Intelligent Vehicle Monitoring System using Wireless Communication

被引:0
作者
Ananthanarayanan, Nilesh [1 ]
机构
[1] Sri Venkateswara Coll Engn, Dept Elect & Commun Engn, Sriperumbudur 602105, India
来源
2013 INTERNATIONAL CONFERENCE ON ADVANCES IN TECHNOLOGY AND ENGINEERING (ICATE) | 2013年
关键词
Call detection; Wireless/Mobile Communication; Mobile bug; Speed sensors; Vehicle Monitoring; GSM Modem; GPS based vehicle tracking system; Call Notification;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The use of mobile phones while driving is one of the most dangerous and widely seen causes of fatal road accidents. The objective of the paper is to develop a device to find people who use mobile phones while driving and evade from stringent laws enforced by the government easily. This novel and ingenious technique facilitates the government to take adequate action against those who are violating these laws. To meet the requirements of an intelligent vehicle monitoring system, this architecture integrates Global Position System (GPS), Global System for Mobile communications (GSM) and a Microcontroller in the whole. This device is used to prevent texting and calling of mobile phones while driving vehicles. If the driver is using the phone while the vehicle is in motion, it triggers a signal which notifies the cops with the vehicle's number plate and the location with the help of GPS system. It receives the mobile signal and detects the presence of mobile. This signal eventually triggers the microcontroller with a glowing LED. Due to the voltage fluctuation, the message is sent to the cops using GSM communication.
引用
收藏
页数:5
相关论文
共 50 条
[21]   The complexity of problems in wireless communication [J].
Lingsheng Shi ;
Huandong Wang .
Telecommunication Systems, 2017, 65 :419-427
[22]   Artificial Neural Network-Based Smart Energy Meter Monitoring and Control Using Global System for Mobile Communication Module [J].
Kumari, P. Ashwini ;
Geethanjali, P. .
SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2018, VOL 2, 2020, 1057 :1-8
[23]   Smart Home System Using A Wireless Sensor Network For Elderly Care [J].
Gnanavel, R. ;
Anjana, P. ;
Nappinnai, K. S. ;
Sahari, N. Pavithra .
2016 SECOND INTERNATIONAL CONFERENCE ON SCIENCE TECHNOLOGY ENGINEERING AND MANAGEMENT (ICONSTEM), 2016, :51-55
[24]   Anomaly detection method applied to vehicle monitoring [J].
Garcia, P. ;
Agard, B. ;
Saunier, N. .
IFAC PAPERSONLINE, 2022, 55 (10) :3064-3069
[25]   Private and Secure Machine Learning in Wireless Mobile Communication [J].
Sanon, Sogo Pierre ;
Tetteh, Josephine N. A. ;
Reddy, Rekha ;
Schotten, Hans Dieter .
2023 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2024,
[26]   Design and Implementation of Water Environment Monitoring System using GSM Technology [J].
Telgote, Aparna M. ;
Narayanan, Vishnu ;
Dave, Navid Ahmed N. .
2015 INTERNATIONAL CONFERENCE ON TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT (ICTSD-2015), 2015,
[27]   Web Based Patient Health Monitoring System using Raspberry Pi [J].
Sunehra, Dhiraj ;
Ramakrishna, Pini .
PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2016, :568-574
[28]   An Efficient Real-Time Vehicle Monitoring Method [J].
Ye, Zhoujing ;
Wei, Ya ;
Zhang, Weidong ;
Wang, Linbing .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (11) :22073-22083
[29]   MOVE in ROAD: Multi-objective Vehicle Monitoring Using River Formation Dynamics and Deep Learning Algorithms [J].
Guravaiah, Koppala ;
Dharavathu, Niharika Naik ;
Udutalapally, Venkanna ;
Rangaraj, Leela Velusamy .
WIRELESS PERSONAL COMMUNICATIONS, 2024, 137 (04) :2281-2302
[30]   Development of an Intelligent System for Bank Security [J].
Khera, Neeraj ;
Verma, Amit .
2014 5TH INTERNATIONAL CONFERENCE CONFLUENCE THE NEXT GENERATION INFORMATION TECHNOLOGY SUMMIT (CONFLUENCE), 2014, :319-322