Identify and track faces in videos
Generate a video with stick figures tracking human poses
Control object motion in videos using 2D trajectories
Track points in a video by clicking or using grid
Track objects in a video
Detect objects and track body movements in real-time
Identify objects in images and videos
Detect objects in a video
Detect moving objects in videos
Analyze video to recognize actions or objects
Detect objects in real-time video streams
Product Prototype 1
Identify objects in images and videos
Facerec is a cutting-edge AI-powered tool designed to identify and track faces in videos. It leverages advanced computer vision technology to detect and recognize facial features, enabling precise tracking of individuals or objects within video content. Whether for security, analytics, or creative projects, Facerec provides accurate and efficient face recognition capabilities.
• Face Detection: Identify faces within video frames with high precision.
• Real-Time Tracking: Track faces across multiple frames to monitor movement and activity.
• Facial Coordinates: Generate coordinates for detected faces, enabling precise tracking.
• Object Tracking Integration: Combine face recognition with object tracking for enhanced video analysis.
• Multi-Face Support: Detect and track multiple faces simultaneously in a single video.
• Compatibility: Works with various video formats and streaming sources.
• User-Friendly API: Easy integration into custom applications for developers.
What video formats does Facerec support?
Facerec supports most common video formats, including MP4, AVI, MOV, and MPEG, as well as live video streams.
Can Facerec track faces in real-time?
Yes, Facerec is optimized for real-time face tracking, making it suitable for live video analysis and monitoring applications.
How many faces can Facerec track simultaneously?
Facerec can track multiple faces at the same time, depending on the resolution and clarity of the video input.