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Lane detection and object detection system steering advisory for driver

Lane detection and tracking modules are now regarded as essential in the development of an Intelligent Transportation System (ITS). Different vision-based algorithms that are being used in autonomous vehicles to determine road lanes are presented, reviewed, and compared in this proposed work. The main components are lane departure, lane tracking, collision avoidance, driver assistance system. Lane departure component assists in keeping the vehicle stable on the desired lane on the road. The front collision avoidance component will detect the road's frontal obstruction and shows up a pre-collision/proximity warning signal. The notice is based on the vehicle's speed and the object's distance from the cars. According to current research, the system can only identify one lane marking set in real-time and is unable to provide extra lanes for assistance in scenarios such as lane closures, road repairs, and car accidents that impede the driving lane. The project proposes a method for determining the marking of two lanes that might be used in conjunction with a detecting system to detect obstructions on the road ahead of the vehicle. This method takes a strong approach to lane detection and performs admirably in a variety of lane types.

Published by: Vinutha H., Shivam Zagade, Saima Sharieff, Saniya Taj

Author: Vinutha H.

Paper ID: V7I4-1850

Paper Status: published

Published: August 28, 2021

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Research Paper

Car parking space detection using Image Processing

The major goal of the project is to develop a fully automated parking system that requires little human interaction. Look for a suitable parking area for automobiles in the well-known metropolitan metropolis. These parking lots are necessary to solve the challenges of rising urban congestion and, as a result, a scarcity of space. The goal of this article is to determine the number of automobiles and the location where they can be found. This study uses terminology like parking space, image processing, system initialization, image acquisition, image segmentation, image enhancement, and image detection.

Published by: Ashu Yadav, Kirti Bhatia

Author: Ashu Yadav

Paper ID: V7I4-1891

Paper Status: withdrawn

Submitted: August 27, 2021

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Research Paper

Effect of rebar coating in prevention of corrosion in RC structure

Corrosion of the reinforcement in concrete structures had been realized to be at serious problem world wide in the 60s & 70s & the number of damages still increased considerably in the 80s. Corrosion in steel reinforcement is one of the most significant factors in the deterioration of Reinforced Concrete Structures Rebars Corrosion carbonation of Concrete & Chloride Attack Affects almost 50% The Durability of concrete structures. Earlier studies Indicated the Reinforced Concrete structures Remain durable for the whole of their design life, Approximately more than 60 years, Even maintenance free. The purpose of this study is to evaluate and compare the relative merits of the two coating systems for reinforcing bars in concrete. Also this study helps to know the nature and characteristics of both epoxy coated and Zinc Coated Steel for use as reinforcement in concrete. Also presented is an overview of the results from recent experimental work on the comparative corrosion behavior of uncoated Steel, epoxy coated steel, and Zinc Coated Steel in concrete.

Published by: Thejus H. R., Sanjay B. N., Ravikumar R., Santhosh G., Shalini G. V.

Author: Thejus H. R.

Paper ID: V7I4-1778

Paper Status: published

Published: August 27, 2021

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Research Paper

Segmentation approach for brain tumor detection

The task of detecting tumors is an important one as it can lead to many lives being saved as nearly 20k lives are lost every year due to brain tumors. The task is challenging as in few cases brain tumors are not detected in the early stages. With the help of artificial intelligence, this gap can be bridged. The task of detecting regions of tumors can be classified into the popular computer vision task of image segmentation. Given the actual MRI scans and the masks representing the region of the tumor, the machine learning models can learn the functions which map the regions to the presence or nonpresence of the tumor. The models are trained using a pair of MRI images and corresponding masks and the given an MRI image, the model should detect the region of the tumor if present. This paper explores the different state-of-the-art architectures to perform the task of image segmentation.

Published by: Shreyash Gupta, Shreyas S., Lalitha V. P.

Author: Shreyash Gupta

Paper ID: V7I4-1857

Paper Status: published

Published: August 27, 2021

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Research Paper

Camel model analysis of select public and private sector banks in India

The financial performance of banks has gained significant importance in recent years. It is a blueprint of the financial affairs of a business concern. Financial performance analysis is mainly done to compare the growth, profitability, and financial soundness of banks by diagnosing the information contained in the financial statements. It is also useful for the measurement of the overall financial health of the organization over a given period of time. The paper evaluates the financial performance of select public and private sector banks for a five years period from 2016 to 2020.CAMEL (Capital Adequacy, Asset, Management Efficiency, Earnings, Liquidity) model measures the performance of banks on the basis of five parameters viz. Capital adequacy, Asset quality, Management quality, Earning quality, and Liquidity quality.

Published by: Shariqua Nishat

Author: Shariqua Nishat

Paper ID: V7I4-1867

Paper Status: published

Published: August 27, 2021

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Research Paper

Line follower & obstacle avoider robot

Of gram into the Arduino chip. Arduino vehicle contains Arduino microcontroller with basic mobility highlights. We need to make an android application that will furnish the client with an interface to connect with the Arduino-controlled vehicle. The interface is not difficult to utilize and gives criticism from the Arduino microchip through the Wi-Fi subsequent to offering guidance to Arduino for different activities through the interface by means of a Wi-Fi module. Arduino programs contain directions intervening between the android regulator and the Arduino vehicle. Android portable controller utilizes distinctive versatile sensors to direct movement. Subsequent to doing the entirety of this we have test this undertaking completely and find the greatest no. of mistakes and wrong rationale in the chip program. Subsequent to doing this no one but we can say that we have had the option to make according to our objective portrayed.

Published by: Yuvaraj Ganesha, Maninder Singh Balbir Singh, Arumugam Ganesan

Author: Yuvaraj Ganesha

Paper ID: V7I4-1845

Paper Status: published

Published: August 27, 2021

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