SMART CITY LIGHT SCANNER USING RAMBLER

Abstract

In metropolitan cities streetlights with poor lighting cause vehicle accidents and may provoke theft or murder
during nights. Predicting faulty post lamp can maintain proper lighting in street roads. At present, faulty post lamps are
checked regularly by electrician but takes long time to repair. Existing researches concentrate on incorporating sensors
with wireless networks into each street lamp. There is a problem in interfacing the wireless networks with the existing
lighting circuit and also it is more expensive than required for installing lamps. Hence a smart lighting system must be
considered. A sophisticated system named as Rambler which is laid on the top of fixed route vehicles, collects
illumination readings and location of streetlights along the route the vehicle traverse. The collected reading will be
transmitted to PC and by using MATLAB’s Graphical User Interface Design Environment (GUIDE), Luminance Map
(LMap) will be created. By finding the difference between different LMaps found at different times, location of faulty
streetlights can be identified. To avoid erroneous LMap, Inspection Point (IP) is to be installed at 2m above the ground of
one or two street lamps which provide ground-truth value of illumination reading. The proposed method does not require
modification of vehicle and street lamp. The proposed system can be used in metropolitan cities possibly in highways.
This system can be used as an alternative system for detecting faulty street lamps in an efficient manner.