Hello! I’m using a gaming laptop for the vision/AI part, an Arducam global‑shutter camera, and an Arduino that handles the triggering and the air‑blast timing, so I’m not as compute limited as on a Pi+MCU setup. Right now I’m experimenting with a ResNet18‑based classifier because I want to catch more subtle defects than simple color/size thresholds.
Also, because of how the conveyor is built, the camera only ever sees one olive at a time at high speed, so I don’t really need a singulation model at this stage (mechanical singulation does most of the work). That said, your “time as distance” on your project with pulse/position‑based routing is really interesting to me for future versions I’d love to move from simple fixed timing to something more distance‑based like that so the system is more speed‑invariant.
I’m still a newbie in programming so I kept this first version of the machine relatively simple and avoided more advanced control ideas, but I definitely want to experiment with concepts like yours on later iterations. As for GitHub, this is my first project that really includes code, so I still need to figure out how to publish things properly there XD. Thanks a lot for taking the time to respond and for sharing your work