We live in a digital age and with the evolution of AI and data analytics, ‘smart’ has become the operational word. Today, we have technologies and innovative capabilities that are increasingly turning our cities into smart cities. The integration of advanced technologies especially, AI, Internet of Things, and data analytics has the potential to seamlessly and efficiently help urban authorities globally in dealing with their biggest challenges. Despite the swanky buildings, wider roads and better access to power and communication etc., metropolitan cities are increasingly facing problems especially in areas such as traffic congestion, and law and order management etc. This is where video analytics platforms are of utmost importance. Robust video analytics platforms bring together the latest technologies of the day and create a holistic solution that not only enhances security provisions but also facilitates proactive operational support. The ability to build a secure and stress-free living environment is a key objective of all urban municipalities today.
There are billions of surveillance cameras in action all over the world today. However, the way they are used renders them almost ineffective when it comes to crime prevention. The human limitation is the core reason why surveillance cameras have not yet made our cities any safer than they were before the cameras arrived. Watching video feed from surveillance cameras with focus and alertness round-the-clock is almost an impossible task even in scenarios where dedicated security teams are put in place to monitor them. It is estimated that nearly 98% of the footage streamed by the cameras goes unobserved and even when surveillance recordings are reviewed, about 95% of the incidents are missed by the observers.
It is this limitation that can be eliminated for good by the integration of AI video analytics into surveillance cameras. Such advanced platforms can continuously monitor the stream, detect abnormal behaviour by people or even vehicles on a road. Whenever suspicious activity is noticed, the system would alert the authorities, leading to a proactive response. The technology can be easily deployed to analyse humongous volumes of video footage and conduct searches as required quickly and accurately. Video analytics of traffic movement on busy roads can generate critical insights. For instance, the causes of congestion, accidents or traffic violations can be identified and the learnings used to improve the conditions on those roads as well as in planning other roads elsewhere. All the monitoring and analytics activities can be conducted at a single traffic management hub. The best part is that the machines never get tired of performing such tasks with complete accuracy. “I can do this all day” as Captain America would say.
Whether it is managing traffic, enhancing security alertness or utilization of infrastructure, AI video analytics can bring about a transformation in multiple ways by simply generating and analysing data. Communities residing in smart cities can live in well-planned surroundings and enjoy a better quality of life courtesy of optimized utilities and public services. The resource optimization and management would invariably foster sustainability and better wellness for the people and streamlining of all urban activities.
Despite the fact that the core component of an AI video analytics platform is the security and surveillance cameras installed around any area, the benefits offered by the system holistically transform the urban management landscape. Law enforcement, public utilities, healthcare, traffic movement, hygiene, greenhouse emissions to business activities, the potential benefits of the technology are exponential. No wonder, the market is growing at a stunning CAGR of 33.7% and is expected to reach over $11.170 million by 2022.
Urban planners in major countries are already awake to the potential. The days when one’s own neighbourhood is turned into a smart, automated and sustainable habitat, are not far away!
Views expressed above are the author’s own.
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