A warehouse position visual recognition device

Abstract

This utility model discloses a warehouse visual recognition device, including a loading vehicle body. The loading vehicle body includes a protective shell, a base plate, a drive motor, drive wheels, a steering wheel, and auxiliary support wheels. The drive wheels are limited and installed on both sides of the loading vehicle body via drive shafts. The base plate of the loading vehicle body is equipped with auxiliary support wheels. The device utilizes a combination of U-shaped fixing rods, U-shaped mounting rods, and buffer spring columns to prevent damage to the loading vehicle body due to collisions caused by external influences during operation. A high-definition image acquisition module and an image processing module preprocess the acquired images, effectively improving image quality. The recognition and analysis module employs a deep learning model trained on a large number of samples, enabling rapid and accurate extraction and recognition of warehouse features, significantly improving the efficiency of warehouse recognition. The supplementary lighting module automatically adjusts brightness according to lighting conditions, ensuring clear images can be acquired even in low-light environments.

Description

Technical Field

[0001] This utility model relates to the field of warehousing and logistics technology, and in particular to a warehouse location visual recognition device. Background Technology

[0002] In the warehousing and logistics sector, accurate identification of warehouse locations is crucial for the storage, retrieval, and management of goods. Currently, traditional warehouse location identification methods rely heavily on manual recording and marking, which not only consumes a significant amount of manpower and resources but is also prone to inaccurate warehouse location information due to human error, thus impacting logistics efficiency.

[0003] However, existing automated warehouse location identification devices are susceptible to collisions caused by external factors during operation, resulting in damage to the loading vehicle. Furthermore, the identification accuracy of the loading vehicle is not high, and the device is not adaptable to complex environments. In situations with dim lighting or blurred warehouse location markings, it is difficult to accurately identify warehouse location information. Therefore, we propose a warehouse location visual identification device. Summary of the Invention

[0004] To overcome the shortcomings of existing technologies, this utility model provides a warehouse visual recognition device. Through the combination of a U-shaped fixing rod, a U-shaped mounting rod, and a buffer spring column, it avoids damage to the loading vehicle due to collisions caused by external factors during operation. A high-definition image acquisition module and an image processing module preprocess the acquired images, effectively improving image quality. The recognition and analysis module uses a deep learning model trained on a large number of samples, enabling it to quickly and accurately extract warehouse features and perform recognition, greatly improving the efficiency of warehouse recognition. The supplementary lighting module automatically adjusts the brightness according to lighting conditions, ensuring clear images can be acquired even in low-light environments.

[0005] To solve the above-mentioned technical problems, this utility model provides the following technical solution: a warehouse visual recognition device, including a loading vehicle body, the loading vehicle body including a protective shell, a bottom plate, a drive motor, drive wheels, steering wheel discs, and auxiliary support wheels. The drive wheels are limited and installed on both sides of the loading vehicle body by drive shafts. The bottom plate of the loading vehicle body is equipped with auxiliary support wheels. Steering wheel discs are installed on the outer side of the auxiliary support wheels on the surface of the bottom plate of the loading vehicle body. U-shaped fixing rods are symmetrically installed on both sides of the bottom plate of the loading vehicle body by bolts. U-shaped mounting rods are installed on the outer side of the U-shaped fixing rods by buffer spring columns. Anti-collision rubber rings are sleeved on the surface of the U-shaped mounting rods. C-shaped clips are fixedly installed on both sides of the protective shell of the loading vehicle body. The loading vehicle body has a C-shaped locking block located inside the anti-collision rubber ring, and the drive wheel located inside the C-shaped locking block. Infrared sensors, a visual recognition structure, and a supplementary lighting module are installed on the inner sides of both the front and back of the protective outer shell. The visual recognition structure includes an image acquisition module, an image processing module, a recognition analysis module, a communication module, and a power supply module. The protective outer shell of the loading vehicle body has an acquisition window corresponding to the image acquisition module. The image acquisition module is electrically connected to the image processing module. The infrared sensor, communication module, and image processing module are respectively electrically connected to the recognition analysis module. The supplementary lighting module is electrically connected to the power supply module and the image processing module. The image acquisition module uses a high-definition industrial camera.

[0006] As a preferred technical solution of this utility model, a main support column is provided at the center of the top of the loading vehicle body, a loading top plate is installed at the top of the main support column, and spring support columns are fixedly provided at the four corners of the bottom of the loading top plate. The bottom of the spring support columns is fixedly connected to the top of the loading vehicle body, and an elastic rubber ring is provided between the loading vehicle body and the loading top plate.

[0007] As a preferred embodiment of this invention, the image processing module includes an image preprocessing unit and an image enhancement unit.

[0008] As a preferred technical solution of this utility model, the identification and analysis module has a built-in deep learning model and a preset warehouse feature library.

[0009] As a preferred embodiment of this utility model, the protective shell of the loading vehicle is also provided with a status indicator light, which is electrically connected to the identification and analysis module.

[0010] Compared with the prior art, the beneficial effects of this utility model are as follows: 1. By combining the U-shaped fixing rod, U-shaped mounting rod, and buffer spring column, the loading vehicle body is protected from collisions caused by external influences during operation, thus preventing damage to the loading vehicle body. The high-definition image acquisition module and image processing module preprocess the acquired images, effectively improving image quality. The recognition and analysis module uses a deep learning model trained on a large number of samples, which can quickly and accurately extract and identify the warehouse location features, greatly improving the efficiency of warehouse location recognition. The supplementary lighting module can automatically adjust the brightness according to the lighting conditions, ensuring that clear images can be acquired even in low-light environments.

[0011] 2. The combination of loading top plate, elastic rubber ring, main support column, and spring support column facilitates the placement of stored items on the top of the loading top plate, providing local shock absorption; the image preprocessing unit performs noise reduction and deblurring on the acquired image, and adopts an adaptive median filtering algorithm to effectively remove salt-and-pepper noise and Gaussian noise in the image; the image enhancement unit is used to adjust the contrast and brightness of the image. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the overall front structure of this utility model.

[0013] Figure 2 This is a schematic diagram of the overall side structure of this utility model.

[0014] Figure 3 This is a top-view structural diagram of the loading top plate of this utility model.

[0015] Figure 4 This is a partial structural diagram of the base plate of this utility model, viewed from below.

[0016] The components include: 1. Loading vehicle body; 2. Loading roof; 3. Infrared sensor; 4. Visual recognition structure; 5. Supplemental lighting module; 6. Anti-collision rubber ring; 7. Drive wheel; 8. Steering wheel disc; 9. Auxiliary support wheel; 10. Elastic rubber ring; 11. Main support column; 12. Spring support column; 13. U-shaped fixing rod; 14. U-shaped mounting rod; 15. Buffer spring column; 16. C-shaped locking block. Detailed Implementation

[0017] To make the technical means, creative features, and achieved objectives and effects of this utility model easier to understand, the present utility model is further described below with reference to specific embodiments. However, the following embodiments are merely preferred embodiments of this utility model and not all of them. Other embodiments obtained by those skilled in the art based on the embodiments described in the implementation are all within the protection scope of this utility model without creative effort.

[0018] For an example, please refer to... Figure 1 , Figure 2 , Figure 3 , Figure 4 As shown, this utility model provides a warehouse visual recognition device, including a loading vehicle body 1. The loading vehicle body 1 includes a protective shell, a bottom plate, a drive motor, drive wheels 7, steering wheel discs 8, and auxiliary support wheels 9. The drive wheels 7 are limited and installed on both sides of the loading vehicle body 1 by drive shafts. The auxiliary support wheels 9 are installed on the bottom plate of the loading vehicle body 1. The steering wheel discs 8 are installed on the outer side of the auxiliary support wheels 9 on the bottom plate surface of the loading vehicle body 1. U-shaped fixing rods 13 are symmetrically installed on both sides of the bottom plate of the loading vehicle body 1 by bolts. 3. A U-shaped mounting rod 14 is installed on the outer side via a buffer spring post 15. An anti-collision rubber ring 6 is fitted on the surface of the U-shaped mounting rod 14. C-shaped locking blocks 16 are fixedly installed on both sides of the protective shell of the loading vehicle body 1. The C-shaped locking blocks 16 are located inside the anti-collision rubber ring 6. The drive wheel 7 is located inside the C-shaped locking blocks 16. Infrared sensors 3, visual recognition structures 4, and supplementary lighting modules 5 are installed on the inner sides of the front and back of the protective shell of the loading vehicle body 1. The visual recognition structure 4 includes an image acquisition module, an image processing module, and a recognition analysis module. The loading vehicle body 1 includes a module, a communication module, and a power module. A capture window corresponding to the image acquisition module is provided on the protective shell of the loading vehicle body 1. The image acquisition module is electrically connected to the image processing module. The infrared sensor 3, communication module, and image processing module are electrically connected to the recognition and analysis module, respectively. The supplementary lighting module 5 is electrically connected to the power module and the image processing module. The image acquisition module uses a high-definition industrial camera. The combination of U-shaped fixing rods 13, U-shaped mounting rods 14, and buffer spring columns 15 prevents damage to the loading vehicle body 1 due to collisions caused by external influences during operation. The high-definition image acquisition module and image processing module preprocess the acquired images, effectively improving image quality. The recognition and analysis module uses a deep learning model trained on a large number of samples, enabling rapid and accurate extraction and recognition of warehouse features, greatly improving the efficiency of warehouse recognition. The supplementary lighting module 5 can automatically adjust its brightness according to lighting conditions, ensuring clear images can be acquired even in low-light environments.

[0019] like Figure 3 As shown, a main support column 11 is provided at the center of the top of the loading vehicle body 1. A loading top plate 2 is installed at the top of the main support column 11. Spring support columns 12 are fixedly installed at the four corners of the bottom of the loading top plate 2. The bottom of the spring support columns 12 is fixedly connected to the top of the loading vehicle body 1. An elastic rubber ring 10 is provided between the loading vehicle body 1 and the loading top plate 2. The combination of the loading top plate 2, the elastic rubber ring 10, the main support column 11, and the spring support columns 12 facilitates the placement of stored goods on the top of the loading top plate 2, thereby playing a role in local shock absorption.

[0020] like Figure 1As shown, the image processing module includes an image preprocessing unit and an image enhancement unit. The image preprocessing unit performs noise reduction and deblurring on the acquired image, and adopts an adaptive median filtering algorithm to effectively remove salt-and-pepper noise and Gaussian noise from the image. The image enhancement unit is used to adjust the contrast and brightness of the image.

[0021] like Figure 1 As shown, the identification and analysis module has a built-in deep learning model and a preset position feature library. The deep learning model uses a convolutional neural network, which is trained through a large number of position image samples. It is used to extract key feature information of the position from the preprocessed image and compare the extracted feature information with the preset position feature library to identify the position number and position type information.

[0022] like Figure 1 As shown, the protective shell of the loading vehicle body 1 is also equipped with a status indicator light, which is electrically connected to the identification and analysis module. The status indicator light is used to display the working status of the device. It lights up green when working normally and red when malfunctioning.

[0023] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed utility model. The scope of protection of this utility model is defined by the appended claims and their equivalents.

Claims

1. A warehouse position visual recognition device comprising a loading vehicle body (1), characterized in that: The loading vehicle body (1) includes a protective shell, a bottom plate, a drive motor, a drive wheel (7), a steering wheel disc (8), and an auxiliary support wheel (9). The drive wheel (7) is limited and installed on both sides of the loading vehicle body (1) by a drive shaft. The bottom plate of the loading vehicle body (1) is equipped with an auxiliary support wheel (9). The steering wheel disc (8) is installed on the outer side of the auxiliary support wheel (9) on the bottom plate surface of the loading vehicle body (1). U-shaped fixing rods (13) are symmetrically installed on both sides of the bottom plate of the loading vehicle body (1) by bolts. A U-shaped mounting rod (14) is installed on the outer side of the U-shaped fixing rod (13) and connected by a buffer spring column (15). The surface of the U-shaped mounting rod (14) is fitted with an anti-collision rubber ring (6). C-shaped clips (16) are fixedly installed on both sides of the protective shell of the loading vehicle body (1). 16) The drive wheel (7) is located inside the anti-collision rubber ring (6) and inside the C-shaped block (16). The protective shell of the loading vehicle body (1) is equipped with an infrared sensor (3), a visual recognition structure (4), and a supplementary light module (5) on the inner sides of the front and back. The visual recognition structure (4) includes an image acquisition module, an image processing module, a recognition analysis module, a communication module, and a power supply module. The protective shell of the loading vehicle body (1) has an acquisition window corresponding to the image acquisition module. The image acquisition module is electrically connected to the image processing module. The infrared sensor (3), the communication module, and the image processing module are electrically connected to the recognition analysis module, respectively. The supplementary light module (5) is electrically connected to the power supply module. The supplementary light module (5) is electrically connected to the image processing module. The image acquisition module uses a high-definition industrial camera.

2. The warehouse position visual identification device according to claim 1, characterized in that: A main support column (11) is provided at the top center of the loading vehicle body (1). A loading top plate (2) is installed at the top of the main support column (11). Spring support columns (12) are fixedly provided at the four corners of the bottom of the loading top plate (2). The bottom of the spring support column (12) is fixedly connected to the top of the loading vehicle body (1). An elastic rubber ring (10) is provided between the loading vehicle body (1) and the loading top plate (2).

3. The warehouse position visual recognition device according to claim 1, characterized in that: The image processing module includes an image preprocessing unit and an image enhancement unit.

4. The warehouse visual identification device according to claim 1, characterized in that: The identification and analysis module has a built-in deep learning model and a preset warehouse feature library.

5. The warehouse visual identification device according to claim 1, characterized in that: The protective shell of the loading vehicle body (1) is also equipped with a status indicator light, which is electrically connected to the identification and analysis module.

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