Page 28 - Security Today, March 2022

Beyond Buzz
AI advancements and abundant video present real opportunity
By Quang Trinh
Artificial Intelligence (AI), Machine Learning, Deep Learning, and Computer Vision are the latest buzz- words spreading through- out the security industry. As with many buzzwords and trends of the past—like the cloud and cybersecurity—they can be intimidating to grasp through all the hype, misinformation and sometimes even nega- tive depictions.
When it comes to the latest wave of popularity around AI and all its various incarnations, how will the security industry respond? The answer lies with how this toolset will be adopted by vendors, system integrators and end customers.
First, it’s important to realize that AI and its subsets are tools and not solutions to security challenges in and of themselves.
However, these tools have become ever more powerful as AI has evolved over the last decade.
The evolution of Machine Learning and Deep Learning has been fueled by data, and not just structured data from a database, but unstructured data from images and video as the main datasets (i.e. Computer Vision). Consequently, these tools have become very useful to the security industry given the prevalent use of cameras and video.
THE MOVE FROM MACHINE LEARNING TO DEEP LEARNING AND COMPUTER VISION
With the advent of the internet, the world shifted to become a more connected, digital-rich place. The security industry recognized the opportunity that this
presented and it took its first step into that digital world several decades ago by transitioning from analog to IP video. This transition has now opened the gates to a vast amount of a new data including images and videos.
Early on, the internet and the structured data that it provides, lent themselves to advances in Machine Learning which is designed to identify and recognized patterns. This is precisely why Machine Learning has been used in algorithms for e-commerce for several years.
When it comes to the unstructured data provided by IP cameras, recent advancements in Deep Learning techniques (algorithms based on simulated neural networks intended to mimic the functioning of the brain) and Computer Vision (algorithms intended to interpret
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MARCH 2022 | SECURITY TODAY
MACHINE LEARNING
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