How TECNO Is Fixing Smartphone Camera Bias

[Science & Technology] 3.May.2026

Guests: Elva Zhou, Director of Image Quality Testing, TECNO; Laurent Chanas, Image Science Director, DXOMARK; Jon Devo, Photography Expert; Kaida Xiao, Professor of Colour and Imaging Science, University of Leeds and Andrew Bud, Founder & CEO, iProov

Smartphone cameras are more powerful than ever — bigger sensors, more megapixels, increasingly sophisticated computational photography. Yet for decades, the imaging systems behind them were calibrated around a narrow skin tone baseline, leaving billions of people inaccurately represented.

We go inside ‪TECNO‬’s push to change that with Universal Tone — a rebuilt imaging pipeline grounded in rigorous colour science, extensive field research, and global benchmarking in collaboration with ‪DXOMARK‬.

This is not simply about producing better photos. When skin tone is misrepresented at capture, that bias can carry into facial recognition, biometric authentication, and the AI systems increasingly embedded in daily life. In a world where images train algorithms and shape digital identity, accurate representation becomes foundational to trust.

As competition in the smartphone industry intensifies, the bigger question emerges: does inclusive imaging become the new standard?

Related videos