OLinuXino was designed with the idea everyone to may tailor it later to his own needs and now we start to see fruits of this.
When we announced the start of this project many people were comparing iMX233 with Raspberry Pi, Beagle Bone and was telling us that our Linux board is with so small amount of RAM and at lower frequency and that it would not be popular and people will have no much use of it.
The practice though proved that we were right with our idea big time.
Now every week we get messages from customers of ours who successfully implemented large scale projects based on iMX233-OLinuXino, as it’s reliable, robust, simple … and easy to re-produce.
Both Raspberry Pi and Beagle Bone use BGA processors which are troublesome to assembly in companies with limited resources, but even home amateur could arrange assembly in house of iMX233 based board with TQFP package.
One project which we learned is for web based water pool controller / data logger with potential of 50K units per year (do they really have so many in house pools in USA? I envy )
Another project was fleet management with GPS/GSM for vehicle logging with potential several thousands units per year.
Today we got message from Australia for project based on OLinuXino for Lighting in the Cloud http://www.theregister.co.uk/2012/10/12/vrml_pioneer_mark_pesce_invents_cloud_lights/
The interesting here is that this project first was based on the famous Raspberry Pi, but then they moved it to iMX233-OLinuXino-MICRO.
Why? Because OLinuXino is Open Source Hardware – once you make your project then you can customize it to your needs – something you can’t do With RPi.
Also since the big demand we read on element14 forum that RS Components didn’t deliver any RPi to their customers since July this year as Broadcom can’t ship them processors (!)
So if you need 1-2 boards to play at home RPi may give you more as specs, but if you want to make PRODUCT, OLinuXino is much more attractive as platform.
In the long term RPi wins the kids to play games at home, OLinuXino wins when you make Product and industrial apps.