The Origin
Every year, firefighters are injured or killed not by fire itself, but by disorientation — losing their way in zero-visibility environments, stumbling into structural voids, or failing to locate victims before oxygen runs out.
Commercial mapping solutions exist, but they cost tens of thousands of dollars and require specialized training. Resku was conceived as a proof of concept: could commodity hardware — a Raspberry Pi, a standard LiDAR unit, and a handful of I²C sensors — provide meaningful situational awareness at a price point accessible to underfunded fire departments worldwide?
The answer, we believe, is yes.
Mission Statement
"To give every firefighter — regardless of their department's budget — the spatial intelligence they need to find victims faster, navigate safer, and come home."
A compelling proof-of-concept demonstrating that lightweight, budget-friendly hardware can save lives without proprietary lock-in.
An open-source platform to extend, fork, improve, and deploy. Every line of code is available on GitHub under the MIT license.
The Team
Resku is a student project developed at the Loudoun County Public Schools Data Science and Artificial Intelligence (LCPS DSAI) program.
Contribute
Resku is open source and welcomes contributions. Whether you're a robotics engineer, a Python developer, or a firefighter with feedback — there's a role for you.