TECNO launches “Universal Tone” – Multi-skin tone photography technology that truly reflects everyone in one photo | Business information

by time news

2023-10-31 16:02:00

Revolutionizing skin tone photography technology on smartphones, TECNO celebrates the diverse beauty of people with the launch of the “Universal Tone” multi-skin tone imaging system.

HONG KONG, Oct. 31, 2023 /PRNewswire/ — TECNO, a global pioneer in mobile imaging technology, is proud to introduce the latest groundbreaking leap in camera technology, TECNO Universal Tone – the The most advanced multi-skin tone imaging technology using AI integrates the industry’s latest insights and spectral databases. This technology was developed in-house by TECNO and has been improved through joint research and development in partnership with color science experts from the world’s leading universities, with newly available data. Collection and analysis from scientific research are integrated into the system. Universal Tone technology debuted in the stunning short film “Portrait For Everyone” produced by BBC StoryWorks on October 25.

The goal of creating TECNO Universal Tone was to capture images with realistic and accurate colors and textures of all skin tones for smartphone photography. This technology truly showcases the unique beauty and texture of every skin tone, while creating fully optimized portraits that cater to consumers’ individual desires.

Jack Guo, General Director of TECNO said: “TECNO always considers technological development as a way to bring consumers a more positive mindset about society and the future. TECNO Universal Tone is the embodiment of our mission. This technology uses a rigorous scientific, data-driven approach to drive photography to produce more accurate images and ensure a truer reflection of people’s diverse beauty. used worldwide. This way, we ensure that every face appears in a photo.”

TECNO Universtal Tone technology combines three engines into one unified engine: Multi-Skin Tone Restoration Engine, Local-Tuning Engine and AI-powered Computational Portrait Engine.

Multi-Skin Tone Restoration Engine represents a comprehensive pinnacle in skin tone imaging technology with a more scientific approach than previous AI-powered skin tone technologies. This tool uses the largest recently assembled diverse spectrum database, specifically covering skin tones often overlooked in the industry, with extensive, advanced academic research methods multiple skin tones to eliminate bias in technology. This technology helps create a comprehensive skin tone scale and fine-tune algorithms to represent accurate skin tones. Local-Tuning Engine is specialized to adjust images for diverse real-life situations. This tool will thoroughly evaluate the local environment, lighting conditions, topographic landscape and color temperature to achieve a harmonious and perfect image of people and surroundings. Each adjustment solution is tailored for different regions and countries to capture the essence of each locality.AI-Powered Computational Portrait Engine applies self-developed algorithm and portrait system platform by TECNO to create personalized and local portrait photography experiences. By taking into account local cultural and aesthetic preferences, facial features and skin tones unique to each region, this computational portrait platform provides tailored portrait enhancement solutions. fit. These include improved accuracy of skin tones, skin textures, optimized skin tone photography and enhancements to the individual’s unique beauty, ensuring that the portrait reflects Personal beauty from a psychological perspective.

Working in harmony with each other, these three engines deliver the best performance for TECNO Universal Tone. First, the Multi-Skin Tone Restoration Engine corrects and enhances different skin tones. The Local-Tuning Engine then assists in reconstructing facial tones and analyzing the surrounding environment to reproduce shadows, achieving optimal results for each area and situation. Finally, the AI-Powered Computational Portrait Engine applies a personalized and customized algorithm to match the area’s insights and aesthetic preferences. This includes keeping unique features like birthmarks and birthmarks intact, while enhancing facial contours, creating natural, three-dimensional and textured portraits.

Dr Kaida Xiao, Associate Professor in Color and Imaging Science at the University of Leeds, who advised TECNO during the development of Universal Tone: “TECNO and I took a data-driven approach to develop Developing accurate color tags for each skin tone in Universal Tone technology means users will no longer have to accept overexposed or desaturated skin tones caused by biased data. What we do has enabled us to objectively and accurately train Universal Tone algorithms, so users will be able to capture photos that celebrate true diversity.”

Finally, TECNO Universal Tone ensures that when multiple people with different skin tones appear in the same frame, each individual’s skin tone is accurately recognized and beautifully optimized . In contrast to many other smartphone photography technologies, Universal Tone’s “personalized” portrait photography not only respects the original characteristics of different skin tones but also focuses on An important psychological aspect in portrait photography, thereby helping users feel like themselves is reflected in the image. Overall, Universal Tone sets a new industry standard through its ability to capture the beauty of diversity, celebrate individuality, and deliver authentic portraits that truly reflect our common humanity.

As a user-centric brand with a globalization strategy, TECNO adheres to the “Persistence to the End” philosophy to constantly pursue new technologies that deliver the best possible experience. The development of the TECNO Universal Tone marks another milestone in the brand’s journey to create a more inclusive smartphone industry and underscores its steadfast commitment to innovation that improves and enhancing the lifestyle of users around the world.

SOURCE TECNO Mobile Limited

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