Project
has advanced from beta phase and is completely functional but is still in
preliminary stage. Algorithms working behind scenes are still in infancy stage
and have scope for improvement. Also there are many hardware and software
optimisations which needs to be done in terms of energy requirement.
Remaining areas of
concern
Automatic
cloth detection
Using
UHF RFID reader instead of LF RFID reader to completely remove the task of user
scanning each item manually one by one. This will prevent many fail cases to
occur in smart wardrobe which can occur due to causes like scanning multiple
items at once.
Enhanced wardrobe Security
Applying
modern security mechanisms like fingerprints or passwords based locks thus
making whole wardrobe theft proof.
Advanced Data Mining and more useful
suggestions
Applying
more intelligent predictive analysis techniques and algorithms which are being
continuously developed for much better suggestions for varying scenarios.
Managing multiple wardrobes
Multiple
wardrobes can be managed or accessed with single devices or multiple devices if
authorized.
Pest control
Detecting pests and getting rid of them without harming clothes.
Cost reduction and reducing energy requirements.
Instead of providing power for different sensor separately we would supply power for all at once.
Dirt spots
Detecting
unhygienic clothes, identifying the dirt spots and notifying user about them.
Image coustesy: www.dreamstime.com |
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