Detect objects and track body movements in real-time
Photo and video detector with csv annotation saving
Control object motion in videos using 2D trajectories
Product Prototype 1
Detect objects in a video
Detect objects in real-time video stream
Identify objects in images and videos
Detect objects in images or videos
Identify objects in images and videos
Detect objects in images or videos
yolo
Analyze video for object detection and counting
Detect objects in real-time from webcam video
😊RTMP🤸♂️MediaPipe🕺 is a powerful tool designed for real-time object tracking and body movement detection in video streams. It leverages the capabilities of RTMP (Real-Time Messaging Protocol) for streaming and MediaPipe, Google's open-source framework for machine learning-based media processing. This tool is optimized for high-performance video analysis and offers a seamless experience for users seeking to detect and track objects or movements in live or recorded video feeds.
• Real-Time Tracking: Process video streams in real-time with minimal latency.
• Multi-Object Detection: Detect and track multiple objects or body movements simultaneously.
• MediaPipe Integration: Utilizes Google's MediaPipe framework for accurate and efficient media processing.
• RTMP Streaming Support: Compatible with RTMP for streaming video content.
• Customizable Models: Option to use or train custom models for specific detection tasks.
• User-Friendly Interface: Easy-to-use interface for configuring tracking parameters.
What is RTMP, and why is it used here?
RTMP is a protocol for streaming audio, video, and data over the internet. It is used here for its efficiency in real-time video streaming, enabling low-latency communication between the tool and the video source.
Can this tool be used for live footage?
Yes, 😊RTMP🤸♂️MediaPipe🕺 is specifically designed for real-time processing, making it suitable for live footage analysis.
How accurate is the object tracking?
The accuracy depends on the quality of the input video and the selected detection model. Using high-resolution video and trained models will improve tracking precision.