It could also be the diversity of testing as well. If the machine is tested to work with such dense hair from the beginning the algorithms can be adjusted.

Kind of like the Amazon facial recognition, [0] that really didn't work well on minorities, likely due to the training models used

[0] https://medium.com/@bu64dcjrytwitb8/on-recent-research-audit...