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Research Paper

Social distance monitoring using HOG and DNN

As of now, the world is facing its greatest pandemic COVID-19. Social distancing has become a part of our lives more than ever during the recent times .From our project, we would like to analyze a video that displays people walking around and provide the output in the same frame whether or not the people shown in the video are maintaining a social distance between them. The code will then be generalized in order to take any sample video as input and to provide the output.This will potentially help authorities to monitor public areas for practicing social distance, which will eventually help to curb the spread of a contagious disease.

Published by: N. Sai Karthik, G.Dinesh kumar, P.Ponnammal

Author: N. Sai Karthik

Paper ID: V7I3-1976

Paper Status: published

Published: June 21, 2021

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Research Paper

Design and Development of Dynamic Prosthetic Leg

This paper centers on planning and Development of Dynamic Prosthetic Leg for beneath amputees. A power framework can possibly lessen the limits in scope of movement and positive work yield of aloof strolling and running feet. Amputee walk in different day by day life circumstances utilizing aloof, semi-dynamic and controlled prostheses is analyzed. Regions for upgrades are examined. It could be required for assortment of reasons including illnesses, mishaps and intrinsic deformities. The general objective of prosthetics is to help standardize amputees. Essential intention of the task is to be equipped for change between standing, strolling and running with speed transformation.

Published by: Manish Kamath, Safal Agarwal, Riya Dahale, Tahereem Shaikh

Author: Manish Kamath

Paper ID: V7I3-1985

Paper Status: published

Published: June 21, 2021

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Research Paper

Disease detection using Machine Learning

Cancer is a lethal disease produced by the aggregation of hereditary disorders and a variety of pathological alterations. Cancerous cells are life-threatening abnormal regions that can grow in any portion of the human body. Cancer is also known as a tumour that must be diagnosed swiftly and accurately in the early stages in order to determine what treatment options are available. Despite the fact that each modality has its own set of problems, such as a difficult history, incorrect diagnoses, and therapy, which are all major causes of death. The goal of the study is to examine, review, evaluate, and discuss current breakthroughs in human body cancer detection utilising machine learning approaches for breast, brain, lung, liver, and skin cancers, as well as leukemia. The study shows how machine learning with supervised, unsupervised, and deep learning techniques can help in cancer diagnosis and cure. Several state-of-the-art approaches are grouped together, and findings from accuracy, sensitivity, specificity, and false-positive metrics are compared on benchmark datasets. Finally, potential future work is indicated by highlighting obstacles.

Published by: Jasmeet Singh Khokhar, Ankush Aglawe, Akash Pandey, Narayana Naidu, Roshan Mankar

Author: Jasmeet Singh Khokhar

Paper ID: V7I3-1964

Paper Status: published

Published: June 21, 2021

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Review Paper

Quantifying COVID-19 content in the Online Health Opinion using Machine Learning

A large proportion of the potentially harmful lies in COVID-19 appear to be in web AI to explore things among the online enemies of the development of prosperity, clear objectives ('' anti-vax ''). We track that the counter-vax counter that develops a smaller dose of COVID-19-less than its counterpart, the strength of the vaccine ('' vax- ready '') area. Regardless, the location of the counter vax range is wide, so it can draw a wide range of people looking for the COVID-19 theme on the web, for example people who are aware of the required inoculation of COVID-19 or those looking for optional adjustments. After that the local counter vax is better designed to attract new and ongoing help than good vax neighbors. This is disturbing as the lack of a complete collection of COVID-19 neutralizer would mean that the world is in short supply in terms of providing security of integration, leaving countries open to future COVID-19 renewal. We provide a model of negligence that interprets these outcomes and can help to study the rational skills of the intervention approach. Our approach works in many ways and therefore deals with the serious problem facing the establishment of electronic media for researching large volumes of web duplication of success

Published by: Pooja B.

Author: Pooja B.

Paper ID: V7I3-1996

Paper Status: published

Published: June 21, 2021

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Research Paper

A novel approach to safeguard online exam

Online Examination is turning into a significant developing segment all through the world because of the current pandemic situation. A significant test in the online examination is to improve security and the awareness of techniques without affecting candidate experience to satisfy the quickly developing need for online examination. Aside from this problem, increasing corona virus cases is likewise a major worry in the horticultural segment. The reason for this examination work is to propose a smart technical strategy dependent on the Exam Security to manage unfavourable circumstances. Online examination assists with decreasing chances, of cheating, and subsequently increment the security aspects. This paper suggest a methods which help you to avoid the hacks, and proctoring system which monitors the examination process, and also capture the candidate’s illegal movements for future use.

Published by: Vinayak Rane, Chetna Achar

Author: Vinayak Rane

Paper ID: V7I3-1998

Paper Status: published

Published: June 21, 2021

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Research Paper

Animatronic Hand

Animatronic hand controller or shadow hand is another attempt to come closer to bio inspired robotic hand. The use of robot is becoming a daily need, we use them when manufacturing product, aiding people with needs, and even enhancing our own weakness. Animatronic hand is controlled by a user to overcome weakness, as it is controlled by controller’s wish. Approximating the kinematics of the human hand was kept on top priority while constructing the animatronic hand. Each joint of this hand has a movement range again the same as or very close to that of a human hand, including the thumb and even the flex of the palm for the little finger.

Published by: Arushi Singh, Vaishnavi Shinde, Prathamesh Kale, Abhay Kothawade

Author: Arushi Singh

Paper ID: V7I3-2001

Paper Status: published

Published: June 21, 2021

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