Smart Parking System Using Color QR Code
In today’s world, parking area constitutes nearly most of traffic congestion is caused by vehicles cruising around their destination and looking for a place to park. Due to this reason many day-to-day activities are affected such as waste of time, fuel wastage, frustration to drivers, theft fear, pollution etc. These factors motivated to pave a new method for smart parking system. In this method the detection is reliable, even when tests are performed using images captured from a different viewpoint. It also provides to design a highly reliable & compatible image segmentation measures for parking slot identification system and a user key driven data base measures to detect the vehicle using theft alarm system.
Soo-mok Lee,Seung-Woo Seo, Available Parking Slot Recognition based on Slot Context Analysis, IET Intelli. Trans. Sys. 10 (2016).
Giuseppe Amato, Fabio Carrara, FabrizioFalchi, Claudio Gennaro and Claudio Vairo, Car Parking Occupancy Detection Using Smart Camera Networks and Deep Learning,( 2016).
Junzhao Liu, Mohamed Mohandes, Mohamed Deriche, A Multi-Classifier Image Based Vacant Parking Detection System,(2013) 933-936.
P.Lu,X.Lin,H.Zhu, SPARK Vanet based smart parking scheme for large parking lots, (2009).
Sayanti Banerjee, Pallavi Choudekar, M.K. Muju, Real Time Car Parking System Using Image Processing, (2011).
K.Kaarthik, A. Sridevi, C. Vivek, Image Processing Based Intelligent Parking System, 2011.
Imen Masmoudi, Ali Wali, Anis Jamoussiand Adel M. Alimi, Vision based System for Vacant Parking Lot Detection, VPLD (2013).
Hilal Al-Kharusi, Ibrahim Al-Bahadly, Intelligent Parking Management System Based on Image Processing, World J. Eng. Tech., 2 (2008) 55-67.
Xiao Ling, Jie Sheng, Orlando Baiocchi, Xing Liu, Matthew E.Tolentino, Identifying Parking Spaces & Detecting Occupancy Using Vision-based IoT Devices, (2017).
Copyright (c) 2019 Sarat Kumar sahoo, Rashmita khilar, Samiksha Nayak, Mary Rexcy Asha, Ann Jerin Amalorpavaraj
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