An Innovative Method for Measuring Instrument Data Acquisition using Image Processing Techniques

TL;DR

This paper introduces a novel image processing-based method for measuring instrument data by capturing display images with a camera, enabling accurate data acquisition without direct cable connections.

Contribution

The paper presents a new approach combining computer vision and machine learning to extract numerical data from instrument displays using image capture.

Findings

Effective extraction of measurement data from instrument displays.

High accuracy demonstrated in magnetic field measurement case.

Applicable in scenarios where direct connection is impractical.

Abstract

Measuring instruments are vital for obtaining accurate data in various fields, including scientific research, engineering, and manufacturing. However, data acquisition can be challenging, particularly when direct cable connections are not feasible or difficult to establish. In this paper, we propose a novel method for measuring instrument data acquisition utilizing a camera to capture the instrument display and image processing techniques to extract the measured values. Our method combines computer vision and machine learning techniques to recognize and extract numerical values from the instrument display. We demonstrate the effectiveness and accuracy of this approach by applying it to capture the magnetic field of a permanent magnet using a gauss meter and webcam. Our results indicate that the proposed method offers a practical and accurate solution for data acquisition in cases where direct cable connections are not possible. This method has potential applications in scientific research, engineering, and manufacturing industries.