CAPSTONE DESIGN PARTICIPANTS
Tarnpreet Singh Bhatti
Hossam Hassan Gaber Gomaa
Kapilan Satkunanathan
Namoos Yousufzay
SENSE
6
Millions of visually impaired individuals currently rely on walking sticks which require training or guide dogs that have high maintenance. Furthermore, these solutions supply little data about the user’s surroundings and keep their hands occupied. SENSE is a hands-free system for the visually impaired that uses current camera technology to help interact with the external environment. 3D cameras capture environmental data and using software key features such as obstacles which are extracted and relayed back to the user via haptic feedback.
For more information on our project, visit our website.
Yuanpei Gao
Yu Liu
Run Ting Wan
Emily Zeng
Autoread
7
Audiobooks have gained increasing popularity in recent years, however the process of creating audiobooks can be prohibitively expensive for many smaller or older publications. There are many books which will never get an audiobook release, while many people already own physical copies of books which they would want to enjoy as audiobooks. Autoread seeks to reliably convert physical books into high-quality automated audiobooks and fulfilling the growing consumer demand for audio-based media.
For more information on our project, visit our website.
Michael Boyd
Annie Cui
Roni Kreinin
Marc Ting
Andrew's Windows
8
There is an increasing need to evolve our lifestyles to be more sustainable and energy efficient. Andrew’s Windows is a smart home integrated window that reduces air conditioning usage by automatically opening and closing windows to control temperatures in homes. Andrew’s Windows automatically open for natural ventilation as the default form of temperature control, but as temperatures continue to increase, windows will automatically close and the AC system will be activated instead.
For more information on our project, visit our website.
Jaskaran Basson
David Beckett
Sumeet Kler
Jacob Wehrle
OculAid
9
Visually impaired individuals use the White Cane or guide dogs to scan their surroundings and detect obstacles. However, these solutions are effective for objects below the waist level. The OculAid is an easy to use system for blind people to detect, and therefore avoid obstacles from the waist to head level. The device is in a glasses form factor containing a variety of sensors and uses vibratory feedback to signal obstacles to the user.
For more information on our project, visit our website.
Nayef Ahmed
Tracy Chen
Vanessa Ho
Jason Kim
Ravi Seth
WRAP (Whiteboard Recognition and Analysis Platform)
10
Amidst COVID-19, educators spend a significant amount of time learning new technologies to adapt to an online teaching environment. WRAP is a classroom solution to seamlessly generate digitized notes from whiteboard recordings, allowing educators to maximize teaching time while minimizing setup time. Using a custom smartphone holder, instructors can record whiteboard lectures on their smartphone with the WRAP mobile app while our solution automatically converts the lecture content into online DOC files. Finally, the generated lecture notes can be modified via the WRAP web portal.
For more information on our project, visit our website.
Charles Holtforster
Diontae Jaegli
Sanjeevani Lakshmivarahan
Sai Shruthi Srinivasan
Oliver Witham
Formagine
11
Rapid prototyping technology has greatly advanced over the last two decades. Despite these developments, each cycle of the iterative design process still takes too long. Formagine is tackling this problem with a dynamic mold vacuum forming system. Using 4000+ individually controlled pins, the high-resolution bed can adapt to a given shape. Now prototypes can be created in an hour or less with no wasted time or material!
For more information on our project, visit our website.
Sunghoon Ahn
Harim Cho
Edward Hou
Shraddha Shah
SmartBox
12
We hope to minimize the growing environmental impact of eCommerce by eliminating the need for single-use packaging. Building upon the concept of a circular economy, boxes would instead be reused for multiple deliveries. In-built tracking, an ePaper display, GPS, and a locking mechanism are some of the core features of the reusable box, helping to make it a more secure and responsible way of shipping products between distribution centers and the city.
For more information on our project, visit our website.
Eric Chee
Justin Chen
Jonathan Chung
Tian Zhao
Retrotrack
13
Retrotrack is a modular blind-spot detection safety system aimed towards legacy vehicles. It uses real-time machine learning object detection to enhance the safety levels of legacy vehicles closer to that of modern day cars. Using HD cameras, NVIDIA's AI computer, the Jetson Nano, modern machine learning techniques, and an HD screen, our system is capable of accurately detecting - and notifying the driver of - potential hazards in the blind spot, reducing their potential crash involvement rate by 14%.
For more information on our project, visit our website.