Imagine a bustling market or downtown with hundreds of people visiting or moving around every hour, a bag is left abandoned in the corner of a block. In a traditional surveillance scenario where human operators monitor multiple screens at the same time, the bag, a potential threat to people around, might go unnoticed or merge with the background. <\/p>\n\n\n\n
Now, let\u2019s bring AI-powered video analytics into the picture. Intelligent surveillance systems backed by artificial intelligence can level up the surveillance game by analyzing the live video feed and raising an alarm in real-time. An AI-powered video analytics system for the public sector can improve public safety by marking objects as unattended or suspicious if they exceed a safe threshold. The best part is that \u201call this happens with least manual surveillance or human intervention.\u201d<\/p>\n\n\n\n
However, improving public safety is not the only purpose an AI video analytics solution can be used for. Let\u2019s dig deeper to explore further use cases, benefits, the implementation process, core technologies that are the backbone of such systems, and more. <\/p>\n\n\n\n