[yolobey]

Hope it'll ship with better support that the first Jetson. The one they marketed with all that AI/Machine Vision stuff and then shipped without a camera driver.

This is just following Google's Edge TPU, which probably competes with a Raspberry Pi + Movidius stick. The market there is getting interesting.

[dheera]

This. And all of the third party camera solutions for TX2 cost $500+ when equivalent USB cameras with the same sensor cost $50. They really need to get their act together and sell some NVIDIA-sanctioned camera solutions at scale, and at price points similar to Raspberry Pi cameras.

A lot of third party carrier boards also have a complete sh_tshow of connectors. Auvidea's boards, for example, ship with a Raspberry Pi camera connector, but Raspberry Pi NoIR cameras don't have TX2 drivers, and there are hardly any other cameras that ship with that connector.

Seriously, NVIDIA: Please sell a TX2 devkit that has six non-weird 2-lane CSI connectors and some IMX290 or AR0521 or any other commonly-used robotics sensors for $100 each that plug in and "just work". It would make a lot of people happy to have something to at least start with, and pave the way for third party options to follow the same form factor, connectors, pinouts, board sizes, and so forth.

[remyM]

They've actually fixed this hopefully this time around.

According to their blog post it actually has driver support for the RPi CM2 8MP (IMX219) and they'll be releasing their own Nvidia-sanctioned cameras available from their partners.

It should hopefully just work. No lowlight options at this time however, which means external CCTV is out of the question :(

[dheera]

Cool. Well hopefully some third parties will now create cameras all in the same form factor with the same pinout so that the choice of carrier board and camera can be independently made.

[0xfaded]

I'm actually hoping that 3rd party carrier boards standardize on the weird 6 csi connector thing, and was a little saddened to see that nvidia's devkit for the nano doesn't use it :(.

I bought a tx2 carrier from connecttech, and half their tx2 boards use a 30 pin connector used by leopard imaging, and the other half use the same ribbon connector that the nvidia devkit uses for its camera. I have $600 worth of camera which doesn't fit the carrier I chose ::face-palm::.

Their xavier carrier, http://connecttech.com/product-category/form-factors/nvidia-..., uses the same connector as the tx2 and xavier dev kits.

[LeifCarrotson]

What's the market or use case for these camera drivers? It seems like the fancy direct-to-chip camera connections and driver development would be better aimed at sensor manufacturers, not hobbyists trying to build simple vision algorithms.

Why wouldn't you use the Ethernet port with a traditional GigE camera? I've also done some simple projects using an ordinary USB webcam.

I'm interested in this as a small form factor industrial computer. I've run Raspberry Pis and Intel NUCs in lots of manufacturing equipment where you need something that can run a few lines of Python and sit between the PLC and your device. Given this board's processing power, it might be interesting to plug into a little Dalsa or Basler camera and run a vision algorithm. You can already buy simple "vision sensors" from Keyence, Banner, Sick, etc. that integrate what I understand to be a simple ARM chip with the vision sensor and run basic vision algorithms, but they're often hamstrung by the tooling. The ability to perform and communicate results of arbitrary commands in applications where you don't need lots of processing power would be great.

What camera applications are people builidng that need 1.5 Gbps of camera data? I've built assembly lines that build several parts per second and never even come close to being limited by frame rate or network bandwidth.

[zamadatix]

I ordered a Coral USB accelerated (Edge TPU on a USB) to tinker with for the novelty and it just arrived this afternoon. I will say one giant gap between these two is Google's Edge TPU based products only support TensorFlow Lite.

[TaylorAlexander]

Yeah! Looks exciting. I will say that the Raspberry Pi is USB 2, so bandwidth between , say, your camera and the Movidius Stick is limited. The google device and this one should have proper high bandwidth interfaces.

[Narishma]

Doesn't the Raspberry Pi camera use the CSI connector? If not, why?

[TaylorAlexander]

It does, but the movidius stick is USB.