Why Video Surveillance Needs AI to Evolve
Govciooutlook

Why Video Surveillance Needs AI to Evolve

By Gov CIO Outlook | Monday, September 14, 2020

Government agencies are using AI and networks of intelligent video security cameras to empower public safety and to manage resources more efficiently than ever before.

FREMONT, CA: Artificial Intelligence impacted industries in a big way, but nowhere has the impact been as significant as it has been in the security vertical. The evolving sophistication of video technology means that its accuracy and relevance are growing. Public safety agencies are greatly benefitting from pairing video surveillance with Artificial Intelligence (AI) and specialty analytics. Here is more about how AI shall impact the video surveillance industry in the near future.

Top 10 Intelligent Video Technology Consulting/Services Companies - 2019Identifying high-risk scenarios before the escalate is one of the major motivations behind the development of AI for security applications. With AI in the driving seat, operators implementing surveillance solutions can move beyond mere monitoring to use every video frame and data available to identify threats and inform the emergency response team. AI is still an evolving technology, and the benefits its capabilities deliver are tailored to minimize risks, maximize crime prevention, and save lives. 

Today, subsets of AI  like video analytics, machine learning, and deep learning make use of the massive data generated by IoT systems to find meaningful patterns in data sets, which are then translated into insights that help frame crime deterrence strategies. This technology takes a complete view of data, connecting individual data points to describe what is happening, to quickly identify high-risk instances before they escalate.

AI-based video analytics also generate efficiencies and providing non-security-related insights safety teams. Law enforcement agencies are using surveillance cameras with analytics that can spot theft and crime and also alert emergency response teams to intervene in real-time. Specialty analytics can also measure hotspots. Smart cities are also harnessing networks of intelligent sensors for data capture and to organize system response to incidents as they unleash, and improve processes like traffic flow. Behavioral analytics can be used to ensure public safety. Some software can even detect a potential threat in real-time, sending instant alerts to first responders to help reduce the risks to students, employees, and facilities.

See Also: Top Artificial Intelligence Solution Companies

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