Classifying objects in video without machine learning
You could try SIFT (Scale-invariant feature transform) to recognize the labels on the bottles. Althoug you need some preprocessing, just for comparing the labels on the bottle and to distinguish the different brands it should work.
Also it could get kind of complex (if you show the bottles from behind and the brandlogo is not visible). So you maybe have to extract features from many perspectives of the bottle.

Here is one example: https://towardsdatascience.com/bibirra-beer-label-recognition-8546c233d6f4