The Future of Security: AI's Influence on Video Surveillance

Applied Tech Review | Tuesday, October 05, 2021

As people discover new insights into how AI improves and redefines security, their understanding has steadily grown.

FREMONT  CA: The security sector is on the verge of a paradigm shift. People have depended on a proven playbook for decades to guide resource allocation, solution design, and technology adoption. However, artificial intelligence (AI) and machine learning (ML) are rapidly altering the security scene, which means it's past time to rewrite our legacy playbook.

In the case of intelligent video surveillance, in particular, AI-powered solutions are beginning to unleash new functionality and even alter the role of video monitoring in businesses. People are witnessing an unprecedented convergence of hardware and software, from improved sensors to higher resolution cameras more efficient processing units. As a result, new opportunities for everything from sophisticated threat detection to individualized client experiences are emerging.

While people are only at the start of this journey, it is apparent that best practices are evolving. Security professionals reinvent how they will develop their teams, structure engagements, and define their value seemingly in real-time. While people are still developing the playbook as they go, here are two of the many new, unstated "rules" for the new world of security—and how they will change further as a result of AI.

Accept adaptable configurations: Before recent technological breakthroughs, most security systems relied solely on motion sensors that triggered warnings when a proportion of pixels on a screen moved. This required security teams to spend considerable effort fine-tuning the camera arrangement to reduce false positives. People might prevent falling leaves or passing headlights that trigger warnings in a highly manual and time-consuming approach. However, this came at the expense of limiting the field of view and leaving particular areas exposed to attack.

Individuals are not required to make concessions with AI. Intelligent systems can distinguish between individuals, animals, and objects and then activate alarms based only on the signatures recognized, regardless of surrounding video noise such as blowing leaves, headlights, poor weather, or other factors. This capability enables all to zero in on their security objectives, which means all can widen their field of vision as needed.

And with increased adaptability and evolution come new chances. Security in the new era will have to anticipate new threats and hazards. Professionals on the cutting edge will leverage the additional setup flexibility to experiment with novel techniques and optimize proactively.

Maximize scale economies: With such a high rate of false positives, legacy security solutions did not inspire trust in the accuracy of alarms. Worse yet, wayward foliage or flashes of light can create hundreds of alarms per night—far too numerous to respond to promptly. AI-powered technologies drastically reduce false positives, allowing security teams to staff more efficiently.

Businesses can use intelligent video surveillance to employ a small team of remote monitors to keep an eye on multiple sites. Additionally, they can utilize innovative platforms to communicate in real-time with trespassers or troublemakers and call law enforcement or emergency personnel as needed.

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