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Government CIO Outlook | Thursday, July 27, 2023
The accuracy of AI-based systems can be much higher. In smart cities, AI-enhanced technologies are commonly used for tasks that humans would find difficult. Crowd estimation, weapon detection, improving investigations, and reducing traffic congestion are a few examples.
FREMONT, CA: Cities, transit organizations, and public-facing businesses are adopting artificial intelligence (AI)-enhanced technologies to identify and respond more effectively to security risks. Video surveillance technology, in particular, can be an effective force multiplier at a reasonable price.
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However, "artificial intelligence" is a bit of a misnomer when it comes to security analytics. Machines can be taught to find patterns exceptionally well and even improve their abilities over time. However, the machine doesn't think. Algorithms are defined, managed, and validated by humans. Operators must also consider the procedures surrounding the data and insights gathered.
Technology-enhanced by AI, deep learning, and machine learning can enhance public safety and streamline operations when combined with human interaction.
Enhanced security, infrastructure management, crowd control, and more with AI: Often, AI-enhanced technologies are used in smart cities to complete tasks that would otherwise be difficult for humans to accomplish. For example, crowd estimation, weapon detection, identifying critical hardware failures, enhancing investigations, or reducing congestion to improve traffic flow.
As a result of AI-enhanced technologies, security teams can identify potential threats more quickly.
With video analytics and AI, for example, people, loiterers, crowds, and cars can be intelligently and accurately classified. Responders and investigators can identify people, objects, and moments that matter quicker and easier when machines label live and recorded video. By avoiding hours of combing through surveillance footage, they can save time. First responders and civilians can benefit greatly from these data insights during an emergency.
Additionally, transit authorities are beginning to explore the power of video analytics. Transit agencies can optimize fleet deployment and reduce bottlenecks at tram, train, and metro stations by connecting onboard systems to wayside systems. When crowds form, operators can receive an alert and deploy more trains.
Residents' and visitors' privacy can also be protected by AI-powered technologies without compromising security. In communities, the proliferation of video surveillance has raised understandable concerns about balancing privacy rights with safety and security. It is possible to protect people's privacy by automatically blurring people and limiting access to the original footage to those who need to know.
Getting through the noise: A security system can help an organization's community agencies improve operations and resident experiences, as well as assist with incident response and safety enhancement. There are many challenges associated with the abundance of information available today. Cities are generating more information as they deploy more cameras, sensors, and other devices. Identifying specific threats can become overwhelming for security personnel when they must actively monitor all the input from these devices.
Technologies powered by AI can help focus on essential information and filter out unimportant data.
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