[Elphel-support] Questions about Elphel 323 Sensor Board

[Elphel Support]

Nick,

We may have the power supply bare PCB (no components), and it is designed specifically for the 323 camera, so there is no replacements. If I understand correctly you have 2 boards (analog and FPGA)?

I would still recommend to use 10353 (we should have some) and its' existing software (for 363 that we have one as a reference) - designing a completely new system around NVIDIA would be a really huge job, even to make it program FPGA can be somewhat tricky. 

Andrey



---- On Thu, 16 Apr 2020 00:39:31 -0600 Nick Duvoisin <mailto:nduvoisin at gmail.com> wrote ----


Hi Andrey,



Thanks for the quick response!  It looks like it will require a 1D20325 power supply board in addition to the 10353 processor board.  Do you still have any of those available?  If not, are there any other power supply boards that could be used in lieu of the 
1D20325?



Also, is there any documentation on how to interface with these sensor boards?  It would be interesting to try and use an NVIDIA Jetson Nano (https://developer.nvidia.com/embedded/jetson-nano-developer-kit) to drive the sensor board.  I know that replacing FPGAs with GPUs is a trend for certain imaging applications.



Nick



On Wed, Apr 15, 2020 at 12:07 AM Elphel Support <mailto:support-list at support.elphel.com> wrote:




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Hi Nick,

I believe it also needs other boards - I need to check, these boards were made before we started http://wiki.elphel.com and put there documentation. These boards docs are here:

http://legacy.elphel.com/3fhlo/
The 323 cameras used older 10313 boards (2 of them as the bandwidth of the older ETRAX processor was insufficient to provide required 1/1.5s frame rate.
It is possible to build model 363 camera that uses 1 10353 instead of the 2 10313 - https://wiki.elphel.com/wiki/353_legacy
We do have 10353 boards, but not the other ones. And have one 363 camera so we can probably check what software is there

323 cameras were operated with JP4 encoding (https://community.elphel.com/jp4/jp4demo.php) that was developed specifically for that purpose - no de-Bayer in the camera. The same was used in the Street View R5 (https://en.wikipedia.org/wiki/Google_Street_View), it is shown on the picture there called "A Google Street View trike" - large black octagon that provided first high-res imagery.
 And we still use JP4 this format in all our current cameras. Internally it uses the same JPEG engine that we implemented in the FPGA, just reorders pixels. The JPEG quality can be set to any value, including 100%

Andrey


---- On Wed, 15 Apr 2020 00:42:28 -0600 Nick Duvoisin <mailto:nduvoisin at gmail.com> wrote ----


Hi,



I recently ordered a sensor board from the Elphel 323 camera off Ebay and had a few questions about getting it up and running. The board has the Kodak KAI11000 CCD sensor and has model number 1A20324 Rev "A".  I'm a software engineer, so you can be technical in your responses.



This particular sensor board contains both the FPGA-based timing/interface module and the analog sensor front-end, correct? (I can see a Xilinx Spartan FPGA on it)


>From a hardware standpoint, all I need to create a functioning camera is a 10353 processor board, power supply, and injector cable, correct? (besides a housing, lens mount, and lens)


Do you still sell the 10353 processor board, or will I have to have one made from the Gerber file and parts list?


For the software, it looks like the x353 repository on GitHub contains the Verilog to create the BIT file for the FPGA.  But where can I find the Linux-based webserver software that allows me to control the camera over Ethernet?  It looks like the linux-elphel repository contains this software for the 10393 board only.



My ultimate goal is to create a camera based on a monochrome full-frame CCD sensor that does not apply a demosaicing  algorithm to the raw pixel data.  Much like a Leica M Monochrom, but with a Canon EF lens mount.  I realize this will take a long time to complete, but I'm looking forward to the challenge and learning more about how image sensors work!



Thanks,

Nick



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