Dual NAB Wins Spotlight AI Auto-Tracking Breakthrough
viztrick AiDi has emerged as a new benchmark for AI auto-tracking live streaming after securing two major honors at the NAB Show. The GoVertical! AiDi feature received the NAB “Product of the Year” award in the Streaming category and Future Publishing’s “TV Tech Best of Show” award. Both recognitions highlight how its on-device AI delivers real-time auto tracking and 9:16 autocropping technology tailored for vertical streaming formats. Judged by engineers and industry peers, the awards underscore the system’s innovation, feature depth, and practical value in live broadcast automation. Rather than being a lab demo, AiDi is already deployed in real-world productions, which helped convince evaluators that the technology is ready for mainstream live workflows. The dual win signals a turning point: AI-driven camera control is moving from experimental add-on to core infrastructure in modern live streaming operations.
Hands-Free Camera Control for Real-Time Live Streaming
At the heart of viztrick AiDi is AI-powered auto-tracking that removes the need for constant manual camera operation. The system delivers output with under one second latency, a performance level NBC Sports engineering leadership has called “truly remarkable” in fast-paced sports environments where every frame matters. By operating at true broadcast speed and running entirely on-device with high-performance GPUs, the platform avoids the multi-second delays typical of cloud-based alternatives. This near-instant response is critical for sports, red-carpet coverage, unscripted shows, and live news, where operators cannot afford lag between subject movement and camera framing. Instead of dedicating staff to joystick control and re-framing, production teams can rely on the system’s real-time subject tracking to keep talent and key action centered. That shift enables leaner crews without sacrificing the immediacy audiences expect from live streaming.
9:16 Autocropping Fuels the Vertical Video Streaming Boom
As vertical video streaming becomes standard on mobile platforms, AiDi’s 9:16 autocropping has emerged as a strategic capability. The GoVertical! AiDi feature automatically generates a perfectly framed 9:16 feed from a traditional horizontal canvas, allowing producers to serve vertical-first audiences without running an extra camera or hiring additional operators. This real-time autocropping technology is designed specifically for simultaneous multi-platform streaming, where the same event may need to appear in different aspect ratios across apps and social channels. Because the AI understands where players, presenters, or objects of interest are on screen, it can dynamically reposition the crop rather than applying a fixed center cut. The result is a vertical stream that feels native and intentional, not a compromise. For broadcasters, that means they can instantly unlock mobile-friendly revenue opportunities while keeping core workflows focused on a single master feed.
From Niche Tool to Backbone of Live Broadcast Automation
Originally developed to solve on-the-ground production challenges, viztrick AiDi has evolved into a comprehensive live broadcast automation platform. Beyond auto tracking and 9:16 autocropping, it supports player tracking, face tagging, object recognition, 2.5D telestration, auto-score graphics, and motion data analytics. Crucially, all of this runs on-device, removing dependency on internet connectivity and ensuring stable performance in outside broadcast and remote production scenarios. That robustness directly addresses the industry’s push toward doing more with smaller crews while maintaining high production value. Award recognition at NAB validates that AI is no longer an experimental add-on but an integrated part of broadcast production workflows. As viewing habits shift toward mobile and vertical formats, tools that combine real-time intelligence with hands-free control are poised to become foundational infrastructure for any operation planning truly platform-agnostic live streaming.