Large-scale product specific area identification image identification and data extraction device

Abstract

The utility model discloses a large-scale product specific area identification image identification and data extraction device, and relates to the technical field of OCR (Optical Character Recognition). Comprising a lens module, a support and an OCR system hand-held terminal, the OCR system hand-held terminal is clamped and fixed on the support, the lens module is installed on the OCR system hand-held terminal, and the lens module automatically senses ambient light and automatically adjusts an aperture through a photosensitive element to ensure good image quality. According to the utility model, the design is reasonable, multiple functions of bar code scanning, RFID reading, photographing and the like are integrated, and more possibilities are provided for comprehensive management of large workpieces.

Description

Technical Field

[0001] This utility model relates to the field of OCR technology, specifically to a device for recognizing and extracting data from images of specific areas of large products. Background Technology

[0002] Existing OCR systems typically mount their lenses in a specific location, meaning they can only operate within a designated area. For large workpieces, this may require moving the workpiece into the OCR system's range, increasing operational complexity and cost. Large workpieces vary significantly in size and shape, making it difficult for OCR systems to adapt to diverse workpieces, especially when the workpiece's placement or angle changes, potentially affecting OCR accuracy. Installing a fixed OCR system often requires modifying existing production lines, incurring not only hardware costs but also labor costs for installation and debugging. Fixed-lens OCR systems may rely on specific lighting conditions to ensure good image quality; unstable ambient light can negatively impact OCR performance.

[0003] In summary, this utility model designs a device for image recognition and data extraction of specific areas of large products. Utility Model Content

[0004] In view of the shortcomings of the existing technology, the purpose of this utility model is to provide a device for image recognition and data extraction of specific areas of large products. It is reasonably designed and integrates multiple functions such as barcode scanning, RFID reading, and photography, providing more possibilities for the comprehensive management of large workpieces.

[0005] To achieve the above objectives, this utility model provides the following technical solution: a large product specific area identification image recognition and data extraction device, comprising a lens module, a bracket, and an OCR system handheld terminal. The OCR system handheld terminal is fixedly mounted on the bracket, and the lens module is installed on the OCR system handheld terminal.

[0006] Preferably, the lens module automatically senses ambient light through a photosensitive element and automatically adjusts the aperture to ensure good image quality.

[0007] Preferably, the handheld terminal of the OCR system has built-in OCR software, and the screen displays the recognition results of the OCR software in real time.

[0008] Preferably, the handheld terminal of the OCR system integrates a barcode scanning device, an RFID reading device, and a camera.

[0009] Preferably, the handheld terminal of the OCR system is also equipped with a human-computer interaction interface (screen).

[0010] This utility model has the following beneficial effects:

[0011] 1. The flexible application of handheld terminals enables users to perform OCR reading from different angles and distances, adapting to a wider range of recognition scenarios.

[0012] 2. It integrates multiple functions such as barcode scanning, RFID reading, and photography, providing more possibilities for the comprehensive management of large workpieces.

[0013] 3. It can be easily carried to any site where large workpieces need to be identified, eliminating the need to move the workpieces to a fixed scanning area, which greatly improves work efficiency and ease of operation.

[0014] 4. Enables on-site personnel to quickly verify the accuracy of information and make timely corrections or adjustments, reducing delays in information transmission. Attached Figure Description

[0015] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments;

[0016] Figure 1 This is the front view of the present invention;

[0017] Figure 2 This is a three-dimensional structural diagram of the present invention. Detailed Implementation

[0018] To make the technical means, creative features, objectives and effects of this utility model easier to understand, the present utility model will be further described below in conjunction with specific embodiments.

[0019] Reference Figure 1-2 This specific embodiment adopts the following technical solution: a device for image recognition and data extraction of specific areas of a product, including a lens module 1, a bracket 2, and an OCR system handheld terminal 3. The OCR system handheld terminal 3 is fixedly attached to the bracket 2, and the lens module 1 is mounted on the OCR system handheld terminal 3.

[0020] It is worth noting that the lens module 1 automatically senses the ambient light through the photosensitive element and automatically adjusts the aperture to ensure good image quality.

[0021] It is worth noting that the OCR system handheld terminal 3 has built-in OCR software, and the screen displays the OCR software recognition results in real time.

[0022] It is worth noting that the OCR system handheld terminal 3 integrates a barcode scanning device, an RFID reading device, and a camera.

[0023] In addition, the handheld terminal 3 of the OCR system is also equipped with a human-computer interaction interface (screen).

[0024] In this specific implementation, the camera on the handheld terminal needs to have high resolution and fast autofocus to adapt to different lighting conditions and workpiece surface features, ensuring the acquisition of clear and complete text images. Image quality is improved through algorithm optimization, such as dynamically adjusting exposure time and white balance. Advanced OCR algorithms, such as deep learning models, are employed to improve recognition accuracy, especially for blurry, distorted, or smudged text. Training and optimization for industry-specific fonts and terminology may be necessary to meet specific recognition requirements.

[0025] This specific implementation develops an easy-to-use user interface (human-computer interaction interface) that allows operators to quickly launch the OCR function, adjust the image preview, select the optimal recognition area, and view and confirm the recognition results. The recognized data should be quickly stored on the handheld terminal or directly uploaded to the cloud / local server, enabling real-time data processing and remote access. Encrypted transmission ensures data security.

[0026] In this specific embodiment, the hardware (such as camera and processor) of the handheld terminal and the OCR software need to be closely integrated to ensure that the hardware performance can support the operation of the software algorithm to the maximum extent, while the software should also make full use of the hardware acceleration features to improve the recognition speed and user experience.

[0027] 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 illustrative of the principles of this 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 claims. The scope of protection of this utility model is defined by the appended claims and their equivalents.

Claims

1. A large product specific area identification image recognition and data extraction apparatus, characterized by, It comprises a lens module (1), a support (2) and an OCR system handheld terminal (3), the support (2) is clamped and fixed with the OCR system handheld terminal (3), and the lens module (1) is installed on the OCR system handheld terminal (3).

2. The apparatus according to claim 1, wherein The lens module (1) automatically senses ambient light through a photosensitive element, automatically adjusts the aperture, and ensures good image quality.

3. The apparatus according to claim 1, wherein The OCR system handheld terminal (3) is built-in with OCR software, and the screen timely displays the recognition result of the OCR software.

4. The apparatus for large product specific area identification image recognition and data extraction according to claim 1, wherein, The OCR system handheld terminal (3) is integrated with a barcode scanning device, an RFID reading device and a camera.

5. The apparatus for large product specific area identification image recognition and data extraction of claim 1, wherein, The OCR system handheld terminal (3) is further provided with a man-machine interaction interface.

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