Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and with the environment. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence. Because these contributing fields have experienced tremendous growth in the last few years, AmI research has strengthened and expanded. Because AmI research is maturing, the resulting technologies promise to revolutionaries daily human life by making people's surroundings edible and adaptive.

1. AMBIENT INTELLIGENCE
BY
M.BHAGYASRI

2. CONTENTS
 INTRODUCTION
 AmI ARCHITECTURE
 KEY CHARACTERISTICS
 TECHNOLOGIES USED
 STEPS OF AMBIENT INTELLIGENCE
 APPLICATIONS
 ISSUES AND CHALLENGES
 RESEARCH WORK
 ADVANTAGES
 CONCLUSION

3. INTRODUCTION
 Ambient intelligence is an emerging discipline that brings
intelligence to our everyday environments and makes those
environments sensitive to us.

4. “
ARCHITECTURE

5. KEY CHARACTERISTICS
 Embeded
 Context Aware
 Personalized
 Adaptive
 Anticipatory

6.  Ambient Intelligence builds on 3 recent key technologies:
TECHNOLOGIES USED

7.  UBIQUITOUS COMPUTING means integration of microprocessors
into everyday objects like furniture, clothing, white goods, toys, even
paint.
 UBIQUITOUS COMMUNICATION enables these objects to
communicate with each other and the user by means of ad-hoc and
wireless networking.
 An INTELLIGENT USER INTERFACE enables the inhabitants of
the AmI environment to control and interact with the environment in a
natural (voice, gestures) and personalized way (preferences, context).

8. Other technologies used for implementing AmI
are:
 Bluetooth Low Energy
 RFID
 MicroChip Implant
 Sensors
Affective Computing
Biometrics

9. TECHNOLOGIES USED

10. STEPS OF AMBIENT INTELLIGENCE

11. Wireless sensors and Werable device

12. APPLICATIONS
 Smart Homes
 Health – Related Applications
 Education Services
 Emergency services

13. ISSUES
 Privacy and security.
 Interoperability.
 Reliability.
 Resource constraints.

14. CHALLENGES
 Many AmI applications relying upon wireless sensors are
at the mercy of battery lie for the sensors.
 Challenge is to model multiple residents in an
environment.
 Challenge for AmI researchers is to design self-testing and
self-repairing AmI software.

15. RESEARCH WORK
 Internet Fridge
 Karotz
 Moores Cloud
 HomeOS
 SmartTvs
 CeNSE
 Connected Cars

16. ADVANTAGES
 Reduced Human Efforts and machine interactions.
 Increased Information, Connectivity and Leisure.
 Future Ready Ambience.

17. CONCLUSION
Ambient Intelligence is establishing fast as an area where a
confluence of topics can converge to help society through
technology. There are still many challenges ahead and
improvements are needed at all levels: infrastructure,
algorithms and human computer interaction for AmI systems
to be widely accepted and more important of all, be useful to
society.

18. Thank You !

19. QUERIES?????