Parking Assist using Convolution Neural Networks
Swasthi B S1, Anagha R2, Arpitha S3, Sanjay B S4, Harshitha K5
1Swasthi B S*, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
2Anagha R, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
3Arpitha S, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
4Sanjay B S, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
5Harshitha K, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
Manuscript received on July 20, 2020. | Revised Manuscript received on July 28, 2020. | Manuscript published on August 30, 2020. | PP: 248-252 | Volume-9 Issue-6, August 2020. | Retrieval Number: F1379089620/2020©BEIESP | DOI: F1379089620/2020©BEIESP
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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: Parking vehicles are one of the most frustrating tasks that people face these days. Locating an available parking space is a huge headache especially in urban areas. This paper aims to design one such parking system which, in many ways reduces the hassles of parking. The paper presents a system where a Machine Learning model, Convolution Neural Network(CNN) is used to classify parking slots in a parking space into vacant and filled slots. In order to optimize the task of classification, the method of Transfer Learning is implemented in the paper. The problem of parking stands not only limited to causing inconvenience to the drivers, but also escalates to much larger and extensive problems, affecting a lot more people the environment. Hence it is very important to have a system is used parking system in place. The model proposed in the paper sends across parking information to a driver well in advance, there by greatly reducing the waiting time for the vehicle.
Keywords: Convolution Neural Network (CNN),Reset, Transfer Learning, Feature extraction, Parking slot.