杭州师范大学学报（自然科学版）2024，Vol.23Issue(4)：439-445,7.DOI:10.19926/j.cnki.issn.1674-232X.2023.04.211
基于边缘智能设备的滚装电梯载客异常检测方法及实验系统
An Elevator Passenger Abnormality Detection Method and Experimental System Based on Edge Intelligence
汪猛 1董利达 1董文 1张慧熙1
作者信息
- 1. 杭州师范大学信息科学与技术学院,浙江 杭州 311121
- 折叠
摘要
Abstract
At present,the common server architecture based ro-ro elevator passenger anomaly detection system has the problem of communication delay and high cost.This paper proposes a method of ro-ro elevator passenger anomaly detection based on edge intelligence.This method uses YOLO v3-R network optimized with YOLO v3 inference speed as the target detection algorithm.The specific work content is divided into offline and online parts.The offline part includes hardware selection,YOLO v3-R network training and deployment,etc.The online part includes video collection,abnormal passenger detection and judgment.On this basis,a ro-ro elevator abnormal detection experimental system based on Jetson Nano hardware platform is developed.The system does not need network communication,has high reliability,low cost,and real-time reasoning speed can reach 1.96 frames per second.关键词
边缘智能/Roofline模型/YOLO/电梯安全/异常检测Key words
edge intelligence/Roofline model/YOLO/elevator safety/abnormality detection分类
信息技术与安全科学引用本文复制引用
汪猛,董利达,董文,张慧熙..基于边缘智能设备的滚装电梯载客异常检测方法及实验系统[J].杭州师范大学学报（自然科学版）,2024,23(4):439-445,7.
