All Things Of This World Flow Into The City Artificial Intelligence in Smart Cities – How Does It Make the City Smarter?

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Artificial Intelligence in Smart Cities – How Does It Make the City Smarter?

Smart cities are cities that use various types of electronic IoT to collect data and then use this data to efficiently manage assets and resources. Pune is a smart city in India; Citizens living in Pune need not rely on traditional methods of interacting with their local facilities and service organizations. This eliminates the hassle of going to local administrative departments and eliminates the need for long queues and registration procedures altogether. Pune Municipal Cooperation (PMC) uses artificial intelligent chatbots to help with this process.

Here are some ways we can use AI to make cities smarter:

1. Chatbots It has proven to be very useful in navigating the government sector leading to an easy and efficient workflow. Each smart city is designed to solve a specific problem and thus each smart city has different goals and objectives. In the context of India, a mission was launched to develop and establish 100 smart cities to provide a sustainable environment and infrastructure to its residents. It is not physically possible for human agents to process a large number of queries. In many towns and cities there is a clear disconnect between population and local institutions. In this case, automation can solve some common everyday obstacles.

Artificial intelligence can be used to understand everyday forms of communication. Between phone calls and chats, there is a trend to prefer using chatbots among customers and consumers. Even popular retail brands have started using AI chatbots as part of their interactive marketing efforts to provide a personalized experience to their customers. Not only does this increase customer retention, it is more likely to convert an inquiry into a deal.

2. Adaptive Traffic Signals Implemented in cities such as Los Angeles, San Antonio and Pittsburgh. These technologies use real-time data to change timers on traffic lights to adjust traffic flow. This has increased travel times for city residents by 10 percent and outdated traffic signals by 50 percent in some areas. Better traffic flow not only makes driving safer and more enjoyable, but can also be of great economic value. The Texas Transportation Institute estimates that traffic congestion costs USD 87.2 billion in wasted fuel and lost productivity.

City traffic can definitely affect how our lives improve. Better traffic flow and sensors can improve public transport like taxis, Uber, Lyfts and buses. This will have a direct impact on the profitability of these app-based taxi services which have incremental pricing based on traffic conditions and taxi availability. The Massachusetts Bay Transportation Authority and others tap into real-time information to provide accurate arrival-time estimates. This is a game changer and something that only smart cities can pull off!

3. Surveillance and Security Smart cities are going to be a big factor in the future. Nvidia predicts that by 2020 there will be around 1 billion security cameras in use worldwide. While the deployment of security cameras has fueled debates about privacy and martial law, the presence of cameras has improved public safety, reducing crime rates. And arrested the terrorists. Unfortunately, the number of cameras will generate far more data than human operators can manage. Machine learning and artificial intelligence will help improve facial recognition, tracking and other aspects of security detection.

Government agencies are now developing means to train AI systems to recognize specific objects and activities in imagery. Research into real-time monitoring of multiple video feeds is being conducted by the Deep Intermodal Video Analytics project run by the Intelligence Advanced Research Projects Activity. Nvidia is also developing a Metropolis platform designed to use deep learning AI to help with analytics.

4. water and electricity A smart city has important resources to manage. AI can be used to streamline electricity and water use. Google claims that AI has reduced power requirements in its data centers by 40 percent. Cities are now using smart grids to manage electricity. Solar-powered microgrids can be used at airports, as demonstrated by the city of Chattanooga in Tennessee. AI is also being applied to water metering to prevent excess water and detect leaks.

5. Public safety Applying predictive modeling and AI frameworks to law enforcement agencies to check against criminal databases can be completely revolutionized. License plate reader technology can also be used by police to track stolen cars and identify expired registrations. There are certainly privacy issues when predictive policing systems are used; Nobody wants a science fiction police state like the Steven Spielberg movie: Minority Report! There is much work to be done before this technology can be effectively used by the public.

AI has tremendous potential to transform the lives of residents in smart cities. The US and China have already deployed most of these technologies in various states and cities. It will only be a matter of time before other countries adopt this technology to better the lives of their citizens.

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