Inspiration
As addictive as video games are (like League of Legends), we can never feel fully immersed within the game. The Wii console was a step towards immersion, but still fell short, as you're just waving your arms about without anything to connect with. VR provides a nearly perfect immersion, but can be overstimulating and abstract for the average user. Taking inspiration from YouTube videos like Mark Rober using cameras to track a dart and Michael Reeves using color masking to locate his fish, we wanted to be able to interact with the virtual world by throwing a ball, bridging the balance between interaction and stimulation.
What it does
Project Reality is a mixed reality system that lets users interact with projected applications by physically throwing or shooting objects at a wall. The system uses stereoscopic vision to track the path of colored balls in 3D space, enabling real-time interaction with virtual elements.
How we built it
- Triangulation of the ball by using Stereostopic view
- Raspberry Pi 5 + Dual cameras
- 3D-printed mounts
- Unity game
- Custom vision detection of colored balls
- Projecting onto a white backdrop
- Custom calibration based on the projector and ball color
Challenges we ran into
- Accurately locating the ball, considering that the projector projects various colors onto the ball
- Issues with the camera being inconsistent since they were cheaper quality
- Tracking multiple different objects at the same time
Accomplishments that we're proud of
- The accuracy achieved with isolating and tracking an object through its color
- The developer adjustment tools were created to help the workflow
- Threading two camera feeds so as not to limit fps
What we learned
- That one mask is not enough to consistently isolate a color
- Time spent used to create developer adjustment tools ended up saving a lot of time
What's next for Project Reality
- Implementing other applications such as:
- Sports training – simulate and analyze throws in baseball or cricket
- Gaming – interactive, motion-based gameplay as shown in our demo
- Occupational therapy – build motor skills and coordination for developmental delays
- Cognitive rehab – train mind-body coordination
Use of Artificial Intelligence
We used it to debug, research methods of communication, generate boilerplate code,




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