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A kiosk device needs predictable behavior after power cuts and network drops. My Raspberry Pi setup starts from a minimal OS image with only the packages required for display and remote maintenance.
Timelapse projects become messy when image capture, storage cleanup, and rendering are manual. On Raspberry Pi, I run the whole flow as scheduled services.
Running AI inference on Raspberry Pi is possible, but stable operation needs careful pipeline design. Most failures come from bottlenecks in capture, preprocessing, or storage, not from the model itself.
