• Karthika .I
• Adaya Prakash
• Aravindan.S
• Bavadharani.N

Internet of things (IOT) is a group of all devices fixed with electronics, Software, Sensors, and Network connectivity used to connect and switch over data. It has applied to several fields like Agriculture, Healthcare, Smart home and Transportation. This paper focuses the activities of collecting tax from the vehicle. Traditionally, Collecting tax from the vehicle can be done by manually (i.e.) a labor has been involved for collecting the tax from the vehicles. This Method has several drawbacks of Time consuming; Queuing of Vehicles (Traffic) that emits carbon di oxide will affect the Environment. Moreover, this method has a probability of causing human errors. To overcome the above drawbacks, Process of Tax collection from vehicles can be automated. For automating the above process, Radio frequency Identifier (RFID) can be used. RFID is a wireless technology that uses radio waves to identify the vehicle. Due to High cost and malfunction error, Open Computer vision has been applied to capture the vehicle Number plate accurately and efficiently. In addition to this, Vehicle theft detection can be incorporated which detects the theft vehicle in toll gate by comparing the Vehicle Number plate data with data registered in Road Transport Office (RTO). If so, it will automatically send the notification message to the mobile number of vehicle owner which is registered in RTO. It overcomes the weakness of manual toll collection, RF tags, thereby enabling a more efficient toll collection by reducing traffic and eliminating possible human errors.

Internet of Things (IOT), Radio Frequency Identification (RFID), Number Plate Recognition, Road Transport Office (RTO)

"Automatic Toll Collection System Using OpenCv", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.364-366, March-2018, Available :http://www.jetir.org/papers/JETIR1803074.pdf

"Automatic Toll Collection System Using OpenCv", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp364-366, March-2018, Available at : http://www.jetir.org/papers/JETIR1803074.pdf