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.
CITATION STYLE
Farheen, A., Ashwini, S., Priyanka, K. G., Divya, P. R., & Bhagya, R. (2019). IoT Based Traffic Management in Smart Cities. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 26, pp. 1045–1052). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03146-6_121
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