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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

2019 Capstone Projects

DEPARTMENT OF ELECTRICAL, COMPUTER AND SOFTWARE ENGINEERING (ECSE)

  • 1st PLACE - Active Vents

    Group #19

    Project Title: Actve Vents

    Students:
    Patrick Andruszkiewicz
    Anthony Desouza
    Chirag Karia
    Ziyue Wang

    Group Academic Supervisor: Dr. Akramul Azim

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud 

    Abstract
    The purpose of our capstone project is to design and analyze how machine learning can be used to intelligently control air supply in a home. With optimum control, we can effectively reach and maintain desired temperatures and have the ability to set different set points across different rooms in a residential property.

  • 2nd PLACE - Extensible Package Integration Controller: an IoT framework

    Group #23

    Project Title: Extensible Package Integration Controller: an IoT framework

    Students:
    Raven Castaneda
    Eric A Dubé
    Brady Ibanez
    Taylor Somann

    Group Academic Supervisor: Dr. Akramul Azim

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud 

    Abstract
    There exists a pervasive shift in the focus of networking technologies intended to account for new Internet of Things device implementations. As the need for greater numbers of included IoT nodes within a given Internet of Things system increases, there grows a further requirement to allow for automated and seamless component integration and interaction. In order to facilitate this component interaction, this project allows for in-memory data structuring to facilitate communication and data availability on a hub application. This includes a software package installation system for the easy deployment and integration of additional functionality, including support for the control of highly specialized devices. This functionality is made available to users through a web application-based interface which leverages the Mozilla Web of Things specification to communicate system capabilities to the user. These drivers can be configured with custom scripts for a variety of tasks including reading sensors and acting as a controller for other devices, with scripts triggered through the hub application. What results is a flexible and extensible framework for a user’s defined IoT system with customizability left at the fingertips of the implementer. This includes the ability to configure additional hub devices as lower-level controllers of scalable node clusters and generalized node drivers provided for custom, lean device-specific configuration.

     

  • 3rd PLACE - Modular Level Solid State Relay with Current Sense for Electric Vehicle Battery Implementation

    Group #17

    Project Name: Modular Level Solid State Relay with Current Sense for Electric Vehicle Battery Implementation

    Students:
    Wesley Paquette
    Andre Pinsonnault
    Tyler Smith
    Matthew Smith

    Group Academic Supervisor: Dr. Sheldon Williamson

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud 

    Abstract
    The purpose of this project is to design a modular level solid state relay with current sensing for the Ontario Tech Formula SAE electric vehicle. The High Current Solid State Relay (HCSSR) is an electronic load measurement and breaking device. It essentially is a compact power switch for high current systems. There are currently several Battery Management System (BMS) boards due to power constraints of the BMS board. Our objective is to reduce the total amount of BMS boards required by rerouting the high current path off of the BMS board. Secondly, a new isolated current sensing circuit is integrated to provide accurate reading of the vehicle’s current operating condition. The design meets FSAE requirements and existing component specifications. In addition, the design has extensive protective measures to ensure safe and reliable operation of the accumulator packs. The design incorporates a versatile, low loss, minimal weight, cost effective, and highly efficient design. The device is compatible with multiple input voltage levels in order to be adaptable for future electric vehicle accumulator designs. The current sensor has multiple current sensitivities so that it may be accurate in low and high current ranges, up to 300A.

  • Next Generation Photovoltaic Power Supply

    Group #1

    Project Title: Next Generation Photovoltaic Power Supply

    Students:
    Aryan Agnihotri
    Lingli Gong
    Aiman Khan
    Adit Patel
    Tadeas Smolko 

    Group Academic Supervisor: Dr. Mohamed Youssef

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud 

     Abstract:
    The purpose of our project was to design and develop a power supply which harvests solar energy and converts it into electrical energy with high efficiency to power a microprocessor. There are several projects heavily relying on the use of microcontrollers such as Arduino and raspberry pi. The focus of our project is to design a solar power supply to power such microcontrollers which requires low voltage and the ability to store power when it is not connected to the load. In order to produce a single stage design, a buck/boost converter has been utilized in the power management unit.

  • Renofai – A Platform for Connecting Clients to Contractors for Home Improvement

    Group #2

    Project Title: Renofai – A Platform for Connecting Clients to Contractors for Home Improvement

    Students:
    Reid Butson
    Bradon Lodwick
    Christian Macleod
    Thomas Reis

    Group Academic Supervisor: Dr. Qusay Mahmoud 

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud 

  • Predictive Analysis on Road Quality

    Group #3

    Project Title: Predictive Analysis on Road Quality

    Students:
    Ali Ahmadi
    Jonathan Fischer
    Habibullah Noorzaie
    Viraj Patel

    Group Academic Supervisor: Dr. Khalid Elgazzar

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

  • Seacure Examination System

    Group #4

    Project Title: Seacure Examination System

    Students:
    Keneth Dela-Cruz
    James Morrison
    Joshua Pineda
    Matthew Rabski

    Group Academic Supervisor: Dr. Ramiro Liscano

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    Current laptop examination systems are restrictive and provide basic security systems. To allow for more varying testing of skills, as opposed to typical memorization heavy written-exams, students should be able to access offline-applications during exams while also not being able to communicate with other students, to better take advantage of the functionality given by laptop examinations.

    SEAcure is a electronic testing system that allows faculty to create Blackboard tests normally, but only allow students to access and undergo the test when they are using the SEAcure client, which by doing so, will prevent unauthorized communications. Instructors can view live status' of all students in their class who are connected to the SEAcure system, to get a better gist of what the students are doing, and to further ensure that cheating is not taking place.

     

     

     

  • Locate: Proximity-Based Attendance Application

    Group #5

    Project Name: Locate: Proximity-Based Attendance Application

    Students:
    Logan MacDonald
    Samina Rahmanyar
    Zane Rammal
    Kabilan Sivagnanasundaram

    Group Academic Supervisor: Dr. Ramiro Liscano

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    Locate ​is a proximity-based, semi-automated attendance system that prioritizes non-intrusiveness, low cost, and simple deployment. It uses a minimal interface and offloads CPU intensive computations to the cloud, as to not distract the user or slow down their device. Using Wifi and cloud technology allows for simple deployment and also minimizes costs because of pre-existing hardware. We use received signal strength indication (RSSI) from the students’ devices to the access points around the campus to calculate distance and determine a student's location in a room. We determine which router the student is connected to using the MAC address of the access point (BSSID). The program will detect a student as being absent if they are not connected to the application or detected in the incorrect classroom.

  • Classification of EEG Brain Signals Using the OpenBCI Ultracortex Mark IV Headset

    Group #6

    Project Name: Classification of EEG Brain Signals Using the OpenBCI Ultracortex Mark IV Headset

    Students:
    Jonas Albaira
    Kevin Apuyan
    Jacob Morra
    Vrund Shah

    Group Academic Supervisor: Dr. Khalid Hafeez

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    Our project involves the acquisition, analysis, and interpretation of motor-based Electrophysiological signals generated by the brain via the OpenBCI Mark IV Headset. Specifically, EEG brain waves (taken from two frontal and two rear node locations) are sent to a computer by Bluetooth and published in real-time in a Graphical User Interface; this data is further analyzed and used to run a graphical application. The user provides up to three input actions during the input acquisition time frame: eye blink, jaw clench, and eyebrow raise. The system is able to correctly classify which action is performed based on the EEG signal data alone.

    This project has potential applications in the entertainment and medical industries. As an entertainment application, the technology could be paired with virtual reality for engaging consumer experiences. As a medical application, the capability to use a BCI (Brain-Computer-Interface) for application interactions could be beneficial to those suffering from severe motor disabilities, such as amyotrophic lateral sclerosis (ALS), spinal cord injury, stroke, and other serious neuromuscular diseases or injuries. BCI technology holds promise to be particularly helpful to people who are “locked-in,” cognitively intact but without useful muscle function.

  • Identity Recognition for Vehicles

    Group #7

    Project Name: Identity Recognition for Vehicles

    Students:
    Amin Avanessian-Zadeh
    Ebrahim Merchant
    Cherlyne Santhirarajan
    Sikandar Shahbaz
    Devante Wilson

    Group Academic Supervisor: Dr. Khalid Hafeez

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    This product will be for any vehicle owner wanting to make their vehicle’s accessibility more secure. This will be achieved by implementing security authentication measures for anyone who enters the vehicle. The owner of the vehicle will always have top priority over the use of the vehicle. They will have the power to add any new users into the vehicle’s user recognition database and dictate the role that a specific user will hold. For instance, the vehicle owner will be able to add a user into an autonomous car’s system. However, the owner may decide if this specific user is only allowed to be a passenger in the vehicle and the user is not fit to drive - a preventative measure for not authorizing underage drivers, for example. In this case, the passenger will be able to get into a passenger seat for the vehicle and travel to a designated destination through its self-driving ability.

  • Leviosa Express

    Group #8

    Project Title: Leviosa Express

    Students:
    Aamir Ashraf
    Abdul Bhuiya
    Asif Haniff
    Somto Kofo-Alada
    Dike Okorie

    Group Academic Supervisor: Dr. Mohamed Youssef 

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    Given the inspiration of the hyperloop concept, envisioned and proposed by Elon Musk. The Leviosa Express is a project that includes a three phase power inverter responsible for convertering fixed DC voltage to a minimal harmonic three phase voltage source to provide power to a Linear Induction Motor, which in turn is responsible for the levitation of the train.

  • Broombot - intelligent cleaning robot that uses LiDar for spatial mapping

    Group #9

    Project Title: Broombot - intelligent cleaning robot that uses LiDar for spatial mapping

    Students:
    Daniel Messiha
    Brock Watling
    Zachary Winn
    Bradley Wood

    Group Academic Supervisor: Dr. Akramul Azim

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    The chore of having to vacuum is one no one wants to be faced with. It is laborious, monotonous, and boring, and in today's fast-paced society, it is far too time-consuming. This is why Robotic Cleaners have become much more popular and prevalent in the last few years, as it gives its users an escape from this monotonous weekly chore.
    Our goal with this project will be to improve the robot mapping, obstacle avoidance and the main task of cleaning a room conveniently and efficiently with our cleaning robot for the user

  • Static Transfer Switch

    Group #10

    Project Title: Static Transfer Switch

    Students:
    Hamza Chaudhry
    Dzijacky Dzijacky
    Danish Shaki

    Group Academic Supervisor: Dr. Vijay Sood

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

  • Smart Power Arcing Detection System (SPArcDS)

    Group #11

    Project Title: Smart Power Arcing Detection System (SPArcDS)

    Students:
    Halil Bayraktaroglu
    Andrew Middleton
    Johnathon Sinopoli
    Suhas Sunder

    Group Academic Supervisor: Dr. Namdar Saniei

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    The main goal of our project is to provide consumers with an easy way to stop and monitor arcing faults within their homes from any location. In order to achieve this we have altered a standard outlet module to fit components that work together to detect if a dangerous arc is occurring. The outlet module will trip so the arc is neutralized all while sending a signal to a wifi hub which will send a notification to the users cell phone alerting them of the arc. In order to achieve this ease of access, our project will allow users to monitor the SPADS device using an app on their mobile phone. This app will communicate with the device via the internet, providing users with real time feedback and alerts. Our project will also be easy for homeowners to use and implement in a way that eliminates the need for an electrician to get involved. In order to achieve this, our project will allow consumers to plug in the device into any outlet in the house that requires arcing protection. Ideally, all outlets in an old home will need to be monitored for arcing in order to protect all important wires from causing arcing related fires. The recommended ratio of devices would be one SPADS device per outlet in order to protect virtually all circuits in the home.

     

  • FYND

    Group #12

    Project Title: FYND

    Students:
    Abdi Ibrahim
    Justin Mendes
    Shomari Simpson
    Mack Zahn

    Group Academic Supervisor: Dr. Khalid Hafeez

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    An application that allows people to post lost and found items. Once matched, users can message each other without revealing too much personal information to verify the validity of the match and resolve the post. Users earn credits that can be collected from returning other user’s lost items. These points can be redeemed for small prizes to incentivize participation and cooperation.

  • Hyperloop Technology

    Group #13

    Project Title: Hyperloop Technology

    Students:
    Mohiminul Aziz
    Navjeet Brar
    Ryan Lum
    Fariha Mursheda

    Group Academic Supervisor: Dr. Mohamed Youssef

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    The MagMotion Hyperloop Technology Capstone project involves determining an effective design for a power inverter and system integration for a Hyperloop system. This project focuses on power electronics technology and system integration through the use of electromagnetics and linear motion to move a pod on a track. Hyperloop transport, a high speed mode of passenger and freight transport, incorporates low pressure and minimal air resistance to move a pod at speeds much faster than current technologies. The high speed transportation can be attributed to the use of magnetic levitation rails and linear synchronous motors. Hyperloop technology offers a variety of engineering benefits such as high speed travel, low power requirements, reduced friction and air resistance, lower maintenance, and environmental care. Additionally, this system eliminates the need for fossil fuels as the system is powered through electrical sources, thus reducing consumption of fossil fuels and emissions of carbon dioxide and pollutants.
    While advances have been made in Hyperloop technology, there is still a need for awareness of technology, increased speed and efficiency. Through a sponsorship with Bosch Rexroth Canada, the MagMotion Hyperloop project addresses the need for innovation in the development of Hyperloop technology and demonstrates the effectiveness of magnetic linear propulsion systems.

     

  • Detecting Political Bias in News Outlets

    Group #14

    Project Name: Detecting Political Bias in News Outlets

    Students:
    Nathaniel Aldred
    Luke Baal
    Graeham Broda
    Ansh Mehta
    Steven Trumble

    Group Academic Supervisor: Dr. Shahryar Rahnamayan

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

  • Wireless Smart Power Measurement Device (WSPMD)

    Group #15

    Project Name: Wireless Smart Power Measurement Device (WSPMD)

    Students:
    Mohsin Ali
    Urvaksh Daver
    Elliot Fraizinger
    Abdul Khan
    Karan Thaker

    Group Academic Supervisor: Dr. Namdar Saniei

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    The Wireless Smart Power Measuring Device is designed to measure Current, Voltage Power and Power Factor of a power line when there is a device or load connected to the line. The goal of the project is to measure and calculate these values without making any physical connections to the line. To get these readings, sensors that  detect Electric and Magnetic fields are used to calculate the Voltage and Current.  Current and Voltage values are then used to calculate Power and Power Factor of a power line.  An Arduino microcontroller is used in the device to perform the calculations and send data via Bluetooth to  an  App which the team created to work on an Android Smartphone or Tablet. The App is capable of graphically showing Voltage and Current waveforms as well as display calculations for Power Factor and Power consumed. This device can be a convenient and low cost solution to find measurements of devices in the household or office.

     

  • Smart Mini Farmhouse

    Group #16

    Project Name: Smart Mini Farmhouse

    Students:
    Chunhui Guo
    Ghaith Haddad
    Thomas Li
    Yadunath Sapkota
    Yukun Zhao

    Group Academic Supervisor: Dr. Namdar Saniei

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    The increasing population demands new solutions in agriculture, especially in the quality, safety and speed at which is it done. Therefore, we intend to create a comprehensive integrated system that combines hardware and software to automate and manage tasks that a farmer would normally do while providing more accuracy and reduced workload. To do so, the system utilizes methane, Carbon Dioxide, hydrogen sulfide and ammonia sensors along with other electronical components, which will feed real-time information on the level of toxic gases present in its environment to the user. In addition, the system will also keep track of the temperature and humidity and if the actual temperature passes a certain threshold, it will automatically activate a ventilation system to cold down the insides of the barn back to an adequate temperature. This device is also able to provide remote security to the livestock by using a motion sensor to detect exterior movement and if triggered, then it would alert the user of it, and give them the option to activate the security camera to survey the surrounding areas for any potential dangers. All interactions with the device described will be done through a user-friendly mobile application where the user can control certain components and check on the condition and safety of their farm remotely.  With this project, we hope to offer an innovative and viable alternative to the agriculture industry.

  • Energy Management System of a Mircrogrid

    Group #18

    Project Title: Energy Management System of a Mircrogrid

    Students:
    Chris Brown
    Kandarp Gandhi
    Chelsea Joson
    Kiran Mistry
    Josh Vanberkel

    Group Academic Supervisor: Dr. Vijay Sood

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    Distributed energy resources are becoming an increasingly popular supply of power generation. Microgrids utilize these energy sources and have the potential to buy, but more importantly sell power to the main grid. With the integration of these resources into a microgrid, there is a need for an optimal design of an Energy Management System (EMS) to optimize cost.

    This project details the development of an EMS for modelling Ontario Tech’s microgrid using MATLAB and Simulink simulations. The simulated microgrid includes various generation sources (batteries, solar, wind, combined heat and power (CHP), diesel generators), the electrical grid, loads, and electrical switchgear. The simulation also includes control functions such as automated load shedding and critical load preservation that allows for the optimization of the microgrid operating costs. Each generation source has an individual cost function which analyzes the power it is anticipated to deliver to the microgrid. Finally, the physical user interface in the form of an Arduino and a button-operated switch allows us to manually control when the microgrid simulation is operating in grid connected or islanded mode.

    In conclusion, this project achieves successful switching between grid connected or islanded mode for a simulated microgrid. Optimization of the microgrid operating costs has also been accomplished.

  • Study Space Availability

    Group #20

    Project Title: Study Space Availability

    Students:
    Mohammad Ahmed
    Carlos Fabregas-Mejia
    Angelie Kennedy
    Anjali Shah

    Group Academic Supervisor: Dr. Ramiro Liscano

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    The Library Space Availability project stems from an effort to help alleviate a campus wide concern regarding study space availability. While the project team aims to start by helping close to home targeting the very campus they study at, these issues are no doubt prevalent at various libraries and growing university and college campuses world wide.

     While the obvious solution of expanding and creating new buildings is not always economically or logistically possible, this project instead aims to optimise existing spaces. The largest study space on campus being the library is the obvious place where many students first check when planning to study. Many inefficiencies plague students as they spend extensive time searching for study spaces going up and down floors often to find no space is available. The proposed system aims to inform students and library staff of how many seats are available in each section of the library in real time. This information will be made available online so that students can view how much space is available in the library before making there way to the library and also to allow students to decide what floor and area to search for seating.

    Another concern with library seating is an issue of individuals leaving personal belongings on tables for extended periods of times, effectively claiming the seat for the whole day as a personal desk. The system will tag tables that have unattended belongings on them for more then a threshold of time and update the library security to remove said belongings from the table to allow others to use the space.

    Furthermore as the system will be making many observations and be uploading information in real time to the palms of students in search of study space, the system will also hold records with time stamps of seat availability on different days and times. The system will then make various statistics out of this data such as peak hours for the library and when it is less crowded. A couple of obvious uses of such data include letting students know when the library is usually busy so they can schedule there day accordingly. This also means the library can have its usage better distributed throughout the day if students plan to come at less busy hours. Various campus events can look at this data to plan what may be good or bad times to hold events that may effect the library. The library can keep statistical records of usage to plan for future expansions and know what areas of the libraries are most used and build new red, yellow or green zones according to there specific usage.

    The project team intends to create such a system by installing cameras in the library that will preform image processing on the tables. For the privacy of students, no video data will be stored and the image processing will not preform any facial recognition. The image processing will recognise tables, if any objects are sitting on the table, and also if anyone is sitting at the table. After processing this information it will make a decision regarding is the table available for usage or not and update this information to the web page where students can see how many seats are available in the various sections of the library.

  • Software Simulation of an Autonomous 8x8 Electric Combat Vehicle

    Group #21

    Project Title: Software Simulation of an Autonomous 8x8 Electric Combat Vehicle

    Students:
    Navjot Aulakh
    Musadiq Soso
    Nico Zarfino
    Jeffrey Zhang

    Group Academic Supervisor: Dr. Jing Ren & Dr. Moustafa El-Gindy

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

  • Capstone Assistance and Management Platform (C.A.M.P).

    Group #22

    Project Title: Capstone Assistance and Management Platform (C.A.M.P).

    Students:
    Mohd Ahraaz
    Saisudan Bashkaran
    Tandeep Mangat
    Nafiz Amin

    Group Academic Supervisor: Dr. Qusay Mahmoud

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

  • Passive RFID Sensing and Tagging System

    Group #24

    Project Title:

    Students:
    Tariq Hack
    Nithusan Ranjanathan
    Stanley Truong
    Riaz Ulla

    Group Academic Supervisor: Dr. Ying Wang

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    This project presents a passive proximity sensor for security purposes by utilizing a Radio Frequency Identification (RFID) sensing system in order to detect items with or without an RFID tag, by enabling the Ultra High Frequency (UHF) Antenna to function as a sensing and tagging system. This system uses a standard RFID tag reader with an external antenna to pick up the IDs of tagged objects while using an additional sensing device to detect any interruption in the line of sight. A unique identifier would be generated for each object that passes through the system without a tag.

  • Greenhouse Monitoring System

    Group #25

    Project Title: Greenhouse Monitoring System

    Students:
    Prasheel Bhagalia
    Raynosan Edmond
    Austin McCulloch
    Frobisher Moses

    Group Academic Supervisor: Dr. Qusay Mahmoud

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    A prevalent consideration that comes with the use of greenhouses is its crop monitoring, which is often the focal point of its operations. This requires different devices to be used in order to keep track of the plant status, and have to be frequently monitored. The use of Internet of Things (IoT) devices have increased exponentially over the years due to the variety of services they can provide with a major factor being the collection and management of data. We intend on making use of IoT devices in our greenhouse monitoring system by using a network of sensors which are connected to the internet, so the user can have constant access to their greenhouse/plant vitals. Various types of sensors will be used such as temperature, soil moisture, carbon dioxide, and others, to read information about the plant & the environment they are in. The modules will transmit this data using Message Queuing Telemetry Transport (MQTT) protocol; a publish-and-subscribe system. The MQTT broker will receive data from the sensors and send it to a cloud service, which will be publishing this data. From there, the user will be able to access the sensor data through the application, and will have continuous access to their plant data. With this system, users will have a means to access the health of their plants without having to manually analyze each individual plant. Additionally, as the application is implemented as a Software-as-a-Service, the application itself is scalable to both the industrial level, as well as the commercial level, if need be.

  • COS: An application of Deep-Learning Theory to Image Segmentation

    Group #26

    Project Title: COS: An application of Deep-Learning Theory to Image Segmentation 

    Students:
    Avaneesa Basappa
    Mirna Jegatheeswaran
    Harminder Paink
    Huda Sarwar

    Group Academic Supervisor: Dr. Jing Ren

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    Cognitive Oncology Systems (COS) covers the domains of Deep Learning (DL), Cloud Computing (CC), Numerical Computation (NC), and the DL sub field of Semantic Image Segmentation (SIS). This project applies DL to medical imaging, which provides a non-invasive method to visualize body parts, tissues and organs of the human body. In addition, the application of DL can assist in the diagnoses, treatment and monitoring of many different health conditions. The purpose of COS is to alleviate issues associated with the diagnosis of prostate cancer faced by Oncologists.

    To identify an abnormality or tumor from a scan, an experienced Oncologist is needed. As prostate cancer is one of the most common types of cancer in Canada, proper diagnosis is imperative, and COS will have the ability to perform this function without the need of an experienced doctor. In addition, COS provides a database that organizes patients and the information associated with each patient, which includes past medical history, scans and medical statistics.

     

  • Dimmable Power Supply for LED Light Fixtures

    Group #27

    Project Name: Dimmable Power Supply for LED Light Fixtures

    Students:
    Kamran Nazir
    Christian Perez
    Ali Siddiqui
    Hanein Ziad

    Group Academic Supervisor: Dr. Vijay Sood

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    LED (light emitting diodes) bulbs and fixtures are extremely popular due to various advantages such as their long life and their efficiency. Not only are they high in efficiency during normal operations when compared to incandescent bulbs, but they are also efficient when using dimmers. This dimming is achieved by implementing Pulse Width Modulation (PWM) as opposed to the conventional voltage dimming methods used for incandescent technology.

    In order to dim LED lights, two main components are required: An AC-DC Power Supply and a dimmer circuit. The goal of this project is to create and combine these two components into a single, cost-effective, compact and energy effective product.  Additionally, to make this product more appealing, more than one dimming protocol was investigated in hopes of making the LED Dimmable Power Supply modular and multifunctional in nature.

    Various simulations and prototypes were successfully investigated in great detail to observe behaviors and compatibility between the proposed technologies with existing LED Light Fixtures.  In conclusion the results of this Capstone show that, with the appropriate man-power, oversight and access to correct technology, this project is extremely practical.

  • DIY RF Measurements

    Group #28

    Project Title: DIY RF Measurements

    Students:
    Jacob Aldred
    Anas Almanaa
    Aws Hamoodi
    Orhan Turkoglu

    Group Academic Supervisor: Dr. Ying Wang

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
     The purpose of this project is to have an educational teaching method for students to allow them to understand what radio frequency measurements are and how it works with a limited budget. There are many different testing aspects for radio frequencies. In this project we have tested two different aspects, radiation pattern and gain. We are using microstrip antenna, directional antenna, drone and router. There is four different type of tests. Moreover there are two different environments for those tests, to better compare the results. Those tests will give the students a basic understanding on how those aspects works since radio waves are invisible.


  • Cut-It

    Group #29

    Project Title: Cut-It

    Students:
    William Glover
    Marco Lee
    Rathiban Raveendran

    Group Academic Supervisor: Dr. Jing Ren

    Course Instructor & Capstone Coordinator: Dr. Qusay Mahmoud

    Abstract
    For our project, we developed the ‘Cut-It’ application for iOS. This app is designed as a way to address several problems faced by haircutting businesses and their customers, although it is intended to be easily modifiable to allow it to be used in other business types. It allows for ‘suppliers’ (barbers in this case) to create their own profiles where they can add relevant information about pricing, styles, experience, and other characteristics. Customers can use this information to find barbers/suppliers of interest using the filtered search system. Customers may also create their own profiles to aid in this process.

    Suppliers can set their available hours, which will be displayed in an appointment scheduling interface. This will allow customers to book appointments at a chosen business through the app, and also make a payment to the barber with an integrated payment system. There is also a review/rating system, allowing the customers to review barbers. Overall, this system is meant to have a positive impact on the business/profits of barbers, and provide a stable, standardized way for customers to choose barbers and quickly set up appointments and payments.  


DEPARTMENT OF AUTOMOTIVE, MECHANICAL, AND MANUFACTURING ENGINEERING (AMME)