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Smart City
Face recognition base on surveillance monitor and big data that able to track
suspects
Outline
● Introduction
● Body
Feasibility analysis.
Scientific evidence.
How generic people benefited from this idea.
● Reference
● Conclution
Idea introduction
Difference between the approach in nowaday
and the conceptual illustration
Nowaday approch
fig (1)
Current practices in electronic surveillance
1. 2. 3. 4.
Police have to access to all
surveillance cameras manually.
Nowaday approch
fig (1.1)
Current practices in electronic surveillance
1. 2. 3. 4. 1.
Determine where the suspect may
appear
Nowaday approch
fig (1.2)
Current practices in electronic surveillance
1. 2. 3. 4. 2.
Access the surveillance on the path
Nowaday approch
fig (1.3)
Current practices in electronic surveillance
1. 2. 3. 4. 3.
Capture and organize videos for a
specific time period and then
assign tasks
Nowaday approch
fig (1.4)
Current practices in electronic surveillance
1. 2. 3. 4. 4.
Watch video manually and try to
find where the suspect is.
What is the problem?
● Time consuming.
● suspect may run far away during the period of watching video
● human may fail to recognize the face with confusing by wearing different cloth
suspect.
The illustration of face recognition in
surveillance monitor
fig (2)
Using machine learning to create face recognition
system
1. 2. 3.
The illustration of face recognition in
surveillance monitor
fig (2)
Using machine learning to create face recognition
system
1. 2. 3.
Collect the face into government data
management system
The illustration of face recognition in
surveillance monitor
fig (2)
Using machine learning to create face recognition
system
1. 2. 3.
Machine learning to training facial
regonition model.
The illustration of face recognition in
surveillance monitor
fig (2)
Using machine learning to create face recognition
system
1. 2. 3. Cloud system will imform the
police where the suspect is, once
the system find the specific
person.
Interesting for General Public
Safe life Reduce crime rates
Interesting for General Public
Enegy efficiency Saving time
Interesting for CS/CE Students
The active of samrt
city bring..
Employment
Career Opportunities
More funding for research
Example of SMART CITY
technorogy
Anylsing data from
surveillance
cameras
Using for tracking offenders !
Using for preventing crime !
Importantance of IoT
● Improving convenience
● More efficiency
● cost economy
Example of current IoT
technology...
● Door lock system
● air conditioner
       etc...
Importance of BIG DATA
● Build database
● Facial recognition
BIG DATA Management
Outline Your Goals Data Protection
NEW WAY
OLD WAY
Adapt to the
New Changes
Facial Recognition
Facial Recognition
Short Video
https://www.youtube.com/watch?v=zMhHsaHR8oA
Challenge
Cheaper Device
Privacy problem
Power Saving IoT
Reason of Fail
Budget
Data collection
Future of SMART
CITIES
● More business opportunities
Layout of Prestation
map
Refference ● Real-Time Action Detection in Video
Surveillance using Sub-Action Descriptor with
Multi-CNN
● BALANCING OF NEEDS BETWEEN :SECURITY
AND PRIVACY ENGLAND
● Identify and Trace Criminal Suspects in the
Crowd Aided by Fast Trajectories Retrieval
● Face recognition-based real-time system for
surveillance

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