Appearance
What is LIQA?
LIQA gives clients a ready-to-use smart camera experience for collecting standardized, high-quality photos inside their own web or native applications. It helps your users capture the right image for skin, face, or hair analysis while your application receives a consistent photo output for the next business step.
Use LIQA when you need to:
- guide users through photo capture without building your own camera UX;
- improve image consistency before sending photos to Haut.AI analysis workflows;
- customize the capture journey, language, and branding for your application;
- keep the technical integration lightweight while receiving automatic LIQA updates.
LIQA™
LIQA is developed by Haut.AI.
LIQA stands for "Live Image Quality Assurance".
LIQA is pronounced like "Lee-ka".
Client use cases
LIQA is most often used in applications where the captured image quality directly affects the reliability of the analysis result or recommendation shown to the user.
| Use case | How LIQA helps |
|---|---|
| Skin and face analysis | Guides the user to a well-positioned, well-lit face image that is ready for Haut.AI Face Application processing. |
| Multi-angle face capture | Collects front, left, and right face images in one guided flow for use cases that need more complete face coverage. |
| Hair analysis | Provides a preset flow focused on visible, well-lit hair images. |
| Desktop-to-mobile capture | Lets desktop users continue capture on a phone when their laptop camera or lighting is not good enough. |
| Branded embedded experiences | Lets your product team tune copy, visual style, tutorials, and capture sources while keeping LIQA's capture logic intact. |
Key design principles
- LIQA is web-first: the primary integration is a JavaScript web component.
- LIQA is mobile-first: production capture is designed for modern smartphones with good cameras.
- LIQA is configuration-driven: your application passes settings for presets, sources, language, style, and optional features.
- LIQA is output-focused: your application receives standardized
ImageCaptureobjects and decides how to store, upload, or analyze them.
How LIQA works
- LIQA component is embedded into any application.
- Follow the Quick Start guide for web integration;
- Follow the Native Apps Integration guide for mobile integration;
- LIQA component accepts the customization configurations from the parent application as an
inputevery time it is started on the user device.- Follow the User Flow customization to customize the user flow;
- Follow the User Interface customization to customize the user interface;
- LIQA component starts the user session, where the user is guided to take a high quality photo of a specific body part.
- Follow the FAQ about standardized images to understand the concept of standardized images;
- Follow the FAQ about user session to understand how LIQA user flow is designed during the interaction with the users;
- LIQA component returns the collected standardized image as Image Capture object to the parent application as an
output.- Follow the Quick Start guide for the default image capture;
- Follow the Advanced Usage guide for the advanced image capture (important for native applications);
- LIQA component receives automatic updates from Haut.AI including bug fixes, new features, and improvements.
- Follow the Changelog to stay updated with the latest changes;
- Follow the Going Live guide to make sure your application is ready for the production use in accordance to best practices of using LIQA.
What LIQA is not designed for
Production usage on desktop ❌
LIQA is designed to be primarily used on modern smartphones.
Mobile devices usually have high quality cameras and high computational power, combined with the mobility and ease of use. The recommended requirements are listed in the System Requirements section.
LIQA is not designed to be used on desktop computers or laptops, as the user experience and image quality may be significantly worse. We recommend using LIQA on desktops only for testing purposes.
Liveness check ❌
LIQA is designed to help users to collect the standardized images of their body parts.
LIQA does not provide any liveness check or any other biometric verification.
FAQ
What is a standardized image?
Every image has a set of quality parameters values, such as visibility of body part area, its position in frame relative to camera, illumination intensity and direction, etc. In the real world, the quality parameters values can vary significantly, but the AI analysis requires them to be in specific narrow ranges to return the most correct and stable result.
The standardized images are the images with all quality parameters that could impact the AI analysis having values in specific narrow ranges.
- The ranges are defined based on the consequent AI analysis requirements to make sure that each standardized image results in the most possibly correct and stable AI analysis result;
- Different body parts images requires different standardization. LIQA has user flow configurations, predefined for several body parts - presets.
How LIQA helps users to collect it?
The process of image collection is guided by LIQA in a way that the user is able to take a high quality photo of a specific body part.
- LIQA uses a device camera to capture the video stream with a relevant body part. LIQA supports both front and back cameras for mobile devices, see Image Sources for more details;
- LIQA evaluates multiple quality parameters values of user body part image in real-time;
- LIQA displays to the user with the Augmented Reality (AR) indicators that help to understand the required quality parameters values for the standardized image.