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Real Time Computer Vision and Sensing

to develop optimization strategies to reduce the computational complexity of deep networks at the cost of insignificant accuracy loss so that the state-of-the-art high accuracy networks can easily be ported to resource constrained devices, and to inc

Data Annotation and Market Place Project

XR for Education and Technology

Student Fellowship and MS Design Fellowship

Vision Based Autonomous Systems

Vision-based autonomous systems lab focuses on developing and establishing vision based technologies for achieving semi to full autonomy for mobility systems.

UG Fellowship in the area of industrial computer vision

To co-develop industrial machine vision technology with students selected through hackathon

A novel privacy preserving participatory noise-map system

The project aims to develop a federated learning-based noise mapping app for Android and iOS. It focuses on privacy-preserving algorithms for participatory sensing, enabling users to measure and share noise data securely.

Development of AI-powered multipurpose and intelligent security and surveillance system

The aim is to design and develop video analysis algorithms, sensors and neural network architecture as a complete solution for the next generation smart surveillance for a range of applications from healthcare to border surveillance.

Energy optimization for EV charging station through Machine Learning & AI

The project aims to develop synchronized hybrid inverter and an intelligent controller based on AI and ML, which has the ability to optimize the energy requirment that notonly increases profitability through cheaper power but also optimize exchange o

Body movement based energy harvester for health care application

To design a portable, easy to use wearable rechargeable system of nanogenerator, to address the challenges associated with efficacy and bio compatibility. Developing a piezoelectric nanogenerator that can harvest small-scale mechanical energies from