IoT-Controlled Railway Gate System With ML Object Detection Approach: Applied Approach for a Secured IoT System

IoT-Controlled Railway Gate System With ML Object Detection Approach: Applied Approach for a Secured IoT System

Megha Kamble (Lakshmi Narain College of Technology, India), Jaspreet Mehra (Lakshmi Narain College of Technology, India) and Monika Jain (Lakshmi Narain College of Technology, India)
DOI: 10.4018/978-1-7998-2444-2.ch012
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Abstract

The growing demand of internet of things (IoT) has rendered advancement in the practical fields towards society. In spite of recent advancements and cost effective IoT solutions for smart railway infrastructure, presently, most of the railway gates in India are opened and closed manually. This is a time-consuming process. It is an error-prone system and raises the accident probability. This chapter evaluates and demonstrates the applicability of IoT to resolve the problem of unmanned automatic railway crossing. The aim is to propose a prototype that will control with the help of microcontroller board, IoT sensor integration, and integrating it to machine learning-based image analysis to detect the intermediate real time obstacle (obstacle on the track). This kind of IoT system will also invite potential attacks, and traditional security countermeasures can be inefficient in dynamic IoT environments. So open challenges related to IoT security threats and emerging security mechanisms for security of the proposed smart railway crossing system are also elaborated.
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Introduction

The emerging industrial concept of “internet of things” (IoT) has had a major impact on the all domains of industry. IoT is essentially a platform where embedded devices are connected to the internet, so they can collect and exchange data with each other. It enables devices to interact, collaborate and, learn from each other’s experiences just like humans do. This work is focused on impact of IoT on transportation industry. With the advent of autonomous vehicles and improved public transportation including the railways, there are many use cases and potential of IoT that has been explored all over the world. Traditionally in the railway industry, the concept of IoT has been about connected sensors for real time operation and analysis. IoT of today is extending the scale and scope of sensors, data accessibility and applications. By adopting new technologies existing railway system can be converted to more efficient for day-to-day operations and for the passengers. There are many solutions which are proposed for effective day-to-day operations of smart railway. Railway crossings are part of urban areas and also important part of society and day-to-day safety. This work is focused on IoT based solution for railway crossings in city areas and the idea is to propose IoT based unmanned solution for automatic operation of closing and opening of railway crossing taking care of ignorance of passers by during train transition.

Before coming to the suggested solution, it is essential to throw some light on broad domain of the solution which is Internet of things. This section is describing the different fundamental concepts behind IoT and the basic technologies as well as connectivity devices that are required to design internet of things, objects, real world entities and an overall understanding of making of IoT and its functionality.

All the different things that are that we are seeing around us and that we have around us are the part of IoT and working together as a part of network and responding with its functionality. They are all going to be interconnected. To provide us IoT based services exactly like internet based services we enjoy at present. Internet based services is basically A connection of different computers and computing devices all over the world is able to provide us Internet based services. Scope of this internet is going to be expanded beyond computing and computer devices being connected and is going to interconnect different physical objects in our day-to-day life such as lights, fans, ACs and everything in our home similarly any manual mechanism we consider in the businesses, different machines office gates, vehicle gates, Dam gates, railway signals every possible thing of internetworking equipments which can provide us automization and be interconnected to provide us advanced levels of services that can be offered for peaceful life.

These IoT systems fit with embedded systems, embedded electronics and information technology, so that they have some basic computing platform attached to them and then, they are going to be acting as different nodes of that particular internet, the IoT internet of things.

In this way, they will help in connecting different other things that are around them and depending on the business application requirements, to form a much bigger internet than the current internet of computers and this will be known as internet of things. IoT is one of the building blocks that is considered to be of use for developing smart homes and smart cities.

There are two ways to build IoT, one way is to expand the scope of the current internet means, the internet of computers and the other approach is to build a separate internetwork of these physical objects from scratch. In short, internetwork of things is not a single technology. There can be the different types of physical devices having different configuration and different specifications. Each of these supported through different other systems such as cloud technology, big data machine and computer vision and also from the technologies from electrical sciences and mechanical sciences are required in order to build IoT. The number of things that are connected to the internetwork of things are going to send lot of data. This data has to be handled properly, this data have to be analyzed using data science mechanism.

There are different enabling technologies for internet of things and some are identified as IoT enablers: RFID, nanotechnology, sensors, and smart networks.

Key Terms in this Chapter

Sensors: A belief that one's own culture is superior to other cultures.

IoT: A geographic and cultural region of the Mideastern United States. The population in media is portrayed as suspicious, backward, and isolated.

Machine Learning: The belief that family is central to wellbeing and that family members and family issues take precedence over other aspects of life.

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