An Autonomous Device With Sub-1ghz Wireless Communication And Object Tracking Capabilities In Indoor Environments - Peer To Peer Communication

Jan 2015 - May 2015

A Project which involved the use of the Embedded Processor TI MSP 430 establishing a Peer to Peer Communication between Devices using Code Composer Studio.

The microcontroller operates at the frequency range of 387-464Mhz range enabling the device to deliver very low power.The inbuilt CC1101 transceiver present in the TI MSP430 acts as the talker and listener in peer-to-peer communication. SimpliciTI was the protocol used for the connection between Devices.

Sense-Able Greenhouse

Nov 2016 - December 2016

The Project “Sense-Able” Greenhouse is a project developed to monitor the conditions in a greenhouse using various sensors like the Temperature Sensor, Light Dependent Resistor (LDR), Moisture Sensor and also use a camera interface to create optimal conditions for a plant to grow in a particular greenhouse. The moisture sensor is placed in the soil where the plant grows while the temperature and LDR sensors are placed at the environment in which the plant grows. The main objective of the project was to give access to anybody with a greenhouse to automate their monitoring even from a remote place away from the greenhouse. The project is done using a Beaglebone Black which runs a Linux Angstrom distribution and a Flask Based Web application User Interface. The values of each sensor is read by the Beaglebone black using the inbuilt 12-bit ADC and pushing the values to the homepage of the User Interface using a Flask Based Web-server. Based on the values monitored in the homepage, each user can modify the threshold limits for the temperature, moisture and light being measured. If the values go beyond the ranges for the temperature and moisture, the fan/motor actuators are switched on/off. Similarly, the LED is switched on for the threshold of LDR.

The main motivation for the project is due to the fact that we see an increase in the number of greenhouses coming up over the past decade or so (especially in recent times). Maintaining the condition of the plants inside the greenhouse under all seasons and weather conditions is becoming a big issue. At the same time, monitoring all these values manually is hard. So building an independent monitoring system that can regulate the conditions would be a blessing. This project aims to help all those people with greenhouses monitor their optimal conditions for the plants to grow healthy.The Project “Sense-Able” Greenhouse is a project developed to monitor the conditions in a greenhouse using various sensors like the Temperature Sensor, Light Dependent Resistor (LDR), Moisture Sensor and also use a camera interface to create optimal conditions for a plant to grow in a particular greenhouse. The moisture sensor is placed in the soil where the plant grows while the temperature and LDR sensors are placed at the environment in which the plant grows. The main objective of the project was to give access to anybody with a greenhouse to automate their monitoring even from a remote place away from the greenhouse. The project is done using a Beaglebone Black which runs a Linux Angstrom distribution and a Flask Based Web application User Interface. The values of each sensor is read by the Beaglebone black using the inbuilt 12-bit ADC and pushing the values to the homepage of the User Interface using a Flask Based Web-server. Based on the values monitored in the homepage, each user can modify the threshold limits for the temperature, moisture and light being measured. If the values go beyond the ranges for the temperature and moisture, the fan/motor actuators are switched on/off. Similarly, the LED is switched on for the threshold of LDR.

The main motivation for the project is due to the fact that we see an increase in the number of greenhouses coming up over the past decade or so (especially in recent times). Maintaining the condition of the plants inside the greenhouse under all seasons and weather conditions is becoming a big issue. At the same time, monitoring all these values manually is hard. So building an independent monitoring system that can regulate the conditions would be a blessing. This project aims to help all those people with greenhouses monitor their optimal conditions for the plants to grow healthy.

Open Sesame - A Kotlin Language Based Android Application

May 2020 - Aug 2020

A project that would enable garage owners to open their garage doors with the use of Android application avoiding the use of an external beacon remote.

This project was submitted as the Signature Assignment for the Course "Mobile Applications and Internet of Things Development for Entrepreneurs."

For more information such as Project Presentation, Code Structures, Database Management and much more,...
Please visit the GitHub Link by clicking on the button below...

3-Variable Boolean Satisfiability Problem Solver using Conflict-Driven Clause Learning

Nov 2015 - Dec 2015

What is Boolean Satisfiability Problem?

In logic and computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated SATISFIABILITY, SAT or B-SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula. In other words, it asks whether the variables of a given Boolean formula can be consistently replaced by the values TRUE or FALSE in such a way that the formula evaluates to TRUE. If this is the case, the formula is called satisfiable. On the other hand, if no such assignment exists, the function expressed by the formula is FALSE for all possible variable assignments and the formula is unsatisfiable. For example, the formula "a AND NOT b" is satisfiable because one can find the values a = TRUE and b = FALSE, which make (a AND NOT b) = TRUE. In contrast, "a AND NOT a" is unsatisfiable.

SAT is the first problem that was proven to be NP-complete. This means that all problems in the complexity class NP, which includes a wide range of natural decision and optimization problems, are at most as difficult to solve as SAT. There is no known algorithm that efficiently solves each SAT problem, and it is generally believed that no such algorithm exists; yet this belief has not been proven mathematically, and resolving the question of whether SAT has a polynomial-time algorithm is equivalent to the P versus NP problem, which is a famous open problem in the theory of computing.

Nevertheless, as of 2007, heuristic SAT-algorithms are able to solve problem instances involving tens of thousands of variables and formulas consisting of millions of symbols, which is sufficient for many practical SAT problems from, e.g., artificial intelligence, circuit design, and automatic theorem proving.

Conflict Driven Clause learning is associated with SATisfiability Solvers in Boolean Algebra. Enriches the search by emplying clauses learning whilst the search is on so as to improve the speed of the search thereby improving the efficiency of the search. CDCL has many advantages in the field of Electronics, Medicine, Industry etc.

For more information on Boolean SAT Solvers, visit the following link:-
<- Visit the Link Here ->

Researching Wireless Data Packet Capture using Wireshark

April 2016

A detailed analysis of the Packet Captured from a Single Network using Microsoft Network Monitor 3.4 and using Wireshark to analyse the data rates and the type of packet captured. Finally a histogram is plotted based on the results obtained. The research with packet captured at different locations and time of the day gives us an observation of the usage of the data.

This project was submitted as the Final Research Case Study for the Course "Wireless LAN"

For more information, kindly contact me.

Cache Memory Implications - A Research Study on CPU vs GPU using Matrix Computations and Linux Perf Tool

April 2016

A research study on performance analysis of the GPU against CPU and also the implications that the computations have on Cache Memory. A matrix Computation in C and the analysis using a Linux Perf Tool present in a Linux OS with commands suiting to compute the analysis and contrast it with the results obtained.

What is Linux Perf Tool?

Linux provides a performance monitoring and analysis tool called conveniently perf. So what distinguishes perf from other well-known tools? The answer is that perf provides access to the Performance Monitoring Unit in the CPU, and thus allows us to have a close look at the behavior of the hardware and its associated events. In addition, it can also monitor software events, and create reports out of the data that is collected.

You can install perf in RPM-based distributions with:

For Debian Users: # sudo aptitude update && sudo aptitude install linux-tools-$(uname -r) linux-tools-generic

Once you have installed perf, you can refer to its man page for a list of available subcommands (you can think of subcommands as special options that open a specific window into the system). For best and more complete results, use perf either as root or through sudo.

Check out the List of Pre-Defined List using: # perf list sw

This project was submitted as the Final Research Case Study for the Course "Computer Architecture."

For more information, kindly e-mail with your queries.

Motion Controlled Bot with Persistence of Vision

Mar 2016 - May 2016

Project that involved the use of Embedded Systems Design and the use of ARM Architecture based Microcontroller to perform a Robot Car that can be manipulated with these of Joystick with built-in Auto Mode that avoids obstacles.

An Embedded project based on KL-25Z Freescale Freedom Board(ARM Cortex M0+) with I2C ,LCD and Motor Driver Interface for the Motion Control and ATTiny85 for Persistence of Vision. The Bot had capabilities to detect obstacles through the use of Ultrasonic Sensors which were interfaced to the KL-25Z as well. Further the Bot was enhanced to work in Dual Mode - the Autonomous Mode and the Control Mode.

A persistence of vision (POV) refers to the phenomenon of the human eye in which an afterimage exists for a brief time (10 ms). A POV display exploits this phenomena by spinning a one dimensional row of LED's through a two dimensional space at such a high frequency that a two dimensional display is visible.

This project was submitted as the Final Project for the Course "Embedded System Design"

For more information, kindly e-mail with your queries.

Real-time Face Detection and Tracking with OpenCV

Jul 2016

Face Recognition is a technology in computer vision. In Face recognition / detection we locate and visualize the human faces in any digital image. It is a subdomain of Object Detection, where we try to observe the instance of semantic objects. These objects are of particular class such as animals, cars, humans, etc. Face Detection technology has importance in many fields like marketing and security.

What is Open CV?

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.

The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies.

Along with well-established companies like Google, Yahoo, Microsoft, Intel, IBM, Sony, Honda, Toyota that employ the library, there are many startups such as Applied Minds, VideoSurf, and Zeitera, that make extensive use of OpenCV. OpenCV’s deployed uses span the range from stitching streetview images together, detecting intrusions in surveillance video in Israel, monitoring mine equipment in China, helping robots navigate and pick up objects at Willow Garage, detection of swimming pool drowning accidents in Europe, running interactive art in Spain and New York, checking runways for debris in Turkey, inspecting labels on products in factories around the world on to rapid face detection in Japan.

This project was submitted as the Final Project for the Course "Real-Time Embedded Systems"

For more information, kindly e-mail with your queries. or,
Click Here for the Github Page

Flask based Secure Embedded Web Application on Arduino Yun

Dec 2016

A Web Application created using Flask Application on Arduino Yun. The project uses authorization for configuration changes and uses a database to update the user login information. Additionally, the web application uses session, authorizations, One-Time Passwords, Reads Sensor value and displays it on the homepage, Failed login attempts are displayed to the user and repeated failed logins are blocked. The sensor value is also displayed using SNMP and a firewall is implemented. The project is a Moisture level tester which encases all the above-mentioned features.

What is Flask?

Flask is a lightweight Python web framework that provides useful tools and features for creating web applications in the Python Language. It gives developers flexibility and is an accessible framework for new developers because you can build a web application quickly using only a single Python file. Flask is also extensible and doesn’t force a particular directory structure or require complicated boilerplate code before getting started.

Install Flask using the Command: "pip install flask"

A Simple Hello World Code in Flask Application looks like this:

This project was submitted as the Final Project for the Course "Secure Embedded Systems"

For more information, kindly e-mail with your queries. or,
Click Here for the Github Page