Identify and track faces in videos
Track moving objects in videos or webcam feed
Analyze video for object detection and counting
Detect objects in a video stream
Analyze video to recognize actions or objects
Identify objects in images and videos
Generate annotated video with object detection
Track objects in a video
Detect objects in images or videos
Process videos to detect and track objects
Watch and analyze videos with object detection
Video captioning/open-vocabulary/zero-shot
Process video to detect and highlight objects
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.