基于深度学习的监控图像信息目标检测系统设计

Design of target detection system for surveillance image information based on deep learning

由于传统的监控图像目标检测系统的监测通用性受限,导致其监控较高较差,文章基于深度学习设计新的监控图像信息目标检测系统。该系统硬件部分包括数字信号处理器、CDD图像采集器和TMSDM642储存器,软件部分首先采集监控图像目标检测信息,其次基于深度学习构建了监控图像训练框架,最后设计系统的功能模块,实现了监控图像信息目标检测。通过系统测试表明,文章设计的监控图像信息目标检测系统的检测速度较快,证明该系统的性能良好,有一定的应用价值。

Because of the limited generality of the traditional monitoring image target detection system,its monitoring is relatively high and poor. This paper designs a new monitoring image information target detection system based on deep learning. The hardware part of the system includes digital signal processor,CDD image collector and tmsdm 642storage. The software part first collects the monitoring image target detection information,then constructs the monitoring image training framework based on deep learning,and finally designs the functional module of the system to achieve the monitoring image information target detection. The system test shows that the monitoring image information target detection system designed in this paper has a fast detection speed,which proves that the system has good performance and has certain application value.