Submitted for the day trader track and overall track
Impact Aware is inspired by the events currently transpiring in Ukraine. It is hoped that this project is the first step in developing and implementing a system which can autonomously detect and report on bomb explosions while simultaneously [at a system level] being redundant enough to survive such explosions. The end goal of such a system being to save lives.
What it does
Impact Aware provides citizens and emergency services a system to easily detect and address bomb explosions in a given area in which its nodes are installed.
How we built it
Our stack was built from frontend to embedded simultaneously, meeting in the middle on the backend parser.
The embedded Arduino device utilizes ESP32 chips running the painlessMesh framework to orchestrate the network and implement functions that are called on events such as disconnects, connects, and broadcasts. Also of note is that the Arduino devices utilize the Scheduler framework to run code concurrently as well as implemented a hardware interrupt for the vibration sensor -- such that vibrations cannot be missed.
The backend parser is written in Python and reads the serial output of one USB connected node. After parsing this serial output the respective node's information is stored and written to a JSON object which is hosted as file for the frontend to utilize as its API.
Challenges we ran into
One challenge we ran into was propagating messages along the mesh network. For example, disconnect messages should be dispersed throughout the mesh from one hop to another even without a direct connection. In this way every neighbor of a disconnected node will broadcast its disconnect, and every neighbor of it will broadcast it as well -- passing it throughout the chain. Noisy but redundant.
Accomplishments that we're proud of
We are proud of the self-contained nature of the installation mediums, their small plastic housing represents a small footprint that is easy to install and replace. Additionally, they are capable of running for a very long time (60~ days)(6000 mAh, 4.10 mA device consumption).
What we learned
What's next for Impact Aware
Taking this project to the next level would mean integrating it directly with emergency services and platforms like Noonlight. Additionally, the dashboard could be fleshed out to display a map of installed nodes.
Lee Townsend Adcock, firstname.lastname@example.org
Dhruv Gramopadhye, email@example.com
Zack Wagner, firstname.lastname@example.org
Dheer Tammina, email@example.com
Jaymin Jhaveri, firstname.lastname@example.org
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