基于深度学习的车辆检测系统设计

Design of Vehicle Detection System Based on Deep Learning

本文以光缆保护为设计案例,对大量文献资料分析,研读车辆识别现状,以深度学习理论及技术为支撑,重点对车辆检测系统的运动目标提取、图像预处理和车辆识别分类等模块进行需求分析与设计,基本达到对光缆的警报和保护作用。

Based on optical fiber cable protection design case,to a large number of literature data analysis,the study of present situation of vehicle identification,supported by deep learning theory and technology,the key of vehicle detection system of moving object extraction,image preprocessing,and classification of vehicle identification module needs analysis and design,achieves the alarm and protection of cable.