Computer Vision / ML

WAVE Drone Detection.

Real‑time drone detection from camera feeds and uploads using a YOLOv11 model.

The Challenge

Detect small, fast-moving drones in varied outdoor scenes with reliable bounding boxes and low-latency overlays for live camera feeds.

Drone detection sample

The Solution

We built a Flask web app that serves a live MJPEG camera stream and processes uploaded images/videos through a YOLOv11 model (`models/best.pt`). The app draws bounding boxes, exposes a `/video_feed` stream, and provides downloadable processed outputs.

Impact

The prototype achieves accurate drone localization on the provided Roboflow dataset and includes training notebooks so the model can be refined for production.

Detection overlay sample
Next Project

PharmaSys

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