Team Members
The traditional game consists of two players taking turns throwing darts at a dartboard. Our team, Smoking D.A.R.T.S., aims to bring players together by creating an affordable system that enables two people to play darts with one another without using the same board. Using camera sensors and piezo sensors, our system will be able to detect where a dart is located on the board and automatically update the score for both players through an app.
Nothing beats a traditional game of darts and many users have begun exploring the idea of integrating current technologies to improve their darts experience. Current solutions may incorporate one or more of the following: app integration, virtual multiplayer, and automatic scoring but fail to integrate all three.
Our System aims to provide Automatic scoring, Virtual multiplayer, App connectivity, Local display, and Recommended throws
This is our PDR Presentation. Our main focus at the time of PDR was creating a microphone array to detect a dart hitting a dartboard. In this presentation, we go over the aspects of our project that include our algorithm, our app design, and some of our future assessment goals.
This is our MDR presentation. Here we have an overview of the project after a semester of work. We were advised not to use just microphones so we started experimenting with camera vision. This presentation also concluded with a team decision to stop using microphones and redirected our attention to only using camera vision.
This is our CDR presentation. In our presentation we have a brief overview of the construction of the dartboard stand and the web application. We also made a large portion of this presentation about the camera vision and algorithms used in the calculation of the location of the dart. Another addition to the project was an impact sensor that will aid the cameras in knowing when to take images of the board for processing.
This is the FPR presentation. As seen in the demo video, our system is fully integrated. The cameras are able to detect a dart after the piezo sensor detects and impact. This data is processed and is then sent to the app for the user.