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Number Script Recognition using Neural Networks

The ability for accurate digit recognizer modelling and prediction is critical for pattern recognition and security. A variety of classification machine learning algorithms are known to be effective for digit recognition. The purpose of this experiment is rapid assessment of multiple types of classification models on digit recognition problem. The work offers an environment for comparing four types of classification models in a unified experiment: Multi-class decision forest, Multi-class decision jungle, Multi-class Neural Network and Multi-class Logistic Regression. The work presents assessment results using 6 performance metrics: Overall accuracy, Average accuracy, Micro-averaged precision, Macro-averaged precision, Micro-averaged recall and Macro-averaged recall. The experimental results showed that the highest accuracy was obtained by a Multi-class Neural Network with a value of 97.14%. The purpose of this project was to introduce neural networks through a relatively easy-to-understand application to the general public. This paper describes several techniques used for preprocessing the handwritten digits, as well as a number of ways in which neural networks were used for the recognition task.

Published by: Y. Bhanu Prasad, A. Sai Kumar, Pruthvy Charan, Dr. G. Prasad Acharya

Author: Y. Bhanu Prasad

Paper ID: V7I3-2171

Paper Status: published

Published: June 28, 2021

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Research Paper

AI Based license Plate recognition using CNN

The discovery based on the artificial intelligence of the Indian license plate is our theme. We have created a program that is able to take a photo from the surrounding area. At the end of the hardware, we need a pc (or raspberry pi) and a camera and at the end of the software, we need a library to download and process data (image). We have used OpenCV (4.1.0) and Python (3.6.7) for this project To get something (license plate) in the picture we need another tool that can see the Indian license plate to use Haar cascade, pre-trained on Indian license plates (to be updated soon) be YOLO v3). Our main objective is to establish a system that gives us the license plate number of a vehicle when given a low definition image captured by a surveillance camera at toll collection centres. Mostly our system is demanded for the purpose of traffic monitoring. Hence we designed a system that lessens the manual work of entering the license plate numbers. And also we built a system that increases the speed of processing toll collections or traffic violation punishments. Our model is built on convolutional neural networks where several mathematical computations are done within the six hidden layers and give the output characters using contour detection and character segmentation.

Published by: K V Yaswanth, Anvesh Donthi, A Venkata Ramana, Dr. M. Poornachandra Rao

Author: K V Yaswanth

Paper ID: V7I3-2167

Paper Status: published

Published: June 28, 2021

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Research Paper

Age and Gender Detection using OpenCV

In this fast emerging world Artificial Intelligence plays a very vital role in every field of science . Everything is being automated from operating a remote to driving a car using Artificial Intelligence. We show a glimpse of such automated experience with this project. In this project we show how easy it is to detect faces and identify gender along with gender with the help of CNN(Convolutional Neural Networks) and OpenCV. Using these fields of Artificial Intelligence we can reduce the use of hardware components and complexities in this project. Along with CNN and OpenCV we use Adience dataset so that the output is achieved with accurate values in training and validation. For the output to be determined even with multiple parameters we use pre-trained model that is caffee model along with OpenCV. The proposed model can be used in surveillance purposes or in medical purposes.

Published by: Mahija Kante, Dr. Esther Sunandha Bandaru, Gadili Manasa, Meghana Emandi, Vanarasi Leela Lavanya

Author: Mahija Kante

Paper ID: V7I3-2163

Paper Status: published

Published: June 28, 2021

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Research Paper

DNA sequencing using Nanomanufacturing

In this paper, we nanomanufacture for the first time a novel DNA sequencing using nanoscale hole, in synthetic single digit nanometer thickness membrane. The DNA sequencing is carried out for each base of DNA to sequence and detect by placing a multimeter and the readings are taken on the edges of the synthetic single digit nanometer thickness membrane. The multimeter readings gives the voltage change readings for each base of DNA as there will be a change in concentration in the presence of DNA inside a nanoscale hole, in synthetic single digit nanometer thickness membrane.

Published by: Vishal Nandigana, Sharad Kumar Yadav, D. Manikandan

Author: Vishal Nandigana

Paper ID: V7I3-2160

Paper Status: published

Published: June 28, 2021

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Research Paper

AC nanopump design and manufacture

In this paper, we design and manufacture for the first time a novel AC nanopump to generate flow velocity. AC voltage is needed at nanoscale pump designs and manufacture because DC voltage nanopumps design and manufacture generate bubbles/cavitation/instability and are not scalable designs and are not scalable to manufacture. AC voltage driven nanopump designed in and manufactured demonstrated in this paper overcomes bubble generation/cavitation/instability and our AC nanopump is a scalable design and manufacture.

Published by: Vishal Nandigana, Sharad Kumar Yadav, Manikandan D., K. D. Jo, A. T. Timperman, N. R. Aluru

Author: Vishal Nandigana

Paper ID: V7I3-2146

Paper Status: published

Published: June 28, 2021

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Research Paper

“Restoration of ecosystems” using a trapping method of Carbon Dioxide

I have an idea to reduce the carbon dioxide from nature and save the ecosystem. Some basic chemicals required for this process. This process is the conversion process of carbon dioxide. In this process probably a new industry will be born. This process can be used in thermal power stations and burning waste paper. Because this is about 85% of the total electric power 558990 GWH generated in 2007-08 by thermal power plants in India. Thus, the total CO2 emissions can be estimated as about 523 million tons from all the thermal power plants in India. In this process, the source of carbon dioxide is the burning waste papers or thermal power plants. If we burn the paper the paper produces carbon dioxide (but not roasting the paper).

Published by: Aniket Bahadur

Author: Aniket Bahadur

Paper ID: V7I3-1924

Paper Status: published

Published: June 28, 2021

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