Video surveillance technology can distinguish crowds of people and attempt to detect an altercation if the correct algorithm is in place. It can detect a sudden dispersal of people and begin to recognize a threat.
FREMONT, CA: As soon as COVID-19 emerged in 2020, state and local governments and healthcare organizations acted immediately to prevent exposure. Not only were residents advised to stay at home and quarantine, but it was also vital to understand the community's exposure. Data collection and analysis are critical components of these endeavors. The deployment of video surveillance technologies is one way to improve contact tracing efforts in smart cities. With the addition of AI and data analytics, video surveillance technology and how it is assisting cities in navigating this new, post-COVID environment can be given a lot of credence.
[vendor_logo_first]At the city level, video surveillance has been used in areas that many of us are acquainted with, such as public transit monitoring, facial recognition, and license plate recognition, but one can now see that value applied from the perspective of behavior recognition described. Video surveillance technology can distinguish crowds of people and attempt to detect an altercation if the correct algorithm is in place. It can detect a sudden dispersal of people and begin to recognize a threat. This information is crucial in telling the whole tale of an unfolding incident.
That behavior identification and video data can now be rendered even more effective in implementing best practices through contact tracking and social distancing due to a COVID lens. Even beyond COVID-19 concerns, the use of AI and data analytics in video surveillance technology can greatly assist with various aspects of smart city initiatives such as identifying available parking spots, relaying route information to autonomous vehicles, and identifying traffic flow patterns throughout the city. All of this information may be used to provide a better optimum living experience for city people, including increased visibility across the city and the capacity to spot current patterns. Some solutions merge and automate numerous analytics and AI platforms to help build a smart city.
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