A UI for drone detection for YOLO-powered detection system.
Detect objects in images or videos
SOTA real-time object detection model
Detect objects in images and videos
Identify objects in images and videos
Identify objects in live video
Detect and track objects in images or videos
ObjectCounter
Process video to detect and highlight objects
Process videos to detect and track objects
Detect objects in images, videos, and live webcam streams
YOLOv11n & DeepSeek 1.5B LLMβRunning Locally
yolo
The Drone Detection Yolo UI is a user-friendly interface designed to work with YOLO (You Only Look Once)-powered detection systems. It is specifically tailored for detecting drones in real-time videos or images. This tool provides an intuitive way to track and identify drones, making it a valuable solution for surveillance, security, and monitoring applications. The UI is built to simplify the process of object detection, leveraging the speed and accuracy of YOLO algorithms to deliver reliable results.
What are the system requirements for running the Drone Detection Yolo UI?
The application requires a modern processor, at least 4GB of RAM, and a compatible operating system (Windows, macOS, or Linux). For optimal performance, a dedicated GPU is recommended.
Can the Drone Detection Yolo UI work on mobile devices?
Yes, the UI is designed to be cross-platform and can run on mobile devices, though performance may vary depending on the device's hardware capabilities.
How accurate is the drone detection system?
The accuracy depends on the quality of the input video or image, as well as the specific YOLO model used. Under ideal conditions, the system achieves high accuracy, but real-world results may vary based on lighting, resolution, and environmental factors.