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Our group has implemented a warehouse order picking system on Google Glass.
Warehouse distribution is an incredibly large industry:
$1 trillion in goods pass through 750,000 warehouses worldwide each year.
Speed and efficiency are priorities for warehouses,
as customers expect their goods delivered promptly.
One of largest prohibitors of warehouse efficiency is order picking:
60% of total operational costs hinge on this activity.
Most orders are still picked by hand, often using paper pick lists.
Because order picking is a central process in supply chain management,
we want to improve the process and extend previous work to include a system implemented
on Google Glass.
Our system uses Glass’ graphical user interface
to provide hints to users about where to pick objects,
where to place objects, and whether an action is correct.
Finally, we intend to run a user study to compare the efficiency
and accuracy of using four different order picking methods:
tablet, SV-6, Epson Moverio, and Google Glass.
We developed an Android application using the Google glass development kit
that provides graphical assistance in order picking.
Here, you can see what the interface looks like as our user picks order and places them
in the correct bin.
Glass talks to a server running on Google App Engine.
The server has a list of tasks that it pushes to glass when the user is ready for a new
one.
Since we now have a working application on Google Glass,
we intent to run user studies that compare Glass' performance with an epson moverio,
SV-6, and nexus 7 tablet.
In our user studies, we will compare effectiveness and efficiency.
We will ask each of our users to conduct 10 trials with each device.
Our largest challenge was the lack of consistency between the four devices.
Each of run them Android, but different flavors.
The location of the display in relation to the user's eyes was significantly different.
As a result, we plan to run pilot studies to ensure uniform parameters.