Title: Deep learning models for driver drowsiness detection and VQA for road scene analysis
Abstract: My work mainly focuses on using AI for images and videos, like classifying images, answering questions from videos, and restoring images. In this talk, I will discuss about my project on Driver Drowsiness Detection, where I created a special dataset and built lightweight models that check the eyes, mouth, and head parts of drivers to detect driver drowsiness in real-time. I will also explain my project on Visual Question Answering for Indian road scenes, where I developed a new dataset and a system to help surveillance videos understand and answer questions from scenes.
Day, Date, Time: Wednesday, 09-July-2025, 11:30 am to 12:30 pm.
Mode: Online meet.
Speaker Bio: Dr. N. Adhithyaa holds a B.Tech and M.Tech in Information Technology and completed his Ph.D. in February 2025. With over 10 years of experience in software development, teaching, and research, he has worked as a Java Developer for an Australian firm, served as Assistant Professor in leading engineering colleges in Tamil Nadu, and worked as a Junior Research Fellow on an ICMR-funded project after qualifying GATE (CS) in 2017. He has published 5 Scopus-indexed and 3 SCI-indexed papers and has contributed to setting up AI laboratories and designing the Anna University R-2025 curriculum for the AI & DS programme.
MS Teams invite details:
Meeting ID: 476 399 639 663
Passcode: Ac3ch22i