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Co processor Question
Looking into purchasing a co processor for vision detection, any recommendations? +1 if it's easily compatible with GRIP.
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Re: Co processor Question
If you want to use GRIP than your best best is an r-pi 2.. not sure of the processing power on that though
if you'd like to use CV, than you can go with a beaglebone or TK2 |
Re: Co processor Question
Kangaroo PC
It comes with full 64-bit Windows 10, twice the RAM of a Raspberry Pi, a 32 GB SSD, and an internal battery. It's a little pricier, but well within the limit for a single component. You can also probably get a 10% education discount. |
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Ever looked at this? http://www.em.avnet.com/en-us/design...arter-Kit.aspx
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We were thinking of doing the vision processing on the Driver Station. The video will be fed to the DS for driving purposes, so no additional wifi traffic.
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Is there a co-processor recommendation for use with LabView?
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Odroid c1+, same price as the raspi but also runs linux and has a gpio that is the same as raspi, very good board for the same price.
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The team I'm mentoring intends to do all of our vision on the roboRIO. Coprocessors bring extra MIPs, but also extra complexity and points of failure. So it is worth considering whether the coprocessor is the right approach for your team. Greg McKaskle |
Re: Co processor Question
Currently working with the ODroid XU4 with Ubuntu 15.04 32bit.
Mounted in the ODroid default case with 16GB of eMMC. 8GB free for this work and 1.3GB of RAM with Mate running. Thought the Kangaroo might be a good alternate as well have one on my desk. The battery in the Kangaroo is attractive. The ODroid's 8 cores draw 3A at 5VDC (measured with Fluke meter on 100ms max recording mode) with Belkin WiFi, wireless keyboard and a USB camera attached by USB. That is within reach of the old D-Link radio DC/DC converter. Thing is: I worry that a dip below 8VDC might cause a reset so we might put a low drop out DC/DC stepup booster to 15VDC or 18VDC before that D-Link DC/DC converter. That adds volume and weight to the ODroid which would otherwise be smaller than the Kangaroo. Not sure if we field this frankly. For the last several years I invested in vision related hardware and often it did not get on the robot even if it worked. We are student led so if they choose to not follow through it is their choice. I just provide the investment. Personally I like the modularity of doing the video and camera capture on the coprocessor. If they ditch the idea you just take it off. |
Re: Co processor Question
The Beaglebone Black is a great coprocessor, with more than enough power for vision tracking.
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