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  • Pages
01 Welcome
02 Chair and Director's message
03 Participants
04 Participants-2
05 Participants-3
06 Participants-4
07 Participants-5
08 Participants-6
09 Participants-7
10 Thank you
11 Future projects

CAPSTONE DESIGN PARTICIPANTS

Josh Zwiebel, Fayyad Reza, Mackenzie Chau, Teva Zanker, Leif Blake

Helicopters are Cool

6

We are building a modular vision system to solve the problem of in-flight collisions in helicopter operation. The design features OAK-D stereo housed in modular units suitable for attachment to the helicopter's tail, and skid or anywhere else that where a RAM mount fits. Object detection is efficiently processed locally on the module and then transmitted to a central computer via ethernet. The pilot is kept informed with a clear and intuitive GUI that displays object detection information.

For more information on our project, visit our website.

Elizabeth Drew

Kavir Gopaul

Nihit Gupta

Stephanie Skarica

MotoEye

7

Motorcyclists are 13.5 times more likely to get into accidents versus any other vehicle driver. MotoEye is a modular forward-facing obstacle detection and notification system for motorcycles. The system is wired to the bike battery ensuring system power for every ride. It features a stereo camera and utilizes a deep neutral network for obstacle detection to notify users via LED signals. MotoEye empowers motorcyclists to make informed decisions with the aim of reducing potential motorcycle accidents and improving rider safety on the roads.

Hetal Dawda

Laila Hashi

Rachel Du

Selina Hsu

Impact Health

8

Concussions are a commonly occurring injury in high-impact sports, resulting from force trauma to the head or body. This injury can result in serious long and short-term effects, and even impacts that do not result in concussions can cause long-term complications. Impact Health is creating a smart headband that detects impacts to the head and sends alerts when athletes should be taken off the field. The data can also be stored on the user’s account for quantitative analysis by medical professionals.

Matthew del Rosso

Junsong Li

Joshua Fernandes

Terrisa Wang

3D Print Shredder

9

3D printing is a fast-growing manufacturing method due to its ability to rapidly create complex shapes. However, this growth comes with an increase in non-recyclable waste as municipal curbside programs do not accept 3D print waste. The 3D Print Shredder aims to reduce the amount of waste generated by providing a simple way of reducing 3D print waste into a plastic mulch which can then be used in standard pellet extruders to reform the waste into useable filament.

Younes Reda

Felix Wong

Benjamin Schnapp

Lyndon Tang

Nightingale

10

Introducing Florence, a revolutionary robotic nurse assistant by team Nightingale. Florence is designed to alleviate the unprecedented workload on Canadian nurses imposed by the nursing shortage.

Florence is a human-centric, autonomous patient request fulfillment system.

Florence intelligently navigates through chaotic hospital floors, delivering items to patients while integrating seamlessly into its environment. Florence leverages novel autonomous navigation techniques, an interactive screen interface, and precise arm movement for a uniquely polished patient experience. Come experience the future of healthcare with Florence!

Jorge Castro, Shivam Bhatt, Riyad Khan, Joshua Unrau

S.W.O.L

11

Introducing the latest and greatest in robotics automation technology. Meet project S.W.O.L the Small Weight Omni Lifter.

Alone or with its Twin S.W.O.L makes moving furniture a breeze. Equipped with advanced omni-directional Mecanum wheels and LIDAR technology, S.W.O.L can navigate around obstacles and lift tables with ease. Whether you are rearranging your living room or moving, S.W.O.L’s robust gripping jaws makes your job stress free. Say goodbye to back pains and hello to S.W.O.L the future of indoor mobility.

For more information on our project, visit our website.

Ayush Mittal, Tushar Gupta, Prashuk Jain, Ian Truong

WasteBuddy

12

WasteBuddy is a garbage sorting system takes an image of a piece of garbage and categorizes it using image recognition technology. The system then directs the garbage to the appropriate bin, only opening the corresponding bin for the garbage to be deposited in. This helps streamline the waste management process, ensuring that the garbage is sorted properly, reducing contamination and improving recycling rates. The system is efficient, accurate, and environmentally friendly.

Brian Windhaus, Daniel Leung, Matthew Gencher, Liam Clark, Christopher Bearne

EdgeRunners

13

The current tools used to measure skate blades are manual and prone to human error. Skates with inaccurate blade properties negatively affect skater performance. Our solution, the EdgeRunner, is a digital measurement device that quantifies skate blade properties to provide enhanced quality, precision, and accuracy of the blade, ensuring optimized skater performance.

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