scholarly journals Design of Vehicle License Monitoring System to Control Theft by using IOT

2019 ◽  
Vol 9 (1) ◽  
pp. 2174-2177
Keyword(s):  
Internet Of Things ◽  
Heavy Traffic ◽  
External Disturbance ◽  
Digital Camera ◽  
Detection Algorithm ◽  
Rfid Tags ◽  
License Plate ◽  
Smart Transportation ◽  
Automated Object Detection ◽  
Vehicle Movement

Smart transportation for urban cities can be done using Internet of Things (IOT). An automated object detection algorithm is used to identify the vehicle by using VLPR system. Identification of vehicle in heavy traffic or in parking lots is difficult and hence we propose a system by using RFID tags where the vehicle movement and vehicle license plate number can be obtained accurately. So by using IOT we can access the data from anywhere and the vehicle movement can be identified. Instead of using digital camera where due to external disturbance the images gets blurred, so we go for RFID where due to radio frequency transmission they stores the data. The performance of the device will not get degraded due to shadow noise, thunders and due to heavy speed. The main aim of proposed system is to check the vehicles license number and drivers vehicle license and to verify the vehicles RC book renewal.

scholarly journals IoT Driven Automated Object Detection Algorithm for Urban Surveillance System in Smart City

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1687-1691
Keyword(s):  
Object Detection ◽  
Road Traffic ◽  
Smart Cities ◽  
Digital Camera ◽  
Detection Algorithm ◽  
License Plate ◽  
Surveillance Systems ◽  
Research Issues ◽  
Automated Object Detection ◽  
Research Challenge

Automated object detection algorithm is an important research challenge in intelligent urban surveillance systems for Internet of Things (IoT) and smart cities applications. In particular, smart vehicle license plate recognition and vehicle detection are recognized as core research issues of these IoTdriven intelligent urban surveillance systems. They are key techniques in most of the traffic related IoT applications, such as road traffic real-time monitoring, security control of restricted areas, automatic parking access control, searching stolen vehicles, etc. In this paper, we propose a novel unified method of automated object detection for urban surveillance systems. We use this novel method to determine and pick out the highest energy frequency areas of the images from the digital camera imaging sensors, that is, either to pick the vehicle license plates or the vehicles out from the images. The other sensors like flame and ultrasonic sensor are used to monitor nearby objects. Our proposed method can not only help to detect object vehicles rapidly and accurately, but also can be used to reduce big data volume needed to be stored in urban surveillance systems

A Seven-Layered Model Architecture, Network Model, Protocol Stack, Security, Application, Issues and Challenges in Internet of Vehicle

2020 ◽  
Vol 14 ◽  
Author(s):  
Intyaz Alam ◽  
Sushil Kumar ◽  
Pankaj Kumar Kashyap
Keyword(s):  
Internet Of Things ◽  
Network Model ◽  
Transportation Systems ◽  
Vehicle Speed ◽  
Protocol Stack ◽  
Seamless Integration ◽  
Communication Architecture ◽  
Smart Transportation ◽  
Smart Healthcare ◽  
Essential Components

Background: Recently, Internet of Things (IoT) has brought various changes in the existing research field by including new areas such as smart transportation, smart home facilities, smart healthcare, etc. In smart transportation systems, vehicles contain different components to access information related to passengers, drivers, vehicle speed, and many more. This information can be accessed by connecting vehicles with Internet of Things leading to new fields of research known as Internet of Vehicles. The setup of Internet of Vehicle (IoV) consists of many sensors to establish a connection with several other sensors belonging to different environments by exploiting different technologies. The communication of the sensors faces a lot of challenging issues. Some of the critical challenges are to maintain security in information exchanges among the vehicles, inequality in sensors, quality of internet connection, and storage capacity. Objective: To overcome the challenging issues, we have designed a new framework consisting of seven-layered architecture, including the security layered, which provides seamless integration by communicating the devices present in the IoV environment. Further, a network model consisting of four components such as Cloud, Fog, Connection, and Clients has been designed. Finally, the protocol stack which describes the protocol used in each layer of the proposed seven-layered IoV architecture has been shown. Methods: In this proposed architecture, the representation and the functionalities of each layer and types of security have been defined. Case studies of this seven-layer IoV architecture have also been performed to illustrate the operation of each layer in real-time. The details of the network model including all the elements inside each component, have also been shown. Results: We have discussed some of the existing communication architecture and listed a few challenges and issues occurring in present scenarios. Considering these issues, which is presently occurring in the existing communication architecture. We have developed the seven-layered IoV architecture and the network model with four essential components known as the cloud, fog, connection, and clients. Conclusion: This proposed architecture provides a secure IoV environment and provides life safety. Hence, safety and security will help to reduce the cybercrimes occurring in the network and provides good coordination and communication of the vehicles in the network.

RFID, NFC, Beacons, and the Infrastructures of Logistical Locative Media

2020 ◽  
pp. 474-486
Author(s):  
Jordan Frith
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Near Field ◽  
Low Energy ◽  
Near Field Communication ◽  
Rfid Tags ◽  
Bluetooth Low Energy ◽  
Locative Media ◽  
Frequency Identification ◽  
Machine Readable

The phrase the Internet of things was originally coined in a 1999 presentation about attaching radio frequency identification (RFID) tags to individual objects. These tags would make the objects machine-readable, uniquely identifiable, and, most importantly, wirelessly communicative with infrastructure. This chapter evaluates RFID as a piece of mobile communicative infrastructure, and it examines two emerging forms: near-field communication (NFC) and Bluetooth low-energy beacons. The chapter shows how NFC and Bluetooth low-energy beacons may soon move some types of RFID to smartphones, in this way evolving the use of RFID in payment and transportation and enabling new practices of post-purchasing behaviors.

scholarly journals Car Parking System using ALPR and CPS

2019 ◽  
Vol 9 (1) ◽  
pp. 6233-6236 ◽  
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Daily Basis ◽  
License Plate ◽  
License Plate Recognition ◽  
End User ◽  
Proximity Sensor ◽  
Parking Lots ◽  
Huge Data ◽  
Vacant Space

IoT has become the greatest demand these days due to automation. Every system that helps us on a daily basis has improvised to an internet of things where data are transferred with no human to human or human to computer interaction. There are numerous projects over IoT parking lots, but the efficiency of the system for the underlying demand of the fast world with huge data is yet to be satisfied. In the existing system, using proximity sensor, the parking lots are checked if full and the end-user is notified through app or token for the vacant space and when the lots are full the gate remains closed until space is free to park. In the proposed system the capacitive proximity sensors are used to calculate the dimensions of a car to categories them into macro, sedan, and SUV models and provides the exact level to park. The automatic license plate recognition (ALPR) is used to note the minimum time of parking used by the particular car on two or many occurrences by calculating their mean, thus making efficient usage of space and time for a thriving smart city.

scholarly journals Introduction to the Special Issue: Applications of Internet of Things

Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 374 ◽  
Author(s):  
Chi-Hua Chen ◽  
Eyhab Al-Masri ◽  
Feng-Jang Hwang ◽  
Despo Ktoridou ◽  
Kuen-Rong Lo
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Data Science ◽  
Cooperative Spectrum Sensing ◽  
Smart Homes ◽  
Recognition System ◽  
Special Issue ◽  
Smart Transportation ◽  
User Classification ◽  
Novel Approach

This editorial introduces the special issue, entitled “Applications of Internet of Things”, of Symmetry. The topics covered in this issue fall under four main parts: (I) communication techniques and applications, (II) data science techniques and applications, (III) smart transportation, and (IV) smart homes. Four papers on sensing techniques and applications are included as follows: (1) “Reliability of improved cooperative communication over wireless sensor networks”, by Chen et al.; (2) “User classification in crowdsourcing-based cooperative spectrum sensing”, by Zhai and Wang; (3) “IoT’s tiny steps towards 5G: Telco’s perspective”, by Cero et al.; and (4) “An Internet of things area coverage analyzer (ITHACA) for complex topographical scenarios”, by Parada et al. One paper on data science techniques and applications is as follows: “Internet of things: a scientometric review”, by Ruiz-Rosero et al. Two papers on smart transportation are as follows: (1) “An Internet of things approach for extracting featured data using an AIS database: an application based on the viewpoint of connected ships”, by He et al.; and (2) “The development of key technologies in applications of vessels connected to the Internet”, by Tian et al. Two papers on smart home are as follows: (1) “A novel approach based on time cluster for activity recognition of daily living in smart homes”, by Liu et al.; and (2) “IoT-based image recognition system for smart home-delivered meal services”, by Tseng et al.

Smart Refrigerator with Recipe Assistance

2017 ◽  
Vol 8 (2) ◽  
pp. 51-61
Author(s):  
Aishwarya Gadgil ◽  
Vedija Jagtap ◽  
Pooja Kulkarni
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Rfid Tags ◽  
Creative Processes ◽  
Rfid Tag ◽  
Technological Revolution ◽  
Load Cells ◽  
Time Required ◽  
Intellectual Power ◽  
The Way

Internet of Things (IoT) will lead to a technological revolution that will change the way people live and interact with their surroundings. Intelligent appliances combined with multimedia capability have been emerging in everyone's life. Smart home is one of the prominent areas of intelligent advances. Kitchen is considered as the center of our house, where the refrigerator plays an important role. Smart Refrigerator with Recipe Assistance will help in automating the refrigerator. The authors propose a system that would track the stock of ingredients in the refrigerator with the help of RFID tags and load cells. According to the availability of ingredients a list of possible recipes is predicted and suggestions will be given to the user. Whenever an item is identified by a RFID tag, estimations on the usage of ingredients are made and we can get notifications about the scarce products. The system will also help in checking the availability of ingredients based on the recipe user wishes to cook. The time required by an individual for manually checking the availability of ingredients in the refrigerator and then thinking about what to cook is greatly reduced using this system. Most of the information is automatically generated using RFID tags. Once the user logins into the application he/ she will be suggested the possible list of recipes based on the availability. Human intellectual power then can be used for new creative processes rather than using it for routine chores.

scholarly journals A Survey of Context-Aware Messaging-Addressing for Sustainable Internet of Things (IoT)

2020 ◽  
Vol 12 (10) ◽  
pp. 4105
Author(s):  
Alaa Omran Almagrabi ◽  
Yasser D. Al-Otaibi
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Contextual Information ◽  
Spatial Models ◽  
Context Aware ◽  
Engineering Technology ◽  
Smart Transportation ◽  
Context Aware Computing ◽  
Iot Applications ◽  
Smart Healthcare

Nowadays, communication engineering technology is merging with the Internet of Things (IoT), which consists of numerous connected devices (referred to as things) around the world. Many researchers have shown significant growth of sensor deployments for multiple smart engineering technologies, such as smart-healthcare, smart-industries, smart-cities, and smart-transportation, etc. In such intelligent engineering technologies, sensors continuously generate a bunch of messages in the network. To enhance the value of the data in the messages, we must know the actuality of the data embedded inside the messages. For this purpose, the contextual information of the data creates a vital challenge. Recently, context-aware computing has emerged to be fruitful in dealing with sensor information. In the ubiquitous computing domain, location is commonly considered one of the most essential sources of context. However, whenever users or applications are concerned with objects, and their site or spatial relationships, location models or spatial models are necessary to form a model of the environment. This paper investigates the area of context-aware messaging and addressing services in diverse IoT applications. The paper examines the notion of context and the use of context within the data exchanged by the sensors in an IoT application for messaging and addressing purposes. Based on the importance and need for context of the information, we identify three critical categories of new IoT applications for context-aware messaging and addressing services: emergency applications, applications for guiding and reminding, and social networking applications. For this purpose, a representative range of systems is reviewed according to the application type, the technology being used, their architecture, the context information, and the services they provide. This survey assists the work of defining an approach for context-aware messaging services domain by discovering the area of context-aware messaging.

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