International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
Innovating Urban Spaces: A Smart Parking Odyssey with Image Processing and IoT Yash Kulkarni1, Yash Sune2 Yash Kulkarni Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Information Technology, Pune. Yash Sune Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Information Technology, Pune. -----------------------------------------------------------------------***---------------------------------------------------------------------Abstract - Efficient and smart way to automate the to provide real-time insights into parking availability, management of the parking system that allocates an efficient streamline parking operations, and improve overall user parking space using internet of things technology. The IoT experience. provides a wireless access to the system and the user can keep 1.2 Integration of Image Processing and IoT a track of the availability of the parking area. With increase in the population of the vehicles in metropolitan cities, road congestion is the major problem that is being faced. The aim of This research project delves into the realm of smart parking this paper is to resolve this issue. The user usually wastes his systems, presenting a novel approach that integrates image time and efforts in search of the availability of the free space in processing and Internet of Things (IoT) technologies to create a a specified parking area. The parking information is sent to real-time parking management solution. By combining the the user via notification. Thus, the waiting time for the user in power of computer vision with IoT connectivity, the proposed system offers a transformative solution to the search of parking space is minimised. challenges of traditional parking systems, promising Keywords: Image processing, Internet of Things (IoT), improved efficiency, convenience, and sustainability in urban Raspberry Pi, IR sensors, Servo motor, USB camera, parking infrastructure. OpenCV, ThingSpeak, Parking occupancy detection, 1.3 Objectives of the Study Vehicle detection, Number plate recognition, Realtime monitoring, Urban mobility, Smart city The primary objective of this study is to develop and evaluate technologies, Parking management, Sustainability a Smart Parking System that utilizes image processing techniques for number plate detection and IoT connectivity 1. INTRODUCTION for real-time monitoring of parking spaces. The system aims Urbanization has led to numerous challenges, and one of the to address key issues such as the accurate identification of most pressing issues faced in metropolitan areas is the available parking slots, efficient utilization of parking management of parking spaces. With the increasing number resources, and enhanced user experience for both drivers and of vehicles on the roads, traditional parking systems struggle parking administrators. to keep up with the demand, leading to congestion, 2. LITERATURE REVIEW frustration, and inefficiency. In response to this growing problem, there has been a rising interest in developing [1] Smart parking systems have emerged as vital solutions to innovative solutions that leverage cutting-edge technologies address the challenges of urban parking management. These to optimize parking. systems leverage advanced technologies such as sensors, data analytics, and connectivity to optimize parking operations 1.1 Rise of Smart Parking Systems and improve user experience. According to research by In response to the mounting challenges of urban parking, Kianpisheh et al. (2017), smart parking systems have there has been a surge of interest in developing demonstrated significant potential in reducing traffic innovative solutions that leverage cutting-edge technologies congestion and emissions by providing real-time information to optimize parking management and enhance the urban on parking availability to drivers. living experience. Smart parking systems have emerged as a promising avenue for addressing the shortcomings of [2] Image processing techniques play a crucial role in smart traditional parking systems. These systems harness advanced parking systems, particularly in the automated detection and technologies such as sensors, data analytics, and connectivity recognition of vehicle number plates. Researchers have
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