Transcript by Otter AI.
Chris Mayer-
i want to keep this short, because the best part about this is the kids. my name is Chris Mayer. i work at the Edgerton Center. i've been part of EDW now for quite a while. the program is actually almost older than most of the kids now taking part in it, but you can see we have quite a multicultural room in here because in the last 10 years or so, this our method of education has gone viral and spread to schools in Italy and Spain and Mexico, and many other places.
I want to give a thank you to all the mentors who've been amazing this summer and helping these projects get across the finish line. You'll hear about their stories and a lot as we go through the presentations. And then I want to give big, big thanks to the guy who started it all, who made this program happen in the first place, Ed Moriarty. Here, I think we're on year 17 at this point, which is a little bit scary. I know I've been in this now for longer than I'd like to admit, but it's been a great time every year.
Last but not least, also the guy who without wouldn't be without him, none of us would be here. Big thanks to our Edgerton Center director, Kim Vandiver.
Link to video of presentations
The Chairmen
The team, led by Lorenzo, Batu, and Ernest, designed a chair for conference rooms that returns to its place automatically using a camera and Arduino. They faced challenges with stability, switching from caster wheels to more uniform ones and adding fletches to the base. The final prototype used 12V DC motors geared down to 60 RPM. The chair's range is limited by the camera's field of vision, but adding more cameras could improve precision. The team also considered using LIDAR sensors for better obstacle detection.
Mystical Floating Galaxy
The team presented their "mystical floating galaxy" project, blending engineering and art with elements like music, lights, holograms, and dedication. Initially, they aimed to create an interactive, visually captivating museum-like exhibit, incorporating cultural ideas from team members from different countries. They faced challenges with levitation and holograms, learning about comparative circuits, balancing, and sensor management. Despite setbacks, they successfully integrated a magnetic levitation system, a Lazy Susan for movement, and an Arduino-controlled audio system that makes neopixels change color and brightness with the music. They enhanced the project with an MIT-inspired dome, Bantam black paint, and a monitor cover to highlight the holograms, achieving a cohesive and finished look.
Brightwheels
https://otter.ai/u/7kvmpK1wvYuvZckb-AXV6eRo9j8?view=summary
The team, led by Francesco, Rowan, and Edward, discussed their POV (Persistence of Vision) display project. They explained the concept of eye light retention, creating optical effects with light. Initially, they aimed to use hydrogen but switched to safer materials. The original prototype, made of cardboard, evolved into a bike wheel project. They faced challenges with sensor accuracy, speed sensitivity, and weight distribution. The final product features an Arduino, LED strips, and a Hall effect magnet sensor. Future plans include improving electronics organization, expanding applications, and potentially applying the technology to helicopter blades.
Tony Stark Glasses
https://otter.ai/u/4ycXsCuhps1pR-q9UEmVvPz3OMo?view=summary
Mohamed and Tommy, with Mohamed from India and Tommy as their mentor, presented their project on "Edyth Smart Glasses," inspired by Tony Stark's glasses from the Marvel movies and Meta's AI-glasses collaboration with Ray-Ban. The minimum viable product is a voice-in-traffic smartphone with a microphone and display. They created a prototype using cardboard and lenses, then developed a 3D model with actual glasses, temples, and electronics. The glasses feature a microphone, SD card, ESP32, and AI integration using DeepGram and OpenAI for text-to-speech and smart responses. They faced challenges with Bluetooth and the design of the temples. The project also included coding and electronics work.
The Balloonautics
https://otter.ai/u/PR91pH2sYt0I8UAEO1tuhQoruEc?view=summary
The team led by Emiliano initially aimed to build a hydrogen-powered car but shifted to a hydrogen-powered boat and later to a project inspired by the house in the movie Up. They faced challenges with materials, finding note card paper the best for its lightweight and strength. Initially using multiple latex balloons, they switched to Mylar for durability and better helium retention. They also struggled with attaching the balloons, eventually using straws for better control. The house is powered by two radio-controlled motors using 3.7V LiPo batteries.
Knights of the Table
https://otter.ai/u/cubtgF8F6jAGEpGXQolhWP_jI7E?view=summary
The team presented a table that projects various board games, evolving from an initial idea of a table with markers to a screen-based system. They opted for Python and Pygame over using a Raspberry Pi for programming. The table, made from two-by-fours and plywood, features adjustable legs and drawers. They faced challenges with a rotating screen and monitor compatibility, ultimately using a used monitor with a custom-made charger. The final product includes games like Catania, chess, tic-tac-toe, and Flappy Bird, with plans to upload the code for replication. They also discussed future enhancements, such as color-changing legs and improved code organization.
The Lazy Team
https://otter.ai/u/pDyRee0WgrwKy564QDoi2RpOmc0?view=summary
Presentación estilo portafolio minimalista moderno para fotografía by Mariana Mora
The "Lazy Team" presented their "folding clothes machine," designed to fold clothes using servos and a camera to recognize items like T-shirts and pants. The machine initially used an Arduino but switched to a Micro:bit for easier coding, features two modes for folding bands and shirts. The team expressed gratitude to mentors and the Edgerton Center for their support. They faced challenges with code persistence but eventually improved the servo performance. The machine, which includes a base for stability, is controlled by three buttons and a AI camera that recognizes the garment and sends signals to correctly fold the identified garment.
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