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Emerging Victorious: Advanced Image Robotics Clinches 2025 PILOT Innovation Challenge
Advanced Image Robotics Emerges as Winner in 2025 PILOT Innovation Challenge
As stated in this article, Advanced Image Robotics (AIR) has been selected as a winner of the 2025 PILOT Innovation Challenge, showcasing their revolutionary AutoPilot AI camera tracking system.
Imagine capturing a professional basketball game with unprecedented precision – all managed by a single operator located 500 miles from the action. That’s exactly what AIR AutoPilot achieved during a Sacramento Kings game, tracking coach Doug Christie and center Jonas Valanciunas in crystal-clear 4K. The system’s remarkable performance spanned three distinct locations: cameras onsite, an operator in San Diego, and the AI server in Michigan.
Watch the AIR AutoPilot in action below:
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Beyond Traditional Camera Tracking
AutoPilot represents a quantum leap in video production technology. Unlike standard computer vision solutions, this intelligent system is built on AIR’s proprietary Visual Language Model (VLM), fundamentally transforming how we capture and understand video.
- Key technological innovations include:
- Activity and object-agnostic tracking
- Real-time training capabilities
- Advanced subject differentiation
- Complex scene management
- Seamless cloud-based operation with ultra-low latency
As an add-on to the award-winning AIR One camera robot, AutoPilot is specifically designed for Remote Integration (REMI) workflows. It serves as a powerful force multiplier, enabling media teams to capture superior video more efficiently and cost-effectively.
To see the AIR AutoPIiot in detail, watch below:
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Showcasing Innovation
AIR will demonstrate this groundbreaking technology at the 2025 NAB Show in Las Vegas. Attendees can explore AutoPilot in the Propel*ME pavilion and attend their Startup Stage presentation on Sunday, April 6 at 10:30 a.m.
In the realm of video production, AutoPilot isn’t just pushing boundaries – it’s completely redrawing them.
To learn more about Advanced Image Robotics click Here
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