文献类型：会议论文

英文题名：A Novel Flame Detection System Based on Embedded GPU

作者：Ye, Jiongyao[1];Wang, Hengxiao[1];Wang, Nan[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

会议论文集：3rd International Conference on Information Systems Engineering (ICISE)

会议日期：MAY 04-06, 2018

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：flame detection; embedded GPU; OpenVX

摘要：In the field of security monitoring, flame detection system is used to realize large-scale, high-precision and real-time monitoring. Traditional flame detection systems have many problems, such as higher cost, less flexibility, low precision, small scale and poor real-time performance. In this paper, a novel flame detection system based on embedded GPU is proposed to achieve a high-precision and real-time flame detection. The flame detection algorithm is optimized to meet the requirements of high precision, and the hardware acceleration of the flame detection algorithm is realized by using OpenVX framework to satisfy real-time processing restriction. The experimental results show that the system can achieve accurate real-time monitoring of the flame on many occasions. Compared with the use of the PC server, embedded system can reduce the cost of system, increase the scope and flexibility of the monitoring. Furthermore, the powerful parallel computing ability of GPU enables the system to meet the real-time requirements, so the system has a certain practical value.