• Sanchal Ramteke

The number of vehicles/traffic increases exponentially on a daily basis. Due to this, terrible congestion problems in cities are observed. Road congestion eventually results in slow motion, which increases travel time. Infrastructure growth is slower compared to vehicle growth due to space and cost constraints, which is why the system of identification/control of vehicles is recognized worldwide. Detection of objects is a difficult problem in the application of computer vision and image processing. So, video surveillance is gaining importance in this challenge. Certain applications such as improving congestion in traffic, providing Very Important vehicle priority, detecting the stolen vehicle, etc. requires automatic identification /control of vehicles. Hence, as a small step towards this proposed model, the idea is to lead the background subtraction in accurate detection along with the usage of hardware, like RFID sensors and Arduino and good quality camera.

Vehicle spotting, Vehicle Priority, RFID, Background subtraction, Recognition and Identification of Vehicle, Arduino.

"SURVEY ON VEHICLE DETECTION AND RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.320_322, June-2019, Available :http://www.jetir.org/papers/JETIR1906N97.pdf

"SURVEY ON VEHICLE DETECTION AND RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp320_322, June-2019, Available at : http://www.jetir.org/papers/JETIR1906N97.pdf