Hi everyone! I’m doing my university final year project on a robot that deters foxes (and maybe cats 😉 ) from peoples gardens! The general plan is to use an artificial neural network to detect foxes from a camera feed. I’m guessing I need night vision data, because they tend to show at night… Anyone know where i can get training data from? Would splitting down a video into frames work as training data? (probably a stupid question, but how would i even do this!)

The initial idea was to have this running on a raspberry pi and i’m not sure if this would this even be possible because of the limited processing power?

Also I’d need a way of testing this! But i’m not allowed to use real animals (not that i could find and use a fox anyways!), Would toy stuffed animals work? But this i’m guessing would not work if I use night vision images in training my model.. I’m not sure

Does anyone have any experience in real time computer vision and advice on how to proceed!

Any help would be appreciated 🙂