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Proceedings ArticleDOI: 10.1109/I-SMAC.2018.8653764

Smart Parking System using Cloud based Computation and Raspberry Pi

01 Aug 2018-
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.

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Open accessPosted Content
Abstract: Our 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 road security system, Private and smart parking, Intelligent accident management system and Smart information display/ notice board system. Our prototypes / products employ Arduino UNO board, Node MCU, Ultrasonic sensor, Fingerprint module, Servo motors, GSM, GPS, LEDs, Flame Sensor, Bluetooth and Wi-Fi module etc. We are very confident that our proposed systems are efficient, reliable, and cost-effective and can be easily tested and implemented on a large scale under real conditions.

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Topics: Smart city (56%), Home security (56%), Home automation (52%) ...read more

3 Citations


Journal ArticleDOI: 10.1016/J.IOT.2021.100387
01 Jun 2021-
Abstract: Parking slots have become a widespread problem in urban development. In this context, the growth of vehicles inside the university's campus is rapidly outpacing the available parking spots for students and staff as well. This issue can be mitigated by the introduction of parking management for the smart campus which targets to assist individually match drivers to vacant parking slots, saving time, enhance parking space utilization, decrease management costs, and alleviate traffic congestion. This paper develops 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. Our system composes of Raspberry Pi 4 B+ (RPi) embedded computer, Pi camera module, GPS sensor, and ultrasonic sensors. In the IoT-PiPMS, RPi 4 B+ is used to gather and process data input from the sensors/camera, and the data is uploaded via Wi-Fi to the Blynk IoT server. Ultrasonic sensors and LEDs are exploited to detect the occupancy of the parking spots with the support of the Pi camera to ensure data accuracy. Besides, the GPS module is installed in the system to guide drivers to locate parking areas through the Blynk App. that discovers parking spaces availability over the Internet. The system prototype is fabricated and tested practically to prove its functionality and applicability. According to the results, the IoT-PiPMS can effectively monitor the occupancy of outdoor parking spaces in the smart campus environment, and its potency in terms of updating the data to the IoT server in real-time is also validated..

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Open accessJournal ArticleDOI: 10.1007/S42979-021-00875-3
01 Jan 2022-
Abstract: In present years, the Internet of Things (IoT) has been one of the most sought research areas and has been an integral part of everyday life. Every household or society is nowadays dependent on some kind of smart things like smart TV, smart refrigerators, smart lighting, smart security systems, etc. Smart parking is one of the important areas for research and development in this field. In this paper, we have tried to propose a method that will be simple and efficient for the user. The objective is to study the available smart parking system, propose a complete smart parking system, implement the propose system, and analyze and compare the results with another smart parking systems. Our proposed system 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. The slot allocation process is scheduled through the FCFS algorithm, slot verification of individual parking users is done by license plate matching while parking the vehicle at slot, multilevel parking is designed for parking any type of vehicle, and e-ticket email has been sent using SMTP protocol. All parking statuses are being monitored in real time at the cloud server using ThinkSpeak. Finally, elapsed time result and analysis for complete parking has been measured and compared with another similar parking system.

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Topics: Smart lighting (52%)

Open accessDOI: 10.1109/ICOSEC51865.2021.9591732
07 Oct 2021-
Abstract: This research work has developed an artificial intelligence (AI) enabled smart city IoT system using Edge Computing. To take the smart decision and data processing purpose, this research work has deployed AI algorithms. The novelty in this work is, incorporation of Edge computing in IoT system, which enhances the performance of the IoT system by reducing the load on the cloud. Wi-Fi protocol is used in the network level for data transmission. Raspberry–pi is used to design edge server. 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. So, in this smart city application includes City air management, managing the traffic and transportation, utilization of power effectively, water pollution monitoring. And this monitoring is done by different sensors like camera, gas sensor, water quality sensors, other monitoring sensors. We gather physiological data from the sensors environment and stores it in the database and analyze it to take smart decision and indicates it on the webpage and intimate that information to the through e-mail via SMTP.

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Topics: Smart city (64%), Edge computing (60%), Cloud computing (53%)
References
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Proceedings ArticleDOI: 10.1109/ICACCI.2017.8125982
Pampa Sadhukhan1Institutions (1)
01 Sep 2017-
Abstract: The increasing number of vehicles on the road along with the mismanagement of available parking space leads to the parking related problems as well as increased traffic congestion in urban areas. Thus it is highly required to develop an automated smart parking management system that would help the driver to find out some suitable parking space for his/her vehicle very quickly. Although ample amount of research works on the development of smart parking system exist in literature, but most of them have not addressed the problem of real-time detection of improper parking and automatic collection of parking charges. In this paper, a prototype of internet-of-thing based E-parking system is proposed. The proposed E-parking system uses an integrated component called parking meter to address the above-mentioned issues as well as to provide smart parking management throughout the city.

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Topics: Traffic congestion (53%)

65 Citations


Proceedings ArticleDOI: 10.1109/ICCE.2016.7430607
Chungsan Lee1, Youngtak Han1, Soobin Jeon1, Dongmahn Seo2  +1 moreInstitutions (2)
01 Jan 2016-
Abstract: In this paper, we propose a smart parking system detecting and finding the parked location of a consumer's vehicle. Using ultrasonic and magnetic sensor, the proposed system detects vehicles in indoor and outdoor parking fields, accurately. Wireless sensor motes support a vehicle location service in parking lots using BLE.

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39 Citations


Proceedings ArticleDOI: 10.1109/SITA.2016.7772297
01 Oct 2016-
Abstract: Not finding a parking space for you sometimes is indeed a critical issue. The number of vehicles is also increasing daily adding to the parking vows at public places. Cities noticed that their drivers had real problems to find a parking space easily especially during peak hours, the difficulty roots from not knowing where the parking spaces are available at the given time. Even if this is known, many vehicles may pursue a small number of parking spaces which in turn leads to traffic congestion. The traffic on roads and parking space has been an area of concern in majority of cities. So, parking monitoring is an important solution. To avoid these problems, recently many new technologies have been developed that help in solving the parking problems to a great extent. Firstly, this paper gives an overview about the concept of smart parking system, their categories and different functionalities. Then we present the latest developments in parking infrastructures. We describe the technologies around parking availability monitoring, parking reservation and dynamic pricing and see how they are utilized in different settings. In addition, a theoretical comparison is presented to show advantages and drawbacks of each different smart parking system to discuss results and open directions for future research.

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39 Citations


Proceedings ArticleDOI: 10.1109/ISS1.2017.8389415
D. Vakula1, Yeshwanth Krishna Kolli1Institutions (1)
01 Dec 2017-
Abstract: Nowadays the idea of Smart Cities had become very popular. With the advent of Internet of Things, the concept of smart cities can be readily achievable. An extensive research is ongoing in the field of Internet of Things to increase the quality of services offered in cities and to improve the productivity and reliability of urban infrastructure. Internet of Things is addressing the most common problems faced in cities like availability of car parking and traffic jams. This paper presents an Internet of Things based Parking system for Smart Cities. The proposed parking system contains an IoT module deployed on-site for managing the available parking spaces. A platform provided in the form of portal for booking the parking spaces.

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31 Citations


Proceedings ArticleDOI: 10.1109/ICCSCE.2016.7893601
01 Jan 2016-
Abstract: Nowadays in an urban area, looking for available parking spots, is not only a waste of time and energy but also it causes more traffic and air pollution. Therefore finding available parking spots is becoming more challenging on daily life. 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. Ultrasonic sensors and raspberry pi were used at the gates of parking zones to detect cars and calculate the number of available parking spots. Client web server was used to accommodate multiple users in an android platform. Drivers can see available parking spots in real time on a map, they also can get navigate to nearest available parking spots using the mobile application. The parking system is designed for different types of parking zone (such as open space car parking and multilevel car parking); the cost of deploying the system is inexpensive due to the low demand for Raspberry pi single board computer as a local server and ultrasonic sensors for each entrance and exit gates compared to those that require a sensor for each parking spot.

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18 Citations


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