电动车违法管控解决方案

大华电动自行车违法管控方案采用“物联网RFID+视频”融合技术，对电动自行车闯红灯、逆行、占用机动车道等7类违法行为进行自动取证，同时对车辆身份实现精准认定，为执法处罚提供有力依据。 系统架构分为前端感知、传输、应用、展示四层，核心产品介绍如下：电子车牌是电动自行车身份信息的电子化载体，是电动自行车的“电子身份证”。电子车牌采用复合材料，抗信号屏蔽，满足抗衰老性能、防撞击性能要求，电子标签封装于车牌内部，隐蔽防拆卸。 路面基站设备包括天线和读写器，采用面对面识别原理，具有单点辨别方向的能力，可准确感知电子车牌，并识别电动自行车身份信息，实现身份信息获取和违法行为的快速精准识别。 中心管理平台负责前端设备的统一接入管理，过车记录查询，车辆布控，电动自行车闯红灯、逆行、占道、载人、不带安全头盔、安装伞具、越线停车、闯禁提醒等功能。

DaHua's electric bicycle illegal behavior control scheme adopts the integrated technology of Internet of Things (IoT) RFID and video. It can automatically collect evidence for 7 types of violations of electric bicycles, including running red lights, reverse driving, occupying motor vehicle lanes, etc., and accurately identify the vehicle identity, providing solid evidence for law enforcement and penalties.
The system architecture is divided into four layers: front-end perception, transmission, application and display. The core products are introduced as follows:
The electronic license plate is the electronic carrier of the identity information of electric bicycles, serving as the "electronic ID card" of electric bicycles. Made of composite materials with signal shielding resistance, it meets the requirements of anti-aging and anti-collision performance. The electronic tag is encapsulated inside the license plate, making it concealed and anti-dismantling.
The roadside base station equipment includes antennas and readers, adopting the face-to-face recognition principle and having the capability of single-point direction identification. It can accurately perceive the electronic license plate, identify the identity information of electric bicycles, and realize rapid and accurate acquisition of identity information and identification of illegal behaviors.
The central management platform is responsible for the unified access management of front-end equipment, vehicle passing record query, vehicle surveillance and control, as well as functions including reminders for running red lights, reverse driving, occupying lanes, carrying passengers, not wearing safety helmets, installing auxiliary umbrellas, stopping beyond the stop line, and violating prohibited access restrictions for electric bicycles.

AI搜集汇总

背景与挑战

背景概述

该数据集是浙江大华技术股份有限公司提供的电动车违法管控解决方案，采用'物联网RFID+视频'融合技术，用于自动抓拍电动自行车的7类违法行为并精准识别车辆身份。方案旨在提高交通管理效率和驾驶人出行安全，为交通组织管理提供数据支撑。