基于图像数字识别技术的非标检测系统集成设计与开发

Integrated Design and Development of Non-Standard Detection System Based on Image Digital Recognition Technology

针对“非标检测设备”目前存在的问题与现状,本文提出基于图像数字识别技术的非标检测系统集成设计与开发。系统主要分为硬件设计及软件编程两部分。其中,硬件部分主要由非标检测设备自带的存储设备或数字高清实时摄像采集系统组成。软件部分以Python为基础语言,对比后选取百度开源的ocr检测 + 识别系统(PP-OCRv3)作为软件部分数字识别的基础系统来实现多种非标检测系统的系统集成与对比。在完成系统硬件构建及软件编程的基础上,选取数字高精度频率计作为动态数据源对本文所设计系统进行动态数据识别性能测试。系统性能测试结果表示:本文所述系统针对动态数字可实现及时迅速的有效数字识别,在识别准确率、动态响应方面表现出一定的优异特性。这在非标检测系统集成设计方面具有一定的实际应用价值。

In response to the current problems and current situation of “non-standard detection equipment”, this article proposes the integrated design and development of non-standard detection systems based on image digital recognition technology. The system is mainly divided into two parts: hard-ware design and software programming. Among them, the hardware part is mainly composed of storage devices or digital high-definition real-time camera acquisition systems that come with non-standard detection equipment. The software part is based on Python as the basic language, and after comparison, the OCR detection and recognition system (PP-OCRv3) from Baidu Open Source is selected as the basic system for digital recognition in the software part to achieve system integra-tion and comparison of multiple non-standard detection systems. On the basis of completing the system hardware construction and software programming, a digital high-precision frequency meter was selected as the dynamic data source to test the dynamic data recognition performance of the system designed in this article. The system performance test results indicate that the system described in this article can achieve timely and efficient digital recognition for dynamic numbers, and exhibits certain excellent characteristics in recognition accuracy and dynamic response. This has certain practical application value in the integration design of non-standard detection systems.