unit, a category classification unit, a bounding box filtering unit and a target detection result output unit;

[0121] Accordingly, the protective clothing putting on and taking off target detection module 430 is specifically used for:

[0122] Inputting the protective clothing putting on and taking off image of the object to be evaluated into the feature extraction unit to obtain a visual feature image corresponding to the protective clothing putting on and taking off image;

[0123] Dividing the visual feature image into a plurality of visual feature grid images by the grid division unit;

[0124] For any visual feature grid image, determining a bounding box corresponding to the visual feature grid image by the bounding box prediction unit;

[0125] For any visual feature grid image, determining the category corresponding to the bounding box by the category classification unit;

[0126] The bounding box is filtered and / or subjected to non-maximum suppression processing by the bounding box filtering unit to obtain protective clothing putting on and taking off target information;

[0127] The target information of putting on and taking off protective clothing is outputted through the target detection result output unit.

[0128] The protective clothing putting on and taking off scoring device provided in the embodiment of the present invention can execute the protective clothing putting on and taking off scoring method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0129] Embodiment 5

[0130] Figure 5A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0131] like Figure 5 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The I / O interface 15 is also connected to the bus 14.

[0132] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0133] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a protective clothing donning and doffing scoring method, which includes:

[0134] Obtain images of the object to be evaluated putting on and taking off protective clothing;

[0135] Inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain the protective clothing putting on and taking off key point information;

[0136] Inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information;

[0137] A protective clothing putting on and taking off scoring result is generated based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

[0138] In some embodiments, the protective clothing donning and doffing scoring method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the protective clothing donning and doffing scoring method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the protective clothing donning and doffing scoring method in any other appropriate manner (e.g., by means of firmware).

[0139] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0140] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0141] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0142] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0143] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0144] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0145] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0146] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A protective clothing donning and doffing scoring method, characterized in that: include: Obtain images of the object to be evaluated putting on and taking off protective clothing; Inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain the protective clothing putting on and taking off key point information; Inputting the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information; A protective clothing putting on and taking off scoring result is generated based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

2. The method according to claim 1, characterized in that The generating of the protective clothing putting on and taking off scoring result based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information includes: Generate real-time human body posture indicators based on the protective clothing putting on and taking off key point information; Comparing the real-time human body part posture index with the standard human body part posture index to obtain the human body part posture deviation; Based on the preset operation item detection rules, the protective clothing putting on and taking off target information is judged to obtain the protective clothing putting on and taking off process detection result; Determine the score corresponding to the posture deviation of the human body part and the score corresponding to the protective clothing putting on and taking off process detection result; The protective clothing putting on and taking off scoring result is determined based on the score corresponding to the posture deviation of the human body part and the score corresponding to the protective clothing putting on and taking off process detection result.

3. The method according to claim 2, characterized in that The protective clothing putting on and taking off key point information includes one or more of the key point coordinates of the eyes, the key point coordinates of the eyebrows, the key point coordinates of the ears, the key point coordinates of the shoulders, the key point coordinates of the elbows, the key point coordinates of the wrists, the key point coordinates of the hips, the key point coordinates of the knees and the key point coordinates of the ankles; Correspondingly, the real-time human body part posture index includes one or more of the eye-eyebrow-ear angle, the arm-body angle and the knee bending angle.

4. The method according to claim 2, characterized in that: The target information of putting on and taking off protective clothing includes one or more of the following: the action of pressing hand sanitizer, the hat on the head, the mask on the face, the open protective clothing, the gloved hands, the unworn pair of gloves on the table, the goggles on the head, the no gloves on the table, the action of crossing the hands, the goggles taken off and placed on the table, the state of putting the protective clothing on the table after taking it off, the state of not wearing gloves on the hands, the state of putting gloves on the table after taking them off, the mask on the table after taking them off, and the hat on the table after taking them off; Correspondingly, based on the preset operation item detection rule, the protective clothing putting on and taking off target information is judged to obtain the protective clothing putting on and taking off process detection result, including: In a case where the protective clothing putting on and taking off target information includes a hand pressing hand sanitizer action, determining that the protective clothing putting on and taking off process detection result is completion of the hand hygiene operation; When the protective clothing putting on and taking off target information includes a hat on the head, determining that the protective clothing putting on and taking off process detection result is completion of the hat putting on operation; In a case where the protective clothing putting on and taking off target information includes a mask on the face, determining that the protective clothing putting on and taking off process detection result is completing the mask wearing operation; When the protective clothing putting on and taking off target information includes an open protective clothing, determining that the protective clothing putting on and taking off process detection result is that a protective clothing putting on operation is completed; In a case where the protective clothing putting on and taking off target information includes a gloved hand and a pair of gloves not being worn on a table, determining that the protective clothing putting on and taking off process detection result is completion of the inner glove putting on operation; When the protective clothing putting on and taking off target information includes wearing goggles, determining that the protective clothing putting on and taking off process detection result is completing the goggles wearing operation; When the protective clothing putting on and taking off target information includes the gloved hands and the absence of gloves on the table, determining that the protective clothing putting on and taking off process detection result is the completion of the outer gloves putting on operation; In a case where the protective clothing putting on and taking off target information includes a two-hand crossing action and a pair of gloves not being worn on the table, determining that the protective clothing putting on and taking off process detection result is completion of the outer gloves taking off operation; When the protective clothing putting on and taking off target information includes putting on goggles and taking off goggles and putting them on the table, determining that the protective clothing putting on and taking off process detection result is completing the goggles taking off operation; When the protective clothing putting on and taking off target information includes the state of the protective clothing being opened and the protective clothing being put on the table after being taken off, determining that the protective clothing putting on and taking off process detection result is that the protective clothing taking off operation is completed; When the protective clothing putting on and taking off target information includes a two-hand crossing action, a hand not wearing gloves, and a gloves being put on a table after being taken off, determining that the protective clothing putting on and taking off process detection result is completing the inner gloves taking off operation; In a case where the protective clothing putting on and taking off target information includes a mask on the face and a mask on the table after taking it off, determining that the protective clothing putting on and taking off process detection result is completing the mask taking off operation; In a case where the protective clothing putting on and taking off target information includes the hat on the head and the hat on the table after taking it off, it is determined that the protective clothing putting on and taking off process detection result is that the hat taking off operation is completed.

5. The method according to claim 4, characterized in that The step of judging the protective clothing putting on and taking off target information based on the preset operation item detection rule to obtain the protective clothing putting on and taking off process detection result further includes: When the protective clothing putting on and taking off target information includes the hand pressing hand sanitizer action and the hand separation action, and the time interval between the hand pressing hand sanitizer action and the hand separation action exceeds the preset time, it is determined that the protective clothing putting on and taking off process detection result is that the hand hygiene time is qualified.

6. The method according to claim 4, characterized in that The step of judging the protective clothing putting on and taking off target information based on the preset operation item detection rule to obtain the protective clothing putting on and taking off process detection result further includes: If the protective clothing putting on and taking off target information includes the action of hands appearing in front of the mask in the mask taking off operation link, it is determined that the protective clothing putting on and taking off process detection result is an erroneous behavior of hands appearing in front of the mask during the mask taking off process.

7. The method according to claim 1, characterized in that The protective clothing putting on and taking off target detection model includes a feature extraction unit, a grid division unit, a bounding box prediction unit, a category classification unit, a bounding box filtering unit and a target detection result output unit; Accordingly, the protective clothing putting on and taking off image of the object to be evaluated is input into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information, including: Inputting the protective clothing putting on and taking off image of the object to be evaluated into the feature extraction unit to obtain a visual feature image corresponding to the protective clothing putting on and taking off image; Dividing the visual feature image into a plurality of visual feature grid images by the grid division unit; For any visual feature grid image, determining a bounding box corresponding to the visual feature grid image by the bounding box prediction unit; For any visual feature grid image, determining the category corresponding to the bounding box by the category classification unit; The bounding box is filtered and / or subjected to non-maximum suppression processing by the bounding box filtering unit to obtain protective clothing putting on and taking off target information; The target information of putting on and taking off protective clothing is outputted through the target detection result output unit.

8. A protective clothing donning and doffing scoring device, characterized in that: include: A protective clothing donning and doffing image acquisition module is used to acquire the protective clothing donning and doffing images of the object to be evaluated; A protective clothing putting on and taking off posture detection module is used to input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off posture detection model to obtain the protective clothing putting on and taking off key point information; A protective clothing putting on and taking off target detection module is used to input the protective clothing putting on and taking off image of the object to be evaluated into a pre-trained protective clothing putting on and taking off target detection model to obtain protective clothing putting on and taking off target information; The protective clothing putting on and taking off scoring result determination module is used to generate the protective clothing putting on and taking off scoring result based on the protective clothing putting on and taking off key point information and the protective clothing putting on and taking off target information.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the protective clothing donning and doffing scoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the protective clothing donning and doffing scoring method according to any one of claims 1 to 7 when executed.

Images