Find objects in real-time video
Model Yolo
Detect objects in images or videos
Track moving objects in videos or webcam feed
Detect objects in live video from your webcam
Control object motion in videos using 2D trajectories
Generate a video with stick figures tracking human poses
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Detect objects in a video using a query image
Photo and video detector with csv annotation saving
Detect objects in uploaded videos or live streams
ObjectCounter
Object_detection_from_Video
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.