A Smart and End to End approach for Detecting free Parking Lots Using Neural Network

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Shuvam Bhattacharjee, Ritik Khandelwal, Kanishk Malik, Sellam. V

Abstract

Parking a vehicle is one the most difficult and tedious tasks that annoys most of us on a daily basis. Our aim is to make a system that helps us to make this task to automate and help us find a parking spot as near as possible. In this paper we aim to find a parking spot in a city so that users can while traveling to their destination can find a parking spot near to their destination and can book it just before they arrive. Our system works using a neural network and lives image dataset so that it works in real time. And we can present our output to the user in their phone so that they can check and choose their parking spot. We aim to use private, public and roadside parking spots in this paper.

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How to Cite
Shuvam Bhattacharjee, Ritik Khandelwal, Kanishk Malik, Sellam. V. (2021). A Smart and End to End approach for Detecting free Parking Lots Using Neural Network. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(6), 4470–4477. https://doi.org/10.17762/turcomat.v12i6.8433
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