Track objects in uploaded videos
Detect objects in live video feeds
Detect objects in real-time from webcam video
Process videos to detect and track objects
A UI for drone detection for YOLO-powered detection system.
Detect objects in real-time video stream
Photo and video detector with csv annotation saving
Detect objects in a video stream
Detect objects in real-time from your webcam
Powerful foundation model for zero-shot object tracking
Control object motion in videos using 2D trajectories
Detect objects in images and videos
Detect objects in a video and image using YOLOv5.
Real-Time Video Object Detection is a cutting-edge technology within the field of computer vision that enables the detection and tracking of objects within video streams in real time. This technology is designed to process live or uploaded videos and identify specific objects, such as people, vehicles, or animals, as they appear in each frame. It is widely used in applications like surveillance systems, autonomous vehicles, and sports analytics to provide instant insights and actionable data.
1. What types of objects can be detected?
Real-Time Video Object Detection can identify a wide range of objects, including people, vehicles, animals, and custom objects based on the model used.
2. How accurate is the detection?
Accuracy depends on the AI model and video quality. Modern models achieve high accuracy, but factors like lighting and resolution can affect performance.
3. Can it work with low-quality videos?
Yes, but detection accuracy may decrease with lower video quality. For best results, use clear and well-lit video sources.