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Proceedings ArticleDOI

IoT-based Smart Parking System using Android Application

TL;DR: In this article, the authors proposed an Android-based car parking monitoring system (ACPMS) to aid in locating a particular parking place, which can provide a user with the ability to check vacant parking space and locate the nearest parking lot.
Abstract: Since all people used vehicles as a necessity, the growing number of vehicles is increasing day by day. With the increasing number of vehicles on the road, the requirement of parking lot will also be restricted. Thus, it become a problem for the people to find a free parking space in the busy building especially in shopping complex. Internet of Things (IoT) is an interesting technology that can be applied in this paper because this technology has a capability to transfer the data over a network without requiring human intervention in almost all applications in today's society. In this paper, a user-friendly mobile application, named as Android-based Car Parking Monitoring System (ACPMS) is built to aid in locating a particular parking place. ACPMS can provide a user with the ability to check vacant parking space and locate the nearest parking lot. ACPMS obtained the parking location from the current user's position with the sensor located in the shopping complex's parking lot. ACPMS is testing in a realistic environment for the purpose of movement detection and location service to notify user using the mobile application. By considering seven test case scenarios, the combination of the ACPMS mobile application with a parking prototype kit shows that the proposed work able to solve the parking problem.
Citations
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Proceedings ArticleDOI
26 Jul 2022
TL;DR: The ELA Remind as discussed by the authors is a medicine box reminder system for Elderly Living Alone (ELA) by implementing the Infrared Sensor, Internet of Things and Mobile Application.
Abstract: Studies had shown a high statistic of the elderly often forgetting to take their medicine each day due to their forgetfulness. And living alone far from their family, make things harder. As a human of 60 years old and above, they might have difficulties to remember and become alert of the medicine time. Thus, developing this ELA Remind which is a medicine box reminder system for Elderly Living Alone (ELA) by implementing the Infrared Sensor, Internet of Things and Mobile Application. By having this system, elderly will always be reminded on time to take their medicine every day without fail. In fact, it helps to check on their medication intake history to ensure that the elderly was taking the medicine as per schedule. At the same time, it helps reduce the wastage of medication as well. Besides, the most impactful element in this system is that the reminder will also be sent to the elderly’s families so that they can monitor their elders remotely through the mobile application. In addition, this system will enable users or families to check back on the history of time taken of the medicine whenever needed.

2 citations

References
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Ovidiu Vermesan1, Peter Friess1
30 Jun 2014
TL;DR: Internet of Things is creating a revolutionary new paradigm, with opportunities in every industry from Health Care, Pharmaceuticals, Food and Beverage, Agriculture, Computer, Electronics Telecommunications, Automotive, Aeronautics, Transportation Energy and Retail to apply the massive potential of the IoT to achieving real-world solutions.
Abstract: Internet of Things is creating a revolutionary new paradigm, with opportunities in every industry from Health Care, Pharmaceuticals, Food and Beverage, Agriculture, Computer, Electronics Telecommunications, Automotive, Aeronautics, Transportation Energy and Retail to apply the massive potential of the IoT to achieving real-world solutions. The beneficiaries will include as well semiconductor companies, device and product companies, infrastructure software companies, application software companies, consulting companies, telecommunication and cloud service providers. IoT will create new revenues annually for these stakeholders, and potentially create substantial market share shakeups due to increased technology competition.

288 citations

Journal ArticleDOI
25 Feb 2020
TL;DR: The purpose of this article is to provide an up-to-date presentation of both traditional and most recent applications of Wireless Sensor Networks to enable the comprehension of this scientific area and facilitate the perception of novel applications.
Abstract: Wireless Sensor Networks are considered to be among the most rapidly evolving technological domains thanks to the numerous benefits that their usage provides. As a result, from their first appearance until the present day, Wireless Sensor Networks have had a continuously growing range of applications. The purpose of this article is to provide an up-to-date presentation of both traditional and most recent applications of Wireless Sensor Networks and hopefully not only enable the comprehension of this scientific area but also facilitate the perception of novel applications. In order to achieve this goal, the main categories of applications of Wireless Sensor Networks are identified, and characteristic examples of them are studied. Their particular characteristics are explained, while their pros and cons are denoted. Next, a discussion on certain considerations that are related with each one of these specific categories takes place. Finally, concluding remarks are drawn.

282 citations

Proceedings ArticleDOI
19 May 2008
TL;DR: A modified version of the min-max algorithm for detection of vehicles using magnetometers, and also an algorithm for ultrasonic sensors are described, which show promising results using these two sensing modalities.
Abstract: Wireless sensor networks offer an attractive choice for low- cost and easy-to-deploy solutions for intelligent traffic guidance systems and parking lot applications. In this paper, we propose the use of a combination of magnetic and ultrasonic sensors for accurate and reliable detection of vehicles in a parking lot. We describe a modified version of the min-max algorithm for detection of vehicles using magnetometers, and also an algorithm for ultrasonic sensors. Through extensive real world experiments conducted in a multi-storied university parking space we compare the pros and cons of using different sensing modalities, and show that ultrasonic sensors along with magnetometers is an excellent choice for accurate vehicle detections. We demonstrate the efficacy of our proposed approach by conducting an elaborate car counting experiment lasting over a day, and show promising results using these two sensing modalities.

206 citations

Journal ArticleDOI
TL;DR: This paper classifies the smart parking systems while considering soft and hard design factors, and overviews the enabling technologies and sensors which have been commonly used in the literature.

172 citations

Proceedings ArticleDOI
04 Apr 2018
TL;DR: A smart car parking system that will assist users to solve the issue of finding a parking space and to minimise the time spent in searching for the nearest available car park and provides users with roads traffic congestion status is proposed.
Abstract: The Internet of Things (IoT) is able to connect billions of devices and services at anytime in any place, with various applications. Recently, the IoT became an emerging technology. One of the most significant current research discussion topics on the IoT is about the smart car parking. A modern urban city has over a million of cars on its roads but it does not have enough parking space. Moreover, most of the contemporary researchers propose management of the data on cloud. However, this method may be considered as an issue since the raw data is sent promptly from distributed sensors to the parking area via cloud and then received back after it is processed. This is considered as an expensive technique in terms of the data transmission as well as the energy cost and consumption. While the majority of proposed solutions address the problem of finding unoccupied parking space and ignore some other critical issues such as information about the nearest car parking and the roads traffic congestion, this paper goes beyond and proposes the alternative method. The paper proposes a smart car parking system that will assist users to solve the issue of finding a parking space and to minimise the time spent in searching for the nearest available car park. In addition, it provides users with roads traffic congestion status. Moreover, the proposed system collects the raw data locally and extracts features by applying data filtering and fusion techniques to reduce the transmitted data over the network. After that, the transformed data is sent to the cloud for processing and evaluating by using machine learning algorithms.

46 citations