AV Software : AV Software : Ross Video - Vision[Ai]ry Facial Tracking system

Vision[Ai]ry Ft Facial Tracking and Recognition System

Model: Vision[Ai]ry Facial Tracking system

Robust Detection Algorithm - Vision[Ai]ry Ft’s algorithm ensures that faces will be accurately identified and located as long as at least 50% of the face is visible in the image. The algorithm is trained against a?diverse set of race, gender and age data
Simple, Powerful User Interface - The clean, simple UI provides a live display of the video from the camera with detected faces and framing target clearly indicated, all surrounded by easy-to-understand status info, tracking controls and framing template
Adjustable Damping And Deadband - The adjustable damping and deadband settings allow the user to tailor the behaviour and performance of the system to suit the movements of the talent. This ensures that the system maintains optimal framing and tracking
Automatic Zoom Compensation - Vision[Ai]ry Ft automatically calibrates the camera lens and adjusts tracking gain to avoid over-reacting at higher zooms, where small pan or tilt changes result in much larger changes in framing.
Unlimited Framing Templates - Framing templates allow all framing parameters, including the framing target location and size, deadband and damping, to be stored and recalled. This enables the operator to create an unlimited number of shot compositions tha

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Vision[Ai]ry Facial Tracking (Ft) is the first in a suite of products that use video analytics to automate the functions of a camera operator. Vision[Ai]ry FT uses AI-based facial recognition to detect, locate and track the position of faces within the video stream directly from the camera.

It then uses these facial positions to drive the pan, tilt and zoom axes of the robotic camera system to maintain the desired framing of the face or faces in the image. This eliminates the need for a camera operator to manually adjust for the position of the subject in the image.

Robust Detection Algorithm - Vision[Ai]ry Ft’s algorithm ensures that faces will be accurately identified and located as long as at least 50% of the face is visible in the image. The algorithm is trained against a?diverse set of race, gender and age data
Simple, Powerful User Interface - The clean, simple UI provides a live display of the video from the camera with detected faces and framing target clearly indicated, all surrounded by easy-to-understand status info, tracking controls and framing template
Adjustable Damping And Deadband - The adjustable damping and deadband settings allow the user to tailor the behaviour and performance of the system to suit the movements of the talent. This ensures that the system maintains optimal framing and tracking
Automatic Zoom Compensation - Vision[Ai]ry Ft automatically calibrates the camera lens and adjusts tracking gain to avoid over-reacting at higher zooms, where small pan or tilt changes result in much larger changes in framing.
Unlimited Framing Templates - Framing templates allow all framing parameters, including the framing target location and size, deadband and damping, to be stored and recalled. This enables the operator to create an unlimited number of shot compositions tha
Recall Framing Templates With Robotic Presets - By linking a framing template to a robotic preset, the desired framing parameters are automatically recalled and applied to the camera.

Number of robots controlled: No fixed limit
Minimum PC Requirements: i7-2.9 GHz, 8 cores, 8 GB RAM, Intel integrated graphics, Solid State drive
Video sources: Local, eg: SDI capture card NDI
Number of faces that can be tracked simultaneously: Up to 30
Minimum size of face in video: Min 9% of frame
Minimum visibility requirement: 50% of face
Video Formats: 1080p/59.94 or 50; 1080i/59.94 or 50; 720p/59.94 or 50; 720i/59.94 or 50
Tracking latency: Less-than 0.2s
Face Detection time: Less-than 0.5s

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