The document discusses the integration of AI and ICT in smart city development, highlighting the roles of artificial neural networks (ANNs) in safety and security applications such as gunshot detection and video analytics. It emphasizes the importance of hybrid systems that combine AI capabilities with human oversight to enhance urban safety while acknowledging potential risks associated with complete reliance on AI. Ultimately, it presents the benefits of technology in managing city assets and addressing emerging cyber threats.

1. BY
M.Sai Srinivas.
15311A0568.
CSE-B

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

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.