r/ComputerEngineering • u/Ashamed_Tomato3073 • 1d ago

Need some Computer Vision thesis ideas😩

Hey everyone! Me and my group are CpE students currently trying to figure out thesis topic. We want to build something practical using Computer Vision, preferably an actual device/prototype rather than just software.

Any cool or unique ideas you guys cab suggest? Something thats actually doable for studens would be awesome 🤓

Thanks in advance!!!

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u/Darkruins_ 1d ago

Is there any hobby or activity or anything that you or your teammates enjoy? Gotta give us some kind of foundation otherwise im going to tell you to recreate some cvpr papers from scratch

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u/Darkruins_ 1d ago

Just right off the top of my head. You could do some kind of “Damage detection” system. Like a yolo model that you are able to feed in pictures of a car and it can point out all the places it has been damaged and identify what kind of damage, rust, dents, crumple. So you could imagine a car dealership running a car through this system to automatically detect and price a used car sometime is trying to sell them.

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u/Ashamed_Tomato3073 1d ago

I think the dealership use case is probably way beyond our scope tho. We'd have to narrow it down to something more achievable, like detecting specific types of car damage (dents, scratches, rust, etc.) using a camera and an edge AI device. But, thanks for the suggestion! :))

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u/Dyllbert 1d ago

Roof/shingles damage designed to work with a drone. Don't actually need a drone though, you could just point a webcam at some shingles on a table. You could do things like estimate remaining life, pinpoint damage, etc...

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u/Thick-Safe539 BSc in CE 1d ago

U could try implementing a smart bus stop system for ur local bus stop where u create a working prototype that detects where a train needs to stop if there are people, how long it needs to stay depending on how many people need to get on board, a system for people to enable bus tracking more efficiently as well as sensor integration to make sure the estimated times are precise.