Strategy 1 - relay stream to high-powered server for processing
to relay the stream to another server, you can also reference the great project from @Hugues.
Strategy 2 - Process Inside the RICOH THETA Camera with Plug-in
Projects that use OpenCV or FastCV inside the camera:
Note that FastCV is a free library that uses the Qualcomm Snapdragon hardware acceleration. The RICOH THETA V and Z1 use the Snapdragon hardware and run Android OS inside the camera.
- Authydra
- FastCV Painting
- THETA Magic Filters (with GitHub Repo)
- FastCV on RICOH THETA article
Strategy 3 - Process with small board Linux computer attached to RICOH THETA with USB
The NVIDIA Jetson Xavier has a 512-core Volta GPU with Tensor Cores and an 8-core ARM, 16GB of memory with 4K H.264 hardware encoder/decoder. It may be enough to process some of your computer vision requirements.