This User Guide describes how to configure and utilise omaya 2.0 location based system. Those responsible for managing Omaya System intend this guide for use. Consequently, it assumes a basic working knowledge of local area networking, wireless networking and wireless devices.
Omaya is a location based platform helps you understand how people move around your venue. The paths they take, choke points, entry or exit points and even queue lengths are not only possible but also made easy with it.
Conventions in Text
We use various conventions in text to help you more quickly identify special terms. The following table describes those conventions and provides examples of their use.
|Bold||Bold typeface indicates terms that are defined in the text or terms that appear in a glossary, or both.|
|Italics||Italic typeface indicates emphasis.|
Conventions in Icon Graphic
Omaya uses a common icon to represent a function
|Edit an entry|
|Delete an entry|
|View an entry|
|weekly view of entry|
Omaya administration platform consist of few pane
Navigation pane for navigation menu to access a operation or module within Omaya administration platform.
Main screen: the main display of module and function
if you have large data to compute, a waiting screen will be displayed, please wait until the compute is complete to review your data
There are a few key terminology used by omaya system, please get accustomed and familiar to the term for ease of operating omaya. The condition for the users associated with the correct term can be set by venue device screen.
Users – mobile device with wifi chip detected , each device is assumed to be one user, while the trend of single user with multi device is in trend its only minimal users having more than 1 mobile devices
Pass by – Users detected walk by at venue
Visit – User who is detected nearer to sensor
Engaged – total no of user that dwell at venue more than no of minutes thus is converted from pass by to engaged
Daily loyalty users – users who is detected by system 5 days out of 1 week.
Weekly loyalty users – users who is seen more than 4 days a month
Bounce rate – users who spend less than 5 minutes
Churn – the relative number of user that appear and disappear during a time window
Dwell Time – determined the amount of queuing or the average time spend in zone or outlet
Crowding factor – determined the potential bottlenecks or where extra resources are needed
Dominant direction – the most typical direction of travel through an area by users
New visitor – user who is detected 1st time at venue
Repeat visitor – users who is detected within venue 2nd time the next day onward
Device state – all mobile device emit wifi signal , the frequency of signal emitted are based on the state of the device
|Device state||Probe/emit request interval|
|Asleep ( screen off )||~once per minute|
|Standy (screen on )||10 ~ 15 times per minute|
|Associated with SSID||varies , but higher frequency.|