Camera working and all ZED modules. Spent 3 days with ChatGPT 5.4 - extended thinking, on this problem, but getting nowhere, stumbling from one mud-pool to another. The user walks with a ZED2i (2.1mm lens, 4 if needed) camera in front, at hip height, so first 1.5 m path ahead cannot be read. Idea is to fuse frames (if needed) to measure and store an accurate roughness of the path. It will instruct the motor to lift a foot up higher, if a 10-15 mm obstruction could cause the user to stumble and fall. We tried everything, but are not even getting a proper floor in static indoor conditions, that even detects a thick plank on the floor… Any help to point us in the right direction would be immensely appreciated, as I am loosing faith ChatGPT can help… Have programmed in the past, but no experience with Ubuntu… but understand it when reading it. Thanks for any help, Jules.
Before I forget… The ZED2i is plugged in a Nvidia Orin NX 16Gb. The PY program is generated by ChatGPT5.4 plus extended thinking on a separate Ubuntu laptop 22.04…
Hi @Jules
I’m sorry for your bad experience with our device.
Can you please add pictures and/or drawings that describe your project, your setup, and your goal?
They will allow us to better understand the operational conditions and help you configure the camera to obtain the best possible performance.
It would also be useful if you could share the source code of the Python application.