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Finding the perfect algorithm for 2dFeatures real time feature detection/matching

Hello OpenCV Community, I am relatively new to the world of opencv and try to do a project with following requirements:

My robot has to detect a picture in his fixed field of view out of a local database of 200 pictures The camera angle is in a 45° angle and has a fixed height. The images are all presented at a fixed distance but can be presented in a different rotation. The hardware resources are extremely limited and i would like to run it on a raspberry pi in real time at around 5 fps The goal would be to get even cheaper hardware like an Ingenic Chip or an Allwinner one.

My question therefore would be, if there is a perfectly lightweight and 100% failsafe algorithm for this!

I thank you for your help