NAIROBI, Kenya Aug 11 – For years, smartphone cameras have promised sharper photos, better night shots and more realistic portraits. But there is a bigger question the industry has often avoided: Do these cameras really capture everyone’s skin the same way?
That question is now at the centre of TECNO’s push to change smartphone photography through its Universal Tone technology.
The technology tackles a long-standing problem in photography — the difficulty cameras and image-processing systems have had in accurately reproducing darker skin tones, particularly in challenging lighting.
For many users, the problem is familiar. A photo can make dark skin appear too dull, grey, overly red or lacking in detail, even when the person looks perfectly natural in real life.
TECNO says its approach goes beyond simply adding another camera feature.
At the heart of the system is a colour reference database built around 372 different skin-tone patches, significantly expanding beyond the traditional 24-patch colour reference that has influenced photography for decades.
The aim is to give imaging systems a much broader understanding of human skin.
The technology focuses on skin tones across regions including Sub-Saharan Africa, South and Southeast Asia, the Middle East and Eastern Europe — markets where darker and more varied skin tones are common.
This matters because a camera cannot accurately reproduce something it has not been properly trained to recognise.
TECNO’s Multi-Skin Tone Colour Restoration Engine is designed to address problems such as overly dark skin in low-light conditions and unnatural reddish or ashy tones under artificial lighting.
The problem goes deeper than smartphone hardware.
Photography has a long history of relying on colour references that were not designed to represent the full range of human skin tones.
As photography moved from film to digital cameras and eventually artificial intelligence, some of those limitations continued through the data used to train imaging systems.
When AI systems are exposed to more examples of lighter skin than darker skin, they can struggle to determine what an accurate image should look like across the full range of human complexions.
That can result in portraits where detail disappears from darker areas or image processing changes the natural appearance of a person’s skin.
TECNO’s argument is that fixing the problem requires more than increasing megapixels or adding a larger camera sensor.
Its system combines the expanded skin-tone reference with colour restoration and local tuning designed to account for different lighting environments.
That is important in markets such as Kenya, where the same person could be photographed under bright Nairobi sunshine, indoors under artificial lights or outside during the evening.
Different environments create different imaging challenges.
A camera that performs well in a controlled laboratory setting may still struggle when faced with the complicated lighting conditions people encounter every day.
The push is particularly relevant in Africa, where smartphone photography has become part of everyday life.
People use their phones to capture family moments, weddings, celebrations, work events and social-media content.
For them, accurate skin representation is not simply another technical specification.
It is about seeing themselves in photographs as they actually look.
TECNO’s focus on African and other diverse markets therefore puts its Universal Tone technology in a different conversation from the usual smartphone race over megapixels and zoom levels.
The bigger question is whether smartphone technology is finally becoming more inclusive.
For years, smartphone brands have competed over numbers — megapixels, zoom levels, sensor sizes and processing speeds.
But the next important camera battle could be about something less obvious: how accurately a phone represents the person standing in front of it.
TECNO’s Universal Tone approach suggests that colour accuracy and representation could become just as important as traditional camera specifications.
And if the technology delivers consistently across real-world conditions, it could force the wider smartphone industry to rethink how it approaches colour, skin tones and AI-powered photography.
