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Lumens Integration, Inc. - VC-TR40

AI Auto Tracking Camera

Model: VC-TR40

  • AI-Powered Human Face Recognition
  • 3 Tracking modes and 2 Framing modes
  • 1080P 60fps with 20x Optical Zoom
  • HDMI, Ethernet, 3G-SDI and USB simultaneous output
  • Supports RTSP / RTMP / RTMPS / SRT streaming
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Lumens® VC-TR40 is a dual-lens auto-tracking camera. Its AI-powered human face recognition technology makes it easier than ever to keep track of the subject. The TR40 features a 1080p 60fps image processor and 20x optical zoom lens with auto framing technology that intelligently zooms to capture all guests in view. Lumens VC-TR40 can follow a subject smoothly and reliably, making it ideal for use in presentations, studios, and lecture halls

  • AI-Powered Human Face Recognition
  • 3 Tracking modes and 2 Framing modes
  • 1080P 60fps with 20x Optical Zoom
  • HDMI, Ethernet, 3G-SDI and USB simultaneous output
  • Supports RTSP / RTMP / RTMPS / SRT streaming
  • Everywhere Tracking Mode - The camera will follow wherever the presenter goes. You can simply change the tracked subject by clicking on the individual via the web interface.
  • Partition Tracking Mode - When the presenter moves inside a user-defined Partition Area, the camera switches to a preset angle and zoom. When outside a Partition Area, the camera autonomously follows the presenter.
  • Stage Tracking Mode - When inside the Tracking Area, the camera follows the presenter with only a pan (left-right) movement. When the presenter moves outside the Tracking Area, the camera stops following.
  • Auto-Framing Mode - With Auto-framing function, you can immediately detect the participants in a meeting. It dynamically adjusts its angle frame to include all delegates, re-framing the view if participants join or leave during the session.
  • Easy to Control - The VC-TR40 features advanced gesture control. When the presenter raises their hands, you can switch the tracking target without user input. You can also manually change the tracked subject by clicking on the individual via the web inter
 
 

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