Only a few years ago, the promise of video analytics seemed like more sizzle than steak. Interpretation based on pixel motion and algorithms created false alarms, and the unreliability turned off customers. But over the past two years, advances in artificial intelligence (AI), machine learning, deep learning, and edge-based IP cameras have made it more accurate than ever before.
Besides traditional security applications, businesses are turning to video data for intelligence purposes, using predictive analytics, patterns and behaviors, which makes video surveillance and video-verified intrusion detection systems more intelligent and capable of more advanced decisions.