Smart cities are metropolitan areas that use different types of electronic IoT to collect data and then use this data to manage assets and resources efficiently. London is a smart city situated in India; citizens who live in London don't need to rely on traditional types of communication with their local utilities and program bodies. This has eliminated the pains of travelling to regional governing departments and offers completely eliminated the need for long queues and registration processes.
Here are some ways we can use AI to make cities smarter:
1. Chatbots have proved to be very useful in navigating the government sector leading to simple and effective workflows. Every sensible city is designed to solve a specific problem, and thus each smart city provides different missions and objectives.
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In the context of India, a mission for developing and establishing 100 smart cities was launched to provide a sustainable environment and infrastructure for its residents. It's not physically possible for human agents to process a large volume of queries as well. There is clearly a disconnection between the populace and the local body in many towns and cities. In this instance, automation can solve some of the common day-to-day hurdles.
Artificial intelligence can be used to understand the daily patterns of communication. Between phone calls and chat, there has been a trend for consumers and customers to prefer using chatbots. Even popular retail brands have started to use AI chatbots as part of their conversational marketing attempts to give their customers a customized experience. This not only adds to client retention but is more likely to convert an enquiry into a deal.
2. Adaptive Traffic Signals have been applied in cities such as Los Angeles, San Antonio and Pittsburgh. These systems use real-time data to change the timers on traffic lights to adjust the flow of visitors. This has improved travel situations for city occupants by 10 per cent and in some areas with outdated traffic signals by 50 %. Better traffic flow not merely makes traveling safer and enjoyable but also can have immense economic significance. The Texas Transportation Institute has estimated the price of visitors congestion at USD 87.2 billion in wasted fuel and lost productivity.
City traffic can definitely affect how our lives improve. Better traffic flow and sensors could better general public transportation such as for example taxis, Uber, Lyfts and buses. This would directly impact affordability for these app-based taxi solutions which tend to have surge pricing based on traffic conditions and taxi availability. The Massachusetts Bay Transport Authority and others tap into real-time information to create accurate arrival-time predictions available to the public. This is a game changer and something only smart cities can pull off!
3. Surveillance and Security are going to play a major factor in smart cities in the future. Nvidia predicts you will see about 1 billion security cameras used around the world by 2020. While the placement of security camera systems has sparked a debate about privacy and a militarized state, the presence of cameras has also made improvements in public safety, reduced crime rates, and catching terrorists. Unfortunately, the number of cameras will produce far more data than human being operators will be able to 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 identify specific objects and activities in imagery. There is certainly research being done for real-time monitoring of multiple video clips feeds through a Deep Intermodal Video Analytics project, run by Intelligence Advanced Research Projects Activity. Nvidia is also developing a metropolis platform designed to use deep learning AI to help with analysis.
4. Water and Power are important resources to control in a good city. AI can be leveraged to streamline power and water usage. Google claims that AI offers cut power requirements in its data centres by 40 per cent. Cities are actually using smart grids to manage power better. Solar-powered microgrids can be utilized in airports as illustrated by the city of Chattanooga in Tennesee. AI can be being applied to drinking water metering to curb unwanted water and find leaks.
5. Public Safety could be completely revolutionized if law enforcement agencies apply predictive modelling and AI framework to run checks against criminal databases. License plate reader technology can also be used by the police to find stolen cars and determine expired registrations. There are of program privacy concerns when predictive policing systems are used; no one wants a science fiction police state like the Steven Speilberg movie: Minority Report! There is a lot of work to be done before these technologies can be used effectively for the public.
We hope you like this article if you did please do let us know in the comments section below. We will make sure will post this type of article later on again. Thanks in advance.
Here are some ways we can use AI to make cities smarter:
1. Chatbots have proved to be very useful in navigating the government sector leading to simple and effective workflows. Every sensible city is designed to solve a specific problem, and thus each smart city provides different missions and objectives.
Read more here about Mobile app development, and for more information related to - Mobile App Development Company here in detail. Visit the website for more information.
In the context of India, a mission for developing and establishing 100 smart cities was launched to provide a sustainable environment and infrastructure for its residents. It's not physically possible for human agents to process a large volume of queries as well. There is clearly a disconnection between the populace and the local body in many towns and cities. In this instance, automation can solve some of the common day-to-day hurdles.
Artificial intelligence can be used to understand the daily patterns of communication. Between phone calls and chat, there has been a trend for consumers and customers to prefer using chatbots. Even popular retail brands have started to use AI chatbots as part of their conversational marketing attempts to give their customers a customized experience. This not only adds to client retention but is more likely to convert an enquiry into a deal.
2. Adaptive Traffic Signals have been applied in cities such as Los Angeles, San Antonio and Pittsburgh. These systems use real-time data to change the timers on traffic lights to adjust the flow of visitors. This has improved travel situations for city occupants by 10 per cent and in some areas with outdated traffic signals by 50 %. Better traffic flow not merely makes traveling safer and enjoyable but also can have immense economic significance. The Texas Transportation Institute has estimated the price of visitors congestion at USD 87.2 billion in wasted fuel and lost productivity.
City traffic can definitely affect how our lives improve. Better traffic flow and sensors could better general public transportation such as for example taxis, Uber, Lyfts and buses. This would directly impact affordability for these app-based taxi solutions which tend to have surge pricing based on traffic conditions and taxi availability. The Massachusetts Bay Transport Authority and others tap into real-time information to create accurate arrival-time predictions available to the public. This is a game changer and something only smart cities can pull off!
3. Surveillance and Security are going to play a major factor in smart cities in the future. Nvidia predicts you will see about 1 billion security cameras used around the world by 2020. While the placement of security camera systems has sparked a debate about privacy and a militarized state, the presence of cameras has also made improvements in public safety, reduced crime rates, and catching terrorists. Unfortunately, the number of cameras will produce far more data than human being operators will be able to 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 identify specific objects and activities in imagery. There is certainly research being done for real-time monitoring of multiple video clips feeds through a Deep Intermodal Video Analytics project, run by Intelligence Advanced Research Projects Activity. Nvidia is also developing a metropolis platform designed to use deep learning AI to help with analysis.
4. Water and Power are important resources to control in a good city. AI can be leveraged to streamline power and water usage. Google claims that AI offers cut power requirements in its data centres by 40 per cent. Cities are actually using smart grids to manage power better. Solar-powered microgrids can be utilized in airports as illustrated by the city of Chattanooga in Tennesee. AI can be being applied to drinking water metering to curb unwanted water and find leaks.
5. Public Safety could be completely revolutionized if law enforcement agencies apply predictive modelling and AI framework to run checks against criminal databases. License plate reader technology can also be used by the police to find stolen cars and determine expired registrations. There are of program privacy concerns when predictive policing systems are used; no one wants a science fiction police state like the Steven Speilberg movie: Minority Report! There is a lot of work to be done before these technologies can be used effectively for the public.
We hope you like this article if you did please do let us know in the comments section below. We will make sure will post this type of article later on again. Thanks in advance.
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