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AI and Multispectral Sensors Could Solve Photography’s Skin Tone Problem [Video]

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AI Content Generation and Curation

Inaccurate skin tones have been an issue in photography for as long as photography has existed. Even as camera technology has improved by leaps and bounds, skin tone issues persist. Two technology companies may solve the problem once and for all, albeit inadvertently.

As Digital Camera World reports, Lululab and Spectricity are combining their unique technologies to develop image-based skin care analysis technology.

However, while not built explicitly for typical photography — unlike Google’s novel Real Tone for Pixel program which informed much better skin tone representation in Pixel smartphones — there’s something interesting happening here because for image-based skin care analysis to work at all, it must be highly color-accurate, something many photographers care deeply about. It’s impossible to deduce anything about skin dryness or redness if a device cannot accurately depict an individual’s precise skin tone, for example.

Like most things novel in the tech field, the collaboration relies on artificial intelligence technology. In …

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