Yes, this sounds like a perfect use case for the BeagleBone Black, a 
webcam, and OpenCV. Take a look at 
this: 
http://derekmolloy.ie/beaglebone/beaglebone-video-capture-and-image-processing-on-embedded-linux-using-opencv/

A few things to consider:
-Depending on the duration and resolution of the video, you may need to 
hook up something like an external HD or high-capacity SD card to store 
everything. The BBB Rev C only has 4GB out-the-box, which is shared with 
the operating system.
-The BBB has a 1GHz processor, which could have trouble performing computer 
vision algorithms in real-time. You may need to write the video straight to 
disk, then have a separate process perform the algorithms on the recorded 
video. 

On Sunday, August 24, 2014 8:27:10 PM UTC-7, PRABHJOT SINGH wrote:
>
> Hello Everyone!!
>
> We are working on an application that requires the continuous monitoring 
> of camera output implemented on a stand-alone embedded system, without 
> using a PC
>
> https://www.youtube.com/watch?v=XCsXgCqdAzk
>
> The video shows a powder kept in a tube that liquefies due to its internal 
> reactions over a period of time. 
>
> We wanted to analyze this change in state of the powder.
>
> The processor should be able to capture and analyze the images (video 
> stream), during the reaction period, for the change in state taking place.
>
> We want to track the changes in the video frames to analyze the change in 
> the state of the powder without using an additional PC
>
> If Beaglebone Black will be suitable for such application?
>

-- 
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