As cities get smarter, they are becoming more livable and more responsive—and today we are seeing only a preview of what technology could eventually do in the urban environment.
~ McKinsey Global Institute
To make better decisions and enhance quality of life, smart building / cities use data and digital technologies. Agencies are able to follow events as they develop, comprehend how demand patterns are evolving, and respond with quicker and more affordable solutions thanks to more complete, real-time data.
A smart city is made up of three levels that function in concert. The first is the technological foundation, which consists of a necessary number of cellphones and sensors linked by quick communication networks. A second layer of applications is present. The correct tools are needed to convert raw data into alerts, insight, and action, and here is where technology providers and app developers come in. Use by businesses, cities, and the general public makes up the third layer.
How can Artificial Intelligence (AI) assist us in Smart Cities?
Environmental Conditions:
AI can be used to analyze citizens’ energy consumption data to determine where to use renewable energy sources. In addition, it can show cities where energy is wasted and suggest measures to save it. AI can also analyze and predict pollution levels, allowing authorities to make the best decisions for the environment.
Traffic Management:
Intelligent traffic management systems can solve congestion problems by informing drivers about road closures and delays. It can help reduce your carbon footprint by using deep learning algorithms to predict and reduce traffic. Traffic violation detection systems and AI-enabled cameras can significantly reduce traffic accidents.
Security:
AI-enabled camera can detect criminal activity and immediately report it to authorities. Drones can recognize human faces, track identities against databases, and authenticate people entering cities and restricted areas.
Public Transportation:
With the help of AI, users can receive live updates on public transit, improving timing and customer satisfaction. Autonomous buses in cities can reduce emissions and improve routes.
Disposal of Wastes:
Artificial intelligence can distinguish different types of trash, track the closest location, and monitor the amount of trash to avoid overflow. AI can sort recyclables much more efficiently and quickly.
