Deep Learning For Real-Time Human Activity Recognition On Mobile Phones 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 different types of electronic IoT to collect data and then use this data to effectively manage assets and resources. Pune is a smart city located in India; citizens living in Pune do not need to rely on traditional ways of communicating with their local services and agencies. This has eliminated the pains of commuting to local government offices and the need for long queues and registration processes has been completely eliminated. The Pune Municipal Corporation (PMC) uses artificial intelligence chatbots to assist in these processes.

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

1. Chatbots have proven to be very useful in the government sector which leads to easy and efficient operations. Each smart city is designed to solve a specific problem, and thus each smart city has different missions and goals. In the context of India, a mission has been launched to develop and establish 100 smart cities to provide a sustainable environment and infrastructure to its residents. It is physically impossible for even human agents to process such a large number of queries. There is clearly a disconnect between the people and the local body in many towns and cities. In this case, automation can solve some common everyday obstacles.

Artificial intelligence can be used to understand everyday communication patterns. Between phone calls and chats, there is a trend that customers and clients prefer to use chatbots. Even popular marketing brands have started using AI chatbots as part of their conversational marketing efforts to give their customers a personalized experience. This not only increases customer retention but is more likely to convert an inquiry into a deal.

2. Adaptive Traffic Signs applied in cities such as Los Angeles, San Antonio and Pittsburgh. These technologies use real-time data to adjust the clocks on traffic lights to adjust traffic flow. This has improved travel times for city dwellers by 10 percent and in some areas with old traffic signals by 50 percent. Better traffic flow not only makes driving safer and more enjoyable but can also have enormous economic significance. The Texas Transportation Institute has estimated the cost of traffic congestion at $87.2 billion in wasted fuel and lost productivity.

City traffic can certainly affect how our lives improve. Better traffic flow and sensors can improve public transportation such as taxis, Uber, Lyfts and buses. This will directly affect the affordability for these app taxi services which tend to be overpriced depending on traffic conditions and taxi availability. The Massachusetts Bay Transportation Authority and others receive real-time information to provide the public with accurate arrival time forecasts. This is a game changer and something only smart cities can pull off!

3. Monitoring and Security will play a key factor in smart cities in the future. Nvidia predicts that by 2020 there will be nearly 1 billion security cameras in use worldwide. While the installation of security cameras has sparked a debate over privacy and a militarized state, the presence of cameras has also improved public safety, reducing crime rates. and arresting terrorists. Unfortunately, the number of cameras will produce 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 ways to train AI systems to recognize specific objects and activities in photos. A study on real-time monitoring of multiple videos is being conducted through the Deep Intermodal Video Analytics project, led by the Intelligence Research Projects Projects. Nvidia is also developing a metropolis platform designed to use deep learning AI to aid analysis.

4. Water and Power are important resources for managing a smart city. AI can be used to optimize power and water usage. Google claims that AI has reduced power requirements in its data centers by 40 percent. Cities are now using smart grids to better manage power. Solar-powered microgrids can be used in airports as demonstrated by the city of Chattanooga in Tennesee. AI is also being applied to water measurement to reduce excess water and detect floods.

5. Public Safety could be completely revolutionized if law enforcement agencies apply predictive modeling and AI frameworks to run checks against criminal databases. License plate reading technology can also be used by police to locate stolen cars and identify expired registrations. Of course there are privacy concerns when using predictive policing systems; nobody wants a science fiction police state like Steven Speilberg’s Minority Report! There is much work to be done before these technologies can be used effectively for the public.

There is huge potential for AI to change the lives of residents in smart cities. The United States and China have already implemented most of these technologies in various states and cities. It will only be a matter of time before other countries use these technologies to improve the lives of their citizens.

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