How AI at the Edge Is Transforming Video Surveillance   Artificial intelligence has been part of video surveillance for years. What’s changed is where that intelligence lives. As edge hardware becomes more capable, AI processing is moving closer to where video originates—a shift that’s reshaping system performance, resilience, and the overall user experience. Shifting AI to the edge reduces reliance on centralized infrastructure. Instead of streaming all video to a server or cloud for analysis, cameras can detect events, generate metadata, and surface insights in real time. This lowers latency, reduces bandwidth consumption, and keeps systems operational even when [...]