All IR starter Kits are ‘in the air’ and on their way around the world, including the ones requested this week.
We have completed updating the Getting started guide and have installed a website CMS, discussion forum & bug tracking system on our website. However, we don’t plan to expose anything on our website just yet.
We will continue to work through our task list for the remainder of this week.
We posted another update a couple of days ago covering many of these points, but it seems to have evaporated (Maybe I forgot to hit the ‘Post’ button).
We know some of the kits have arrived locally in Ireland. However, one backer reported that the packaging was ‘compromised’ but that the components were OK. He sent us some photos & we will now update packaging on all future kit shipments. If any backer experiences a problem with the packaging, email us and we will sort it out. We plan to post the next batch of kits over the weekend or early next week.
On the Raspberry Pi front we have learned some differences compared to Arduino. For what we are doing with AnalysIR, Arduino appears superior, which was initially surprising considering the 16MHz vs 700Mhz CPU speed. But apparently, it’s because Arduino is dedicated exclusively to IO & RPi is a linux based OS doing lots of other things simultaneously. I believe RPi may perform better with kernel patches or over-clocking, but we don’t want to go there yet.
Yesterday we got the measurement of IR modulation frequency working on RPi using GPIO. This may be a world first for both Arduino & RPi. The only downside is that we cannot decode the signal & measure the modulation frequency simultaneously on the RPi, which we can on the Arduino. So for now, we will just provide a command line facility on RPi for measuring modulation Frequency. We have also written a script to take the raw output from LIRC on the RPi and convert it to AnalysIR format via LAN, which means we can also use LIRC as a real-time recording mechanism on RPi. (In theory, it should be easy to extend this to every other Linux platform with LIRC installed)
One bonus with the RPi is that we can already decode & analyse IR signals over the LAN, a feature which the Yún will also provide via WiFi. We also read the blog post on the upcoming Arduino Yún release and can’t wait to get AnalysIR running on it…… The Yún should work out of the box, via serialUSB as it also has a Leonardo on-board and we will have to write up some small script to enable the WiFi part (Oct+ time-frame for WiFi).
Regarding our planned roll-out (circa 9th Sep), we plan to stick with a 2 phase approach as outlined on the main campaign page. If there are additional slots available for the initial phase we will contact backers directly. The reason is to avoid wasting time for 100+ people with a new release.
I would like to finish off by thanking you all for supporting AnalysIR.