Car Parking Slot Detection using Convolutional Neural Networks

Car Parking Slot Detection using Convolutional Neural Networks

Prof. Mukund Kulkarni, Tanish Modase, Komalesh Patil, Tushar Muley, Chetan Patil, Aditya Pachore

Department of Electronics Engineering

Vishwakarma Institute of Technology

Pune, India

Abstract - Finding a parking spot has become a problem that must be addressed; it takes time and effort. Finding a parking place, especially in metropolitan locations, is a massive pain. This study tries to build one such parking system that decreases the inconveniences of parking in a variety of ways. The study describes a system that uses a Convolution Neural Network (CNN) machine learning model to evaluate parking slots in a parking spot as vacant or filled. Parking troubles are not restricted to creating annoyance to cars; they may also develop far larger and more widespread issues, affecting a considerably larger number of people and the environment. As a result, having a reliable parking infrastructure is essential. The technique presented in the research communicates parking information to a driver in advance, considerably decreasing the time spent waiting for a car.

Keywords - Convolutional Neural Network (CNN), Machine Learning, Deep Learning, Image Processing, Computer Vision