An automated system to limit Covid-19 using facial mask, temperature and age detection
COVID-19 pandemic caused by novel corona virus is spreading until now all over the world. The impact of COVID-19 has been fallen on all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of corona virus where wearing a mask is one of them. In this paper, we propose a system that restrict the spreading of COVID-19 by finding people who are not wearing facial mask in a smart city network where all the public places are monitored with cameras and also detecting the age and temperature of the persons who are entering in public places like malls, restaurants, etc.. While a person without mask is detected, the corresponding authority is informed through the proposed system. This paper presents a simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV and MobileNet. It is hoped that our study would be a useful tool to reduce the spreading of this disease for many countries in the world.
Published by: Gajanan Kalambate, Shubham Dhamale, Rohit Jadhav, Lav Patil
Author: Gajanan Kalambate
Paper ID: V7I3-1618
Paper Status: published
Published: June 2, 2021
Self Help Health Care Chatbot
Chabot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. In this paper, we present the general working principle and the basic concepts of artificial intelligence based Chabot’s and related concepts as well as their applications in various sectors such as telecommunication, banking, health, customer call centers and e-commerce. Additionally, the results of an example Chabot for donation service developed for telecommunication service provider are presented using the proposed architecture.
Published by: Shraddha Shailesh Gawade, Kanika Rajendra Pasi, Sailee Mestry, Sanvi Sopan Patil
Author: Shraddha Shailesh Gawade
Paper ID: V7I3-1616
Paper Status: published
Published: June 2, 2021
Efficient Low Power FIR Filter Design
A filter may be required to have a given frequency response, or a specific response to an impulse, step, or ramp, or simulate an analog system. Depending on the response of the system, digital filters can be classified into Finite Impulse Response (FIR) filters & Infinite Impulse Response (IIR) filters. The thesis deals with design of generic 30-tap FIR filter on FPGA. The thesis is focused on Design structure and occupied silicon space, needed for implementation of filter in FPGA. The results are IP macros of simple FIR filter that are full configurable using generic parameters. Both macros were verified in a verification environment which consists of test blocks (VHDL) and a comparative model (Matlab). A design of generic FIR filter is described in this work. Next there are described final designs of the IP macros, results and process of the verification, implementation and gate-level verification Design of area and power-efficient high-speeddata path logic systems are one of the most substantial areas of research in VLSI system design. In digital adders, the speed of addition is limited by the time required to propagate a carry through the adder
Published by: Rashmi Kisanrao Bhojane, G. D. Dalvi
Author: Rashmi Kisanrao Bhojane
Paper ID: V7I3-1646
Paper Status: published
Published: June 2, 2021
Medical image encryption using DNA cryptography
This paper proposed a novel cryptographic method for enhancing the security while transmission of image. Image which covers highest percentage of multimedia data, its protection is at most important. In image encryption methodologies, the pixels of original images are either manipulated or information is laid inside the image using the image as a cover to protect the data from undesired receivers. Scope of the project is to ponder on different ways of securing image data. Being a part of this digital world security becomes the most toughest and important things to handle. On the other hand hacking is also a growing domain which is used to track out a lot of information to solve a lot of digital criminal issues. DNA (Deoxy Ribonucleic acid) molecules, having the capacity to store, process and transmit information, inspires the idea of DNA cryptography. This combination of the chemical characteristics of biological DNA sequences and classical cryptography ensures the non-vulnerable transmission of data. In this paper review has been made about the present state of art of DNA cryptography.
Published by: Rohan N. Kalpavruksha, Roshan N. Kalpavruksha, Bhavani Shankar
Author: Rohan N. Kalpavruksha
Paper ID: V7I3-1614
Paper Status: published
Published: June 2, 2021
Lung Cancer Detection using Image Processing and CNN
Cancer is known to be one of the most dangerous health problems in the world and among it, lung cancer is known to be the most serious cancer with the smallest survival rate. The lung cancer risk population is also very high as compared to other deadly diseases, for example, cardiovascular diseases. Therefore, early detection of lung cancer is a must for survival. Nowadays, a lot of research has been done using Convolutional Neural Networks in the medical field. Image classification is one of the methods to detect cancer at early stages. First, the datasets for CT Scans are accessed from Kaggle. Images are refined with the pre-processing method. The image dataset will be trained on two different models namely~ Manual CNN and AlexNet. Further, the model producing the highest accuracy will be chosen and the processed images will be used to predict whether the CT scan image is malignant (cancerous), benign (non-cancerous), or normal.
Published by: Anubha Gupta, V. L. Karthikeya Manda, B. Ida Seraphim
Author: Anubha Gupta
Paper ID: V7I3-1606
Paper Status: published
Published: June 2, 2021
Food wastage reduction
There is growing evidence that a significant share of global food is thrown away, with concomitant detrimental repercussions for sustainability. Reducing food waste is a key sustainability challenge for the foodservice industry. Despite the significance of this issue to the global foodservice industry, the link between innovation practices and food waste management has received limited attention in the academic literature. This paper uses innovation management and social constructionism to investigate the interrelationships of foodservice provisions and innovations in waste management. It is based on the evaluation of food waste solutions and innovations that combine strategic dimensions of waste management with practice-driven initiatives, including incremental (processes and technologies) and radical innovations. The paper presents a range of waste management initiatives, showing that their implementation in the foodservice sector varies depending on management’s beliefs, knowledge, goals, and actions. The concepts discussed here could help practitioners to become more aware of the factors that drive the adoption of food waste innovations. The prevalence of food waste has been a subject of interest and discussion in recent years and researches is being done to find effective ways to curb it. It has been identified as a primary issue in the sustainability of food production and consumption, in addition to the sustainability of food supply chains. Food waste can be divided into avoidable and unavoidable waste. Avoidable waste includes edible food and spoiled/damaged edible food, while unavoidable waste consists of inedible food like bones, fruit peels, and eggshells among others. Research shows that in Finland, 5% of purchased food is wasted in households, and an average person wasted about 20-30 kg of food in a year. The average total amount of food wasted in households yearly is about 120-160 million kilograms. Household wastage could be intentional or not. Many of the food wastage in households could be a result of forgetfulness or negligence for the food expiry date. In countries like Finland with the high cost of living, consumers are inclined to buy food nearing its expiry date due to the discount shop sellers attach periodically.
Published by: Reshma A. Babu, Kavya G., Harshitha B. R.
Author: Reshma A. Babu
Paper ID: V7I3-1549
Paper Status: published
Published: June 2, 2021
