Park Assist: A Deep Convolution Neural Network based Parking Assistant system

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Sukhdeep Sharma
Aayushya ‎
Dr. Madhumita Kathuria
Pronika Chawla


With the proliferation in number of vehicles an unnoticeable problem regarding parking of these vehicles has emerged in places like shopping complexes where current car parking facilities are incapable of managing the parking of vehicles without human labour . Even in current automated PGI’s human labour is required in some or the other way . Motivated by the affordable and remarkable performance of Convolutional Nueral Network in various image classification tasks, this paper presents a review on the automated parking systems based on the CNN technique . The classifier are trained and tested by deep learning of nueral network thus using of PHP and HTML to

create the UI and knowledge of MySQL to create a database to store information about vehicles .Similarly by converting the process into three small procedures we will be able to evaluate the bill in accordance to the timestamp of the parked vehicle without the use of human efforts.

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How to Cite
Sharma, S., ‎A., D. M. Kathuria, and P. Chawla. “Park Assist: A Deep Convolution Neural Network Based Parking Assistant System”. International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 8, no. 6, June 2020, pp. 14 -18, doi:10.17762/ijritcc.v8i6.5410.