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BY
M.Sai Srinivas.
15311A0568.
CSE-B
 Introduction
 Artificial Neural networks.
 Behavioural analytics.
 Safety & Security using AI.
 Conclusion.
 What is a smart city?
A smart city is an urban development mission to
integrate ICT(Information and Communication
Technology) and IOT(Internet Of Things) in a
fashion to manage city assets..
Artificial Intelligence.
 “The science and engineering of making
intelligent machines”.
 Functions such as learning and problem
solving, associated with human mind, when
done by machines, make them “intelligent”
AI has significant creations in the fields like
 Fraud Detection System.
 Advanced Sensing System.
 Drug detection.
 Advanced Computing and human computer
interface.
 Advanced Speech Recognition
 Search agents
 Gaming.
 we use a digital computer to run a simulation
of a bunch of heavily interconnected little mini-
programs which stand in for the neurons of our
simulated neural network. Data enters the
ANN and has some operation performed on it
 by the first “neuron,” that operation being
determined by how the neuron happens to be
programmed to react to data with those
specific attributes. It’s then passed on to the
next neuron, which is chosen in a similar way,
There are two types of algorithms used in AI
1. rule based algorithms.
2. self learning.
 Rule based systems are pre-coded by the
programmers and rely on set rules for
detecting anomalies.
 Neural networks are examples of Self learning
AI, whose mechanism is "learned" by the
computer using sophisticated algorithms
Gun Shot Detection Sensor
 Effectively detects most firearms including
handguns, shotguns, rifles and automatic rifles
 Instant playback of recorder gunshot
 Assess and manage situation remotely from a
safe location
 Automated trigger notifies appropriate staff
 Temporal pattern recognition is used to
discriminate gunshots and separate them from
other similar kind of sounds. ANNs are used to
listen for sound signatures in events
 Video analytics software was created to help
review the growing hours of surveillance video
that a security guard or system manager may
never have time to watch
 your video surveillance system is only as
useful as the incidents you can actually capture
and watch
Video analytics can be used for:
 Motion detection
 Facial recognition & license plate reading
 People counting & dwell time monitoring for
retail stores
 Recognizing long lines at checkout and sending
alerts
There are three components to a system
architecture of surveillance system utilizing
artificial intelligence.
1. Analytics
2. Data Mining.
3. AI Engine.
 Data mining is a computing technique for
determining patterns from data
 patterns that are not obvious to a human view
are teased out using statistical techniques such
as regression analysis and Bayesian analysis.
 drones have to be the
most innovative invention
considering to be
applied in smart cities
Advantages of Drones
 Being Unmanned, drones do not require
personnel dedicated to them and can be used
for long term surveillance
 They can cover large areas.
 Collect varied types of data.
 Not restricted to the mobility of cameras.
 no.of cyber threats growing day by day
 AI can be used to analyze oceans of data with
efficiency, accuracy and speed.
 With the ability to learn from already tackled
threats, the system can identify new threats
even if the pattern changes
 Antigena is the new technology, going to be
released by the end of this year.
 It uses deep-learning algorithms to identify the
file is malicious or legitimate.
 As AI is improving, some scientists believe that
some day it might dominate human brain and
result in destruction
 But using AI in security make smart cities
smarter & safer
 Even security Industry experts agree that
complete reliance on AI would be a mistake
 Although it eliminates human oversight and
errors it needs human touch.
 Thus, a hybrid system between AI and humans
is a smarter solution.
Ai presentation on using of Artificial intelligence in smart cities
Ai presentation on using of Artificial intelligence in smart cities

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Ai presentation on using of Artificial intelligence in smart cities

  • 2.  Introduction  Artificial Neural networks.  Behavioural analytics.  Safety & Security using AI.  Conclusion.
  • 3.  What is a smart city? A smart city is an urban development mission to integrate ICT(Information and Communication Technology) and IOT(Internet Of Things) in a fashion to manage city assets..
  • 4. Artificial Intelligence.  “The science and engineering of making intelligent machines”.  Functions such as learning and problem solving, associated with human mind, when done by machines, make them “intelligent”
  • 5. AI has significant creations in the fields like  Fraud Detection System.  Advanced Sensing System.  Drug detection.  Advanced Computing and human computer interface.  Advanced Speech Recognition  Search agents  Gaming.
  • 6.  we use a digital computer to run a simulation of a bunch of heavily interconnected little mini- programs which stand in for the neurons of our simulated neural network. Data enters the ANN and has some operation performed on it
  • 7.  by the first “neuron,” that operation being determined by how the neuron happens to be programmed to react to data with those specific attributes. It’s then passed on to the next neuron, which is chosen in a similar way,
  • 8. There are two types of algorithms used in AI 1. rule based algorithms. 2. self learning.  Rule based systems are pre-coded by the programmers and rely on set rules for detecting anomalies.  Neural networks are examples of Self learning AI, whose mechanism is "learned" by the computer using sophisticated algorithms
  • 9. Gun Shot Detection Sensor  Effectively detects most firearms including handguns, shotguns, rifles and automatic rifles  Instant playback of recorder gunshot  Assess and manage situation remotely from a safe location  Automated trigger notifies appropriate staff
  • 10.  Temporal pattern recognition is used to discriminate gunshots and separate them from other similar kind of sounds. ANNs are used to listen for sound signatures in events
  • 11.  Video analytics software was created to help review the growing hours of surveillance video that a security guard or system manager may never have time to watch  your video surveillance system is only as useful as the incidents you can actually capture and watch
  • 12. Video analytics can be used for:  Motion detection  Facial recognition & license plate reading  People counting & dwell time monitoring for retail stores  Recognizing long lines at checkout and sending alerts
  • 13.
  • 14. There are three components to a system architecture of surveillance system utilizing artificial intelligence. 1. Analytics 2. Data Mining. 3. AI Engine.
  • 15.  Data mining is a computing technique for determining patterns from data  patterns that are not obvious to a human view are teased out using statistical techniques such as regression analysis and Bayesian analysis.
  • 16.  drones have to be the most innovative invention considering to be applied in smart cities
  • 17. Advantages of Drones  Being Unmanned, drones do not require personnel dedicated to them and can be used for long term surveillance  They can cover large areas.  Collect varied types of data.  Not restricted to the mobility of cameras.
  • 18.  no.of cyber threats growing day by day  AI can be used to analyze oceans of data with efficiency, accuracy and speed.  With the ability to learn from already tackled threats, the system can identify new threats even if the pattern changes
  • 19.  Antigena is the new technology, going to be released by the end of this year.  It uses deep-learning algorithms to identify the file is malicious or legitimate.
  • 20.  As AI is improving, some scientists believe that some day it might dominate human brain and result in destruction  But using AI in security make smart cities smarter & safer  Even security Industry experts agree that complete reliance on AI would be a mistake
  • 21.  Although it eliminates human oversight and errors it needs human touch.  Thus, a hybrid system between AI and humans is a smarter solution.