MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

World University root node

School of Computer Engineering & Technology

Engineering and Technology

Lecture Notes in Electrical Engineering

Detecting Diabetic Retinopathy Using Deep Learning Technique with Resnet-50

To track student attendance, colleges and schools use traditional methods involving manual marking on sheets. These methods are timeconsuming and tedious for teachers. The proposed system automatically records the student's attendance during lecture hours using facial recognition technology with image processing instead of the traditional manual methods. The proposed system works in a controlled environment, in which students, face images are captured and then upon recognition, their attendance is automatically marked in an Excel sheet. Student's face is detected using the Viola-Jones technique, whereas Linear Discriminate Analysis (LDA) along with KNN and SVM is used for face recognition. Experimentation shows that it provides better accuracy than the existing PCA and other techniques.. © 2020 IEEE.

Proceedings - International Conference on Smart Electronics and Communication, ICOSEC 2020

Automatic Students Attendance Marking System Using Image Processing and Machine Learning

Mesoscale Convective Systems are group of convective clouds extending over hundreds of kilometers in one direction. These cloud systems are responsible for most of the precipitation and severe weather conditions causing significant damage to property and loss of life. Therefore it is essential to study patterns of MCS occurrence. Global warming and increasing pollution also varies MCS patterns resulting in extreme weather conditions causing heavy rain and floods. MCS detection and tracking are important steps for studying its characteristics pattern. MCS are detected based on cloud temperature and its size thresholds. In this paper various MCS detection and tracking methods are surveyed and discussed citing their benefits, limitations and research directions. Presented work will help new researchers to understand current ongoing research related to MCS in combination with other weather phenomenon such as precipitation, storms and atmospheric circulations. Methods surveyed in this paper are based on satellite IR image dataset. © 2019 IEEE.

School of Electronics & Communication Engineering

2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019

METHODS for MESOSCALE CONVECTIVE SYSTEMS DETECTION and TRACKING:A SURVEY

Now a day, the mass events like political rallies, musical concerts, sports matches, school gathering and pilgrimage become an issue of the public security. So, Management of crowd at public places becomes a big issue. Crowd congestion prevents the smooth flow of the crowd and causes the unsafe condition; thereby causing many people lost their life. So, it is important to overcome such situation to provide the safety on time. It can be achieved by using the video monitoring device footage along with optical flow and standard deviation model to detect the crowd congestion and providing warning for managing the crowd. Higher the congestion level higher is the risk of life and occurrences of uncertainty. Based on the level of congestion and movement it is possible to predict the future flow of crowd in that direction. © 2016 IEEE.

International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT 2016

Motion detection using optical flow and standard deviation

Now a day, the mass events like political rallies, musical concerts, sports matches, school gathering and pilgrimage become an issue of the public security. In the past the research is based on the detection of the human behaviour and for finding the hazardous location. Crowd is a collection or gathering of many people in the same area at the same time. In such situation the density of people is high and this may causes the disaster. The proposed system will help to overcome such situation. The system detects the congestion with the help of optical flow and the standard deviation and gives warning when the congestion is detected. © 2016 ACM.