Car Parking System using ALPR and CPS
M.Madhuram1, Logitha Anandan2, Harika.K3, Avula hanumayamma4
1M.Madhuram*, Assistant Professor, SRM Institute of Science and Technology, Chennai, India.
2Logitha Anandan, UG Scholar, SRM Institute of Science and Technology, Chennai, India.
3Harika.K, UG Scholar SRM Institute of Science and Technology, Chennai, India.
4Avula hanumayamma, UG Scholar SRM Institute of Science and Technology, Chennai, India.
Manuscript received on September 21, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 6233-6236 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1886109119/2019©BEIESP | DOI: 10.35940/ijeat.A1886.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: IoT has become the greatest demand these days due to automation. Every system that helps us on a daily basis has improvised to an internet of things where data are transferred with no human to human or human to computer interaction. There are numerous projects over IoT parking lots, but the efficiency of the system for the underlying demand of the fast world with huge data is yet to be satisfied. In the existing system, using proximity sensor, the parking lots are checked if full and the end-user is notified through app or token for the vacant space and when the lots are full the gate remains closed until space is free to park. In the proposed system the capacitive proximity sensors are used to calculate the dimensions of a car to categories them into macro, sedan, and SUV models and provides the exact level to park. The automatic license plate recognition (ALPR) is used to note the minimum time of parking used by the particular car on two or many occurrences by calculating their mean, thus making efficient usage of space and time for a thriving smart city.
Keywords: Alpr, Cps, Iot, Macro, Smart Parking.