IoT Based Traffic Management in Smart Cities

被引：0

作者：

Farheen, Asma ^{[1
]}

Ashwini, S. ^{[1
]}

Priyanka, K. G. ^{[1
]}

Divya, P. R. ^{[1
]}

Bhagya, R. ^{[1
]}

机构：

[1] RV Coll Engn, Dept Telecommun, Bengaluru, India

来源：

INTERNATIONAL CONFERENCE ON INTELLIGENT DATA COMMUNICATION TECHNOLOGIES AND INTERNET OF THINGS, ICICI 2018 | 2019年 / 26卷

关键词：

Traffic congestion; Cloud (Thing Speak); Image processing; Vehicle density; RGB object;

D O I：

10.1007/978-3-030-03146-6_121

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Due to the overgrowing urban population around the globe, traffic congestion has become a major problem in cities. A traffic management prototype is developed and it comprises of IP Webcam to capture the image of vehicles for detection of vehicle density by using Area and Color segmentation (RGB) technique and this information is updated and stored in cloud (Thing Speak) for the ease of drivers. In Image processing, Character Recognition method is used to detect the driver who evades the traffic signal by vehicle's number plate using IR sensor. GSM module is incorporated in the hardware to send message to police and driver intimating about the fine charges.

引用

页码：1045 / 1052

页数：8

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