By Sonny Tai
Let’s face it: The security industry is undergoing a significant transformation, driven by advancements in cloud computing and AI technology. These changes — driven primarily by the growing acceptance of AI and the cloud — are making video surveillance more effective and automated than previously attainable.
Last year marked a turning point for the security industry, particularly with the growing acceptance of AI. AI is a game changer in video surveillance, significantly reducing false positives and detecting unauthorized individuals without the privacy concerns associated with facial recognition. Advanced analytics can analyze video frames for potential weapon threats and intruders to identify firearms. When the software detects a visible weapon or intruder, it sends an immediate alert to designated staff members, providing the exact location, type of firearm, and detailed information about the intruder.
The potential for AI in video surveillance is immense. With an estimated 100 billion video surveillance cameras installed across the United States, a vast amount of unstructured data is generated daily. The future of security hinges on the power of AI to manage and analyze this data. Data derived from video can help security personnel quickly identify the most critical information for their business. And this is just the beginning of what AI can achieve.
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