Find objects in real-time video
Track and label objects in videos
Detect objects in real-time video streams
Detect objects in a video and image using YOLOv5.
Detect objects in images and videos
Powerful foundation model for zero-shot object tracking
Track and count objects in videos
Track points in a video by clicking or using grid
Identify objects in images and videos
Detect objects in live video feeds
Analyze video to recognize actions or objects
Detect objects in uploaded videos or live streams
Generate annotated video with object detection
Instream is an AI-powered tool designed to track objects in real-time video. It leverages advanced AI technology to identify and monitor specific objects within video streams, enabling efficient and accurate object detection.
• Real-Time Object Tracking: Instream can analyze video streams in real-time, making it ideal for applications that require immediate object detection. • AI-Powered Detection: Utilizes cutting-edge AI models to ensure accurate and reliable object identification. • Multi-Object Tracking: Capable of tracking multiple objects simultaneously in a single video stream. • Customizable Tracking Options: Allows users to define specific objects or patterns to track. • Integration Support: Can integrate with various video sources and systems for seamless operation. • High Accuracy: Optimized for precise object detection and tracking, reducing false positives.
What video formats does Instream support?
Instream supports a wide range of video formats, including MP4, AVI, and MOV, as well as live video streams from cameras or other sources.
Can I use Instream for real-time video streams?
Yes, Instream is designed to work with both real-time video streams and pre-recorded video files, making it versatile for various applications.
How accurate is the object tracking in Instream?
The accuracy of Instream depends on the quality of the video and the clarity of the objects being tracked. Under optimal conditions, it provides highly accurate results.