| Summary: | Before colonization, there were over 250 languages spoken in Australia. Today only thirteen Indigenous languages are still being taught to children.
Language has an important part to play in cultural maintenance and ‘closing
the gap’ in terms of First Peoples’ cultural heritage, identity, and sense of
belonging. In this work, we aim to develop an engaging and easy way to
teach and learn the local Indigenous names of wildflowers using a mobile
device. This paper presents the development of a phone application that
runs on a local machine, recognizes local wildflowers through its camera,
and plays associated sounds and displays associated text in the Noongar
language. The prototype mobile application has been developed with
MobileNets model on the TensorFlow platform. The dataset is derived from
Google searches, while the sound files are generated from label text by
running an apple script. UI and interactivity have been developed by using
Vuforia and the Unity game engine. Finally, the Android Studio is used to
deploy the app. At this point in time, the prototype can only recognize ten
local flowers, with 85%∼99% of accuracy. We are working with a larger
dataset towards developing the full application.
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