Key Innovation
Adaptive machine vision enabled precise cosmetic procedures safely near the eye.
Precision Aesthetic Robotics
Client
LUUM
Practice Areas
Core Disciplines
Overview
LUUM partnered with Triple Ring to develop a robotic system designed to automate the application of eyelash extensions with high precision, safety, and consistency. The system integrates machine vision and robotics technologies to support accurate positioning and controlled interaction near sensitive human anatomy.
Triple Ring developed the machine vision subsystem and contributed industrial design concepts that supported both technical performance and user comfort.
Challenge
The system needed to safely perform highly precise procedures near the human eye while maintaining responsiveness to client movement. Low-latency perception and control were required to support real-time adjustments and maintain safe interaction.
The system also needed to support accurate perception across diverse users, including a wide range of skin tones and eyelash characteristics.
Precision Aesthetic Robotics
Overview
LUUM partnered with Triple Ring to develop a robotic system designed to automate the application of eyelash extensions with high precision, safety, and consistency. The system integrates machine vision and robotics technologies to support accurate positioning and controlled interaction near sensitive human anatomy.
Triple Ring developed the machine vision subsystem and contributed industrial design concepts that supported both technical performance and user comfort.
Challenge
The system needed to safely perform highly precise procedures near the human eye while maintaining responsiveness to client movement. Low-latency perception and control were required to support real-time adjustments and maintain safe interaction.
The system also needed to support accurate perception across diverse users, including a wide range of skin tones and eyelash characteristics.
Client
LUUM
Practice Areas
Core Disciplines
Solution
Triple Ring applied expertise in imaging, robotics, and industrial design to develop a machine vision system capable of guiding robotic motion with high precision and responsiveness.
Key development activities included:
- Developing machine vision algorithms capable of tracking fine features in three-dimensional space
- Designing perception systems that responded rapidly to client movement
- Integrating redundant safety features to support safe operation near sensitive anatomy
- Creating industrial design concepts that improved comfort and promoted user confidence
Outcome
Triple Ring delivered a fully integrated machine vision subsystem and industrial design framework supporting LUUM’s robotic eyelash application platform.
The system enabled consistent and efficient placement of eyelash extensions while maintaining high standards of safety and supporting reliable performance across diverse users.
Triple Ring Talent
The Story Behind the Innovation
At Triple Ring, we draw on a deep bench of expertise across diverse disciplines matched to each innovation challenge. For this project, our team applied machine vision, optical engineering, robotic control systems, and industrial design expertise to develop a precision robotic platform capable of safely automating eyelash extension application near sensitive human anatomy.
Todd and Keith collaborated with many talented colleagues across Triple Ring and LUUM on this project.
Todd Harris, PhD
Physics & Optical Science
Dr. Todd Harris applies expertise in optics and imaging physics to the development of advanced sensing and illumination technologies. His work combines optical modeling with system design, helping teams translate complex physical principles into dependable, high-performance solutions.
Keith Nishihara, PhD
Physics & Optical Science
Dr. Keith Nishihara works in computer vision and image-based system development, transforming advanced algorithms into practical hardware and software solutions. His work supports applications ranging from medical imaging to real-time recognition systems, helping teams solve complex visual and spatial challenges.
