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Transforming the Industry AI enabled cameras are poised to make a significant impact in security
Artificial Intelligence (AI) continues to gain mo- mentum every day, and it is already poised to augment and enrich many aspects of our busi- ness and personal lives. For the security industry, and for video surveillance in particular, it’s clear that AI-based technology is about to make a substantial impact. Let’s examine some basic questions: How does it really work? What can it do for business? Is it going to be painful to migrate from non-AI cameras to AI-enabled ones?
According to a recent IHS Market Video Surveillance In- stalled Base Report, close to 85 million cameras will be installed in North America alone by 2021. But we cannot expect a pro- portional increase in security personnel to monitor and manually search through this vast amount of video. AI presents a perfect solution to compensate for unmanned environments or those
with limited staffing, or the loss of vigilance after looking at a screen too long. AI can help us not only watch continuously, but also feed systems that are able to sort, organize and categorize massive amounts of data in a way that human operators cannot. And it can do so far more reliably than traditional video analyt- ics ever did.
Dispelling Myths and Misconceptions
Correctly teaching an AI algorithm and ensuring its accuracy is done in a sophisticated process, even for server-based AI models and solutions. It is even more challenging to optimize deep learn- ing models on the camera edge. Unlike a server implementation with far greater compute power, storage and database resources, or a cloud-based system with significant scalability, AI deployed in edge devices such as cameras have limited computational pow-
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