[navigation]
Seasonal color analysis upgrade
Banuba was the first company to successfully automate seasonal color analysis - a technique popular among makeup artists around the world. It helps determine a person’s color type or “season” (Autumn, Spring, Summer, or Winter) based on their skin tone, hair color, and other parameters. Our neural networks can handle this just by looking at the user’s photo or video – a very convenient feature for online stores, especially when paired with virtual try-on.
The latest update has made the process more accurate by detecting the light source location and adjusting the analysis accordingly. Your users will enjoy the precision it provides.
Teeth whitening improvement
Face AR SDK has supported virtual bleaching based on the tone guide standard for the dental tech industry. This version makes teeth detection more accurate (less chance of skin being affected by the whitening effect) as well as improves the speed of the entire process.
Face detection and tracking upgrade
Banuba has already boasted one of the most precise face detection and tracking on the market. With the recent update, this aspect of Face AR SDK has improved further. As it already handles regular situations well, most of the new updates were focused on corner cases.
General performance optimization
Substantial work went towards making Face AR SDK run smoother. This includes loading effects faster, better processing of video textures and more accurate placement of beauty effects.
-
The official technical documentation for Banuba Face AR SDK is available online and includes requirements, setup instructions, and configuration details:
- Banuba Face AR SDK iOS documentation
- Banuba Face AR SDK Android documentation
- Banuba Face AR SDK Flutter documentation
- Banuba Face AR SDK React Native documentation
- Banuba Face AR SDK Web documentation
- Banuba Face AR SDK Unity documentation
- Banuba Face AR SDK Desktop documentation
This Banuba Face AR SDK documentation should be your primary reference during integration.
-
You can access official integration code samples for the Banuba Face AR SDK on GitHub. Banuba provides platform-specific examples to help you integrate faster:
- Banuba Face AR SDK iOS integration code sample
- Banuba Face AR SDK Android integration code sample
- Banuba Face AR SDK Flutter integration code sample
- Banuba Face AR SDK React Native integration code sample
- Banuba Face AR SDK Desktop integration code sample
- Banuba Face AR SDK Web integration code sample
- Banuba Face AR SDK Unity integration code sample
These Banuba Face AR SDK repositories include setup instructions and minimal working examples for quick deployment.
-
Yes. The Banuba Face AR SDK includes an LLM-friendly documentation file designed for AI-assisted development and internal knowledge systems:
This structured Banuba Face AR SDK text file can be used with AI tools to streamline onboarding and developer workflows.
-
The Banuba Face AR SDK provides official cross-platform plugins to simplify integration into hybrid applications:
These Banuba Face AR SDK plugins are maintained by Banuba and support faster implementation for cross-platform apps.