现代电子技术2025，Vol.48Issue(6)：118-126,9.DOI:10.16652/j.issn.1004-373x.2025.06.019
基于视觉技术的X、γ剂量率仪数字识别系统
X、γ doserate meter digital recognition system based on computer vision technology
王雨青 1黄政林 2刘新昊 2李英帼 2韦应靖3
作者信息
- 1. 中国辐射防护研究院,山西 太原 030006||辐射安全与防护山西省重点实验室,山西 太原 030006||中核集团辐射防护技术重点实验室,山西 太原 030006
- 2. 中国辐射防护研究院,山西 太原 030006
- 3. 中国辐射防护研究院,山西 太原 030006||清华大学 核能与新能源技术研究院,北京 100084
- 折叠
摘要
Abstract
In order to improve the automation degree of X、γ doserate meters verification and calibration,a X、γ doserate meter digital recognition system based on computer vision technology is proposed.The system can realize camera video acquisition,collected image preprocessing,text detection and recognition of instrument images and post-processing of recognition results.DBNet and CRNN-CTC(convolutional recurrent neural network-connectionist temporal classification)are used as text detection and text recognition model,respectively,and the impact of different backbone networks on models is compared.After balancing accuracy and speed indicators,MoblieNetV3 is selected as the backbone network for text detection and recognition model.The recognition tests were conducted on 32 common X、γ doserate meters.The results show that after the filtering algorithm,the instrument recognition accuracy can reach 100%.For most of the instruments,the use of digital recognition system can improve the efficiency of more than 20%,but for the display interface refresh area of large instruments,the camera is difficult to identify,still need manual verification.关键词
数字识别系统/机器视觉技术/深度学习/图像处理/文本检测/文本识别/计量检定Key words
digital recognition system/machine vision technology/deep learning/image processing/text detection/text recognition/metrological verification分类
电子信息工程引用本文复制引用
王雨青,黄政林,刘新昊,李英帼,韦应靖..基于视觉技术的X、γ剂量率仪数字识别系统[J].现代电子技术,2025,48(6):118-126,9.
