An AI solution that seamlessly swaps a character’s face with the user’s

Unlike human faces, animals or inanimate objects won't have the same geometric structure or landmarks. Placing a human face on them requires a dynamic approach that can adjust to various shapes and structures. Moreover, some objects or animals move unpredictably, which complicates the tracking and anchoring of the human face onto them.

The Onix team implemented a mapping algorithm that doesn't solely rely on traditional facial landmarks but also uses the broader contours and shape of the target entity, whether it's an animal's face or an object. Moreover, we used advanced tracking algorithms in OpenCV to keep the human face consistently placed on the moving object.

As users move or change expressions, accessories should adjust accordingly. A hat, for instance, should remain on the head, not float above it if a user raises their eyebrows. Also, different users have different face sizes and shapes. The accessories must fit proportionally, looking both too large and too small.

We used facial landmarks to create "anchor points" for accessories. For instance, glasses anchor to the bridge of the nose and ears, ensuring they move with the face realistically. Also, we developed an algorithm that adjusts accessory size based on detected face dimensions. For instance, the width between the eyes can determine the size of glasses.

Regardless of where you make changes - on the mobile version or web, all modifications are automatically reflected across all platforms.

For example, if you change the color of a button, this change will be applied both on mobile devices and on the website. This ensures design consistency and ease of management, as you don't need to make separate changes on each platform.

All changes are automatically synchronized, allowing you to efficiently control the appearance and functionality of your product on different devices.