GLIDAR
Hackathon prototype where I linked ESP32 microphone pods to a central dashboard so a squad can spot where a gunshot came from inside a 3D space.
ESP32MicroPythonRF PlanningNode.jsMapping
GLIDAR was my hackathon answer to a simple question: how fast can a squad know where a gunshot came from when the battlefield is loud and messy?
How the prototype works
Each GLm pod is an ESP32 with a microphone, a clock, and a wireless hop. When it hears a spike it stamps the time and pushes that packet toward the HIM dashboard.
- The pods pass messages across a mesh so a dead zone does not silence the network.
- The HIM dashboard logs everything, draws a quick bearing, and saves the CSV so later analysis is easy.
- The 3D layout is already baked into the code, which keeps location hints grounded for the operators.
What is next
Right now I am testing better microphones and a light RF module so the mesh survives when Wi-Fi is jammed, and I am pairing the logs with a simple trilateration helper.