Home Case Studies AI-Enhanced Facial Analytics for Next-Gen Beauty Devices

AI-Enhanced Facial Analytics for Next-Gen Beauty Devices

A global geospatial leader

Launched in March 2024, the product integrated our models, achieving key-point detection with an error margin of less than 20 pixels on ~2000×1200 pixel images.

Meet our client

Client:

A global geospatial leader

Industry:

Healthcare / Pharma

Market:

US

Technology:

Computer Vision

Client’s Challenge

The client was developing an advanced beauty device capable of delivering comprehensive facial analytics using precision cameras and 3D reconstruction at wrinkle-level detail. They sought a team responsible for creating the deep learning models.

Our Solution

We developed three deep learning models – one for detecting facial key points, another for segmenting over X facial features, and a third for identifying and assessing wrinkles. These models were integrated into the device, enabling accurate 3D facial reconstructions and detailed skin analysis from high-res images.

Client’s Benefits

Launched in March 2024, the product integrated our models, achieving key-point detection with an error margin of less than 20 pixels on ~2000×1200 pixel images. The solution precisely segmented facial features and accurately detected wrinkles, positioning the client at the forefront of facial analytics in the beauty industry.

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