基于深度学习的智能车辆扫描系统分析

Analysis of Intelligent Vehicle Scanning System Based on Deep Learning

阐述基于深度学习的智能车辆扫描系统为降低深层卷积神经网络的计算消耗,通过网络模型进行优化,以较为轻量的网络结构取得较高的车辆识别精度,从而提升对车辆的识别速度和识别精度。

This paper expounds the intelligent vehicle scanning system based on deep learning.In order to reduce the computational consumption of deep convolutional neural networks,the network model is optimized to achieve high vehicle recognition accuracy with a relatively lightweight network structure,thereby improving the recognition speed and accuracy of vehicles.