Proceedings ArticleDOI
Smart Parking System using Cloud based Computation and Raspberry Pi
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TLDR
In this project a smart parking feature is discussed which enables a user of find a parking location and a free slot in that parking space inside a city and reduces the fuel consumption and standard of living.Abstract:
The internet of things plays a vital role in interconnection and automation of various physical devices, vehicles, home appliances and other things. With the help of software, various sensors, actuators, these objects connect and exchange data. This automation of devices enhances a person’s standard of life and way of living, which is a need of future. A similar need is discussed in this paper. In this project a smart parking feature is discussed which enables a user of find a parking location and a free slot in that parking space inside a city. This project focuses on reducing time wasted on finding parking space nearby and on going through the filled parking slots. This in turn reduces the fuel consumption and standard of living.read more
Citations
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Journal ArticleDOI
An IoT Raspberry Pi-based parking management system for smart campus
TL;DR: An IoT Raspberry Pi-based parking management system (IoT-PiPMS) to help staff/students to easily find available parking spots with real-time vision and GPS coordinates, all by means of a smartphone application.
Journal ArticleDOI
A Smart Indoor Parking System
TL;DR: In this article, the authors proposed a method that will be simple and efficient for the user, which helps to manage the indoor parking system automatically starting from detection of vehicle, vehicle license plate detection, and recognition using Convolutional Neural Network (CNN), and then, license plate is matched with the registered license plate which is saved in a parking database while doing registration to park the vehicle for allocating automatic parking slot.
Artificial Intelligence Enabled Smart City IoT System using Edge Computing
Lakshmi Narayana Thalluri,Srikhakolanu Naga Venkat,Chintha Veera Venkata Durga Prasad,Dakavarapu Vinay Kumar,Kumpati Pavan Kumar,Addepalli V S Y Narayana Sarma,Sai Divya Adapa +6 more
TL;DR: In this article, an artificial intelligence (AI) enabled smart city IoT system using edge computing is developed. And the main motivation of this project is to prevent from unexcepted pollution levels in air, water, etc., that causes harmful to the health and also to the nature.
Posted Content
Design and Implementation of User-Friendly and Low-Cost Multiple-Application System for Smart City Using Microcontrollers.
TL;DR: The proposed system has seven main contributions, i.e., Smart street lights, Smart home, Bio-metric door and home security system, Intelligent traffic lights management and roadSecurity system, Private and smart parking, Intelligent accident management system and Smart information display/ notice board system.
References
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Proceedings ArticleDOI
An IoT-based E-parking system for smart cities
TL;DR: A prototype of internet-of-thing based E-parking system that uses an integrated component called parking meter to address the above-mentioned issues as well as to provide smart parking management throughout the city.
Proceedings ArticleDOI
Smart parking systems: A survey
TL;DR: The concept of smart parking system, their categories and different functionalities, and the latest developments in parking infrastructures are described to see how they are utilized in different settings.
Proceedings ArticleDOI
Low cost smart parking system for smart cities
TL;DR: The proposed parking system contains an IoT module deployed on-site for managing the available parking spaces and a platform provided in the form of portal for booking the parking spaces.
Proceedings ArticleDOI
Smart parking system for Internet of Things
TL;DR: Using ultrasonic and magnetic sensor, the proposed system detects vehicles in indoor and outdoor parking fields, accurately, and supports a vehicle location service in parking lots using BLE.
Proceedings ArticleDOI
Smart urban parking detection system
TL;DR: This paper proposes a novel solution by providing motorists with real-time information about the availability of spots in parking spaces through a smartphone application, designed for different types of parking zone.