Abstract:
Object recognition and navigation are
highly challengeable for visually impaired even
though the environment is familiar for him. There
are different approaches for addressing this
problem domain using technologies such as Global
Positioning System (GPS) technology, Radio
Frequency Identification (RFID) sensor technology
etc. Although existing systems which use these
different technologies for addressing this approach
there are still limitations and issues due to usability
and cost effectiveness of them to be addressed. The
proposed system enables the blind person to directly
interact with a mobile application and request the
needed object as a voice command. Then it will
process through image recognition and optimal path
finding modules and identify the correct object and
will guide the blind person to navigate to it. The
system use Scale Invariant Feature Transformation
(SIFT) algorithm for track each and every object in
the assumed indoor environment. And then using
cell based map identify the object location, user
location and provide navigate information to the
user for navigating to that object optimally. This
solution has been evaluated using several
experimental scenarios. Although the results are still
not enough to provide strong conclusions, they
indicate that the system is suitable for visually
impaired people as object recognition and
navigation system.
