scholarly journals Smart Parking Guidance System Using 360o Camera and Haar-Cascade Classifier on IoT System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 864-872 ◽  
Keyword(s):  
Video Processing ◽  
Guidance System ◽  
Raspberry Pi ◽  
Parking Space ◽  
Shopping Malls ◽  
Cascade Classifier ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Haar Cascade

Nowadays, smart parking guidance system is a crucial research for people’s convenience. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations who are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on raspberry pi camera module and 360o lens and Haar-Cascade classifier. The image and video processing was by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and camera which was implemented on traditional smart parking system. An analysis was done on the performance of the system where it can detect the parking availability with 99.74% accuracy and which is far better than conventional system including reliability and cost for the parking space guidance system.

scholarly journals Smart Parking Guidance System on IoT

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2793-2798 ◽  
Keyword(s):  
Video Processing ◽  
Guidance System ◽  
Raspberry Pi ◽  
Parking Space ◽  
Shopping Malls ◽  
Public Facilities ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Haar Cascade

Nowadays, smart parking guidance system is a crucial research for people’s convenience where the integrating concept of IoT that include hardware and software with the connection of internet for image or video processing technology is a powerful application which made up a complete smart parking system. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available and cameras are costly and lower in reliability. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on Raspberry Pi camera module and 360o lens that process with De-Warping techniques for the normal view rather than 360-degree view and Haar-Cascade classifier. The image and video processing was done by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and cameras which were implemented on traditional parking guidance system. In the end of the paper, it is proved that prototype based smart parking is the convenient way to find the parking space availability.

Smart Parking System Based on Wireless Sensor Network for Large Parking Lots

2012 ◽  
Vol 195-196 ◽  
pp. 889-894 ◽  
Author(s):  
Mei Yan Zhang ◽  
Li Ping Zhou ◽  
Wen Yu Cai
Keyword(s):  
Sensor Node ◽  
Transmission Function ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Protocol ◽  
Parking Space ◽  
Congested Area ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking

In China, finding a vacant parking space in a congested area or a large parking lot is always time consuming and frustrating. To minimize hassle and inconvenience to the automatic drivers, this paper proposed a novel smart parking system which consists of many parking sensor nodes and one parking gateway in one large parking lot. Parking sensor node is used as vehicle occupancy detector and parking gateway is used as parking lot manager. All parking sensor nodes compose wireless sensor networks with Zigbee transmission protocol. With the GPRS/3G transmission function of parking gateway, large parking lot can provide friendly parking information to the running vehicles and subscribed users. In a word, the proposed novel smart parking system is provided with innovative and practicability.

scholarly journals Parking Availability Indicating Application Using Smart QR Scanning

2021 ◽  
pp. 627-632
Author(s):  
Dr. M. Samayaraj Murali Kishanlal ◽  
Sherlin J ◽  
Varsha S
Keyword(s):  
Hardware Implementation ◽  
Raspberry Pi ◽  
Qr Code ◽  
Parking Space ◽  
New Members ◽  
Parking Lots ◽  
Time Scanning ◽  
Parking System ◽  
Parking Lot

The vehicles are parked in parking lots. These parking lots are found in malls, offices etc. These parking slots are marked on the ground with different size based on vehicles. An Automated Parking System transports vehicles from the entrance to a parking space that is available. Prior to this, car owners must make a reservation for specific parking lot. It takes time for new members to register and have parking assigned to them. An automated parking allotting app is created as well as a hardware implementation for this project. The owner of a car parking lot may sign up and build a parking facility in his area by registering the location and installing a Raspberry Pi with camera, which will automatically update the available parking spaces. The user find available parking slots using app and book a special slot for his or her car. A QR code will be generated, and the customer's bill will be generated based on in-time and out-of-time scanning. This method would be able to save time for car owners as well as and the amount of labor needed to complete the process as a result of this. As a result, this project saves time while also automating the process.

scholarly journals Background Subtraction Method based Smart Parking System using Image Processing

2020 ◽  
Vol 9 (4) ◽  
pp. 1839-1844
Keyword(s):  
Image Processing ◽  
Credit Card ◽  
Raspberry Pi ◽  
Subtraction Method ◽  
System Availability ◽  
Parking Spot ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
The Internet Of Things

Now a day's population is increasing day by day. Due to increase in population usage of vehicles and the traffic at parking lot also increases. For this reason getting a parking spot is very difficult and time consuming for the car drivers. So to reduce this difficulty we are proposing a system called "Baground subtraction method based smart parking system using image processing". This paper is mainly concerned to develop smart parking system on a credit card sized computer and camera is fitted at a parking lot to show availability of a parking place. The image processing can be performed on a Raspberry pi interface with Things view cloud platform through an API to detect cars. Rasperry Pi posts data to the Things view cloud, Showing that the internet of things(IOT) based parking system. Availability of parking slot can be viewed in drivers mobile and they can book the parking slot from their mobile by using an app.

scholarly journals IoT Based Smart Parking Platform

2020 ◽  
Vol 8 (5) ◽  
pp. 4628-4632
Keyword(s):  
Traffic Congestion ◽  
Ultrasonic Sensor ◽  
Trigger Pulse ◽  
Parking Space ◽  
Shopping Malls ◽  
Web Browser ◽  
Parking Lot ◽  
The Status ◽  
Smart Parking ◽  
Arduino Uno

Parking space is becoming a serious problem due to increasing number of vehicles along with the mismanagement of available parking space. Particularly, in places where sports or artistic events are scheduled, searching for parking space is a major problem. In order to combat this problem, Smart Parking Platform is implemented using sensors to detect when a car enters or leaves a parking lot in order to track capacity and alert drivers about availability of parking space. Inefficient management of parking system effects traffic flow and also leads to wastage of time and fuel. Smart Parking Platform smoothens the parking experience and achieves convenience for users by displaying the status of the parking slots in web browser and guiding drivers towards empty parking slot. In this paper, each parking slot is equipped with an ultrasonic sensor which is interfaced to Arduino UNO microcontroller. Arduino UNO sends the trigger pulse to the ultrasonic sensor. Ultrasonic sensors senses whether the parking slot is empty or occupied and sends the data from echo pin to Arduino UNO, which is programmed in such a way that it processes the data and communicates to Node MCU. The status of the parking spaces is updated in the webpage regularly. The user can access the information regarding parking slots by connecting to the provided network. If a parking slot is empty, it is represented by green block. If it is filled, it is represented by red block. This project aims towards reducing traffic congestion and time while searching for parking space. It can be applicable in places such as convention centers, shopping malls, airports, bus stations, stadiums and theatres.

Smart Parking System Based on Haar Cascade Classifier and SIFT Method

2021 ◽  
Author(s):  
Rahmat Fauzi Yulianto ◽  
Arif Irwansyah ◽  
Ni'am Tamami
Keyword(s):  
Cascade Classifier ◽  
Parking System ◽  
Smart Parking ◽  
Haar Cascade

Smart Parking System Using Batch Algorithms Cloud Computing and Internet of Things

2020 ◽  
Vol 17 (4) ◽  
pp. 1646-1652
Author(s):  
J. Jagadeesan ◽  
Arpan Sarkar ◽  
Sanchay Mishra ◽  
Sarthak Pandita
Keyword(s):  
Cloud Computing ◽  
Operating Systems ◽  
Network Architecture ◽  
Parking Space ◽  
Effective Manner ◽  
Parking System ◽  
Parking Lot ◽  
First Come First Serve ◽  
Car Park ◽  
Smart Parking

Innovative smart parking system works on sensor based IOT technology and cloud computing data collection to direct the driver to the particular parking spot. This paper implements an agile algorithm that improves the efficiency of the present cloud-based parking system and builds a network architecture based on the IOT technology. This paper introduces a system that helps users find a parking space at the least cost based on new efficiency constraints to calculate the user parking cost by considering the dimensions and the total number of free spaces in each car park. This cost will be used to offer a solution of finding an available parking space upon a request by the user and a solution of suggesting a new car park if the current car park is full. The simulation results convey that the algorithm helps improve the stability of successful parking and minimizes the user waiting time at the same time avoiding congestion. We also successfully implemented the algorithm virtually. Existing systems implement first come first serve algorithms to allocate parking space to cars which arrive to parking space, hence wasting a lot of space at the time costing efficiency to the parking lot. The proposed algorithm first sorts the cars based on their size, hence efficiently using the space available and balancing load at the parking side. Also separating the parking space for both large and small cars can help improve the parking congestion and price per space utility factor. The algorithm uses batch algorithms knowingly used in operating systems to arrange tasks and processes in an effective manner. It divides the cars into small and large categories alike the processes in operating systems, which helps to deal with the cars better. The whole system is also backed by low power IOT hardware like Arduino® Uno, NodeMCU® ESP8266, ZigBee networks and cloud computing solutions like Google© Firebase® and Thing Speak®.

scholarly journals Smart Parking with Fair Selection and Imposing Higher Privacy Constraints in Parking Owner and Driver Information

2021 ◽  
Vol 3 (1) ◽  
pp. 11-20
Author(s):  
Vivekanadam B
Keyword(s):  
Privacy Protection ◽  
High Efficiency ◽  
Bloom Filters ◽  
Willingness To Participate ◽  
Group Signatures ◽  
Parking Spot ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Privacy Constraints

The use of private cars has enhanced the comfort of travel of individuals, but has proven to be a challenge for parking in congested downtown areas and metropolitans. This hike in the vehicle count has led to difficulty among the drivers to find a parking spot, exploiting resources and time. On the other hand, there are many idle private parking spots that remain inaccessible because of multiple reasons like unavailable owners, different open timings and so on. In order to prevent parking issues as well as to enable the use of private parking spots, smart parking applications that are easy to use by the drivers will prove to be highly effective. However, most parking lot owners and drivers face the threat of privacy which affects their willingness to participate while many others are located in a centralized location where the presence of malicious users is in plenty. In this proposed work, we have introduced a smart-parking system that is based on blockchain exhibiting qualities of privacy protection, reliability and fairness. To protect the privacy of users, vector-based encryption, bloom filters and group signatures are also insisted. This has helped us establish a more reliable smart parking system coupled with fair operation for smart contact. Experimental analysis of the real-world dataset indicates that the proposed work operates with high efficiency, establishing privacy protection, reliability and fairness.

scholarly journals IoT Smart Parking System Based on the Visual-Aided Smart Vehicle Presence Sensor: SPIN-V

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1476 ◽  
Author(s):  
Luis F. Luque-Vega ◽  
David A. Michel-Torres ◽  
Emmanuel Lopez-Neri ◽  
Miriam A. Carlos-Mancilla ◽  
Luis E. González-Jiménez
Keyword(s):  
Smart Cities ◽  
Control Process ◽  
Parking Space ◽  
Parking System ◽  
Innovation And Technology ◽  
The Status ◽  
Working Together ◽  
Smart Parking ◽  
Vehicle Fleet ◽  
Smart Vehicle

Humanity is currently experiencing one of the short periods of transition thanks to novel sensing solutions for smart cities that bring the future to today. Overpopulation of cities demands the development of solid strategic plannings that uses infrastructure, innovation, and technology to adapt to rapid changes. To improve mobility in cities with a larger and larger vehicle fleet, a novel sensing solution that is the cornerstone of a smart parking system, the smart vehicular presence sensor (SPIN-V, in its Spanish abbreviation), is presented. The SPIN-V is composed of a small single-board computer, distance sensor, camera, LED indicator, buzzer, and battery and devoted to obtain the status of a parking space. This smart mobility project involves three main elements, namely the SPIN-V, a mobile application, and a monitoring center, working together to monitor, control, process, and display the parking space information in real-time to the drivers. In addition, the design and implementation of the three elements of the complete architecture are presented.

Application of CAN Bus and the Layered A* Algorithm in the Parking Guidance System

2014 ◽  
Vol 602-605 ◽  
pp. 887-890
Author(s):  
Li Ping Cheng ◽  
Bo Yan ◽  
Yong Hai Tan
Keyword(s):  
Design Method ◽  
Optimal Path ◽  
Guidance System ◽  
Parking Space ◽  
A Algorithm ◽  
Network Nodes ◽  
Path Information ◽  
Parking Lot ◽  
Vehicle Information ◽  
In Virtue Of

Most parking guidance system is not perfect, in an unknown and complex parking lot, the most urgent problem to the driver is how to find a parking space and find his car from the parking space quickly. In order to solve this problem, in virtue of the improved layered A* algorithm, system fast calculates the optimal path information which is from the entrance to each parking space and from each parking space to the export. Compared with using A* algorithm directly, the calculation time is shorten, the number of traversal nodes is reduced. At the same time, it adopts the integration design idea in the design of hardware and software, and uses international popular CAN to complete the design of network nodes in the parking guidance system, in which the monitoring interface is designed, the parking space information and gateway vehicle information are collected, the optimal path information are displayed. As integration design method was adopted, the design contents are simplified, the development hours are shortened, and the CAN intelligent nodes have a good extendibility and portability. This is the foundation for the expansion of parking lot In the future.

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