Skip to content
←Back to the portfolio
  1. Home
  2. / Projects
  3. / Multi-Modal Low-Altitude Drone Detection and Digital Twin

Build notes · Goh Kun Ming

Multi-Modal Low-Altitude Drone Detection and Digital Twin

Research · Public project

Apr 2026 – Aug 2026

Project overview

Event-camera detection research and sensor-interface work; the public record distinguishes offline experiments from live system readiness.

An event-camera detection study alongside event, thermal and RF sensor-interface integration and a separate RGB detector. The reported model results apply to the offline event-camera branch; the other sensors were not learned fusion inputs. Live-camera readiness and an operational fused system are not established.

Inside this build

  • Integrated three sensor interfaces and documented model inputs, outputs and handover limitations.
  • Converted 231 FRED sequences into 630,340 causal event-stack frames with sequence-separated splits.
  • Audited annotations, images, projected boxes and tiles before evaluation.
  • Compared YOLO and RF-DETR training runs and stitched-image configurations.
  • Selected an operating point that traded some detection accuracy for fewer false positives.
  • Documented offline GPU timing, rain-filter limitations and missing live-system validation.

Source code & links

Read on LinkedIn↗
Inspect the project chest →
PrivacyTermsSecurityAccessibility Third-party notices

Independent portfolio. Not an official Minecraft website. Not approved by or associated with Mojang or Microsoft.

Leave this world?

You are opening another website.

Destination
Full link