While there are many machine learning-based drowning detection systems out there, I'm having a hard time finding solid information comparing their reaction time

While there are many machine learning-based drowning detection systems out there, I'm having a hard time finding solid information comparing their reaction time and accuracy rates to lifeguards. Does anyone have any solid research that they've found? I don't want to replace lifeguards or increase their workload by spreading them thinner, but want to find out if we complement them together whether or not it would increase detection rates and lives saved. However, if the current state of the art performs abysmally compared to lifeguards, then I have doubt whether or not they can be combined for improved outcomes. [1] https://www.google.com/search?client=safari&rls=en&q=machine+learning+spot+drowning&ie=UTF-8&oe=UTF-8 https://www.google.com/search?client=safari&rls=en&q=machine...