Commodity scanning identification device for assisting AI intelligent erp system

By using a scanning stage made of low-reflection material, a high-precision linear guide rail, an optical compensation device, and a high-sensitivity image acquisition module in the product scanning and recognition equipment, the problem of misjudgment caused by complex textures and reflective materials on the surface of product packaging has been solved, achieving efficient and accurate product recognition.

CN223486539UActive Publication Date: 2025-10-28RUIYU TIANWEN (BEIJING) INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202423105196.9
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-12-16
Publication Date
2025-10-28
Estimated Expiration
2034-12-16

AI Technical Summary

Technical Problem

The complex textures and reflective materials on the surface of product packaging can cause misjudgments by the image recognition module during high-speed scanning, affecting the accuracy of recognition and system efficiency.

Method used

The product scanning stage uses low-reflection materials, high-definition high-precision linear guides, optical compensation devices, adjustable light shields, and high-sensitivity image acquisition modules. Combined with a precise transmission mechanism, it optimizes the light path and reduces the influence of external light, ensuring the stability and accuracy of image acquisition.

Benefits of technology

It effectively solves the problem of misjudgment caused by complex textures and reflective materials on the surface of product packaging, improves the accuracy and efficiency of product scanning and recognition, and ensures high-quality image recognition and stable system operation.

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Abstract

The embodiment of the utility model provides commodity scanning identification equipment for assisting an AI intelligent ERP system. The commodity scanning identification equipment comprises a commodity scanning table; the high-precision linear sliding rail is arranged on one side of the scanning table; the optical compensation device is mounted on the high-precision linear sliding rail and is perpendicular to the scanning table; the image acquisition module is mounted at the front end of the optical compensation device and is connected with the high-precision linear slide rail; the adjustable light shield is mounted above the scanning table, covers the image acquisition module and is used for reducing the influence of external ambient light on scanning; the transmission mechanism is arranged at one end of the high-precision linear sliding rail and used for driving the high-precision linear sliding rail and components on the optical compensation device to move synchronously. Through the scheme of the embodiment of the invention, the problem that the image recognition module generates misjudgment during high-speed scanning due to complex textures and reflective materials on the surface of a commodity package can be solved.
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Description

Technical Field

[0001] This application relates to the field of retail equipment technology, specifically to a product scanning and recognition device that assists an AI intelligent ERP system. Background Technology

[0002] Product scanning and recognition equipment assisting AI-powered intelligent ERP systems is primarily used to achieve efficient product management within enterprise resource planning (ERP) systems. By integrating advanced image recognition technology, it can quickly and accurately read and identify product information, thereby improving the efficiency of logistics and warehousing management. However, this equipment faces a technical challenge in practical applications: the surface of product packaging may have complex textures and reflective materials, which can cause misjudgments by the image recognition module during high-speed scanning, thus affecting the accuracy of recognition and the system's efficiency. Summary of the Invention

[0003] In view of this, the present disclosure provides a product scanning and recognition device to assist an AI intelligent ERP system, which at least partially solves the problems existing in the prior art.

[0004] This application discloses a product scanning and recognition device for assisting an AI-powered intelligent ERP system, comprising:

[0005] A product scanning station is used to place products to be scanned.

[0006] A high-precision linear guide rail is provided on one side of the scanning stage to drive the scanning unit to move smoothly along a predetermined path;

[0007] An optical compensation device is mounted on the high-precision linear slide rail and is set perpendicular to the scanning stage to adjust the light.

[0008] An image acquisition module is installed at the front end of the optical compensation device and connected to the high-precision linear slide rail, used to acquire product images during the scanning process;

[0009] An adjustable light shield is installed above the scanning stage, covering the image acquisition module, to reduce the influence of external ambient light on the scanning process;

[0010] A transmission mechanism, located at one end of the high-precision linear slide rail, is used to drive the high-precision linear slide rail and components on the optical compensation device to move synchronously; wherein

[0011] The height of the adjustable sunshade can be manually adjusted and it is equipped with multiple locking holes; and

[0012] The distance between the image acquisition module and the high-precision linear guide rail is smaller than the distance between the high-precision linear guide rail and the product scanning table.

[0013] According to one embodiment, the bottom of the product scanning station is also provided with adjustable horizontal support feet.

[0014] According to one embodiment, the guide rail cross section of the high-precision linear slide rail has a trapezoidal structure.

[0015] According to one embodiment, the high-precision linear slide rail is also equipped with a position sensor for real-time detection of the current position of the scanning unit.

[0016] According to one embodiment, the position sensor is a photoelectric position sensor.

[0017] According to one embodiment, the position sensor is connected to the control unit via a signal line.

[0018] According to one embodiment, the optical compensation device is provided with multiple optical lens groups for adjusting the light path entering the image acquisition module. Among the multiple optical lens groups, there is a set of aspherical lenses for correcting image distortion. An adjustable light shield is provided between the multiple optical lens groups.

[0019] According to one embodiment, the image acquisition module further includes an infrared fill light.

[0020] This disclosure provides a product scanning and recognition device to assist an AI-powered intelligent ERP system, comprising: a product scanning table for placing the product to be scanned; a high-precision linear slide rail disposed on one side of the scanning table for driving a scanning unit to move smoothly along a predetermined path; an optical compensation device mounted on the high-precision linear slide rail and perpendicular to the scanning table for adjusting light; an image acquisition module mounted at the front end of the optical compensation device and connected to the high-precision linear slide rail for acquiring product images during scanning; an adjustable light shield mounted above the scanning table, covering the image acquisition module, for reducing the influence of ambient light on scanning; and a transmission mechanism disposed at one end of the high-precision linear slide rail for driving the components on the high-precision linear slide rail and the optical compensation device to move synchronously; wherein the height of the adjustable light shield can be manually adjusted and is provided with multiple locking holes; and the distance between the image acquisition module and the high-precision linear slide rail is smaller than the distance between the high-precision linear slide rail and the product scanning table. The solution of this disclosure can solve the problem of misjudgment by the image recognition module during high-speed scanning due to complex textures and reflective materials on the surface of product packaging. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the exemplary embodiments of this disclosure, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of this disclosure and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the isometric structure of the commodity scanning and recognition device of this utility model;

[0023] Figure 2 For this utility model Figure 1 Schematic diagram of the product scanning station in the middle;

[0024] Figure 3 For this utility model Figure 2 Enlarged side view of the product scanning station;

[0025] Figure 4 For this utility model Figure 2 Enlarged side view of the transmission mechanism.

[0026] In the diagram: 1. Product scanning table; 2. High-precision linear guide rail; 3. Optical compensation device; 4. Image acquisition module; 5. Adjustable light shield; 6. Transmission mechanism; 7. Adjustable horizontal support foot; 8. Position sensor; 9. Control unit; 10. Optical lens group; 11. Light shield; 12. Infrared supplementary light; 13. Locking hole Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the embodiments of this disclosure will be further described in detail below with reference to the accompanying drawings. The illustrative implementation methods and descriptions of the embodiments of this disclosure are only used to explain the embodiments of this disclosure and are not intended to limit the embodiments of this disclosure.

[0028] like Figure 1 As shown, the product scanning and recognition device for an AI-assisted intelligent ERP system according to this application includes a product scanning table 1, a high-precision linear slide rail 2, an optical compensation device 3, an image acquisition module 4, an adjustable light shield 5, and a transmission mechanism 6. The reasonable configuration and cooperation of these components enable the device to efficiently and accurately acquire and recognize product images, especially performing excellently when processing products with complex surfaces or reflective materials.

[0029] The product scanning station 1 is primarily used to place the products to be scanned. The surface of this scanning station is made of a low-reflection material, which effectively reduces reflections from the product packaging surface, thereby minimizing the impact of reflected light on scanning quality and improving image recognition accuracy. Furthermore, the size and structural design of the scanning station can be customized to suit specific usage scenarios, ensuring it can adapt to different types and sizes of products.

[0030] A high-precision linear guide rail 2 is installed on one side of the product scanning stage 1 to drive the scanning unit to move smoothly along a predetermined path. The accuracy and stability of this linear guide rail are crucial to the performance of the entire device. It mainly consists of a high-precision guide rail and a slider. Through precise machining and installation processes, the positional accuracy of the slider during movement is ensured, thereby providing a stable environment for image acquisition.

[0031] The optical compensation device 3 is mounted on the high-precision linear guide rail 2 and is set perpendicular to the scanning stage. Its main function is to adjust the light, eliminating interference caused by complex textures and reflective materials on the product surface, thereby improving scanning accuracy. The optical compensation device 3 typically consists of multiple lenses, filters, and a light source adjustment mechanism. These components optimize the lighting environment and reduce reflections and shadows by precisely controlling the incident angle and intensity of the light.

[0032] The image acquisition module 4 is installed at the front end of the optical compensation device 3 and connected to the high-precision linear guide rail 2. The main function of this module is to acquire images of the product during scanning. Its camera uses a high-sensitivity photosensitive element, enabling clear imaging in various lighting conditions. Furthermore, the image acquisition module 4 also has real-time image processing capabilities, allowing for rapid processing and transmission of the acquired image data, ensuring the efficient operation of the recognition system.

[0033] An adjustable light shield 5 is mounted above the scanning stage, covering the image acquisition module 4. This light shield is designed to reduce the impact of ambient light on the scanning process, thereby improving the contrast and clarity of the scanned image. The light shield typically has a multi-level adjustable structure, allowing operators to adjust its height and angle according to actual needs, maximizing the shielding of external light sources and ensuring a stable scanning environment.

[0034] The transmission mechanism 6 is located at one end of the high-precision linear guide rail 2 and is used to drive the components on the linear guide rail and the optical compensation device 3 to move synchronously. The purpose of this mechanism is to ensure the coordinated operation of each component during the scanning process and improve the overall recognition efficiency. The transmission mechanism 6 typically includes a motor, gears, and a timing belt. Through the drive of the motor and precise control, the smooth and synchronous movement of each component is achieved.

[0035] Specifically, the product scanning table 1 can be made of a low-reflection material, such as a matte metal plate or a composite material with a low-reflection coating. This material can significantly reduce reflected light from the product surface and improve image clarity. At the same time, the surface of the scanning table should be flat and smooth to facilitate stable placement of the product.

[0036] High-precision linear guides typically utilize finely machined high-precision guide rails and sliders. The guide rail material can be wear-resistant and highly stable stainless steel or aluminum alloy. Precision measurement and assembly techniques ensure that the gap between the guide rail and slider is minimized, thereby guaranteeing the stability and accuracy of the slider during movement.

[0037] The optical compensation device 3 can be implemented by combining different types of lenses and filters. Lenses are typically made of high-refractive-index and low-scattering materials, enabling precise adjustment of the light path and intensity. Filters can be selected from different wavelength ranges as needed to further optimize the light environment. In addition, a light sensor and control unit 9 can be integrated into the device to achieve automatic detection and adjustment of light conditions.

[0038] The camera in image acquisition module 4 uses a high-sensitivity CMOS or CCD image sensor. These sensors are highly sensitive to light and can capture high-quality images under various lighting conditions. The camera also needs to be equipped with autofocus and auto exposure functions to adapt to changes in the surface of different products. The module should also be equipped with a high-speed image processor and data transmission interface to ensure rapid processing and transmission of image data.

[0039] The adjustable sunshade 5 features a multi-level adjustable structure, which can be achieved via a sliding rod or a rotary knob. The sliding rod can move up and down vertically, while the rotary knob can adjust forward and backward horizontally. The sunshade material should be an opaque flexible or rigid material to ensure complete blocking of external light.

[0040] Transmission mechanism 6 (see Figure 4 The motors used in this system are typically high-torque stepper motors or servo motors, both of which offer high precision and good stability. The motors drive the slider on the linear guide rail and the components on the optical compensation device 3 to move synchronously via gears or timing belts. Precise motor control is achieved through a control system, ensuring the synchronicity and accuracy of each movement.

[0041] Through the above-mentioned technologies and component designs, this equipment effectively solves the problem of misjudgments by the image recognition module during high-speed scanning caused by complex textures and reflective materials on the surface of product packaging. The low-reflectivity scanning stage and high-precision linear guide rail 2 provide a stable platform for image acquisition, while the optical compensation device 3 eliminates reflective interference by adjusting the light, and the high-sensitivity image acquisition module 4 can achieve clear imaging in various lighting environments. Simultaneously, the adjustable light shield 5 and the precise transmission mechanism 6 ensure the coordinated operation of the entire system, improving the accuracy and efficiency of recognition. In summary, this equipment, through multiple technological innovations, significantly improves the effect of product scanning and recognition.

[0042] In one embodiment, the bottom of the product scanning table 1 of the product scanning and recognition device of the auxiliary AI intelligent ERP system of this application is provided with adjustable horizontal support feet 7 (see...). Figure 3 These adjustable leveling feet 7 are used to ensure the stability of the scanning table under different ground conditions and to prevent product recognition deviations caused by the tilt of the scanning table. The adjustable leveling feet 7 are installed at the four corners of the bottom of the product scanning table 1, with one foot at each corner, thus ensuring the overall stability of the scanning table. The design of these feet allows them to be adjusted to a level position on uneven ground, avoiding scanning errors caused by uneven surfaces.

[0043] Specifically, the adjustable leveling support foot 7 consists of a telescopic support rod and an adjustment knob. The lower end of the support rod has an anti-slip pad to increase friction with the ground and prevent the equipment from moving during use. The adjustment knob is mounted on the upper part of the support rod and is rotated to adjust the length of the support rod to accommodate different ground heights. For example, when the equipment is placed on uneven ground, the user can rotate the adjustment knob to adjust the height of each of the four support feet individually until the scanning table is level.

[0044] In one embodiment, the high-precision linear guide rail 2 of the product scanning and recognition device for an AI-assisted intelligent ERP system is made of aluminum alloy, and its guide rail cross-section has a trapezoidal structure. The high-precision linear guide rail 2 plays a crucial role in the product scanning and recognition device, ensuring that the scanning head or camera can move smoothly and accurately on the predetermined track, thereby improving the accuracy and efficiency of scanning and recognition. The aluminum alloy material used in this guide rail not only possesses excellent mechanical properties and corrosion resistance but also effectively reduces the overall weight of the device, facilitating installation and maintenance. Simultaneously, the trapezoidal guide rail cross-section design further enhances the stability and vibration resistance of the guide rail, reducing noise during sliding.

[0045] In one embodiment, the high-precision linear guide rail 2 is bolted to the base of the scanning and recognition device. Both ends of the guide rail are firmly connected to the base, ensuring that the guide rail will not shift during the entire scanning process. The slider is mounted on the guide rail, and its precise-machined groove fits tightly with the guide rail cross-section, ensuring smooth movement of the slider on the guide rail. Ball bearings are installed inside the slider to reduce friction and improve the smoothness and stability of the sliding. Through this design, the scanning and recognition device can achieve high-precision scanning operations, meeting the needs of various application scenarios.

[0046] In one embodiment, Figure 2 As shown, the high-precision linear slide rail 2 of the product scanning and recognition device for an AI-assisted intelligent ERP system of this application is also equipped with a position sensor 8, which is used to detect the current position of the scanning unit in real time to ensure positioning accuracy during the scanning process. The position sensor 8 is a photoelectric position sensor 8, which can achieve micron-level positioning accuracy, thereby reducing recognition deviation caused by positioning errors. The photoelectric position sensor 8 typically includes a transmitter and a receiver, and detects position changes by switching the light beam on and off. Specifically, the position sensor 8 is installed on one side of the high-precision linear slide rail 2, which can accurately capture the position of the scanning unit on the slide rail. In addition, the position sensor 8 is connected to the control unit 9 through a signal line. The control unit 9 adjusts the driving speed of the high-precision linear slide rail 2 according to the received position information to ensure smoother movement of the scanning unit. This design ensures that the scanning unit always stays on the predetermined trajectory throughout the scanning process, improving the accuracy of scanning and recognition.

[0047] In one embodiment, the photoelectric position sensor 8 can specifically use a laser or infrared light source as the transmitter, and the receiver determines the position by receiving changes in the light beam. For example, when the scanning unit moves on the slide rail, the photoelectric position sensor 8 continuously emits a light beam and monitors reflected or direct light. Once a change in light is detected, the position sensor 8 immediately transmits this information to the control unit 9. Based on this position information, the control unit 9 dynamically adjusts the current or voltage of the drive system through a feedback control algorithm, thereby controlling the drive speed so that the scanning unit always operates at a predetermined position and speed. This effectively improves the positioning accuracy and overall performance during the scanning process.

[0048] In one embodiment, the optical compensation device 3 of the product scanning and recognition device for an AI-assisted intelligent ERP system of this application is provided with multiple sets of optical lenses 10 (see...). Figure 2These optical lens groups 10 are used to adjust the light path entering the image acquisition module 4 to eliminate light distortion caused by complex textures and enhance image contrast. Through precise design and arrangement, these optical lens groups 10 ensure image clarity and stability under different shooting environments. Among the multiple optical lens groups is an aspherical lens, whose main function is to correct image distortion, especially reducing distortion in edge areas. This design allows the image acquisition module 4 to obtain high-quality images at various shooting angles, thereby improving overall scanning accuracy. Furthermore, an adjustable light-shielding plate 11 is provided between the multiple optical lens groups 10 to dynamically adjust the intensity of incident light under different lighting conditions. This light-shielding plate 11 can flexibly adjust the light intensity according to the actual ambient light intensity, thereby reducing the influence of external light sources on the scanning results.

[0049] For example, in one embodiment, multiple sets of optical lenses are arranged sequentially along the light path and fixed within the internal frame of the optical compensation device 3. Each set of optical lenses consists of two or more lens elements connected together by a specific mechanical structure. Aspherical lenses are located in key positions within the lens group and are used in combination with conventional lenses to ensure the performance of the entire optical system. A light-shielding plate 11 is positioned in the gaps between the lens groups and its opening degree is adjusted electrically or manually to adapt to different lighting conditions. The specific adjustment mechanism can be driven by a stepper motor or a mechanical linkage system to achieve precise control.

[0050] In one embodiment, the image acquisition module 4 of the product scanning and recognition device for an AI-assisted intelligent ERP system of this application further includes an infrared supplementary light lamp 12, used to provide auxiliary light source in low-light environments, enhance the clarity and brightness of product images, and improve recognition accuracy. The introduction of the infrared supplementary light lamp 12 enables the device to effectively capture product images under various lighting conditions, especially in dim or no natural light sources. This design not only improves the system's environmental adaptability but also ensures that the image recognition module can acquire high-quality image data, thereby improving the stability and accuracy of the entire system.

[0051] Specifically, the infrared fill light 12 is installed inside the image acquisition module 4, above and adjacent to the camera. It forms a fixed angle with the camera to ensure that the light from the fill light can evenly illuminate the subject, avoiding localized overexposure or underexposure. The infrared fill light 12 is connected to the control circuit via a separate wire and can automatically activate when the system detects low-light conditions, providing a stable auxiliary light source for the camera. For example, when the brightness of the image captured by the camera is lower than a preset threshold, the control circuit will automatically turn on the infrared fill light 12, thereby enhancing image quality and ensuring the smooth progress of the recognition process.

[0052] In one embodiment, the height of the adjustable light shield 5 in the product scanning and recognition device of the AI-assisted intelligent ERP system of this application can be manually adjusted to adapt to the needs of different usage scenarios. Specifically, the device is equipped with a height-adjustable light shield. By adjusting the height of the light shield, the interference of ambient light on the product scanning and recognition process can be effectively reduced, improving scanning accuracy and reliability. The design of the light shield not only considers flexibility but also provides multiple locking points, allowing users to fix the light shield at multiple different heights, thereby better meeting the requirements of different working environments.

[0053] The adjustable sunshade 5 of this device achieves height adjustment through a series of ingenious designs. The sunshade itself is made of multiple sections of stretchable material, which can be nested or slid together to change height. Inside the sunshade are several evenly distributed locking holes 13, allowing the user to select an appropriate position to lock the sunshade at the desired height. The locking mechanism typically includes a sliding latch; when the sunshade reaches the appropriate height, the user can insert the latch into one of the locking holes 13 to secure the sunshade in that position, ensuring its stability during operation.

[0054] For example, the light shield can be connected to the main body of the device via a slide rail system. The slide rail design allows the adjustable light shield 5 to move freely up and down within a certain range. The locking mechanism inside the slide rail can be a spring-loaded pin. When the user needs to adjust the height, the position of the light shield can be changed by releasing the locking pin, and then it can be reinserted into another locking hole 13 to complete the fixation. This design is simple and practical, effectively reducing the impact of ambient light and improving the performance of the device.

[0055] In one embodiment, the distance between the image acquisition module 4 and the high-precision linear guide rail 2 of the product scanning and recognition device for an AI-assisted intelligent ERP system is smaller than the distance between the high-precision linear guide rail 2 and the product scanning table 1. This design allows the image acquisition module 4 to form a better optical focus, thereby ensuring richer details in the product image. Specifically, the image acquisition module 4 is located above the high-precision linear guide rail 2 and closer to the product scanning table 1. This layout optimizes the optical path and improves the resolution and clarity of the image acquisition. By reasonably adjusting the relative positions of the components, the device can provide more accurate image information during product scanning, thereby improving the data processing accuracy of the ERP system.

[0056] Specifically, a high-precision linear guide rail 2 is installed in the middle of the device, extending horizontally along the scanning direction to ensure smooth and stable movement. The image acquisition module 4 is fixed above the guide rail and can move precisely laterally or vertically via the guide rail to scan products of different sizes and shapes. For example, the optical performance can be further optimized by adjusting the vertical distance between the image acquisition module 4 and the product scanning stage 1, ensuring optimal image quality at different scanning positions. Furthermore, the system is equipped with sophisticated sensors and controllers to monitor and adjust the position of the image acquisition module 4 in real time, ensuring it is always in optimal optical focus.

[0057] In actual operation, when using this device, the user first places the product to be scanned on the product scanning table 1. The surface of the scanning table is made of a low-reflection material, which can effectively reduce reflection from the product packaging surface, thereby reducing interference during the scanning process. Next, the transmission mechanism 6 is activated, driving the high-precision linear guide rail 2, causing the optical compensation device 3 mounted on it to move smoothly along a predetermined path. The optical compensation device 3 is set perpendicular to the scanning table, and its main function is to adjust the light, thereby eliminating the influence of complex textures and reflective materials on the product surface, ensuring optimal lighting conditions during the scanning process. Simultaneously, the image acquisition module 4 is located in front of the optical compensation device 3 and connected to the high-precision linear guide rail 2. The camera uses a high-sensitivity photosensitive element, capable of clearly capturing product images in various lighting environments, ensuring image quality. An adjustable light shield 5 is also installed above the scanning table, which can cover the entire image acquisition module 4 to avoid the influence of external ambient light on the scanning results, further improving image contrast and clarity. Throughout the process, all components work closely together. The transmission mechanism 6 ensures the synchronous movement of the high-precision linear guide rail 2, the optical compensation device 3, and the image acquisition module 4, thereby ensuring the coordinated operation of all components and significantly improving the accuracy and efficiency of product scanning and recognition. Ultimately, through this series of efficient and coordinated operations, the AI ​​intelligent ERP system is able to acquire high-quality product images, providing reliable data support for subsequent processing and recognition.

[0058] The methods, programs, systems, apparatuses, etc., in embodiments of the present invention can be executed or implemented in one or more networked computers, or practiced in a distributed computing environment. In the embodiments of this specification, in these distributed computing environments, tasks can be performed by remote processing devices connected via a communication network.

[0059] Those skilled in the art will understand that the embodiments described in this specification can be provided as methods, systems, or computer program products. Therefore, those skilled in the art will realize that the functional modules / units or controllers and related method steps described in the above embodiments can be implemented in software, hardware, or a combination of both.

[0060] Unless explicitly stated otherwise, the actions or steps of the methods and procedures described in the embodiments of the present invention do not necessarily have to be performed in a specific order and can still achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0061] This document describes several embodiments of the present invention; however, for the sake of brevity, the descriptions of the embodiments are not exhaustive, and identical or similar features or parts between the embodiments may be omitted. In this document, "one embodiment," "some embodiments," "example," "specific example," or "some examples" refers to embodiments applicable to at least one, but not all, of the present invention. The above terms do not necessarily refer to the same embodiments or examples. Without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described herein, as well as the features of the different embodiments or examples.

[0062] The exemplary systems and methods of the present invention have been specifically shown and described with reference to the above embodiments, which are merely examples of the best mode for implementing the systems and methods. Those skilled in the art will understand that various changes can be made to the embodiments of the systems and methods described herein without departing from the spirit and scope of the invention as defined in the appended claims when implementing the systems and / or methods.

Claims

1. A product scanning and recognition device for assisting an AI-powered intelligent ERP system, characterized in that, include: Product scanning station (1), used to place the product to be scanned; A high-precision linear slide rail (2) is provided on one side of the scanning stage (1) to drive the scanning unit to move smoothly along a predetermined path; An optical compensation device (3) is installed on the high-precision linear slide rail (2) and is set perpendicular to the scanning stage (1) to adjust the light. The image acquisition module (4) is installed at the front end of the optical compensation device (3) and connected to the high-precision linear slide rail (2) for acquiring product images during the scanning process; An adjustable light shield (5) is installed above the scanning stage (1) and covers the image acquisition module (4) to reduce the influence of external ambient light on the scanning. A transmission mechanism (6) is disposed at one end of the high-precision linear slide rail (2) and is used to drive the components on the high-precision linear slide rail (2) and the optical compensation device (3) to move synchronously; wherein The height of the adjustable light shield (5) can be manually adjusted and it is provided with multiple locking holes (13); and The distance between the image acquisition module (4) and the high-precision linear slide rail (2) is smaller than the distance between the high-precision linear slide rail (2) and the commodity scanning table (1).

2. The product scanning and recognition device for an AI-assisted intelligent ERP system according to claim 1, characterized in that: The bottom of the commodity scanning table (1) is also provided with adjustable horizontal support feet (7).

3. The product scanning and recognition device for an AI-assisted intelligent ERP system according to claim 1, characterized in that: The high-precision linear slide rail (2) has a trapezoidal cross-section.

4. The product scanning and recognition device for an AI-assisted intelligent ERP system according to claim 1, characterized in that: The high-precision linear slide rail (2) is also equipped with a position sensor (8) for real-time detection of the current position of the scanning unit.

5. The product scanning and recognition device for an AI-assisted intelligent ERP system according to claim 4, characterized in that: The position sensor (8) is a photoelectric position sensor.

6. The product scanning and recognition device for an AI-assisted intelligent ERP system according to claim 4, characterized in that: The position sensor (8) is connected to the control unit (9) via a signal line.

7. The product scanning and recognition device for an AI-assisted intelligent ERP system according to claim 1, characterized in that: The optical compensation device (3) is equipped with multiple optical lens groups (10) to adjust the light path entering the image acquisition module (4). Among the multiple optical lens groups (10) is a set of aspherical lenses to correct image distortion. An adjustable light shield (11) is provided between the multiple optical lens groups (10).

8. The product scanning and recognition device for an AI-assisted intelligent ERP system according to claim 1, characterized in that: The image acquisition module (4) also includes an infrared fill light (12).