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Analog to AI

By Matt Erhman

The security industry has gone through a massive transformation, evolving from clunky analog setups to today’s sleek, AI-powered ecosystems. But it’s not just about upgrading the gear—it’s about how we’re using these advancements to create smarter, more proactive solutions.

Consider this: the global video surveillance market is projected to hit $76.4 billion by 2027, driven largely by AI and cloud technology. Just a decade ago, less than 10% of surveillance systems were IP-based. Now, over 70% of new installations leverage IP cameras, offering crystal-clear video, network flexibility, and integrated analytics.

But AI is where things get really interesting. Solutions that incorporate machine learning can reduce false alarms by up to 90%, turning what used to be “dumb” data into actionable insights. For example, intelligent video analytics can differentiate between a harmless shadow and a real intruder, automatically flagging only what’s relevant.

The challenge isn’t just staying on top of these trends—it’s figuring out how to apply them in ways that deliver value today while being ready for the needs of tomorrow. The future of security will be defined by how well we integrate AI, cloud platforms, and intuitive interfaces into systems that truly make our environments safer and easier to manage.

Yet, even with all this tech, the human element remains crucial. Thoughtful design, strategic implementation, and expert support are what make these systems more than just gadgets—they become real solutions that meet real needs.

As the industry continues to evolve, we can’t afford to stand still. The next generation of security isn’t just about better cameras or smarter alarms—it’s about creating systems that predict, protect, and adapt to an ever-changing world. We’re moving into an era where security doesn’t just watch—it thinks. And in a landscape where threats and needs are constantly shifting, that’s exactly what we need.

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