status

Experiment

year

2026

category

Applied AI

Overview

Drone Detect is an AI-based detection project focused on identifying drones from image input using a trained YOLOv8 model. The project is built around a practical detection flow: loading the model once, accepting an uploaded image, running inference, and returning detection results such as bounding boxes, confidence values, class information, and optional annotated output. It also includes local utilities for testing images, camera input, or video files, which makes the model easier to experiment with beyond a single request flow. Although the source code includes a FastAPI backend for integration and deployment, the main idea of the project is drone detection itself: turning a trained model into a usable detection workflow that can recognize drone presence from visual data.