Estimate weight from measurements from the sample data set.
The data set is very dirty because one asset can step in the platform while other asset is steeping out.
each asset is identified by a number.
The code will be run in an embedded system in "real-time" just keep enough data to do the segmentation, then, clear the memory.
The provided code is just an idea... you can be creative.
C++ implementation of a class with update method like the example in python, with other methods to get the weight/asset_id
The algo must return usable weight at least 20% of the times, that means, we get one valid weight out of four walks in a crowded situation.
no machine learning we dont have the target values precisely
The algo must consider when asset walks alone in the platform too(the easiest part)
Thanks for your posting. I think you can remember me. I hope I can help you based on a past project. Hope to discuss it in more detail via chat. Thanks. Milind.