Title :
The Internet-of-Things framework for campus-vehicle early warning
Author_Institution :
Dept. of Phys. & Electron. Eng., Hechi Univ., Yizhou, China
Abstract :
The internet of things technology can be introduced into campus-vehicle management system to solve some existing defects in safety and efficiency. Based on relevant key technologies, the paper, for all the vehicles in campus, advocates a networked warning framework which can realize the daily automatic management and safety-warning function of vehicles in campus, so as to ensure the safety of vehicles in custody.
Keywords :
Internet; alarm systems; educational institutions; road safety; road vehicles; traffic information systems; Internet of things technology; Internet-of-things framework; campus vehicles; campus-vehicle early warning; campus-vehicle management system; daily automatic management; networked warning framework; safety and efficiency; safety-warning function; vehicles safety; Information management; Internet; Logic gates; Radiofrequency identification; Robots; Vehicles; Wireless sensor networks; Framework; internet of things; the vehicle early warning;
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
DOI :
10.1109/ISRA.2012.6219245