AI-powered surveillance is often marketed as a plug-and-play solution capable of detecting threats, tracking people, identifying safety violations, and automating security operations. But how much of that actually works once the cameras are installed?
In the premiere episode of Beyond the Demo: The Ground Truth, industry veterans Rob Oldham, Scott McQuarrie, and Dave Baker examine the gap between manufacturer demonstrations and real-world performance. Drawing on more than 75 years of combined experience in security integration, surveillance design, and technology deployment, we discuss why features that look impressive in controlled environments often struggle in the field.
We explore the realities of auto-tracking cameras, AI detection accuracy, PPE analytics, false positives, pixel density requirements, DORI standards, camera placement, bandwidth limitations, video compression, and the growing challenge of turning massive amounts of surveillance data into actionable intelligence. We also examine why many organizations purchase advanced analytics they never fully utilize, the importance of proper system design and ongoing optimization, and how monitoring and response capabilities often determine whether an AI deployment succeeds or fails.
Rather than focusing on marketing claims, this episode provides a practical look at the technical, operational, and human factors that determine whether modern surveillance systems deliver meaningful results.
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