This project developed: (1) a virtual dataset designed to test automated localization algorithms on planetary surfaces, such as the Moon or Mars, where GPS is unavailable; (2) a neural network approach for absolute localization by matching orbital maps with surface perspective imagery.
This finanace management app project which deals with the finance part of daily life, a solution for those who are not able to manage thier monthly expenditure and unable to invest on a right share market.
This project entails in taking in consideration all the criminal and violent acts which occur within our society. This project came to life due to the rampant misbehaviors of young scholars in the school milieu such as aggressive attacks towards teachers and instructors , rape
In this project, we are going to see how to train a COVID-19 face mask detector with Keras, and Deep Learning. I'm using Python Script to train a face mask detector The script additionally is divided into two parts:
1. Detect COVID-19 face masks from image
2. Detect face masks in real-time video
This work proposes a Recurrent Neural Network (RNN) model for CL that is able to deal with drift in input distribution without forgetting previously acquired knowledge. The Gated Incremental Memory is tested on two different RNNs (LSTM and LMN) and on standard CL benchmarks.
This aim of this project is to identify and segment roads in aerial imagery. Detecting roads can be an important factor in predicting further development of cities, and this concept plays a major role in GeoArchitect.
EMAR Mini is a minature version of EMAR, an open-source Emergency Robot Assistant to assist doctors, nurses and hospital staff during the COVID-19 pandemic, and similar situations we may face in the future.
I created a sign recognizer using Tensorflow framework. I gained insights about how we can develop application which can help people in various aspects.
The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.
A smart mirror is an application that enhances the user-experience of taking pictures.It classifies the natural beauty of humans which is not limited to fairness. Our system will help categorize beauty with respect to the anatomy of the face and other attributes.
Classifying different emotions using voice analysis using K Mean clustering. Currently we at a stage of predicting two emotions ANGRY and HAPPY and working on furthermore emotions like SAD and Lonely. This project will enable doctors or reachers to analyse patients who can't express their emotions.
Markov decision processes provide a formal framework for a computer to make decisions autonomously and intelligently when the effects of its actions are not deterministic. To solve this computationally complex problem, we experiment with scheduling on a low-power heterogeneous CPU+GPU SoC platform.