Intel RealSense D435 + UP board bundle
Hello developers,
I am not able to see the find the Intel RealSense D435 + UP board bundle in the store. The bundle was for a concept I want to develop which involves object recognition and detection. Instead, I now find that the bundle consists of a NCS 2 replacing the UP board. Will it do the same job? And does it require another powerful processor to run or is it standalone?
Kindly help me.
Thanks in advance.
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Yes, the RealSense and Up Board bundle has been de-listed from the store. Up now offer their own kit in their store though with a more powerful Up Squared board. This kit includes an 'UP AI Core X' module that, like the NCS2, is powered by the Intel Movidius Myriad X VPU
The NCS2 is suited to machine learning applications, so it may be an appropriate choice if your application is object detection and Deep Neural Networks (DNN). I have not used one myself, though it looks as though it plugs into the USB port of a computing device such as a single-board computer or a laptop, rather than being standalone.
If you prefer the deal in the de-listed bundle, you could get a RealSense camera from the Intel store and an original Up Board from the Up Store.
https://up-shop.org/up-boards/272-up-board.html?search_query=up+board
The combined price should not be too different from the bundle price. You could also order both the Up Board and RealSense camera from the Up Store if you prefer to do it as an all in one order.
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Okay! Does this single-board computer need to be as powerful as UP board or does is it go with Raspberry Pi 3?
Because as of now we already have a Beagle-Bone Black 4G( https://in.element14.com/beagleboard/bbone-black-4g/beaglebone-black-rev-c-cortex/dp/2422228?st=BBONE-BLACK-4G) .
I know that this board is compatible with the RealSense camera, what I would like to know is whether is it compatible with the NCS 2?
My application: is object detection and converting the results of the detection to voice. So if the BBone Black 4G which I have mentioned above is compatible with NCS 2, we can develop a product very powerful since I don't have to worry about the computing power for machine learning and huge Data sets. Can you correct me if I am wrong?
Thank you for you response @MartyG
Thanks & regards
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If you are interested in using a Raspberry Pi then I would recommend the recently released Pi 4 Model B. It claims performance equal to a desktop PC and has USB 3 ports instead of the USB 2 of earlier Pi models.
https://www.raspberrypi.org/products/raspberry-pi-4-model-b/
Whilst I do not have a deep knowledge of NCS2, my observations through past cases have been that it works with a wide variety of different setups. My reading of the information in the RealSense store listing for the NCS2 is that it should work if you have one of these operating systems:
Ubuntu 16.04.3 LTS (64 bit)
CentOS* 7.4 (64 bit)
Windows 10 (64 bit)
Raspbian (target only)
Other (via the open source distribution of OpenVINO toolkit)
In regard to the application you have in mind: since the NCS2 can act as an accelerator for processing machine-learning data, it sounds like a good fit with your project. And as it claims to be low-power, that would also suit a development board like your BeagleBone.
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Hi Jerry, I have responded at the case that you opened. Thanks!
https://support.intelrealsense.com/hc/en-us/community/posts/5172990520339
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