A Comparative Analysis of Traditional Video Analytics and Computer Vision Intelligence

Video surveillance has been a critical tool in security for decades. Eventual use cases for early behavioral detections and regional alerts coalesced into what has generally been called "Traditional Video Analytics", which have inherent limitations. The adoption of AI and ML technologies in video surveillance offers an opportunity to overcome these challenges through advanced computer vision intelligence. This paper presents an in-depth comparison, outlines implementation challenges and provides strategic recommendations for organizations transitioning to AI-powered solutions.