Revolutionizing Smart-City Parking: An IoT Model using Convolution Neural Network for Intelligent Parking Management

Nikhil Gupta¹, Shubham Sharma²*, Saket Kumar³, Sudhanshu Kumar⁴ and Anand Prakash^5
2Technology Consultant-Virtusa, India
^1,3,4,5GNIOT, Greater Noida, India
*Corresponding Author: Shubham Sharma, Technology Consultant-Virtusa, India.

Published: June 28, 2023

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Abstract  

In this paper we are trying to proposed a model of smart-parking for smart-city. Parking in a city is one of the biggest problems. Many times, it was observed that Instead of finding a parking zone or parking space nearby people park their vehicles on road which in traffic and because of this ambulance stuck in traffic jam which results in death of many patients because they are unable to get medical facilities on time. The objective of this paper is to propose a relevant system that will provide a more accurate location system thus helping in deciding the positioning of the parking system by detecting the free spaces in a parking lot and letting the driver know about the location that can be allocated to him. The system also deals with proving the accuracy that cannot be achieved by global positioning system as this system works on the neural network algorithms that break the information down to a matrix and analyze the data to deduce conclusions that would help find an appropriate parking space for the person on the real time basis. The objective of this paper is to reverse the adverse effect of the wrongly parked vehicles.

Keywords: Smart-City, IoT Model, Convolution Neural Network, Intelligent Parking Management