Locating missing persons. Law enforcement and security officers are only human, and even a team of trained professionals is limited in its ability to parse through extensive video footage to locate a lost child or abduction victim. AI-powered surveillance coupled with advanced analytics, on the other hand, drives faster pinpointing of relevant data in video and identifies individuals of interest based on recognizable feature classifications (such as the color hat they were wearing or whether or not they carried a handbag).
Real-time response and investigation. Whether it’s in response to a crowd or a crime, artificial intelligence enables in-the-moment monitoring and virtually instant reaction times that can prevent property loss or damage, and even save lives. Additionally, video analytics empower officials to accelerate post-incident investigations and evidence review, saving time and resources while helping bring resolution to incidents faster.
What is immediately clear is the reach and scalability of artificial intelligence-powered video surveillance and analytics when compared to past security solutions. AI is already improving situational awareness and real-time monitoring on campuses across the country. Yet the technology holds enormous untapped potential for also helping colleges and universities recognize and mitigate future risks, informing event planning and infrastructure investments with unbiased, accurate, and quantifiable data.
AI-based video analytics is the future of campus security. As nationwide adoption grows, we will see variations from campus to campus, based on the unique conditions at a given college or university. But, these solutions will continue to evolve over time, and campus officials and community members will learn which specific video analytics solutions best enhance capabilities for their distinct setting, while continuing to strike an acceptable balance between sensitivity and security.
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