A close-up of a person's face undergoing an eye lash procedure with LUUM's system.
Key Innovation By using low-latency machine vision and adaptive robotic control, we made it possible to perform precise, repeatable cosmetic procedures safely in proximity to one of the body's most sensitive structures.
Large white capital letters spelling "LUUM" on a light gray background, inspired by Triple Ring Technologies' case study on our technical product development of LUUM's precision lash extension system.

Precision Aesthetic Robotics

Client

LUUM

Practice Areas

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.

3D renderings of a LUUM's commercial concept.
Close-up of LUUM's prototype visual system tracking the position of an eyelash extension.
Close-up of LUUM's prototype visual system tracking the position of an eyelash extension.

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.

Meet our team
A portrait of Todd Harris, a man with glasses wearing a black shirt against a grey background.

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.

A portrait of Keith Nishihara, a smiling man with gray hair wearing glasses and a plaid shirt.

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.

A person holding a Hound Labs device displaying a "pass" result for a cannabis breathalyzer test.
Key Innovation By combining microfluidic lab-on-a-chip technology and portable breath capture hardware, we brought clinical-grade THC detection out of the laboratory and into the hands of law enforcement and employers.
Hound Labs logo featuring a stylized dog head in a circle next to the company name in bold capital letters, as highlighted in Triple Ring Technologies' case study on our technical product development of Hound Labs' cannabis breathalyzer system.

Cannabis Breathalyzer System

Client

Hound Labs

Overview

Hound Labs engaged Triple Ring to invent a portable breath analyzer capable of detecting recent marijuana use. The system was developed to support point-of-use testing in law enforcement and workplace environments requiring reliable impairment detection.

Starting from an early concept sketch, Triple Ring collaborated with Hound Labs to develop a high-sensitivity breathalyzer platform combining chemical detection and portable instrumentation technologies.

Challenge

The system needed to detect Δ-9 THC in exhaled breath with clinical-grade sensitivity while maintaining portability and reliability in field conditions.

In addition to engineering challenges, the project required validation of THC pharmacodynamics in breath, including generation of peer-reviewed scientific evidence supporting detection feasibility.

Four conceptual sketches of the handheld Hound Labs cannabis breathalyzer device with different design features highlighted.
Exploded view diagram showing the components of the Hound Labs handheld cannabis breathalyzer, highlighting its interior parts and mechanical design.

Solution

Triple Ring assembled multidisciplinary development teams to design and validate a fully integrated breath analysis platform combining microfluidic sampling and portable device technologies.

Development efforts included:

  • Designing a portable breath capture device optimized for reliable sample collection
  • Engineering microfluidic lab-on-a-chip cartridges supporting sensitive compound detection
  • Integrating control station hardware capable of processing and analyzing captured samples
  • Supporting validation activities that produced peer-reviewed pharmacodynamic data
  • Developing prototype systems suitable for demonstration, testing, and continued product development
A portable cannabis breathalyzer kit by Hound Labs with carrying case and digital handheld device.

Outcome

Triple Ring delivered fully functioning prototype systems consisting of a breath capture device, control station, and microfluidic cartridges.

The system produced clinical-grade data at the point of use, supporting detection of recent marijuana use and enabling development of a first-in-class breath-based detection platform.

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 combined microfluidic engineering, biological sensing, portable instrumentation, and clinical validation expertise to develop a first-in-class breath-based THC detection platform capable of delivering clinical-grade results at the point of use.

David and Kevin collaborated with many talented colleagues across Triple Ring and Hound Labs on this project.

Meet our team
A portrait of David Shack, a smiling man wearing glasses and a blue checked shirt against a blurred background.

David Shack, PhD

Mechanical Engineering & Applied Sciences

Dr. David Shack directs the development of complex scientific measurement and analysis systems across multidisciplinary teams. His work integrates algorithms, software, fluidics, and optical technologies, helping advance tools that support precision research and clinical applications.

A portrait of Kevin Limtao, a smiling man with glasses wearing a blue-striped shirt.

Kevin Limtao

Biomedical & Systems Engineering

Kevin Limtao connects system requirements, architecture, and integration across complex medical and diagnostic technologies. His work helps teams align design, risk, and performance throughout the development lifecycle, ensuring systems function reliably from early concepts through deployment.