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Research Paper

Drowsiness detection using feature extraction

Drowsiness detection system is a visual based system which will detect the eyes of the driver and classify it as awake or asleep in real time. The targeted customers predominately consist of commercial land transport companies, and is also available to general public. Since long distance transportations exhausts a lot of drivers which can lead to driver unexpectedly falling asleep can cause fatal accidents. In order to prevent this the Drowsiness detection system will immediately detect the state of the driver, if the driver falls asleep the system will immediately raise an alarm to alert the driver. The system’s interface will be through a web app which will display the camera feed and the status of the driver in real time. The system uses HOG [Histogram Oriented Gradient] for feature extraction of facial points recognition. Though there will some delay between the real time feed and the processed feed Our project aims in making it as fast as possible with minimum compute resources. This project is done using openCV, python, Dlib, boot.python.

Published by: Nagasai Shanmuka Sreenivas, Ankit Bando, Ariyan Chowdhury, Imad Ahmad, Thenmozhi T.

Author: Nagasai Shanmuka Sreenivas

Paper ID: V6I3-1424

Paper Status: published

Published: June 6, 2020

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Survey Report

An alert to focus on self development for post COVID world

The work world is profoundly affected by the global pandemic COVID-19.It is impacting not only the health of millions, but also their livelihood and well-being are in stake. It has presented unique challenges for all forms of learning’s to skill development processes. It has stimulated the need to accelerate all form of online learning and skilling. In this context to the need to explore innovative, upgrading methodologies and skills in workplace

Published by: Swarna Devesh Keswani

Author: Swarna Devesh Keswani

Paper ID: V6I3-1421

Paper Status: published

Published: June 6, 2020

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Research Paper

Comparative analysis on vehicle insurances fraud detection using machine learning

Now-a-days frauds have become a serious threat to the society. Fraud is an illegal way of gaining more money. Frauds are posing problems to so many people. So, fraud detection becomes very important in this current world. Fraud detection can be implemented in various fields like banking, insurance, financial sectors and information security systems. And in the field of insurance, we have different types of insurances- health, vehicle and even life insurances. Frauds occur in each of these types of insurances. There are many approaches using which fraud can be detected. Machine learning, artificial intelligence, data mining and other methods are used to detect frauds. The well-known methods used in machine learning to detect frauds are Bayesian Network, Decision trees and back propagation techniques. Many algorithms are also used to detect frauds like Naïve Bayes, KNN, Random forest. In this paper, the different techniques used for vehicle insurance fraud detection are presented along with comparative analysis.

Published by: Sheethal H. D., P. Sai Pranavi, Sharanya S. Kumar, Sonika Kariappa, Swathi B. H., Gururaj H. L.

Author: Sheethal H. D.

Paper ID: V6I3-1419

Paper Status: published

Published: June 6, 2020

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Research Paper

Applications of Operations Research in theme parks

The growth of Theme Parks and their impact on the Indian Economy have attracted considerable attention in recent years. Theme parks represent major development in contemporary leisure and recreation. In this research paper, a review of the application of operations research methods in the theme park industry is provided. The operation efficiency of theme park attractions using the data envelopment analysis, The installation area, installation cost, and annual repair cost are set as input factors and the number of annual users and customer satisfaction as output factors. The results show that the roller coaster-type attractions were less efficient than other types of attractions while rotating-type attractions were relatively more efficient. However, an importance performance analysis on individual attraction’s efficiency and satisfaction showed that operational efficiency should not be the sole consideration in attraction installation. In addition, the projection points for input factors for efficient use of attractions and the appropriate reference set for benchmarking are provided as guideline for attraction efficiency management.

Published by: Ankita Lad, Arihant Bhuyan, Chahat Chopra , Deekshaa Padhi

Author: Ankita Lad

Paper ID: V6I3-1394

Paper Status: published

Published: June 6, 2020

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Research Paper

Accident alert system using IoT

In order to identify vehicle accidents and send the accident location information to the vehicle owner, the nearest hospital and a police station through a web service, an IoT-based accident and rescue information system has been developed. The contact between the Web server and the hardware system is made via GSM / GPRS, with a GPS shield. Vibration sensors, keypad and buzzer are used to identify the incident. The project is built to collect data in real time using a web application, Android mobile app or SMS for the hardware computer. This project ensures the correct identification of the accident site in the nearest police station and hospitals and sends a notice.

Published by: Akash Kumar Gupta, D. Sunilkumar, P. Prathima, V. Prashanth, Ch. Phani Sainadh

Author: Akash Kumar Gupta

Paper ID: V6I3-1406

Paper Status: published

Published: June 6, 2020

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Research Paper

Chatbot enabled college management system

In a world of growing technology,to know more details about the college,either visiting the campus or checking out the college websites that provide information about the college seems to be time consuming and boring.This traditional way can be eradicated by introducing a college chat bot for efficiently answering any queries of the user.It also provides a more comfortable interface as though the user is talking to a real human.In this paper we have come up with an idea to build a chat bot using Google Dialogflow to answer any queries related to college.

Published by: Najma E. S., Priyanka Prabhuraj Inamati, Maddipatla Sowmya, Sai Charan J., Nayana D. V., Mamatha K.

Author: Najma E. S.

Paper ID: V6I3-1399

Paper Status: published

Published: June 6, 2020

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