基于图像识别的仪表数据采集系统设计

Design of Instrument Data Acquisition System Based on Image Recognition

摘要:

在电子产品生产或测试中,需要记录仪器仪表的数据,以便对产品的工作状态和性能进行分析。在仪器仪表不具备通讯接口的情况下,为了提高数据采集的效率,本文设计了一种基于图像识别的仪表数据采集系统。该系统主要包括摄像头,计算机以及用MATLAB编写的上位机软件。上位机软件首先通过摄像头获取包含仪器仪表的图像,然后截取仪器仪表中包含数据的区域,最后通过基于神经网络的图像识别算法识别截取区域的字符并存储为可以编辑的文本格式。通过测试,本设计识别仪表上字符的准确率达到98%以上。

Abstract:

In the production or testing of electronic products, it is often necessary to record the data of instruments in order to analyze the working state and performance of products. If the instrument does not have a communication interface, an instrument data acquisition system based on image recognition is designed to improve the efficiency of data acquisition in this paper. The system mainly includes camera, computer and software written in MATLAB. The software first acquires the image of the instrument through the camera, then chooses the area containing data in the instrument, and finally identifies the character of the selected area through the image recognition algorithm based on neural network and stores it in the editable text format. Through the test, the accuracy rate of the character recognition is more than 98%.