Human and Face Detection
Detects people, faces and body position to understand where participants are in the meeting space.
中文
Bluesource-Tech AI imaging algorithms combine human detection, scene understanding and audio-video linkage to keep every meeting frame compact, natural and focused on the right people.
The imaging engine recognizes people, counts participants, tracks motion and connects with audio direction so the output frame follows the actual conversation.
Detects people, faces and body position to understand where participants are in the meeting space.
Evaluates room boundaries, seating layout and participant changes to keep framing stable and useful.
Uses audio DOA together with image detection to identify the current speaker and switch focus more naturally.
Builds panorama, close-up and gallery views for room systems, meeting cameras and video endpoints.
Four modes cover full-room awareness, dynamic composition, speaker focus and multi-person gallery output.
Keeps the full room visible for fixed layouts, whiteboard sharing, live demonstrations and multi-person discussion.
When one participant leaves, the camera automatically recomposes around the remaining people instead of leaving empty space in frame.
Combines sound direction and human detection to lock the frame on the active speaker.
Splits multiple participants into close-up windows so remote attendees can see everyone more clearly.
Captures high-resolution video from USB cameras, embedded modules or integrated video bars.
Recognizes people, faces, room edges and participant movement.
Applies panorama, best view, voice tracking or smart gallery according to the meeting scenario.
Provides a composed video stream for conferencing platforms and collaboration terminals.
Bluesource-Tech can adapt AI imaging modes to conference cameras, audio-video modules and all-in-one video endpoints.