OPSLaunch | Joseph-Paul Marhefka

problem

The problem

I needed a path from OPS243 IQ and SZ capture through embedded processing to metrics that an iPhone app can display, with each transport boundary kept explicit.

contribution

What I built

I worked on ESP32 firmware that parses and processes OPS243 data, binary TLV over BLE, and SwiftUI/CoreBluetooth source that maps BLE metrics into a numeric model.

The source includes metric fields for ball speed, club speed, smash factor, impact time, and spin RPM. Carry and trajectory estimation remain active work rather than finished validated outputs.

I built a Blender driving range to explore how a shot could be shown from the tee to a target. The rendered scene is separate from the iPhone app, and live radar work is still in progress.

result

Where it stands

The implementation is active school-year internship work. Current evidence is host-tested firmware and app source plus completed Blender scene renders, while physical flashing, a live radar/BLE session, calibrated accuracy, a shipped mobile release, and finished product integration remain open validation gates.

Evidence

Supporting media

I rendered this 30-second tour from the tee area toward the target greens and coast. It shows the Blender scene, not a live radar run.render

Wide Blender render of a golf range with multiple target greens beside the coast — I placed target greens across the range and rendered this overhead view to show their layout.render

Ground-level Blender render of ball racks arranged at tee stations across a golf practice range — I rendered the tee stations and ball racks where a shot would begin.render