US20260014705
2026-01-15
Performing operations; transporting
B25J9/1697
The patent application outlines a method and system for enhancing eyelashes using microrobots. It involves capturing digital source images of a subject's face, identifying the eyelash region, and creating an eyelash map for precise lash application. The microrobots are guided by control instructions derived from this map to apply artificial lashes accurately. The method also includes generating a 3D model or modified image for visualization purposes, enhancing user interaction through a dedicated user interface.
Facial landmarks are extracted from the digital images to define the eyelash region. An image mask is applied to focus on this area, allowing the creation of a detailed eyelash map. This map includes information about the density, length, and thickness of existing eyelashes. Machine learning techniques are employed to enhance the accuracy of mapping and to detect any anomalies, such as gaps or damaged lashes, which may influence the eyelash enhancement recommendations.
The system incorporates an eyelash recommendation engine that utilizes the eyelash map and facial attribute analysis to suggest optimal lash enhancements. Attributes considered include face shape, age, eye and eyebrow characteristics, skin tone, and texture. This engine can generate personalized recommendations, determining where artificial lashes should be applied to complement the subject's natural features or achieve a desired look.
A user interface displays the modified image or 3D model, allowing users to visualize potential enhancements. The interface includes virtual try-on functionality, enabling users to experiment with different eyelash styles. Users can interact with the model to adjust the recommendations, providing input that can further refine the microrobot control instructions for a customized application.
The system comprises various components, including cameras for capturing images, and microrobots for applying lashes. It can be implemented on client or server devices, with non-transitory computer-readable media storing the necessary instructions. The integration of computer vision and machine learning ensures precise identification and application of eyelashes, enabling an automated and user-friendly approach to eyelash enhancement.