深度学习技术在非机动车违规管控中的应用

Application of Deep Learning Technology in Non-motor Vehicle Violation Control

文章阐述了深度学习技术在非机动车违规管控中的应用与研究。结合当前非机动车管控中存在的难点问题,从研究背景、深度学习应用、管控平台架构、模型表现力、现场实测效果等方面进行了阐述,旨在对非机动车的各项违规行为进行管控。

This article elaborates on the application and research of deep learning technology in the control of non motor vehicle violations.Based on the current difficulties in the control of non motor vehicles,this article elaborates on the research background,deep learning application,control platform architecture,model expressiveness,and on-site measurement results,aiming to control various violations of non motor vehicles.