14-02-2010, 10:11 PM
SixthSense: RFID-based Enterprise Intelligence
ABSTRACT:
RFID is widely used to track the movement of goods through a supply chain.RFID platform is extended by presenting SixthSense here. SixthSense combines mobil-
ity information obtained from RFID-based sensing with in-
formation from enterprise systems such as calendar and pres-
ence, to automatically draw inferences about the association
and interaction amongst people, objects, and workspaces.
INTRODUCTION:
Radio Frequency Identification (RFID) is an electronic tagging technology that allows the detection and tracking of tags, and consequently the objects they are af-fixed to.SixthSense focuses on applying RFID to an
enterprise setting, such as a corporate office or university
department.In short SixthSense represents a form of mobile computing applied to non-computing entities.
SIXTHSENSE ARCHITECTURE:
Assumptions:
SixthSense assumes an enterprise setting with widespread
coverage of RFID readers and that people and objects are tagged with RFID. Users are free to pick up new tags and affix
them to objects, as and when needed.
Architectural Components:
The key com-
ponents of the system, including the databases, inference
engine, and applications, are run centrally by the enter-
prise.the various components of Sixth-
Sense are:
1)RFID Monitor:
It issues a read command every 500 ms to
the RFID reader which then reports the EPC and the signal
strength of the tags read via each of its antennas.
Other Enterprise Monitors:
2)Calendar Monitor:
monitors the time and location of the
userâ„¢s appointments.
3)Presence Monitor:
monitors the status of each
userâ„¢s interaction with their desktop
4)Cameras:The camera feed is stored
in a video database for future analysis,
5)Login Monitor:
general login is a much stronger indica-
tion of a user being present than simply a change in
their machineâ„¢s idle.
Raw database:
The RFID monitor and the other enterprise monitors push
data into the raw database.
Processed database:
It is populated by the inference en-
gine with its inferences
Inference engine:
operates on the raw database us-
ing the algorithms to draw inferences.
Full report:
http://www.stanford.edu/~piyushag/docs/mobisys08.pdf
ABSTRACT:
RFID is widely used to track the movement of goods through a supply chain.RFID platform is extended by presenting SixthSense here. SixthSense combines mobil-
ity information obtained from RFID-based sensing with in-
formation from enterprise systems such as calendar and pres-
ence, to automatically draw inferences about the association
and interaction amongst people, objects, and workspaces.
INTRODUCTION:
Radio Frequency Identification (RFID) is an electronic tagging technology that allows the detection and tracking of tags, and consequently the objects they are af-fixed to.SixthSense focuses on applying RFID to an
enterprise setting, such as a corporate office or university
department.In short SixthSense represents a form of mobile computing applied to non-computing entities.
SIXTHSENSE ARCHITECTURE:
Assumptions:
SixthSense assumes an enterprise setting with widespread
coverage of RFID readers and that people and objects are tagged with RFID. Users are free to pick up new tags and affix
them to objects, as and when needed.
Architectural Components:
The key com-
ponents of the system, including the databases, inference
engine, and applications, are run centrally by the enter-
prise.the various components of Sixth-
Sense are:
1)RFID Monitor:
It issues a read command every 500 ms to
the RFID reader which then reports the EPC and the signal
strength of the tags read via each of its antennas.
Other Enterprise Monitors:
2)Calendar Monitor:
monitors the time and location of the
userâ„¢s appointments.
3)Presence Monitor:
monitors the status of each
userâ„¢s interaction with their desktop
4)Cameras:The camera feed is stored
in a video database for future analysis,
5)Login Monitor:
general login is a much stronger indica-
tion of a user being present than simply a change in
their machineâ„¢s idle.
Raw database:
The RFID monitor and the other enterprise monitors push
data into the raw database.
Processed database:
It is populated by the inference en-
gine with its inferences
Inference engine:
operates on the raw database us-
ing the algorithms to draw inferences.
Full report:
http://www.stanford.edu/~piyushag/docs/mobisys08.pdf