Packaging device and method based on AI interaction control

Abstract

The application provides a packaging device and method based on AI interaction control, which comprises a film wrapping unit, a code scanning unit, an AI visual detection unit, an AI voice interaction unit and a main control unit. The main control unit is electrically connected with the film wrapping unit, the code scanning unit, the AI visual detection unit and the AI voice interaction unit respectively, and acquires the code scanning information, the motion image information and the voice control information. According to the code scanning information, the motion image information and the voice control information, the motion control information for the target motion of the film wrapping unit is output. The application can solve the technical problem that the code scanning, film wrapping and weighing in the packaging process are carried out in different areas, resulting in a long packaging process.

Description

Technical Field

[0001] This invention relates to the field of intelligent packaging technology, and in particular to a packaging device and method based on AI interactive control. Background Technology

[0002] In existing technologies, electronic products need to be packaged in batches for centralized storage after production and before warehousing. The current packaging process includes: after production, the products are neatly stacked on pallets, and each product's packaging is scanned individually using QR codes, barcodes, or other data carriers containing product information to check the accuracy of the batch information. Then, a forklift is used to transfer the entire pallet of products to a wrapping machine, where the products are wrapped in plastic film. Finally, a forklift is used to transfer the wrapped pallet of products to a weighing station for weighing. Throughout this process, the pallets and the products on them need to undergo scanning, wrapping, and weighing in three different areas. The connections between these processes are weak, each process requires a large amount of space for temporary product storage, requires personnel operation, and involves numerous transfers between processes, resulting in many unnecessary operations and a long overall packaging time. Summary of the Invention

[0003] This invention provides a packaging device based on AI interactive control to solve the technical problem that the packaging process in the prior art is time-consuming because scanning, wrapping and weighing are carried out in different areas.

[0004] This invention provides a packaging device based on AI interactive control, comprising: The wrapping unit includes a rotating support module and a lifting wrapping module installed on the ground. The rotating support module is used to support the pallet on which the products to be packaged are placed, weigh the pallet, and drive the pallet to rotate in place. The lifting wrapping module is located radially outside the rotating support module and is used to output film to wrap around the outside of the placed products when the pallet rotates in place. The scanning unit is installed on the radial outside of the rotating support module. It is used to scan the product located on the rotating support module to collect the label image and decode the QR code information. It also detects whether the product is abnormal based on the collected label image and the decoded QR code information and outputs the scanning information. The AI ​​visual detection unit is used to acquire motion images of the wrapping unit, detect whether the motion is abnormal based on the motion images, and output motion image information. The AI ​​voice interaction unit is used to acquire voice commands and output voice control information and interactive voice according to the voice commands. The main control unit is electrically connected to the wrapping unit, the scanning unit, the AI ​​visual detection unit, and the AI ​​voice interaction unit, respectively, and acquires the scanning information, the motion image information, and the voice control information. Based on the scanning information, the motion image information, and the voice control information, it outputs motion control information to enable the wrapping unit to perform the target motion.

[0005] In one embodiment of the present invention, the rotating support module includes a rotating mechanism, the output end of the rotating mechanism is connected to a weighing mechanism, the weighing mechanism is connected to a support plate, and the support plate serves as a weighing end for supporting a pallet on which products are stacked.

[0006] In one embodiment of the present invention, the lifting and wrapping module includes a support column, a lifting drive component, and a film clamping mechanism. The film clamping mechanism is vertically slidably connected to the support column, and the lifting drive component is connected to the support column. The lifting drive component drives the film clamping mechanism to slide vertically.

[0007] In one embodiment of the present invention, the wrapping unit further includes a PLC control module. The rotating support module and the lifting wrapping module are both connected to the PLC control module. The PLC control module is connected to the main control unit. The PLC control module acquires the motion control information and outputs motion control for the rotating support module and the lifting wrapping module according to the motion control information.

[0008] In one embodiment of the present invention, a support plate is connected to the side end of the support column. The scanning unit includes a wide-angle camera and an AI scanning module. The wide-angle camera is mounted on the support plate and is used to capture product images. At least two wide-angle cameras are arranged in parallel along the vertical direction. The wide-angle camera is connected to the AI ​​scanning module, which is connected to the main control unit. The AI ​​scanning module is used to acquire the product image, identify and locate the label based on the product image using an AI deep learning algorithm, read the label QR code information based on a QR code decoding algorithm, detect whether the product is abnormal, and output the scanning information to the main control unit.

[0009] In one embodiment of the present invention, the AI ​​visual detection unit includes a monitoring camera and an AI vision module. The monitoring camera is installed on the top of the support plate and is used to capture motion images of the wrapping unit. The monitoring camera is connected to the AI ​​vision module. The AI ​​vision module acquires the motion images and identifies the operation actions based on the motion images using an AI deep learning-based visual detection algorithm. It detects whether the actions are abnormal and outputs the motion image information to the main control unit.

[0010] In one embodiment of the present invention, the AI ​​voice interaction unit includes a voice acquisition component, a voice output component, and an AI voice module. The voice acquisition component and the voice output component are mounted on the top of the support plate and connected to the AI ​​voice module. The voice acquisition component is used to acquire voice commands. The AI ​​voice module outputs the voice control information to the main control unit based on the voice commands and an AI voice big model, and outputs the interactive voice to the voice output component.

[0011] In one embodiment of the present invention, the packaging device further includes a Kanban unit, which is connected to the main control unit. When the scanning unit detects a product abnormality, the main control unit outputs abnormal image information to the Kanban unit based on the scanning information.

[0012] This invention also provides a packaging method based on AI interactive control, comprising: The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs the action control information to the PLC control module according to the voice control information. The PLC control module outputs rotation commands to the rotating mechanism according to the action control information, so that the rotating mechanism performs a rotation action at a target speed and a target angle. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs a scanning command to the scanning unit according to the voice control information. The scanning unit scans and detects the product according to the scanning command. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs the action control information to the PLC control module. The PLC control module outputs a weighing command to the weighing mechanism according to the action control information. The weighing mechanism feeds back the weighing data to the main control unit through the PLC control module. After obtaining the weighing data, the main control unit outputs the weighing data information to the display unit. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs the action control information to the PLC control module according to the voice control information. The PLC control module outputs the action control information to the lifting and wrapping module according to the action control information. The lifting and wrapping module executes the film lifting and lowering action according to the action control information. The monitoring camera captures motion images of the rotation and film lifting actions. The AI ​​vision module acquires these motion images, uses a deep learning vision detection algorithm to identify the work actions, detects whether the actions are abnormal, and outputs the motion image information to the main control unit. The main control unit then outputs a stop command to the PLC control module or a voice interaction command to the AI ​​voice interaction unit based on the motion image information.

[0013] In one embodiment of the present invention, the scanning unit performs barcode scanning detection on the product according to the scanning instruction, including: The product image is captured by the wide-angle camera, the product image is obtained by the AI ​​scanning module, and the label is identified and located based on the product image using an AI deep learning algorithm. The label QR code information is read based on the QR code decoding algorithm, the product is detected for abnormality, and the scanning information is output to the main control unit. If the scanned information is yes, the main control unit outputs abnormal image data and motion control information. The Kanban unit acquires the abnormal image data and displays the abnormal product image. The PLC controller acquires the motion control information and outputs a rotation command to the rotating mechanism according to the motion control information, so that the rotating mechanism performs a rotation action at a target speed and a target angle.

[0014] The principle of this invention includes: integrating the packaging process through multi-functional integration and AI intelligent interactive control, combining scanning, wrapping, and weighing functions in the same working area. During operation, the pallet holding the products is placed directly on the rotating support module of the wrapping unit. This module has both weighing and rotation functions, simultaneously collecting weight and rotating the pallet in place, working with the wrapping unit to complete the wrapping and packaging. The scanning unit, installed on the outside of the rotating support module, uses the rotation of the pallet to achieve lateral full-angle visual scanning of the products. Through image acquisition and QR code decoding algorithms, it automatically completes product information recognition and anomaly detection, replacing traditional manual scanning and significantly shortening scanning time. The main control unit, as the core hub, receives scanning information from the scanning unit, weighing data from the rotating support module, motion monitoring information from the AI ​​visual detection unit, and voice commands transmitted from the AI ​​voice interaction unit in real time. After comprehensive judgment, it outputs control signals to the wrapping unit, driving the lifting wrapping module to complete the film wrapping operation during the pallet rotation. Meanwhile, the AI ​​visual detection unit monitors the wrapping action in real time to check for any abnormalities, while the AI ​​voice interaction unit receives instructions and broadcasts the work status. Operators can control the main actions of wrapping and packaging through voice interaction.

[0015] The beneficial effects of this invention include: 1. Achieve integration of three stations into one, and integrate core work processes: integrate the traditionally scattered scanning, wrapping, and weighing operations in three areas into a single device. The pallets do not need to be transferred between different workstations, which completely changes the independent operation mode of each process and forms an integrated packaging system.

[0016] 2. Visual automatic barcode scanning replaces manual scanning: Through the visual recognition and automatic decoding technology of the scanning unit, it replaces the manual operation of scanning each item one by one, which not only avoids the omissions of manual operation, but also greatly improves the efficiency and accuracy of barcode scanning.

[0017] 3. AI intelligent interaction enhances operation and control: The AI ​​voice interaction unit supports voice command control of equipment start and stop, and with the operation status broadcast, operators do not need to manually operate buttons at close range, reducing operation complexity; the AI ​​vision detection unit monitors abnormal wrapping actions in real time, and combined with the voice unit, issues timely safety reminders to reduce operation risks, while realizing intelligent control of the entire packaging process, improving operation standardization and safety.

[0018] 4. Reduce the number of handling operations: The pallet only needs to be placed on the rotating support module once to complete all core operations. There is no need to transfer the pallet multiple times between the scanning, wrapping, and weighing areas using forklifts or other equipment, which reduces the manpower and time consumption in the handling process.

[0019] 5. Reduced space usage: It eliminates the need for the traditional layout of three independent workstations, and only requires a single work area to realize multiple processes, which significantly reduces the space required for the packaging process and improves the utilization rate of the production site.

[0020] 6. Improve operational efficiency and shorten process time: Integrated operation and automated operation reduce the waiting time between processes, avoid unnecessary operation steps, make the entire packaging process more compact and efficient, and significantly shorten the packaging cycle of a single batch of products.

[0021] 7. Reduce labor costs: Except for equipment startup and troubleshooting, scanning, weighing and other processes do not require manual intervention, reducing the need for operators and lowering the company's labor management costs. Attached Figure Description

[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0023] In the attached diagram: Figure 1This is a schematic diagram of the structure of a packaging device based on AI interactive control according to an embodiment of the present invention; Figure 2 This is a control logic diagram of a packaging method based on AI interactive control in one embodiment of the present invention.

[0024] The attached figures are labeled as follows: Rotating support module 1, support plate 101, lifting and wrapping module 2, support column 201, lifting drive component 202, film clamping mechanism 203, support plate 204, barcode scanning unit 3, AI visual inspection unit 4, AI voice interaction unit 5, pallet 6, and signboard unit 7. Detailed Implementation

[0025] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0026] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0027] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0028] Please see Figure 1 , Figure 1 A packaging device based on AI interactive control, provided in one embodiment of the present invention, includes: The wrapping unit includes a rotating support module 1 and a lifting wrapping module 2 installed on the ground. The rotating support module 1 is used to support the pallet 6 on which the products to be packaged are placed, weigh the pallet 6, and drive the pallet 6 to rotate in place. The lifting wrapping module 2 is located on the radial outside of the rotating support module 1 and is used to output film to wrap around the outside of the placed products when the pallet 6 rotates in place. The scanning unit 3 is installed on the radial outer side of the rotating support module 1. It is used to scan the product located on the rotating support module 1 to collect the label image and decode the QR code information. It also detects whether the product is abnormal based on the collected label image and the decoded QR code information and outputs the scanning information. AI visual detection unit 4 is used to acquire motion images of the wrapping unit, detect whether the motion is abnormal based on the motion images, and output motion image information. AI voice interaction unit 5 is used to acquire voice commands and output voice control information and interactive voice according to the voice commands; The main control unit is electrically connected to the wrapping unit, the barcode scanning unit 3, the AI ​​visual detection unit 4, and the AI ​​voice interaction unit 5, respectively. It acquires barcode scanning information, motion image information, and voice control information, and outputs motion control information to enable the wrapping unit to perform the target action based on the barcode scanning information, motion image information, and voice control information.

[0029] This embodiment is based on the modification of an existing wrapping machine. The wrapping unit is modified by adding a weighing function to the turntable, while the other structures of the wrapping unit are the same as those of the existing wrapping machine. The main control unit of this embodiment adopts an MES system, which performs data interaction and collaborative control of the wrapping unit, the barcode scanning unit 3, the AI ​​visual inspection unit 4, and the AI ​​voice interaction unit 5.

[0030] In one embodiment of the present invention, the rotating support module 1 includes a rotating mechanism, the output end of which is connected to a weighing mechanism, and the weighing mechanism is connected to a support plate 101. The support plate 101 serves as the weighing end for supporting the pallet 6 on which the products are stacked.

[0031] In this embodiment, the weighing mechanism and the support plate 101 are driven to rotate as a whole by the rotating mechanism, which ensures that the support plate 101 drives the pallet 6 and the products on it to rotate, and can complete the weighing operation, realizing the weighing and rotation of the pallet 6 and the products on it. The structure is compact and the operation is stable and reliable.

[0032] In one embodiment of the present invention, the lifting and wrapping module 2 includes a support column 201, a lifting drive component 202 and a film clamping mechanism 203. The film clamping mechanism 203 is vertically slidably connected to the support column 201, and the lifting drive component 202 is connected to the support column 201. The lifting drive component 202 drives the film clamping mechanism 203 to slide vertically.

[0033] In this embodiment, the structure of the lifting and wrapping module 2 is the same as that of the existing wrapping machine. Specifically, the lifting drive 202 adopts an electric push rod. During operation, the film is rolled up and clamped in the film clamping mechanism 203, and can rotate when the film is pulled up, so that the film can be freely pulled up for wrapping.

[0034] In one embodiment of the present invention, the wrapping unit further includes a PLC control module. The rotating support module 1 and the lifting wrapping module 2 are both connected to the PLC control module. The PLC control module is connected to the main control unit. The PLC control module acquires motion control information and outputs motion control for the rotating support module 1 and the lifting wrapping module 2 according to the motion control information.

[0035] In this embodiment, the PLC control module is a PLC controller. The rotating support module 1 and the lifting wrapping module 2 are linked and controlled by the PLC control module. The MES system interacts with the PLC controller to control the rotation speed and rotation angle of the support plate 101, and to control the lifting of the film clamping mechanism 203. This allows the rotating support module 1 and the lifting wrapping module 2 to work together to wrap and pack the products stacked on the pallet 6.

[0036] In one embodiment of the present invention, a support plate 204 is connected to the side end of the support column 201. The scanning unit 3 includes a wide-angle camera and an AI scanning module. The wide-angle camera is mounted on the support plate 204 and is used to capture product images. At least two wide-angle cameras are arranged in parallel along the vertical direction. The wide-angle camera is connected to the AI ​​scanning module, which is connected to the main control unit. The AI ​​scanning module is used to acquire product images, identify and locate labels based on AI deep learning algorithms based on the product images, read the label QR code information based on the QR code decoding algorithm, detect whether the product is abnormal, and output scanning information to the main control unit.

[0037] In this embodiment, the wide-angle camera is an ultra-high-definition wide-angle camera, capable of capturing cleaning images of several products stacked on top of each other. The AI ​​scanning module, based on an AI deep learning visual detection algorithm, judges whether the product data carrier code information matches the product, and directly outputs the judgment result as the scanning information. This eliminates the need for manual scanning and judgment, reducing scanning time and thus shortening packaging time.

[0038] In one embodiment of the present invention, the AI ​​vision detection unit 4 includes a monitoring camera and an AI vision module. The monitoring camera is installed on the top of the support plate 204 and is used to collect motion images of the wrapping unit. The monitoring camera is connected to the AI ​​vision module. The AI ​​vision module acquires the motion images and identifies the operation actions based on the motion images using an AI deep learning-based visual detection algorithm. It detects whether the actions are abnormal and outputs the motion image information to the main control unit.

[0039] In this embodiment, the AI ​​vision detection unit 4 performs action recognition and safety recognition on the wrapping operation process. Compared with manual visual recognition and judgment, it is more intelligent, more efficient and provides more timely feedback, thus making the operation safer.

[0040] In one embodiment of the present invention, the AI ​​voice interaction unit 5 includes a voice acquisition component, a voice output component, and an AI voice module. The voice acquisition component and the voice output component are installed on the top of the support plate 204 and are connected to the AI ​​voice module. The voice acquisition component is used to acquire voice commands. The AI ​​voice module outputs voice control information to the main control unit based on the voice commands and the AI ​​voice big model, and outputs interactive voice to the voice output component.

[0041] In this embodiment, the AI ​​voice interaction unit 5 interacts with the operator via voice, and works in conjunction with the AI ​​visual inspection unit 4 and the MES system for process control. The voice interaction enables the equipment to be turned on and off, and provides reminders for the work process and safety, making the wrapping and packaging operation more intelligent and efficient.

[0042] In one embodiment of the present invention, the packaging device further includes a Kanban unit 7, which is connected to the main control unit. When the barcode scanning unit 3 detects a product abnormality, the main control unit outputs abnormal image information to the Kanban unit 7 based on the barcode scanning information.

[0043] In this embodiment, the Kanban unit 7 can provide real-time feedback of work information, enabling operators to keep track of the work process and abnormal information in real time. This allows for timely human intervention to correct any abnormalities, making the packaging process visually controllable and more conducive to high-quality and efficient packaging operations.

[0044] This invention also provides a packaging method based on AI interactive control, such as... Figure 2 As shown, it includes: S1. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs action control information to the PLC control module according to the voice control information. The PLC control module outputs rotation commands to the rotating mechanism according to the action control information, so that the rotating mechanism performs rotation action at the target speed and target angle.

[0045] S2. Operators input voice commands through the AI ​​voice interaction unit, and output voice control information according to the voice commands. The main control unit obtains the voice control information and outputs scanning commands to the scanning unit according to the voice control information. The scanning unit scans and detects the product according to the scanning commands.

[0046] The scanning unit performs barcode scanning and detection on the product according to the scanning instructions, including: The system captures product images using a wide-angle camera, obtains product images through an AI scanning module, and identifies and locates labels based on the product images using an AI deep learning algorithm. It then reads the label's QR code information using a QR code decoding algorithm, detects product information, and determines whether the label's QR code information matches the product information. If they match, the system is considered normal; otherwise, it is considered abnormal. The abnormality status is then output as scanning information to the main control unit. If the scanned information is positive, the main control unit outputs abnormal image data and motion control information. The Kanban unit obtains the abnormal image data and displays the abnormal product image. The PLC controller obtains the motion control information and outputs a rotation command to the rotating mechanism according to the motion control information, so that the rotating mechanism performs a rotation action at the target speed and target angle, enabling the operator to find the abnormal product among the stacked products based on the abnormal product image displayed by the halving unit. If the scanned information is negative, continue scanning.

[0047] S3. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs action control information to the PLC control module. The PLC control module outputs weighing commands to the weighing mechanism according to the action control information. The weighing mechanism feeds back the weighing data to the main control unit through the PLC control module. After obtaining the weighing data, the main control unit outputs the weighing data information to the display unit.

[0048] S4. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs action control information to the PLC control module according to the voice control information. The PLC control module outputs action control information to the lifting and wrapping module according to the action control information. The lifting and wrapping module executes the film lifting and lowering action according to the action control information.

[0049] S5. The monitoring camera captures motion images of the rotation and film lifting actions. The AI ​​vision module acquires the motion images and uses a deep learning vision detection algorithm to identify the operation actions, detect whether the actions are abnormal, and outputs the motion image information to the main control unit. The main control unit outputs a stop command to the PLC control module based on the motion image information. The PLC control module controls the rotating support module and the lifting film wrapping module to execute the stop command. Alternatively, the main control unit outputs voice interaction commands to the AI ​​voice interaction unit based on the motion image information. The AI ​​voice interaction unit then outputs interactive voice commands, and the operator receives these voice commands and performs manual intervention.

[0050] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A packaging device based on AI interactive control, characterized in that, include: The wrapping unit includes a rotating support module and a lifting wrapping module installed on the ground. The rotating support module is used to support the pallet on which the products to be packaged are placed, weigh the pallet, and drive the pallet to rotate in place. The lifting wrapping module is located radially outside the rotating support module and is used to output film to wrap around the outside of the placed products when the pallet rotates in place. The scanning unit is installed on the radial outside of the rotating support module. It is used to scan the product located on the rotating support module to collect the label image and decode the QR code information. It also detects whether the product is abnormal based on the collected label image and the decoded QR code information and outputs the scanning information. The AI ​​visual detection unit is used to acquire motion images of the wrapping unit, detect whether the motion is abnormal based on the motion images, and output motion image information. The AI ​​voice interaction unit is used to acquire voice commands and output voice control information and interactive voice according to the voice commands. The main control unit is electrically connected to the wrapping unit, the scanning unit, the AI ​​visual detection unit, and the AI ​​voice interaction unit, respectively, and acquires the scanning information, the motion image information, and the voice control information. Based on the scanning information, the motion image information, and the voice control information, it outputs motion control information to enable the wrapping unit to perform the target motion.

2. The packaging device based on AI interactive control according to claim 1, characterized in that: The rotating support module includes a rotating mechanism, the output end of which is connected to a weighing mechanism, and the weighing mechanism is connected to a support plate. The support plate serves as the weighing end and is used to support a pallet on which products are stacked.

3. The packaging device based on AI interactive control according to claim 2, characterized in that: The lifting and wrapping module includes a support column, a lifting drive component, and a film clamping mechanism. The film clamping mechanism is vertically slidably connected to the support column, and the lifting drive component is connected to the support column. The lifting drive component drives the film clamping mechanism to slide vertically.

4. The packaging device based on AI interactive control according to claim 3, characterized in that: The wrapping unit also includes a PLC control module. The rotating support module and the lifting wrapping module are both connected to the PLC control module. The PLC control module is connected to the main control unit. The PLC control module acquires the motion control information and outputs motion control for the rotating support module and the lifting wrapping module according to the motion control information.

5. A packaging device based on AI interactive control according to claim 4, characterized in that: The support column is connected to a support plate at its side end. The scanning unit includes a wide-angle camera and an AI scanning module. The wide-angle camera is mounted on the support plate and is used to capture product images. At least two wide-angle cameras are arranged vertically side by side. The wide-angle camera is connected to the AI ​​scanning module, which is connected to the main control unit. The AI ​​scanning module is used to acquire the product image, identify and locate the label based on the product image using an AI deep learning algorithm, read the label QR code information based on a QR code decoding algorithm, detect whether the product is abnormal, and output the scanning information to the main control unit.

6. A packaging device based on AI interactive control according to claim 5, characterized in that: The AI ​​visual detection unit includes a monitoring camera and an AI vision module. The monitoring camera is installed on the top of the support plate and is used to capture motion images of the wrapping unit. The monitoring camera is connected to the AI ​​vision module. The AI ​​vision module acquires the motion images and identifies the operation actions based on the motion images using an AI deep learning-based visual detection algorithm. It detects whether the actions are abnormal and outputs the motion image information to the main control unit.

7. A packaging device based on AI interactive control according to claim 6, characterized in that: The AI ​​voice interaction unit includes a voice acquisition component, a voice output component, and an AI voice module. The voice acquisition component and the voice output component are installed on the top of the support plate and connected to the AI ​​voice module. The voice acquisition component is used to acquire voice commands. The AI ​​voice module outputs the voice control information to the main control unit based on the voice command and the AI ​​voice big model, and outputs the interactive voice to the voice output component.

8. A packaging device based on AI interactive control according to claim 1, characterized in that: The packaging device also includes a Kanban unit, which is connected to the main control unit. When the scanning unit detects a product abnormality, the main control unit outputs abnormal image information to the Kanban unit based on the scanning information.

9. A packaging method based on AI interactive control, applied to the packaging device according to any one of claims 1-8, characterized in that, include: The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs the action control information to the PLC control module according to the voice control information. The PLC control module outputs rotation commands to the rotating mechanism according to the action control information, so that the rotating mechanism performs a rotation action at a target speed and a target angle. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs a scanning command to the scanning unit according to the voice control information. The scanning unit scans and detects the product according to the scanning command. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs the action control information to the PLC control module. The PLC control module outputs a weighing command to the weighing mechanism according to the action control information. The weighing mechanism feeds back the weighing data to the main control unit through the PLC control module. After obtaining the weighing data, the main control unit outputs the weighing data information to the display unit. The operator inputs voice commands through the AI ​​voice interaction unit and outputs voice control information according to the voice commands. The main control unit obtains the voice control information and outputs the action control information to the PLC control module according to the voice control information. The PLC control module outputs the action control information to the lifting and wrapping module according to the action control information. The lifting and wrapping module executes the film lifting and lowering action according to the action control information. The monitoring camera captures motion images of the rotation and film lifting actions. The AI ​​vision module acquires these motion images, uses a deep learning vision detection algorithm to identify the work actions, detects whether the actions are abnormal, and outputs the motion image information to the main control unit. The main control unit then outputs a stop command to the PLC control module or a voice interaction command to the AI ​​voice interaction unit based on the motion image information.

10. A packaging method based on AI interactive control according to claim 9, characterized in that, The scanning unit performs barcode scanning and detection on the product according to the scanning instruction, including: The product image is captured by the wide-angle camera, the product image is obtained by the AI ​​scanning module, and the label is identified and located based on the product image using an AI deep learning algorithm. The label QR code information is read based on the QR code decoding algorithm, the product is detected for abnormality, and the scanning information is output to the main control unit. If the scanned information is yes, the main control unit outputs abnormal image data and motion control information. The Kanban unit acquires the abnormal image data and displays the abnormal product image. The PLC controller acquires the motion control information and outputs a rotation command to the rotating mechanism according to the motion control information, so that the rotating mechanism performs a rotation action at a target speed and a target angle.

Images