Self-adaptive sheet pasting mechanism based on vision

Abstract

The utility model relates to the technical field of automatic sheet pasting, in particular to a vision-based self-adaptive sheet pasting mechanism, which comprises a visual identification module, a self-adaptive control system, a multi-dimensional mobile platform, a flexible sheet pasting device and a real-time feedback system, the visual identification module is connected with the self-adaptive control system through a network interface, the self-adaptive control system is connected with the multi-dimensional mobile platform through a control signal line, the multi-dimensional mobile platform is mechanically and electrically connected with the flexible sheet pasting device, and the flexible sheet pasting device is connected with the real-time feedback system through a sensor line and a data interface. The real-time feedback system is connected with the self-adaptive control system through a data line, and through the connection, an efficient communication network is formed among the modules, so that rapid flow and real-time processing of information are ensured, the overall working efficiency is improved, and the intellectualization and response capability of the system are enhanced.

Description

Technical Field

[0001] The utility model relates to the technical field of automatic labeling, in particular to a vision-based self-adaptive labeling mechanism. Background Art

[0002] In modern production lines, labeling is a crucial step in enhancing product value. Existing labeling equipment, which mostly relies on fixed templates and manual adjustments, is ineffective for handling items of varying types, sizes, and surface characteristics. This traditional method not only results in inefficient labeling but also frequently leads to mislabeling and missed labels, increasing production costs and wasting human resources.

[0003] Therefore, there is an urgent need for a new type of labeling mechanism to improve the intelligence and automation level of labeling. Utility Model Content

[0004] The purpose of the present invention is to provide a vision-based adaptive labeling mechanism to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a vision-based adaptive labeling mechanism, including a visual recognition module, an adaptive control system, a multi-dimensional mobile platform, a flexible labeling device and a real-time feedback system; the visual recognition module is connected to the adaptive control system through a network interface, and the visual recognition module outputs the captured object feature information (such as shape, size, labeling area, etc.) to the adaptive control system, and the adaptive control system is connected to the multi-dimensional mobile platform through a control signal line. The adaptive control system calculates the optimal labeling position and angle based on the recognition data, and sends the control instruction to the multi-dimensional mobile platform. The multi-dimensional mobile platform is connected to the flexible labeling device through mechanical and electrical means. After the multi-dimensional mobile platform moves to the designated position, it is connected to the flexible labeling device to ensure that the labeling head can accurately When the target position is reached and the multi-dimensional mobile platform arrives at the position, it will send a signal to the flexible label-sticking device, instructing it to start the label-sticking operation. The flexible label-sticking device is connected to the real-time feedback system through the sensor line and the data interface. After executing the label sticking, the flexible label-sticking device will feedback the effect information of the label sticking (such as whether it is successful, the quality of the sticking, etc.) to the real-time feedback system. The real-time feedback system is connected to the adaptive control system through the data line. The real-time feedback system will return the monitored label sticking effect and quality information to the adaptive control system to make certain adjustments. Through the above connection, an efficient communication network is formed between the modules to ensure the rapid flow and real-time processing of information, which not only improves the overall work efficiency, but also enhances the intelligence and responsiveness of the system, making the entire label-sticking process more accurate and reliable.

[0006] Compared with existing technologies, this patented system offers the following benefits: Through the close integration and coordinated operation of its modules, it achieves the following technical benefits: Improved labeling efficiency: Reduced manual intervention, automated processing. Enhanced adaptability and flexibility: Capable of handling a wide variety of items to meet diverse labeling requirements. Guaranteed labeling accuracy and quality: Real-time monitoring and feedback ensure accurate labeling of each label. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 This is an architecture diagram of a vision-based adaptive labeling mechanism. DETAILED DESCRIPTION

[0008] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features therein can be combined with each other.

[0009] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, features defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0010] In the description of this utility model, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections; direct connections, indirect connections through an intermediate medium, and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in this utility model based on specific circumstances.

[0011] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0012] See also Figure 1, a vision-based adaptive labeling mechanism, including a visual recognition module, an adaptive control system, a multi-dimensional mobile platform, a flexible labeling device and a real-time feedback system; the visual recognition module is connected to the adaptive control system through a network interface, and the visual recognition module outputs the captured object feature information (such as shape, size, labeling area, etc.) to the adaptive control system, and the adaptive control system is connected to the multi-dimensional mobile platform through a control signal line. The adaptive control system calculates the optimal labeling position and angle based on the recognition data, and sends the control command to the multi-dimensional mobile platform. The multi-dimensional mobile platform is connected to the flexible labeling device through mechanical and electrical means. After the multi-dimensional mobile platform moves to the designated position, it is connected to the flexible labeling device to ensure that the labeling head can accurately reach the target position. At the same time, the multi-dimensional mobile platform After the mobile platform arrives at the location, it will send a signal to the flexible label-sticking device, instructing it to start the label-sticking operation. The flexible label-sticking device is connected to the real-time feedback system through the sensor line and the data interface. After executing the label-sticking, the flexible label-sticking device will feedback the effect information of the label-sticking (such as whether it is successful, the quality of the labeling, etc.) to the real-time feedback system. The real-time feedback system is connected to the adaptive control system through the data line. The real-time feedback system will return the monitored label-sticking effect and quality information to the adaptive control system to make certain adjustments. Through the above connection, an efficient communication network is formed between the modules to ensure the rapid flow and real-time processing of information, which not only improves the overall work efficiency, but also enhances the intelligence and responsiveness of the system, making the entire label-sticking process more accurate and reliable.

[0013] In the embodiment of the present invention, the signal transmission type between the visual recognition module and the adaptive control system is: digital signal, that is, image-processed data;

[0014] Signal types transmitted between the adaptive control system and the multi-dimensional mobile platform:

[0015] Digital or analog signals, specific instructions may include moving distance, direction, speed, etc.

[0016] Operation signals transmitted between the multi-dimensional mobile platform and the flexible labeling device: When the mobile platform reaches the location, it will send a signal to the flexible labeling device to instruct it to start the labeling operation;

[0017] The types of signals transmitted between the flexible labeling device and the real-time feedback system: status signals and digital data (such as lamination angle, pressure, etc.);

[0018] The type of signal transmitted between the real-time feedback system and the adaptive control system: a digital signal, usually including status and quality assessment data of success or failure.

[0019] In one embodiment of the present invention, the visual recognition module includes a camera and an image processing unit. The camera adopts a high-resolution structure to capture images of objects and is usually equipped with a light source to improve recognition accuracy. The image processing unit integrates a processor to run an image recognition algorithm to convert the captured images into useful data. Specifically, when an object is placed in front of the labeling mechanism, the camera captures the object image, and the image processing unit analyzes the image to identify the shape, size, and features of the object and determine the optimal labeling area.

[0020] The adaptive control system includes a PLC control unit and an intelligent algorithm module. The PLC control unit is responsible for receiving the output data of the visual module and performing logical judgment and control. The intelligent algorithm module automatically calculates the labeling position, angle and related parameters based on the recognition data. After receiving the item feature data transmitted by the visual recognition module, the control system uses the intelligent algorithm to calculate the optimal labeling position and angle, while also monitoring the status of other modules in real time to ensure the smoothness of the entire labeling process.

[0021] The multi-dimensional mobile platform includes an electric drive unit and a positioning sensor. The electric drive unit includes a motor and transmission mechanism, enabling three-dimensional movement in X, Y, and Z directions. The positioning sensor monitors the platform's position in real time to ensure accurate positioning. Upon receiving instructions from the adaptive control system, the multi-dimensional mobile platform accurately moves to the designated sticker location based on the calculated sticker location and angle. The positioning sensor provides real-time feedback on the multi-dimensional mobile platform's position to ensure it remains at the desired location.

[0022] The flexible labeling device includes a labeling head and a material supply system. The labeling head can be driven by pneumatic or electric power and can perform different labeling methods (such as pressing, spraying, etc.). The material supply system ensures a stable supply of labels and can select the appropriate label according to the characteristics of the item.

[0023] After the multi-dimensional mobile platform arrives at the designated position, the flexible labeling device performs the labeling operation according to the instructions of the adaptive control system. Under the command of the system, the labeling head adjusts the labeling angle and pressure to ensure the accurate attachment of the label.

[0024] The real-time feedback system includes feedback sensors: used to monitor the status of the labeling process, such as labeling position, labeling quality, etc.; data recording module: records various data during the labeling process for subsequent analysis and adjustment.

[0025] During the labeling process, the feedback sensor monitors the label attachment effect in real time and returns the data to the adaptive control system. The adaptive control system makes adjustments based on the feedback information to ensure the quality of labeling and readjusts the labeling position or angle if necessary.

[0026] The working principle of the present invention is as follows: In the idle space of the device, all the driving parts mentioned above, which refer to the power elements, electrical components and the adapted power supply, are connected through wires, and the electrical connections are completed in sequence. The detailed connection means are well known in the art. The following mainly introduces the working principle and process, and does not explain the electrical control.

[0027] Item recognition: When an item is placed in front of the labeling mechanism, the visual recognition module automatically captures the image and uses algorithms to analyze the shape, size, and surface features of the item;

[0028] Data processing and adaptive adjustment: After receiving the recognition data, the adaptive control system automatically calculates the optimal labeling position and angle, and adjusts the height of the labeling head;

[0029] Execute labeling: The multi-dimensional mobile platform moves precisely to the designated position according to the instructions of the control system, and the flexible labeling device executes the labeling operation;

[0030] Quality monitoring and feedback: Real-time monitoring of labeling results to ensure accurate labeling and automatic adjustments when necessary.

[0031] The preferred embodiments of the present invention are described in detail above, but the present invention is not limited to the above embodiments. Various changes can be made within the knowledge of ordinary technicians in this field without departing from the purpose of the present invention.

Claims

1. A vision-based adaptive labeling mechanism, characterized in that: It includes a visual recognition module, an adaptive control system, a multi-dimensional mobile platform, a flexible label-sticking device and a real-time feedback system; the visual recognition module is connected to the adaptive control system through a network interface, the adaptive control system is connected to the multi-dimensional mobile platform through a control signal line, the multi-dimensional mobile platform is connected to the flexible label-sticking device through mechanical and electrical means, the flexible label-sticking device is connected to the real-time feedback system through a sensor line and a data interface, and the real-time feedback system is connected to the adaptive control system through a data line.

2. The vision-based adaptive labeling mechanism according to claim 1, characterized in that: The signal transmission type between the visual recognition module and the adaptive control system is a digital signal; The type of signal transmitted between the adaptive control system and the multi-dimensional mobile platform: digital or analog signal; The multi-dimensional mobile platform and the flexible labeling device transmit an operation signal: when the mobile platform reaches the location, it sends a signal to the flexible labeling device to instruct it to start the labeling operation; The transmission signal type between the flexible labeling device and the real-time feedback system: status signal and digital data; The type of transmission signal between the real-time feedback system and the adaptive control system: digital signal.

3. The vision-based adaptive labeling mechanism according to claim 2, characterized in that: The visual recognition module includes a camera and an image processing unit. The camera adopts a high-resolution structure, and the image processing unit integrates a processor.

4. The vision-based adaptive labeling mechanism according to claim 3, characterized in that: The adaptive control system includes a PLC control unit and an intelligent algorithm module.

5. The vision-based adaptive labeling mechanism according to claim 4, characterized in that: The multi-dimensional mobile platform includes an electric drive device and a positioning sensor; the electric drive device includes a motor and a transmission mechanism.

6. The vision-based adaptive labeling mechanism according to claim 5, characterized in that: The flexible label pasting device includes a label pasting head and a material supply system; the label pasting head is pneumatically or electrically driven.

7. The vision-based adaptive labeling mechanism according to claim 6, characterized in that: The real-time feedback system includes a feedback sensor.

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