Realistic Expectations for AI Security Systems

Realistic Expectations for AI

Artificial Intelligence is a fascinating and valuable technology that can improve lives and bottom lines. However, AI has limitations that are important to understand when deciding how to use AI in your security strategy. Join Maureen Pajerski, Chief Customer Officer at IntelliSee, as she gives a realistic assessment of both the benefits and limitations of AI.

Key Takeaways From This Presentation

Maureen covers what separates realistic AI deployments from overpromised ones. The most effective AI security systems are built on an honest understanding of both their capabilities and their constraints. Here is a summary of the core themes from her presentation.

What AI Does Well in Physical Security

AI-powered computer vision excels at tasks that are unsustainable for humans at scale: continuous monitoring across dozens of camera feeds, 24 hours a day, seven days a week, without fatigue, distraction, or shift gaps. Where a human operator may lose focus after hours of uneventful footage, an AI system processes every frame with equal precision.

IntelliSee's platform detects specific threat categories -- drawn firearms, fallen individuals, perimeter breaches, unauthorized access, crowd formations, and more -- by analyzing visual patterns across multiple consecutive frames. Multi-frame validation significantly reduces false positives compared to single-frame detection, which is one of the most common complaints about AI security systems deployed without it.

Where Human Judgment Remains Essential

AI is a detection layer, not a decision-making layer. Identifying that a weapon is visible in a camera frame is the first step. Assessing context, verifying intent, and coordinating the appropriate response still requires trained human personnel acting on clear protocols.

Environmental factors also affect performance: lighting conditions, camera angle, image resolution, and field of view all influence accuracy. Setting realistic expectations means understanding these variables upfront -- positioning cameras correctly, maintaining adequate illumination, and building escalation workflows that pair AI alerts with human verification.

Setting Your Organization Up for Success

Organizations that get the most from AI-powered security treat it as a force multiplier alongside their existing infrastructure -- not a replacement for it. IntelliSee is designed to work with your current cameras, your VMS, and your integrations with platforms like RapidSOS, AtlasIED, and video management systems. Realistic expectations are the foundation of a deployment that actually delivers results.