Inspiration

We suspected that a reason some people might not partake in certain outdoors activities is because they are afraid of getting injured. Especially in the cases of bikers and mountain climbers, who often partake in their activities alone, it can be hard to get and find help should they need it. Consequently, we wanted to create a product that can help the user receive the help they need.

What it does

The Collision Cap detects whether or not the user has suffered a traumatic head injury. If some impact has been deemed severe by our software, buzzers on the Cap will go off to alert others around them. Additionally, the Cap, through Bluetooth, opens our app and saves information like time of the impact, which can then be used by medical professionals. Our cap also monitors your pulse and alerts you if your pulse is too low or too high. Should the user fall unconscious, the app will detect this and send an SOS signal.

How we built it

We started with testing the force sensitive resistors. We spent time figuring out how we can extract data and how to connect them to Arduino. We then added the HC06 Bluetooth module. We successfully connected our phones to it and were able to communicate back and forth. Afterward, we added more features like pulse sensing and buzzing on impact. Then, we planned out how the electronics would be placed on the headgear. To make more permanent connections and reduce the size of what is carried, we used a PERF board. We then assembled the final version. We used React Native on VScode to create the app.

Challenges we ran into

  • Our app receiving data from the Arduino through Bluetooth
  • where the electronics would be stored
  • iOS compatibility
  • driver incompatibility with Arduino ## Accomplishments that we're proud of
  • completion of the product, at least hardware wise
  • finishing a great deal of the software ## What we learned
  • react native app development
  • how force sensors work ## What's next for The Collision Cap
  • Bluetooth connection
  • sending an SOS signal if it detects vital signs that imply unconsciousness
  • better sensors(bigger detection range)
  • more accurate method detecting how bad an impact is (more than 2 sources of sensor data)

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