And even if you get enough photons to, for example, recognize both black and white equally well in daylight, you might not at night or in a deep shadow indoors, or up close equally well but there will be some distance at which the advantage of more photons begins to matter, or some speed, or some combination of factors.
Any technological improvements will help, but there won't be any technological solution that will always work equally well with fewer photons as with more.
Plus human facial recognition is massively overpowered for normal cases. I think if you tested it in challenge cases (through blurry video, or snow, or in the dark, or at a distance), you might see darker skin tones being recognized less easily. It'd be an interesting experiment.
You can't display all of this range to people because of the limitations of display technology, but you can feed the full range to a facial recognition engine.
Security budgets might not stretch to top-end HDR equipment but the price keeps on coming down. The performance of a modern flagship phone is remarkable compared to a few years ago - and fixed surveillance cameras can have much bigger glass and sensors, making it cheaper to get super-human performance.
One new but related issue is that body-worn cameras can capture more low-light detail than the human eye. Police unions have argued against deploying these sensors, because, they want the evidential record to show what the officer could see - not what a cat could see.
While there isn't evidence that dark-skinned people have harder-to-recognize faces, there is also no evidence to the contrary.
It seems like the null hypothesis in this case, given no additional evidence, is to assume that darker images are indeed harder to recognize.
Citation?
Dark cars have more accidents- https://www.telegraph.co.uk/motoring/news/7845366/Black-cars...
There clearly will be a difference.
Whole careers are around making things more or less recognizable depending on color.
What study makes you think it's insignificant for human faces?
The linked study on cars is analogous at best, but doesn't prove anything for human facial recognition. Cars on highways and human beings in various settings are extremely different circumstances.