AI recognition function-based complex waste appliance recycling robot and application method thereof

Abstract

The application relates to a complex medical instrument recycling robot based on an AI recognition function and an application method thereof. On the basis of the robot, image AI recognition and intelligent electric storage control are combined to intelligently store complex medical instruments. The robot can perform AI image recognition on the images of the complex medical instruments before and after storage. In the case of successful recognition, the storage unit is opened, and the complex medical instrument is put in. The used complex medical instrument can be transferred and recycled, the nursing physician and other personnel are prevented from directly contacting the used complex medical instrument, medical infection is avoided, and the risk of the nursing physician using the complex medical instrument is reduced. The storage barrel in the storage unit can be used to position and store the complex medical instrument. The storage position of the complex medical instrument can be known by inputting the number ID of the complex medical instrument on the background processor, so that time is saved. The intelligent complex medical instrument recycling robot can greatly improve the use efficiency of the complex medical instrument.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of intelligent medical technology, in particular to a complex medical instrument recycling robot based on AI recognition function and an application method and electronic equipment thereof. BACKGROUND

[0002] The storage of sterile items plays a crucial role as the last link of the disinfection supply center. The sterile item storage rack or cabinet should be more than or equal to 20 cm from the ground, more than or equal to 5 cm from the wall, and more than or equal to 50 cm from the ceiling. The storage temperature is required to be less than 24 degrees, and the humidity is required to be less than 70 degrees.

[0003] Currently, the sterile package is stored in a number of ordinary snap lock storage boxes on the storage rack. When a clinician uses a sterile package, a nurse takes it from the recycling frame storage box. If some complex medical instruments are used, the doctor needs to put them in the recycling storage box after use, and the next day the nurse in the disinfection supply room will recycle the instruments, clean them, disinfect them, and pack them.

[0004] There will be the following problems:

[0005] When recycling the instruments, the nurse finds that the forceps or scissors or other items are missing. However, it is almost impossible to find the missing items because of the one-day gap, causing economic loss and preventing the normal use of complex medical instruments.

[0006] When recycling the instruments, the nurse is easily pricked by the needles in the recycling frame, and the injection needles used by the patient may be infected with diseases such as syphilis, AIDS, and hepatitis B, causing occupational exposure and harming the health of the body.

[0007] The storage method of the traditional storage box is relatively simple and not digital and intelligent. The efficiency is low when the sterile items are taken out of the storage box by manual operation. SUMMARY

[0008] To solve the above problems, the present application proposes a complex medical instrument recycling robot based on AI recognition function and an application method and electronic equipment thereof.

[0009] In one aspect of the present application, a complex medical instrument recycling robot based on AI recognition function is proposed, comprising:

[0010] An MCU is used to respond to various control instructions issued by a background processor to realize logical control of various functional units of the robot.

[0011] A walking mechanism is used to execute walking instructions issued by the MCU and walk to a predetermined position.

[0012] A storage unit is provided on the walking mechanism and is used to execute storage instructions issued by the MCU to store complex medical instruments.

[0013] a visual camera, disposed on the top of the storage unit through an adjustable support, for taking pictures of the medical consumables, obtaining front and back storage images of the medical consumables and forwarding the front and back storage images to the background processor through the MCU, the front and back storage images including images before and after storage;

[0014] a background processor, for issuing control instructions of the walking mechanism, the storage unit and the visual camera to the MCU, and receiving and verifying the front and back storage images of the medical consumables;

[0015] The walking mechanism, the storage unit and the visual camera are respectively electrically connected with the MCU, and the MCU is electrically connected with the background processor.

[0016] As an optional embodiment of the present application, the storage unit comprises:

[0017] a cabinet body;

[0018] a storage barrel disposed in the cabinet body, for storing the medical consumables;

[0019] an electric handle disposed on the cabinet body, for mounting the storage barrel in the cabinet body;

[0020] The electric handle is electrically connected with the MCU and rotates under the electric control of the MCU to drive the storage barrel to automatically tilt.

[0021] As an optional embodiment of the present application, the background processor is further used for:

[0022] inputting the number ID of the medical consumables and saving the number ID of the medical consumables in the background database.

[0023] As an optional embodiment of the present application, the background processor is further used for:

[0024] inputting basic storage information of the medical consumables, saving the basic storage information of the medical consumables in the background database and binding the basic storage information under the number ID of the medical consumables;

[0025] and

[0026] when the medical consumables are stored, inputting the number ID of the medical consumables, calling the basic storage information of the medical consumables bound under the number ID of the medical consumables from the background database and displaying the basic storage information in the front end to let the background administrator verify the basic storage information of the medical consumables to be stored.

[0027] As an optional embodiment of the application, the background processor is further configured to:

[0028] Upon receiving the front and rear storage images of the consumable device, the front and rear storage images of the consumable device are stored in a background database and bound to the ID of the consumable device.

[0029] In addition, the application further provides a method for recycling a consumable device based on an AI recognition function.

[0030] Upon storing the consumable device, the ID of the consumable device is input, and the front and rear storage images of the consumable device bound to the ID of the consumable device are retrieved from the background database.

[0031] As an optional embodiment of the application, the background processor is further configured to:

[0032] Upon receiving the front and rear storage images of the consumable device, the front and rear storage images are compared based on an image AI recognition algorithm to determine whether the image after storage is consistent with the image before storage.

[0033] If not, it indicates that the consumable device to be stored is missing, and an alarm prompt message is sent to the front end.

[0034] If yes, a corresponding electric control instruction is sent to the electric handle of the storage unit.

[0035] As an optional embodiment of the application, the background processor is further configured to:

[0036] Upon determining that the image after storage is inconsistent with the image before storage, the missing image elements in the image after storage are extracted and sent to the front end synchronously with the alarm prompt message.

[0037] In another aspect, the application provides an application method of a consumable device recycling robot based on an AI recognition function, which comprises the following steps:

[0038] The ID of the consumable device is input on the background processor, and the ID of the consumable device is stored in the background database.

[0039] The basic storage information and the image before storage of the consumable device are input, and the basic storage information and the image before storage of the consumable device are stored in the background database and bound to the ID of the consumable device.

[0040] The control instruction of the walking mechanism, the storage unit and the visual camera is sent to the MCU.

[0041] The walking mechanism executes the walking instruction sent by the MCU and walks to the predetermined position.

[0042] The visual camera photographs the reusable instrument to be stored, acquires the image of the reusable instrument after storage, and forwards the image to a background processor through the MCU, and the background processor saves the image of the reusable instrument after storage in a background database;

[0043] When the reusable instrument is stored, the number ID of the reusable instrument is input, the basic storage information of the reusable instrument bound to the number ID of the reusable instrument is called from the background database and displayed on the front end, and the background administrator verifies the basic storage information of the reusable instrument to be stored.

[0044] As an optional embodiment of the application, optionally, the application further comprises:

[0045] The background processor compares the images before and after storage based on an image AI recognition algorithm to determine whether the image after storage is consistent with the image before storage:

[0046] If not, it indicates that the reusable instrument to be stored is missing, an alarm prompt information is sent to the front end, the missing image elements in the image after storage are extracted and sent to the front end synchronously with the alarm prompt information;

[0047] If consistent, a corresponding electric control instruction is sent to the electric handle of the storage unit.

[0048] In another aspect, the application also provides an electronic device, comprising:

[0049] a processor;

[0050] a memory for storing processor executable instructions;

[0051] The processor is configured to execute the executable instructions to implement the application method of the reusable instrument recycling robot based on the AI recognition function.

[0052] Technical effects of the application:

[0053] The application realizes intelligent storage of the used medical instruments through a robot. On the basis of the robot, the used medical instruments are stored intelligently by combining image AI recognition and intelligent electric storage control. The robot can perform AI image recognition on the images of the used medical instruments before and after storage. In the case of successful recognition, the storage unit is opened and the used medical instrument is put in. When the medical instrument recycling robot is used to recycle the used medical instruments, especially the used medical instruments, the used medical instruments can be transferred and recycled, so as to avoid direct contact of the nursing doctors and other personnel with the used medical instruments, avoid causing medical infections, and reduce the risk of the nursing doctors using the used medical instruments. According to the application, the used medical instruments can be positioned and stored in the storage barrels in the storage unit. The number ID of the used medical instrument is input on the background processor, so that the storage position of the used medical instrument is known, the corresponding storage barrel is opened, and the used medical instrument is found, thereby saving time. The intelligent used medical instrument recycling robot can greatly improve the use efficiency of the used medical instruments.

[0054] Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0055] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the present disclosure and serve to explain the principles of the present disclosure.

[0056] Figure 1 An application system schematic diagram of the used medical instrument recycling robot based on the AI recognition function of the present application is shown.

[0057] Figure 2 An application structure schematic diagram of the storage unit of the present application is shown.

[0058] Figure 3 An acquisition schematic diagram of the images before and after storage of the present application is shown.

[0059] Figure 4 A schematic diagram of the image comparison of the images before and after storage of the present application is shown.

[0060] Figure 5 An application schematic diagram of the electronic device of the present application is shown. DETAILED DESCRIPTION

[0061] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference signs in the drawings represent functionally identical or similar elements. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0062] The term "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any implementation described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other implementations.

[0063] In addition, for the purpose of providing a more complete understanding of the present disclosure, numerous specific details are given in the following detailed description. One skilled in the art will understand, however, that the present disclosure can be practiced without certain specific details. In some instances, well-known means, elements and circuits are not described in detail in order to avoid obscuring the present disclosure.

[0064] The present scheme is based on a robot, combined with image AI recognition and intelligent electric storage control, to intelligently store the used medical instruments in the hospital. The robot can perform AI image recognition on the images of the used medical instruments before and after storage. If the recognition is successful, the storage unit will be opened and the used medical instrument will be put in. When the used medical instrument recycling robot is used to recycle the medical instruments, especially the used medical instruments, it can transfer and recycle the used medical instruments, avoid direct contact between the nursing staff and the used medical instruments, avoid causing medical infections, and reduce the risk of using the used medical instruments for the nursing staff.

[0065] Embodiment 1

[0066] The used medical instrument recycling robot of the present scheme can also be used for similar sterile items.

[0067] The used medical instrument recycling robot based on AI recognition function proposed in the present embodiment is upgraded based on the existing mobile robot. The functions of the existing mobile robot are not described again. For example, the used medical instrument recycling robot based on AI recognition function automatically walks through the walking mechanism. After the corresponding walking path is planned by the background processor, the robot walks along the preset walking path. The corresponding walking information is sent by the background processor, and the walking information is processed by the MCU to send the walking instruction to the walking mechanism.

[0068] As for the obstacle infrared detection, obstacle avoidance function, charging function and AI voice robot function that the robot can play during walking along the walking path, the configuration function on the existing intelligent robot can be used.

[0069] As shown in Figure 1 In one aspect, the present application proposes a used medical instrument recycling robot based on AI recognition function, which comprises:

[0070] The MCU is used to respond to various control instructions sent by the background processor to realize logical control of various functional units of the robot.

[0071] A walking mechanism for executing a walking instruction issued by the MCU to walk to a predetermined position;

[0072] A storage unit disposed on the walking mechanism for executing a storage instruction issued by the MCU to store the reprocessing device;

[0073] A visual camera disposed on the top of the storage unit through an adjustable support for taking pictures of the reprocessing device to obtain front and rear storage images of the reprocessing device and forwarding them to a background processor through the MCU, wherein the front and rear storage images include images before and after storage;

[0074] A background processor for issuing control instructions to the MCU for the walking mechanism, the storage unit, and the visual camera, and receiving and verifying the front and rear storage images of the reprocessing device;

[0075] The walking mechanism, the storage unit, and the visual camera are electrically connected to the MCU, and the MCU is electrically connected to the background processor.

[0076] In this embodiment, the image before storage specifically refers to the image obtained by the visual camera before use of the reprocessing device, and the image after storage specifically refers to the image obtained by the visual camera before the reprocessing device is stored in the storage unit after use and is transferred by the doctor to the robot.

[0077] Before use of the reprocessing device, the image before storage is first taken by the visual camera and uploaded to the background database. After use, before transfer and storage, the image after storage is taken by the visual camera and uploaded to the background database.

[0078] The walking mechanism of the robot issues corresponding walking instructions by the MCU to control the walking mechanism to walk to a predetermined position. The storage unit is disposed on the walking mechanism, and the storage unit can be in the form of a storage cabinet. The storage cabinet is internally provided with at least one storage barrel, which is driven by an electric handle controlled by the MCU. When the reprocessing device is stored, the background administrator issues corresponding storage instructions through the background processor, and the MCU executes the storage instructions to open the storage unit, drive the electric handle to rotate and tilt the storage barrel, and allow the doctor to put the used reprocessing device. After putting in, reset and transfer the reprocessing device to a disinfection room, etc.

[0079] The specific form of the storage unit is not limited, which can be the above-mentioned storage cabinet or other storage functional structures.

[0080] The visual camera is used to take pictures of the consumables before storage, obtain the pre-storage images, and upload and save them to the background database. When the doctor transfers the consumables later, the post-storage images of the used consumables are taken, and the background processor retrieves the pre-storage images of the consumables and compares them with the post-storage images to determine whether the pre-storage and post-storage images of the transferred consumables are consistent. If the pre-storage and post-storage images are consistent, it indicates that the consumables are not lost after use, otherwise, the consumables are lost, and an alarm signal needs to be sent in time.

[0081] The background processor is used to identify and compare the pre-storage and post-storage images of the consumables to determine whether the used consumables are lost or missing.

[0082] The visual camera is installed on the top of the front unit, and can be installed on the top of the storage unit through an adjustable bracket.

[0083] The MCU of the robot, the background processor, and the display front end can use the hardware configuration on the existing robot. The background administrator operates the background processor through the front end to process a series of data processing.

[0084] The robot is moved to the designated position according to the preset path in advance, and the background administrator such as a doctor first takes pictures of the consumables before use, uploads and saves the pre-storage images to the database. After the doctor uses the consumables, the consumables are photographed again, and the background processor is used to identify and compare the pre-storage and post-storage images. After verification and confirmation that the consumables are not lost, the storage unit is opened by the background processor, and the doctor puts the consumables.

[0085] As shown in Figure 2 , as an optional embodiment of the present application, the storage unit comprises:

[0086] a cabinet 1;

[0087] a storage barrel 3 arranged in the cabinet, used for storing the consumables;

[0088] an electric handle 2 arranged on the cabinet 1, used for mounting the storage barrel 3 in the cabinet 1;

[0089] The electric handle 2 is electrically connected with the MCU, and rotates under the electric control of the MCU to drive the storage barrel 3 to automatically tilt.

[0090] The storage unit is automatically controlled, and a storage barrel is arranged in the storage unit. The storage barrel is installed in the cabinet of the storage unit by an electric handle. The electric handle is electrically connected with the MCU, and rotates and drives the storage barrel to be inclined to a predetermined angle under the electric control of the MCU. After the background processor identifies and confirms that the reprocessing instrument is not missing, the background processor sends a corresponding electric control instruction to the MCU.

[0091] A garbage bag can be placed in the storage barrel 3 in advance for placing the used reprocessing instrument. After the robot moves the reprocessing instrument to the sterilization chamber, the reprocessing instrument is taken out together with the garbage bag to avoid infection of the storage barrel 3. After the garbage bag is taken out, a new garbage bag can be sleeved, so that the robot can return to the predetermined position.

[0092] As an optional embodiment of the application, the background processor is further configured to:

[0093] The number ID of the reprocessing instrument is inputted, and the number ID of the reprocessing instrument is saved in the background database.

[0094] The background administrator enters the background processor through the front end, and can input the number ID of the reprocessing instrument before using the reprocessing instrument, and save the number ID in the background database. After the visual camera photographs the reprocessing instrument, the image of the reprocessing instrument can be saved and bound under the number ID of the reprocessing instrument, so as to facilitate unified management of each reprocessing instrument.

[0095] As an optional embodiment of the application, the background processor is further configured to:

[0096] The basic storage information of the reprocessing instrument is inputted, and the basic storage information of the reprocessing instrument is saved in the background database and bound under the number ID of the reprocessing instrument.

[0097] And,

[0098] When the reprocessing instrument is stored, the number ID of the reprocessing instrument is inputted, the basic storage information of the reprocessing instrument bound under the number ID of the reprocessing instrument is called from the background database and displayed on the front end, and the background administrator verifies the basic storage information of the reprocessing instrument to be stored.

[0099] The background administrator can enter the background processor through the front end, enter and save the basic storage information of the consumable equipment before using the consumable equipment, save it to the background database, and bind the entered basic storage information of the consumable equipment under the number ID of the consumable equipment. After entering the number ID, the basic storage information of the consumable equipment bound to the number ID and other information such as image information are retrieved and sent to the front end for viewing.

[0100] The basic storage information of the consumable equipment can include the number, type and storage location of each consumable equipment.

[0101] After using the consumable equipment, the doctor moves the consumable equipment to the robot, can enter the background processor through the front end, input the number ID of the consumable equipment, retrieve the basic storage information bound to the number ID from the background database and send it to the front end for display. The background administrator can check and verify the basic storage information of the consumable equipment to be stored.

[0102] As shown in Figure 3 , as an optional embodiment of the present application, the background processor is further configured to:

[0103] save the front and rear storage images of the consumable equipment in the background database and bind them under the number ID of the consumable equipment when the front and rear storage images of the consumable equipment are received;

[0104] and

[0105] input the number ID of the consumable equipment when the consumable equipment is stored, retrieve the front and rear storage images of the consumable equipment bound to the number ID of the consumable equipment from the background database.

[0106] Before using the consumable equipment, the visual camera acquires the pre-storage image of the consumable equipment, and the background processor processes and saves the pre-storage image in the background database, and binds the pre-storage image before use under the corresponding number ID. After using the consumable equipment, the visual camera acquires the post-storage image again, and saves and binds the post-storage image under the number ID.

[0107] Before storing the used consumable equipment, the number ID of the used consumable equipment needs to be input, and the front and rear storage images of the consumable equipment are retrieved from the background database for image recognition and comparison, which is completed by the background processor.

[0108] As shown in Figure 4 , as an optional embodiment of the present application, the background processor is further configured to:

[0109] Upon receiving the before-and-after storage images of the complex medical apparatus, the image AI recognition algorithm is used to compare the before-storage image and the after-storage image, and determine whether the after-storage image is consistent with the before-storage image:

[0110] If not, it indicates that the complex medical apparatus to be stored is missing, and an alarm prompt information is sent to the front end;

[0111] If yes, a corresponding electric control instruction is sent to the electric handle of the storage unit.

[0112] The background processor can perform image recognition and comparison based on the before-storage image and the after-storage image of the complex medical apparatus before and after use. The before-storage image and the after-storage image are compared based on the pre-configured image AI recognition algorithm. The complex medical apparatus represented by the image information on the two images is compared to determine whether there is a missing condition on the image elements on the after-storage image. If there is a missing condition of a certain complex medical apparatus (there are multiple complex medical apparatuses on the image) on the after-storage image, it indicates that the after-storage image is inconsistent with the before-storage image, such as missing a certain complex medical apparatus. During the image comparison process, it is determined that the after-storage image is inconsistent with the before-storage image. The background processor sends a corresponding alarm prompt information according to the image recognition comparison result and feeds back to the front end, reminding the background administrator that there is a missing condition of the complex medical apparatus.

[0113] If the elements on the image are consistent after comparison, the background processor sends an electric control instruction to the electric handle to drive the opening of the storage unit and the insertion of the used complex medical apparatus for recycling by the robot.

[0114] As an optional embodiment of the present application, optionally, the background processor is further configured to:

[0115] When determining whether the after-storage image is inconsistent with the before-storage image, the missing image elements in the after-storage image are extracted and sent to the front end synchronously with the alarm prompt information.

[0116] If the background processor determines that the images are inconsistent during the image recognition and comparison of the before-and-after storage images, it indicates that the used complex medical apparatus is missing. In order to quickly find the missing complex medical apparatus, the background processor extracts the missing image elements (missing complex medical apparatus, which will not be displayed in the after-storage image) in the before-and-after storage images based on the image algorithm, and feeds back the extracted image elements to the front end to remind the background administrator of the missing complex medical apparatus.

[0117] As for the contrast extraction of the lost image elements, after the specific algorithm recognition, the lost image elements are separated after contrast, and the separated lost image elements are fed back to the front end.

[0118] On the basis of the above, the storage barrel position of each recycling device can also be input and recorded by the background processor. After inputting the number ID of the recycling device, the storage barrel position information of the recycling device can be bound under the number ID of the recycling device, and the background administrator can check the storage barrel position of the recycling device through the front end when inputting the number ID of the recycling device, so as to quickly find the recycling device.

[0119] The recycling device can also be stored in the storage barrel in the storage unit. The number ID of the recycling device is input on the background processor, so that the storage position of the recycling device can be known, the corresponding storage barrel is opened, and the recycling device can be found, saving time. The intelligent recycling device recycling robot can greatly improve the use efficiency of the recycling device.

[0120] The modules or steps of the above-mentioned application can be realized by a general computing device, which can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Alternatively, they can be realized by program codes executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be respectively manufactured into individual integrated circuit modules, or multiple modules or steps among them can be manufactured into a single integrated circuit module to realize. Thus, the application is not limited to any specific combination of hardware and software.

[0121] Example 2

[0122] Based on the implementation principle of example 1, another aspect of the present application proposes an application method of a recycling device recycling robot based on AI recognition function, which includes the following steps:

[0123] Enter the number ID of the recycling device on the background processor and save the number ID of the recycling device in the background database;

[0124] Enter the basic storage information and pre-storage image of the recycling device, save the basic storage information and pre-storage image of the recycling device in the background database and bind them under the number ID of the recycling device;

[0125] Send control instructions for the walking mechanism, storage unit and visual camera to the MCU:

[0126] The walking mechanism executes the walking instruction sent by the MCU and walks to the predetermined position;

[0127] The visual camera photographs the disposable medical instrument to be stored, acquires the image of the disposable medical instrument after storage, and forwards the image to the background processor through the MCU, and the background processor saves the image of the disposable medical instrument after storage in the background database;

[0128] When the disposable medical instrument is stored, the number ID of the disposable medical instrument is input, the basic storage information of the disposable medical instrument bound to the number ID of the disposable medical instrument is called from the background database and displayed on the front end, and the background administrator verifies the basic storage information of the disposable medical instrument to be stored.

[0129] As an optional embodiment of the present application, optionally, the application further comprises:

[0130] The background processor compares the images before and after storage based on an image AI recognition algorithm to determine whether the image after storage is consistent with the image before storage:

[0131] If not, it indicates that the disposable medical instrument to be stored is missing, and an alarm prompt information is sent to the front end; the missing image elements in the image after storage are extracted and sent to the front end synchronously with the alarm prompt information;

[0132] If consistent, a corresponding electric control instruction is sent to the electric handle of the storage unit.

[0133] Disposable medical instrument recycling robot based on AI recognition function and application method thereof

[0134] For the implementation of the above application method, please refer to the function of the robot in Example 1 for understanding. This example will not be repeated.

[0135] Obviously, those skilled in the art should understand that all or part of the processes in the above embodiments can be instructed by a computer program to relevant hardware, and the program can be stored in a computer readable storage medium, and the program can include the processes of the above embodiments when executed. Those skilled in the art can understand that all or part of the processes in the above embodiments can be instructed by a computer program to relevant hardware, and the program can be stored in a computer readable storage medium, and the program can include the processes of the above embodiments when executed. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid state drive (SSD), etc. The storage medium can also include a combination of the above types of memories.

[0136] Embodiment 3

[0137] As Figure 5 Further, another aspect of the present application also provides an electronic device, comprising:

[0138] a processor;

[0139] a memory for storing processor executable instructions;

[0140] wherein the processor is configured to implement the application method of the AI identification function-based complex instrument recycling robot when executing the executable instructions.

[0141] The electronic device of the embodiments of the present disclosure includes a processor and a memory for storing processor executable instructions. Wherein the processor is configured to implement the application method of the AI identification function-based complex instrument recycling robot when executing the executable instructions.

[0142] Here, it should be pointed out that the number of processors can be one or more. At the same time, the electronic device of the embodiments of the present disclosure can also include an input device and an output device. Wherein the processor, the memory, the input device and the output device can be connected through a bus, or can be connected through other ways, which is not limited here.

[0143] The memory, as a computer readable storage medium, can be used to store software programs, computer executable programs and various modules, such as programs or modules corresponding to the application method of the AI recognition function-based complex waste appliance recycling robot of the embodiments of the present disclosure. The processor executes the software programs or modules stored in the memory, thereby performing various function applications and data processing of the electronic device.

[0144] The input device can be used to receive input numbers or signals. Among them, the signal can be a key signal related to the user settings and function control of the device / terminal / server. The output device can include a display device such as a display screen.

[0145] The above has described the embodiments of the present disclosure, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes are obvious to those skilled in the art without departing from the scope and spirit of the described embodiments. The selection of the terms used herein is intended to best explain the principles, practical applications or technical improvements of the technology in the market of the embodiments, or to enable other ordinary skilled persons in the art to understand the embodiments disclosed herein.

Claims

1. A recycling robot for reusing medical devices based on AI recognition function, characterized in that, include: The MCU is used to respond to various control commands issued by the background processor and realize the logical control of various functional units of the robot. The walking mechanism is used to execute the walking command issued by the MCU and walk to a predetermined position; A storage unit, located on the walking mechanism, is used to execute the storage command issued by the MCU to store the re-extinguishing device; A visual camera, mounted on top of the storage unit via an adjustable bracket, is used to capture images of the re-disinfection device, acquiring before-and-after images of the device and forwarding them to the background processor via the MCU. The before-and-after images include images before and after storage. Specifically, the images before storage refer to the images captured by the visual camera before the re-disinfection device is used, and the images after storage refer to the images captured by the visual camera after the device is used, before it is transferred to the robot by the doctor and stored in the storage unit. The background processor is used to send control commands to the MCU for the walking mechanism, storage unit, and vision camera, and to receive and verify the before and after storage images of the re-disinfection device: upon receiving the before and after storage images of the re-disinfection device, it compares the images before and after storage based on an image AI recognition algorithm to determine whether the image after storage is consistent with the image before storage. If there is a discrepancy, it indicates that the re-disinfection device to be stored is lost. An alarm message is sent to the front end. At the same time, the missing image elements in the stored image are extracted and sent to the front end along with the alarm message to remind the back-end administrator of the lost re-disinfection device. If they match, the corresponding electric control command is sent to the electric handle of the storage unit to drive the storage unit to open, put in the used disinfection device, and then the robot will collect it. The walking mechanism, storage unit, and vision camera are electrically connected to the MCU, and the MCU is electrically connected to the background processor.

2. The AI-based recyclable waste disposal robot according to claim 1, characterized in that, The storage unit includes: Cabinet; The storage bin located inside the cabinet is used to store the re-disinfection equipment; An electric handle is provided on the cabinet body for installing the storage bin inside the cabinet body; The electric handle is electrically connected to the MCU and rotates under the electric control of the MCU, driving the storage bucket to tilt automatically.

3. The AI-based recyclable waste disposal robot according to claim 1, characterized in that, The background processor is also used for: Enter the serial number (ID) of the re-disinfection device and save the serial number (ID) of the re-disinfection device in the background database.

4. The AI-based recyclable waste disposal robot according to claim 1, characterized in that, The background processor is also used for: Enter the basic storage information of the re-disinfection device, save the basic storage information of the re-disinfection device in the background database and bind it under the ID number of the re-disinfection device; as well as, When storing the re-disinfection device, the device's ID number is entered, and the basic storage information of the re-disinfection device bound to the device's ID number is retrieved from the backend database and displayed on the front end, allowing the backend administrator to verify the basic storage information of the re-disinfection device to be stored.

5. The AI-based recyclable waste disposal robot according to claim 4, characterized in that, The background processor is also used for: Upon receiving the before and after images of the re-disinfection device, the images are saved in the background database and bound to the device's ID number. as well as, When storing the re-disinfection device, the device's ID number is entered, and the front and back images of the re-disinfection device bound to the device's ID number are retrieved from the background database.

6. An application method for a recycling robot for reusing medical devices based on AI recognition function, characterized in that, Includes the following steps: Enter the serial number (ID) of the re-disinfection device into the background processor and save the serial number (ID) of the re-disinfection device in the background database; Enter the basic storage information and the image before storage of the re-disinfection device, save the basic storage information and the image before storage of the re-disinfection device in the background database and bind it under the ID number of the re-disinfection device; Send control commands to the MCU for the walking mechanism, storage unit, and vision camera: The walking mechanism executes the walking command issued by the MCU and walks to the predetermined position; The vision camera captures images of the re-disinfection equipment to be stored, obtains images of the re-disinfection equipment after storage, and forwards them to the background processor through the MCU. The background processor then saves the images of the re-disinfection equipment after storage in the background database. When storing the re-disinfection device, the device's ID number is entered, and the basic storage information of the re-disinfection device bound to the device's ID number is retrieved from the backend database and displayed on the frontend so that the backend administrator can verify the basic storage information of the re-disinfection device to be stored. The background processor uses an image AI recognition algorithm to compare the image before and after storage to determine whether the stored image is consistent with the image before storage. If there is a discrepancy, it indicates that the re-disinfection device to be stored is missing, and an alarm message is sent to the front end; the missing image elements in the stored image are extracted and sent to the front end simultaneously with the alarm message; If they match, a corresponding electric control command is sent to the electric handle of the storage unit. Specifically, the images before storage refer to the images captured by the vision camera before the re-disinfection device is used, and the images after storage refer to the images captured by the vision camera after the re-disinfection device is used and before it is transferred to the robot and stored in the storage unit by the doctor.

7. An electronic device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to implement the application method of the AI-based recyclable waste disposal robot as described in claim 6 when executing the executable instructions.

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