smart city homework

1. Smart City
Face recognition base on surveillance monitor and big data that able to track
suspects

2. Outline
● Introduction
● Body
Feasibility analysis.
Scientific evidence.
How generic people benefited from this idea.
● Reference
● Conclution

3. Idea introduction
Difference between the approach in nowaday
and the conceptual illustration

4. Nowaday approch
fig (1)
Current practices in electronic surveillance
1. 2. 3. 4.
Police have to access to all
surveillance cameras manually.

5. Nowaday approch
fig (1.1)
Current practices in electronic surveillance
1. 2. 3. 4. 1.
Determine where the suspect may
appear

6. Nowaday approch
fig (1.2)
Current practices in electronic surveillance
1. 2. 3. 4. 2.
Access the surveillance on the path

7. 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

8. 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.

9. 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.

10. The illustration of face recognition in
surveillance monitor
fig (2)
Using machine learning to create face
recognition system
1. 2. 3.

11. 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

12. 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.

13. 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.

14. Interesting for General Public
Safe life Reduce crime rates

15. Interesting for General Public
Enegy efficiency Saving time

16. Interesting for CS/CE Students
The active of samrt
city bring..
Employment
Career Opportunities
More funding for research

17. Example of SMART CITY
technorogy
Anylsing data from
surveillance
cameras
Using for tracking offenders !
Using for preventing crime !

18. Importantance of IoT
● Improving convenience
● More efficiency
● cost economy

19. Example of current IoT
technology...
● Door lock system
● air conditioner
etc...

20. Importance of BIG DATA
● Build database
→ human face database
● Data analyzing
→ facial recognition

21. BIG DATA Management
Outline Your Goals Data Protection
NEW WAY
OLD WAY
Adapt to the
New Changes

22. Facial Recognition

23. Facial Recognition
source : ccw1986.blogspot

24. Short Video
https://www.youtube.com/watch?v=zMhHsaHR8oA

25. Challeng
e
Cheaper Device
Privacy problem
Power Saving
IoT

26. Reason of
FailBudget
Data collection

27. Future of SMART
CITIES
● More business opportunities

28. Layout of Prestation

29. map

30. 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