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Case Study

Identification of Jewelry Article using Transfer Learning and Image Repository

“IDENTIFICATION of jewelry ARTICLE USING TRANSFER LEARNING AND IMAGE REPOSITORY” maybe a project that aims to automate, boost and revolutionize the task of recognizing Jewellery articles for tagging before adding the article into the inventory. the aim of this project is to optimize the task of stock entry and to scale back the manual work of tagging each and each article. The project involves creating an image repository of varied Jewellery articles by manually clicking the pictures, label the pictures supported the classes, train the model, and eventually classifying the articles in real-time using live camera feed using Transfer Learning, and OpenCV. Once the article is recognized, the model will pass the worth vectors including the name of the article, the image of the article, and a number of pieces of a specific article skilled the live camera. this complete process will help in boosting up the manual process of adding Jewellery articles to inventory, will reduce manpower, be less erroneous, and can economize for the stakeholders during the end of the day.

Published by: Mohammed Mafaz

Author: Mohammed Mafaz

Paper ID: V7I4-1656

Paper Status: published

Published: August 4, 2021

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Research Paper

Detection and estimation of heavy mineral accumulation in coastal areas

To develop a conventional sensor-based system for monitoring the estimation of on-shore heavy mineral accumulation. The existing technology involves an analytical procedure using acidic solutions which is only possible under laboratory testing. Our proposed idea involves the development of an ultrasonic sensor system along with an infrared and moisture sensor module for the estimation of heavy mineral accumulation. The principle of sensor development involves the ultrasonic absorption and infrared absorption capability of specific minerals as each mineral will have a different absorption capacity. The tested samples from the laboratory are further subjected to sensor tests and the data will be evaluated. The data obtained from the sensor will be compared with laboratory test results to observe the relationship between the mineral present and the data obtained. Finally, a prototype model for real-time investigation will be developed. The main advantage of the proposed idea includes the time-efficient process accompanied by instant results which will reduce cost and procedures needed for estimation

Published by: Yaswanth Reddy Putta, Reventh M. S., Sanjay S., B. S. Sreeja

Author: Yaswanth Reddy Putta

Paper ID: V7I4-1651

Paper Status: published

Published: August 4, 2021

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Research Paper

Identifying defects during semiconductor manufacturing using Machine Learning

This Project is about identifying defects in the equipment that manufactures semiconductors by using various required parameters. Semiconductor manufacturing is a very delicate process and all the equipment that manufactures semiconductors needs to function properly, and any error in this equipment will cause major damage to the manufacturing process. In this project, we have used various machine learning algorithms and implemented the best one which has more accuracy in identifying defects during the manufacturing of semiconductors.

Published by: Nandini G., K. G. Ashwin Krishnan, Harshith R., Dileep Kumar Simhadri, Gummalla Akhil Kumar Reddy

Author: Nandini G.

Paper ID: V7I4-1638

Paper Status: published

Published: August 4, 2021

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Case Study

Survival analysis of heart failure patients using Machine Learning on an imbalanced dataset

In this paper, we have focused on the survival analysis of heart failure patients. The number of individuals diagnosed with coronary failure is increasing and projected to rise by 46 percent by 2030, leading to quite 8 million people with coronary failure. The reason for the increase in heart failure is due to an increase in the number of cases involving high blood pressure, valve disease, thyroid disease, kidney disease, and diabetes [1]. With the growth of machine learning, data mining, statistical analysis, data-modeling predicting whether the person will survive [2] or not after heart failure is possible and it becomes very crucial.

Published by: Mohammed Mafaz

Author: Mohammed Mafaz

Paper ID: V7I4-1655

Paper Status: published

Published: August 4, 2021

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Review Paper

Surveillance Bot with real time object detection

Computer Vision is a subset of programs and software programs in computer science that can see and understand pictures. Computer Vision has different characteristics, such as image recognition, object detection, processing of images, image processing, etc. Face recognition, car detection, pedestrian counting, online imaging, surveillance systems and self-driving cars are commonly used for object detection.

Published by: Aman Agrawal, Ajay Suri, Akshay Goel, Aman Varshney

Author: Aman Agrawal

Paper ID: V7I4-1659

Paper Status: published

Published: August 4, 2021

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Others

Indian Online Art Athenaeum

Creating an Online Art Athenaeum application that provides all end-users to view and purchase exotic Art items from the comfort of their home. The application provides high security for the end-users by enclosing all their personal details. The application has an additional Auction facility for Users to purchase rare art collections.

Published by: Yazhini Gopalakrishnan

Author: Yazhini Gopalakrishnan

Paper ID: V7I4-1665

Paper Status: published

Published: August 4, 2021

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