Haut.AI develops advanced technology that uses artificial intelligence to provide detailed skin analysis and personalised skincare recommendations. The process begins with consumers taking high-quality images. Once an image is created, it is sent to the cloud for processing, where Haut.AI’s proprietary anonymisation technique strips these facial images of all personal identifiers and non-skin-related data, leaving only the essential skin pixels for analysis. The anonymised photos are then analysed to generate personalised skincare recommendations, completing the secure and user-friendly experience.
Haut.AI’s patented “Skin Atlas” anonymisation method involves several steps to ensure high data privacy standards. Firstly, facial keypoints are detected to standardise the image, followed by the separation of skin pixels from non-skin pixels, which is crucial for accurate analysis. The system then generates photo-realistic skin patterns to fill the non-skin areas, creating a fully anonymised image. This process eliminates irrelevant data, such as hair and background details, ensuring that only pertinent skin information is analysed. By transforming the images into a “Skin Atlas” format, the system allows for rapid and secure processing, significantly improving both privacy and processing speed in facial image analysis.
“‘Skin Atlas’ enables users to confidently share their images for analysis, knowing their personal information is protected. The anonymisation process ensures that all identifying features, such as eyes, mouth, hair and background details, are removed, focusing solely on the skin. This safeguards privacy and also enhances the accuracy of our skin assessments by eliminating potential biases from non-skin-related information. We are excited about the potential of this technology to provide more secure and accurate skin diagnostics, ultimately benefiting both users and professionals in the skincare industry” explains Anastasia Georgievskaya, CEO of Haut.AI.
While facial anonymisation technologies are not new, common methods—such as blacking out eyes or applying rectangles over facial features—introduce significant issues for AI processing. These techniques create abrupt edges that disrupt the analysis, causing neural networks to misinterpret them as artefacts. This leads to a higher error rate, particularly when important skin areas are obscured along with the facial features. Skin Atlas, utilising generative AI, creates anonymised images without these abrupt edges, allowing algorithms to process the data smoothly and accurately, free from the errors.
This innovation is set to significantly impact various sectors. In clinical skin analysis settings, Haut.AI’s technology enhances study participants’ privacy while providing precise skin assessments. In the e-commerce sector, it enables personalised product recommendations without compromising user data. By prioritising data privacy, Haut.AI sets new standards in the skincare and beauty industry, fostering greater consumer trust and confidence in using digital skin analysis tools.
