Projects

DeepSAR: Vessel Detection in SAR Imagery With Noisy Labels

Unlike traditional optoelectronic satellite imaging, Synthetic Aperture Radar (SAR) allows remote sensing applications to operate under all weather conditions. This makes it uniquely valuable for detecting ships/vessels involved in illegal, unreported, and unregulated (IUU) fishing. While recent work has shown significant improvement in this domain, detecting small objects using noisy point annotations remains an unexplored area. In order to meet the unique challenges of this problem, we propose a progressive training methodology that utilizes two different spatial sampling strategies. Firstly, we use stochastic sampling of background points to reduce the impact of class imbalance and missing labels, and secondly, during the refinement stage, we use hard negative sampling to improve the model. Experimental results on the challenging xView3 dataset show that our method outperforms conventional small object localization methods in a large, noisy dataset of SAR images.

Seizure Prediction using EEG Data and Deep Transformer Models and CNN+LSTM-

A machine Learning project that I did during my online internship (due to COVID-19). Here we used a very recent model architecture i.e. Transformer model (Vaswani et al., 2017) introduced for NLP problems for our problem statement of time series data and its further prediction. View Project.

SNAKE-BOT :

A robotic structure resembling a snake that can move according to the given environment. This can be used for excavation, security purposes, and detection of drug trafficking under the land etc.

This project won the Rajasthan Hackathon and was funded with ~ $22K / Rs. 15 Lakh. For Twitter click here.

HANDY :

The project aims to lower the barrier in communication with the people who are deaf and mute. Traditionally, flex sensors have been used to detect the hand movements. But it is inaccurate and gives the same value no matter where the bent is. To solve this problem, we placed potentiometers at every joint of our hand so that we can detect exact hand movement and convert sign language in speech(or text). The person has to wear the glove and he can communicate using sign language. His phone needs to have the application that will generate corresponding speech that the other person can listen.

This project won the BITS Mesra Hackathon (HACK-A-BIT). Click here. Click here.

NUTTY SQUIRREL :

In this theme, a robot and a lift mechanism is designed that depicts a Squirrel that sorts, carries and places nuts at different places on land and in trees. The challenges in this theme includes V-REP Simulation, Path Planning, building a Robot and Lift Mechanism, Sensor Interfacing, designing a mechanism to pick and place the Nuts. A configuration image will be given to teams. The arena consists of thermocol blocks of different colours that are placed randomly. The robot traverses the arena to pick up a block and place it at a designated section S1 and S2. The teams needs to make a lift mechanism to carry the bot at a certain height to place blocks at the designated section S3.

This project was in top 20 of IIT-B National Robotics Competition e-Yantra. Click here.

OPTICAL FLOW :

A feature tracking algorithm using Lucas - Kanade method. By combining information from several nearby pixels, the Lucas–Kanade method can often resolve the inherent ambiguity of the optical flow equation. It is also less sensitive to image noise than point-wise methods. On the other hand, since it is a purely local method, it cannot provide flow information in the interior of uniform regions of the image.

This was one of my task during my internship for feature tagging and its location.

Object Detection :

Tried to implement Mask RCNN algorithm on Indian conditions.

ATTENDANCE SYSTEM :

Designed a prototype system for college to record the attendance of staff and students at same time using Bio-metrics.