Genetec’s next generation of its AutoVu SharpV automatic license plate recognition camera. 

Security professionals examine the evolution of analytics in security applications.

For at least the last couple of years, artificial intelligence (AI) has been one of the biggest trends in the security industry. Offering the ability to “learn” over time, AI provides the technology to anticipate and identify potential issues as they are unfolding.

The sheer amount of video and other data generated by security and non-security devices today is massive, and its growth is seemingly exponential — with more and more created every day.

ISC West is a foundational event in the security industry, providing a space to network, share insights and discover the latest advancements.

Vaion vcore is equipped with integrated machine-learning capabilities that analyze all video feeds from all standards-based cameras in real time.

STANLEY Security, a global integrator of comprehensive security solutions, today released its 2020 Industry Trends Report. This report — which includes survey data from decision makers across North America and Europe, monitoring data from more than 400,000 STANLEY Security customers and insights from leaders across the organization — defines the major trends that may impact security consumers in the coming year.

Call it analytics, big data, business intelligence, machine learning, AI, or something else — these terms are not interchangeable, but in today’s security landscape they are often used to mean approximately the same thing: the idea that you can take traditional security technology (video, access control, intrusion, etc.) and expand its use to benefit the business side of whatever customer you are applying it to.

Resideo Technologies Inc. has acquired Pittsburgh-based LifeWhere. The newly acquired company uses machine learning and analytics to predict potential failure on critical home appliances, such as water heaters, furnaces and air conditioners. 

Though many projects have been proven with pilots and real-case deployments, artificial intelligence (AI) in the security industry is in the relatively early stages and its role in video surveillance is as varied as the vertical markets that implement it.