Visual Reasoning AI for Broadcast and ProAV Audiolibro Por Paul Richards arte de portada

Visual Reasoning AI for Broadcast and ProAV

Practical AI Automation for Streaming, ProAV, and Live Production

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Visual Reasoning AI for Broadcast and ProAV

De: Paul Richards
Narrado por: Virtual Voice
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Your cameras already see everything. Now they can understand it.

Vision Language Models (VLMs) are the breakthrough that lets you point any camera at any scene and ask questions in plain English: "Is anyone at the podium?" "Track the person in the blue shirt." "How many people are in the room?" No retraining, no custom datasets, no thousand-image pipelines. Just describe what you're looking for, and the AI finds it instantly.

Visual Reasoning AI for Broadcast and ProAV is the first practical guide to applying this technology in the real world of broadcast, live streaming, and professional AV. Whether you're automating PTZ camera tracking in a house of worship, building intelligent scene switching for a corporate event space, or adding AI-powered scoreboard extraction to a sports production, this book takes you from zero to production-ready.

What you'll build:
You won't just read theory. Every chapter is paired with a working tool from the open-source Visual Reasoning Playground — 17 browser-based applications you can run immediately, study, and customize for your own workflows:
- Auto-track any object with a PTZ camera by describing it in words
- Control OBS Studio with hand gestures — no keyboard required
- Extract scores from physical scoreboards using AI vision
- Count people entering or exiting a space in real time
- Draw virtual security zones and trigger alerts on activity
- Match camera color settings to a reference image using AI analysis
- Combine voice commands with visual detection for hands-free production control
- Run speech-to-text automation entirely in-browser with no API costs
What you'll learn:
- How Vision Language Models work and why they matter for ProAV
- The difference between local and cloud-based AI — and when to use each
- A production-tested 5-stage pipeline: Media Inputs, Perception, Reasoning, Decision, and Control
- How to integrate AI with PTZOptics cameras, OBS Studio, vMix, and other production tools
- Guardrails that prevent AI from making costly on-air mistakes
- The "Human Agency First" principle — AI assists, humans decide
- How to build multimodal systems that combine what cameras see with what microphones hear
- A harness architecture that lets you swap AI models as the technology evolves

No programming experience required. This book uses modern AI coding tools that let you build and modify applications using plain English. If you can describe what you want, you can build it.

Who this book is for:
- ProAV integrators who want to differentiate their offerings with intelligent automation
- Broadcast engineers looking to bridge their technical knowledge with AI capabilities
- Live streamers ready to level up with automated camera work and intelligent switching
- Worship tech teams who need volunteer-friendly automation that reduces technical burden
- Corporate AV professionals transforming meeting rooms and event spaces
- Anyone curious about practical, hands-on AI beyond the hype

What's included:
- 21 chapters plus appendices — from first concepts to production deployment
- 17 open-source tools with full source code on GitHub
- Free companion online course with video walkthroughs
- Free Moondream API tier to start building immediately
- Real-world use cases for every tool — both professional and personal applications

About the author:
Paul Richards has spent over two decades at the intersection of broadcast technology and innovation. As Chief Streaming Officer at StreamGeeks and CRO at PTZOptics, he's authored more than 10 books on audiovisual and live streaming technology, including The Unofficial Guide to NDI, The Unofficial Guide to vMix, and The Unofficial Guide to OBS. When the visual reasoning breakthrough arrived, Paul knew it would transform the industry — and that someone needed to make it accessible.

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