A digital instrument detection automatic identification system

Abstract

This invention discloses an automatic identification system for digital instrument testing, comprising an image acquisition module, an image preprocessing module, a character recognition module, a data judgment module, a data processing module, and a certificate generation module. The invention acquires the reading window image of the digital instrument under test through the image acquisition module, and automatically extracts and parses the displayed digital content by combining image preprocessing and character recognition algorithms. This achieves non-intrusive reading without requiring any hardware or software modifications to the tested digital instrument, making it applicable to most digital instruments. The invention connects the image acquisition module locally to a computer, avoiding the risks of privacy violations and data leaks associated with using webcams. Furthermore, the invention ensures standardized operating procedures and accurate data collection by performing automated logical verification on the identified digital information. This invention achieves automated and standardized reading, improves the testing efficiency of digital instruments, and eliminates human error.

Description

Technical Field

[0001] This invention relates to the field of digital instrument testing technology, and more specifically to an automatic identification system for digital instrument testing. Background Technology

[0002] In the metrology industry, digital instruments, as an important component of various measuring instruments (such as water meters, electricity meters, pressure gauges, gas meters, etc.), undertake the core function of data display and output. During the periodic verification and on-site calibration of digital instruments, the accurate acquisition of readings directly affects the reliability of the measurement results.

[0003] However, the current instrument reading process mainly relies on manual reading and recording, which has the disadvantages of high subjectivity and susceptibility to problems such as viewing angle error, reflection interference, and screen refresh, resulting in inconsistent readings and reducing the consistency and objectivity of measurement; the data recording process is prone to errors and non-standardization, and manual copying or input of data is prone to misrecording, omission, and duplication, affecting the integrity of the test data; and the testing efficiency is low.

[0004] Currently, although some digital instruments have communication interfaces, the interfaces are not standardized, the protocols are diverse, and there is a lack of reading mechanisms, which makes system integration difficult and restricts the informatization and automation of the testing process. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the present invention aims to provide an automatic identification system for digital instrument detection.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: An automatic identification system for digital instrument testing includes an image acquisition module, an image preprocessing module, a character recognition module, a data judgment module, a data processing module, and a certificate generation module. The image acquisition module is used to acquire images of the reading window of the digital instrument under test; The image preprocessing module is used to perform preprocessing on the images acquired by the image acquisition module. The preprocessing includes grayscale binarization, noise suppression, contrast enhancement, and edge detection. The character recognition module is used to extract the digital information displayed in the reading window of the tested digital instrument from a pre-processed image using an image recognition algorithm; The data judgment module is used to calculate the error between the digital information recognized by the character recognition module and the preset standard value. If the calculated error does not exceed the preset error limit, the digital information recognized by the character recognition module is determined to be consistent with the corresponding standard value and is handed over to the data processing module for further processing. Otherwise, it is determined to be inconsistent and returned to the image acquisition module to re-acquire the image. The data processing module is used to round off digital information that is consistent with the standard value to generate the final test data to meet the requirements of the verification procedure. The certificate generation module is used to generate original test records after completing the testing of all test points and identifying the corresponding test data, and finally issue test certificates based on the original records.

[0007] Furthermore, the image acquisition module employs a CCD industrial camera.

[0008] Furthermore, the image preprocessing module, character recognition module, data judgment module, data processing module, and certificate generation module are built into the computer, and the image acquisition module is locally connected to the computer.

[0009] Furthermore, the image acquisition module can be installed in a fixed or mobile manner.

[0010] Furthermore, the image recognition algorithm is specifically a method based on convolutional neural networks.

[0011] The beneficial effects of this invention are as follows: 1. This invention acquires the reading window image of the digital instrument under test through an image acquisition module, and automatically extracts and parses the digital display content by combining image preprocessing and character recognition algorithms, thus realizing non-intrusive reading. It does not require any software or hardware modification to the digital instrument under test and is applicable to most digital instruments. 2. This invention achieves automated and standardized reading, improves the verification efficiency of digital instruments, eliminates human error, and is applicable to various instrument interfaces, with good versatility and scalability.

[0012] 3. This invention connects the image acquisition module locally to the computer, avoiding the risks of infringing on staff privacy and data leakage associated with using a webcam; 4. This invention ensures standardized operation procedures and accurate data collection by performing automated logical verification on the identified digital information. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the system implementation in an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating the implementation of the system in an embodiment of the present invention. Detailed Implementation

[0014] The present invention will be further described below with reference to the accompanying drawings. It should be noted that this embodiment is based on the present technical solution and provides detailed implementation methods and specific operation processes, but the protection scope of the present invention is not limited to this embodiment.

[0015] This embodiment provides an automatic identification system for digital instrument detection, such as... Figure 1 As shown, it includes an image acquisition module, an image preprocessing module, a character recognition module, a data judgment module, a data processing module, and a certificate generation module.

[0016] like Figure 2 As shown, the image acquisition module is used to acquire images of the reading window of the digital instrument under test, and it is locally connected to the computer. Specifically, in this embodiment, the image acquisition module uses a CCD industrial camera.

[0017] By acquiring a high-resolution image of the reading window of the digital instrument under test through an image acquisition module, accurate capture of the instrument's readings can be ensured. The image acquisition module can be installed in a fixed or mobile manner and has the ability to adapt to different display brightness and angles.

[0018] The image preprocessing module, character recognition module, data judgment module, data processing module, and certificate generation module are built into the computer.

[0019] The image preprocessing module performs preprocessing on the images acquired by the image acquisition module. This preprocessing includes grayscale binarization, noise suppression, contrast enhancement, and edge detection. Preprocessing optimizes image quality and automatically locates the reading window region in the image, laying the foundation for subsequent image recognition.

[0020] The character recognition module uses an image recognition algorithm to extract the digital information displayed in the reading window of the digital instrument under test from a preprocessed image, thereby automating the recognition of the readings of the digital instrument under test. Specifically, in this embodiment, the image recognition algorithm is based on a convolutional neural network method to improve the robustness of recognizing numbers under different fonts and display methods.

[0021] The data determination module is used to calculate the error between the digital information recognized by the character recognition module and the preset standard value. If the calculated error does not exceed the preset error limit, the digital information recognized by the character recognition module is determined to be consistent with the corresponding standard value and is handed over to the data processing module for further processing. Otherwise, it is determined to be inconsistent and returned to the image acquisition module to re-acquire the image.

[0022] The data processing module is used to round off digital information that is consistent with the standard value to generate the final test data to meet the requirements of the verification procedure or calibration specification.

[0023] The certificate generation module is used to generate original test records after completing the testing of all test points and identifying the corresponding test data, and finally issue test certificates based on the original records.

[0024] For those skilled in the art, various corresponding changes and modifications can be made based on the above technical solutions and concepts, and all such changes and modifications should be included within the protection scope of the claims of this invention.

Claims

1. An automatic identification system for digital instrument detection, characterized in that, It includes an image acquisition module, an image preprocessing module, a character recognition module, a data judgment module, a data processing module, and a certificate generation module; The image acquisition module is used to acquire images of the reading window of the digital instrument under test; The image preprocessing module is used to perform preprocessing on the images acquired by the image acquisition module. The preprocessing includes grayscale binarization, noise suppression, contrast enhancement, and edge detection. The character recognition module is used to extract the digital information displayed in the reading window of the tested digital instrument from a pre-processed image using an image recognition algorithm; The data judgment module is used to calculate the error between the digital information recognized by the character recognition module and the preset standard value. If the calculated error does not exceed the preset error limit, the digital information recognized by the character recognition module is determined to be consistent with the corresponding standard value and is handed over to the data processing module for further processing. Otherwise, it is determined to be inconsistent and returned to the image acquisition module to re-acquire the image. The data processing module is used to round off digital information that is consistent with the standard value to generate the final test data to meet the requirements of the verification procedure. The certificate generation module is used to generate original test records after completing the testing of all test points and identifying the corresponding test data, and finally issue test certificates based on the original records.

2. The system according to claim 1, characterized in that, The image acquisition module uses a CCD industrial camera.

3. The system according to claim 1, characterized in that, The image preprocessing module, character recognition module, data judgment module, data processing module, and certificate generation module are built into the computer, and the image acquisition module is locally connected to the computer.

4. The system according to claim 3, characterized in that, The image acquisition module can be installed in a fixed or mobile manner.

5. The system according to claim 1, characterized in that, The image recognition algorithm is specifically based on a convolutional neural network.

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