.png){kind=icon}
返回
A pointer meter reading recognition method based on YOLOX and semantic segmentation technology
.png){kind=icon}
PRE
AI
DOI：10.1016/j.measurement.2023.113241.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Pointer meters are extensively employed in power, chemical, automotive, and other modern production processes. To improve the accuracy and robustness of the existing reading recognition algorithms for pointer meters, this research proposed a novel approach based on YOLOX convolutional network and semantic segmentation technology. Firstly, the dial of the target meter is detected from the background image using the YOLOX network. Secondly, the meter's main tick marks, dial center, and pointer are determined by the proposed semantic segmentation solution using the attention U-Net network and then corrected the tilt through perspective transformation. Finally, the accurate reading is achieved by using the enhanced angle method that calculates the reading value using the angles between the pointer and the two most adjacent main tick marks. A series of experiments have been conducted to evaluate the presented approach's feasibility and robustness. The results indicated that the fiducial errors of its reading values are no more than 0.31%.
Keyword:
Pointer meters
Reading recognition
YOLOX
Semantic segmentation
Attention U-Net
期刊
IF:
5.6
论文数:
2.0W
被引数:
5.4W
机构
引用论文
Root Cause Identification of Existing Barriers Detected by People with Disabilities in Air Transport
PREAI
分享收藏Comparative study of layer by layer assembled multilayer films based on graphene oxide and reduced graphene oxide on flexible polyurethane foam: flame retardant and smoke suppression properties.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏Thermal comfort, perceived air quality, and cognitive performance when personally controlled air movement is used by tropically acclimatized persons当热带适应的人使用个人控制的空气运动时，热舒适性，感知的空气质量和认知表现Indoor Air
OAAI
Indoor AirIF0
OAAI分享收藏Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges面向自动驾驶的深度多模式对象检测和语义分割: 数据集、方法和挑战OAAI
OAAI分享收藏Automatic recognition system of pointer meters based on lightweight CNN and WSNs with on-sensor image processing基于轻量级CNN和WSNs的传感器图像处理指针式仪表自动识别系统MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏A pointer meter recognition method based on virtual sample generation technology一种基于虚拟样本生成技术的指针式仪表识别方法MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏
查看更多内容