A UI for drone detection for YOLO-powered detection system.
Control object motion in videos using 2D trajectories
Photo and video detector with csv annotation saving
Detect objects and track body movements in real-time
SOTA real-time object detection model
Analyze images and videos to identify objects
Detect objects in real-time from webcam video
Detect objects in images or videos
Detect objects in images or videos
Track and count vehicles in real-time
Detect objects in a video stream
ObjectCounter
Detect moving objects in videos
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.