In this insightful interview with Ticker News, Cloudastructure founder Rick Bentley joins host Aaron Young to explore how machine learning and artificial intelligence are transforming the future of video surveillance—making it smarter, faster, and more proactive than ever before.
Rick explains how advances in computer vision, powered by tools like TensorFlow, have revolutionized the way machines "see" and interpret video footage. Instead of manually programming systems to recognize objects like cars or people—a nearly impossible task—AI can now be trained with thousands of images to detect complex patterns and behaviors with far greater accuracy.
The conversation dives into how Cloudastructure’s AI-powered surveillance system solves a key challenge in multifamily housing: the overwhelming number of cameras that often render human monitoring ineffective. “The more cameras you add, the less you can see,” Bentley notes. But AI doesn’t sleep. It watches every feed 24/7, flagging unusual activity for human review only when needed—like a person loitering near windows, unauthorized activity in a garage, or someone checking multiple cars after midnight.
Rick also highlights how AI is evolving video surveillance from a reactive tool—used to investigate crimes after the fact—to a proactive solution that deters incidents in real time. For example, Cloudastructure’s system can detect behaviors consistent with car break-ins, package theft, trespassing, or lease violations, and then escalate to a remote guard who issues a live voice warning—prompting intruders to flee the scene almost immediately.
With AI handling 99.99% of the workload and humans stepping in only when necessary, Cloudastructure offers a cost-effective, scalable, and powerful force multiplier for property managers.
Bentley’s interview sheds light on a critical shift in the security industry, where smart surveillance powered by machine learning is not just a futuristic idea—it’s protecting communities today.
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