For decades, CCTV systems were little more than silent witnesses, recording footage for storage, not for action. Security teams relied on human operators to scan countless hours of video, hoping to spot anomalies after an incident had already unfolded. This model was fundamentally reactive, costly, and prone to human error.
That reality has now changed. With advances in artificial intelligence, computer vision, and edge computing, surveillance systems are transforming from static observers into dynamic, real-time intelligence networks.