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AI-Powered Sports Cameras

The Polycam Player Keeps the Action in Frame Using Sophisticated AI

— April 3, 2018 — Tech
The Polycam Player, by Mark Roberts Motion Control (MRMC), is a new robotic camera system that is aimed at giving sports fans, coaches and trainers an entirely new view of the game. The system functions off a motorized camera support and utilizes facial recognition and artificial intelligence to automatically follow an athlete, and manages to keep the action in-frame without the need for another human operator. This is the true marvel of the Polycam Player, as it manages to imitate the movement of a human operator and is even smart enough to zoom and focus on the fly, as well as track a specific plat or multiple players.

In addition to the Polycam Player, MRMC has also announced an automated system for keeping multiple people in a single frame. This system is being dubbed Polycam Chat and it utilizes facial recognition and limb recognition to keep four people in-frame at once. MRMC's systems will be on display at National Association of Broadcasters (NAB) show in April 2018 and the company is also hoping to show off its Color Control Panel.
Trend Themes
1. AI-powered Sports Cameras - Disruptive innovation opportunity: Develop AI-powered robotic cameras that automatically track athletes and keep the action in-frame without the need for a human operator.
2. Facial and Limb Recognition - Disruptive innovation opportunity: Utilize facial and limb recognition technology to automatically keep multiple people in-frame, opening up possibilities for group shots and interviews without the need for manual adjustment.
3. Automated Camera Systems - Disruptive innovation opportunity: Create automated camera systems that imitate human operator movements, including zooming, focusing, and tracking specific players, in order to provide unique perspectives for sports fans, coaches, and trainers.
Industry Implications
1. Sports Broadcasting - Disruptive innovation opportunity: Integrate AI-powered cameras and automated camera systems into sports broadcasting to enhance viewer experiences and provide new perspectives on the game.
2. Event Photography and Videography - Disruptive innovation opportunity: Apply facial and limb recognition technology to event photography and videography to ensure all key participants are captured in-frame, eliminating the need for constant manual adjustment.
3. Surveillance and Security - Disruptive innovation opportunity: Adapt AI-powered robotic cameras and automated camera systems for surveillance and security purposes, enhancing monitoring capabilities and reducing the need for human intervention.
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