Post on 13-Apr-2017
AMBIENT INTELLIGENCE BY
M.BHAGYASRI
CONTENTS
INTRODUCTION AmI ARCHITECTURE KEY CHARACTERISTICS TECHNOLOGIES USED STEPS OF AMBIENT INTELLIGENCE APPLICATIONS ISSUES AND CHALLENGES RESEARCH WORK ADVANTAGES CONCLUSION
INTRODUCTION Ambient intelligence is an emerging discipline that brings
intelligence to our everyday environments and makes those environments sensitive to us.
“ARCHITECTURE
KEY CHARACTERISTICS
Embeded Context Aware Personalized Adaptive Anticipatory
Ambient Intelligence builds on 3 recent key technologies:
TECHNOLOGIES USED
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).
Other technologies used for implementing AmI are: Bluetooth Low Energy RFID MicroChip Implant SensorsAffective ComputingBiometrics
TECHNOLOGIES USED
STEPS OF AMBIENT INTELLIGENCE
Wireless sensors and Werable device
APPLICATIONS
Smart Homes
Health – Related Applications
Education Services
Emergency services
ISSUES
Privacy and security.
Interoperability.
Reliability.
Resource constraints.
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.
RESEARCH WORK
Internet Fridge Karotz Moores Cloud HomeOS SmartTvs CeNSE Connected Cars
ADVANTAGES
Reduced Human Efforts and machine interactions.
Increased Information, Connectivity and Leisure.
Future Ready Ambience.
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.
Thank You !
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