Imageidentify on Rapsberry PI

Questions
1

Hello everybody,
I’m new to this topic, although i’ve used the Wolfram alpha webpage on various occasions.
I saw an article on Gizmodo about Image identification using the wolfram engine (the webpage) and I thought I will use it for a school project.
What I am trying to achieve is to use a rapsberry pi (mounted on an Rc car) to identify the world and map it (it also has a gps).
I’ve installed the wolfram engine and tried to identify the objects taken with the camera.
I’ve used the documentation here:

As I have only the CLI interface, I cannot see the outputs and inputs graphically. (Being a project that has to be mobile, I don’t want to be running a gui.)
This is what I’ve tried:

In[3]:= camImage=Import[ "!raspistill -ss 1000 -t 10 -w 1024 -h 1024 -o -", "JPG"]

Out[3]= -Image-

In[4]:= ImageIdentify[camImage]

Out[4]= ImageIdentify[-Image-]

I’ve expected that on the output, I receive the textual description of the object, instead I am only getting the string above (Out[4]).
I’ve also tried using a jpg stored locally, but with the same results.
Note:! As this is run in a command line interface, there is no way to see any graphical image…

Am I doing something wrong ?
Thanks in advance!

2

ImageIdentify is new in version 10.1, while the latest available Raspberry Pi pilot release build is 10.0.2.

3

Oh.. I see.
Thanks for the answer. I didn’t thought about that.
I know this is a standard question, but is there an estimation when will the new release available on the Raspberry platform ?
I’m asking this, as there is a deadline when I have to finish the project.

Another thought:
I could use curl and some other script combinations to upload an image to the www.imageidentify.com website, and parse the result.
I saw however that there is a javascript doing the upload job.
I’m only familiar with POST-ing the jpg file…
I will have to research a bit, but if anybody here has knowledge in how to do it, then any help is greatly appreciated!!

4

So in the end I’ve managed to implement the project by using a linux machine that had version 10.1 .
The raspberry connects wia ssh and executes a wolfram script and returns the result to the host machine.