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WHAT
AI AND MACHINE
LEARNING
Can Do for a Smart City?
Artificial Intelligence and Machine Learning algorithms have increasingly
become an integral part of several industries. Now they are making their way
to smart city initiatives, intending to automate and advance municipal
activities and operations at large.
A smart city has various use cases for AI-driven and IoT-enabled technology,
from maintaining a healthier environment to advancing public transport and
safety.
By leveraging AI and machine learning algorithms, along with IoT, a city can
plan for better smart traffic solutions making sure that inhabitants get from
one point to another as safely and efficiently as possible.
Managing
Traffic
Traffic flow and traffic sensor systems
equipped with AI can make congestion
passe.
Traffic cameras can collect real time data
of vehicles on road, send it to a control
centre, which collates the data fed from
other points and adjusts the signal
timings to ensure smooth flow.
Video
surveillance
Artificial intelligence and machine
learning could be helpful in emergency
situations.
Say, a civilian meets with an accident or
collapses on the street or is attacked on
the street somewhere, camera based AI
can source the victim’s name and contact
information and contact relevant
authorities.
Power usage
Cities are moving towards using “smart
grids” to supply power to citizens.
Smart Grid- It has a central management
center to control all units and ensure
they operate at highest efficiency.
This helps in reducing the electrical
consumption at peak times and results in
a tangible economic benefit.
Our Social
Pages
FACEBOOK
www.facebook.com/tyronesystems
TWITTER
www.twitter.com/tyronesystems
BLOG
www.blog.tyronesystems.com
Thank You!

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What AI and Machine Learning Can Do for a Smart City

  • 1. WHAT AI AND MACHINE LEARNING Can Do for a Smart City?
  • 2. Artificial Intelligence and Machine Learning algorithms have increasingly become an integral part of several industries. Now they are making their way to smart city initiatives, intending to automate and advance municipal activities and operations at large. A smart city has various use cases for AI-driven and IoT-enabled technology, from maintaining a healthier environment to advancing public transport and safety. By leveraging AI and machine learning algorithms, along with IoT, a city can plan for better smart traffic solutions making sure that inhabitants get from one point to another as safely and efficiently as possible.
  • 3. Managing Traffic Traffic flow and traffic sensor systems equipped with AI can make congestion passe. Traffic cameras can collect real time data of vehicles on road, send it to a control centre, which collates the data fed from other points and adjusts the signal timings to ensure smooth flow.
  • 4. Video surveillance Artificial intelligence and machine learning could be helpful in emergency situations. Say, a civilian meets with an accident or collapses on the street or is attacked on the street somewhere, camera based AI can source the victim’s name and contact information and contact relevant authorities.
  • 5. Power usage Cities are moving towards using “smart grids” to supply power to citizens. Smart Grid- It has a central management center to control all units and ensure they operate at highest efficiency. This helps in reducing the electrical consumption at peak times and results in a tangible economic benefit.