Image-Guided Robotic Follicular Unit Harvesting System

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Solution Overview

Problem

Current medical procedures for hair transplantation and other skin treatments lack precision and efficiency, particularly in accurately positioning and orienting tools relative to the body surface, leading to potential errors and operator fatigue.

Innovation Solution

An image-guided robotics system with a robotic arm, cameras, and a processor that uses visual servoing to precisely position and orient tools, such as follicular unit harvesting and implantation tools, based on processed image data, ensuring accurate alignment and minimization of human error.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual techniques are used for hair transplantation and skin treatments, then device complexity is reduced, but positioning precision and measurement precision deteriorate

Engineering Contradiction:
Improvepositioning precisionVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical positioning with an automated robotic system controlled by image processing and visual servoing. The robotic arm, guided by cameras and computer vision algorithms, achieves precise positioning without manual intervention, thereby improving positioning precision while accepting increased device complexity as a trade-off for enhanced accuracy and consistency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If automated robotic systems are used, then positioning precision is improved, but device complexity increases

Engineering Contradiction:
Improvetool positioning accuracyVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements a feedback control system where cameras continuously capture images of the treatment area, the image processing system analyzes the images to determine tool position and orientation, and the robotic arm adjusts its position based on this feedback. This closed-loop visual servoing ensures high positioning accuracy and tool orientation precision, justifying the increased system complexity through improved procedural reliability and aesthetic outcomes.

Inventive Principle:
Principle #23Feedback

3Productivity

If manual operations are performed, then ease of operation is maintained, but productivity and measurement precision deteriorate

Engineering Contradiction:
Improveprocedure efficiencyVSAvoidautomation system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The robotic system performs self-positioning and self-orientation using onboard cameras and image processing algorithms. The system autonomously tracks the treatment area, calculates the required tool positioning, and executes precise movements without requiring constant manual guidance. This self-service capability significantly improves productivity and measurement precision while the system manages its own operational complexity through integrated control algorithms.

Inventive Principle:
Principle #25Self-service

4Measurement precision

If visual servoing with multiple cameras is implemented, then measurement precision is improved, but device complexity and loss of information increase

Engineering Contradiction:
Improvespatial measurement accuracyVSAvoidimage processing complexity
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent divides the imaging system into multiple specialized camera units, each capturing specific views or features of the treatment area. The image processing system segments and integrates information from these separate camera inputs to construct a comprehensive three-dimensional model of the target area. This segmentation approach improves measurement precision by gathering data from multiple perspectives while managing information processing complexity through modular algorithms that handle each camera's data independently before synthesis.

Inventive Principle:
Principle #1Segmentation

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system enables precise and efficient performance of medical procedures like hair transplantation and skin treatments by accurately positioning tools, reducing operator fatigue and improving aesthetic outcomes through automated and semi-automated processes.

Implementation Method 1

one or more cameras mounted on the moveable arm, a processor configured to receive and process images acquired by the one or more cameras

Methodology Applied
Scientific EffectImage processing: Image Processing

Data Source

PatentUS9526581B2Automated system and method for harvesting or implanting follicular units
Publication Date: 2016.12.27 VENUS CONCEPT INC
  • US9526581B2 patent drawing
  • US9526581B2 patent drawing
  • US9526581B2 patent drawing

AI summary

Automated systems and methods for operating a procedure tool to perform a procedure (for example, hair transplantation) on a body are provided. One or more mechanisms are configured to produce a combination movement of the procedure tool in response to control signals. A force sensor monitors resistance as the tool moves and transmits information from the force sensor to a computer. Movement of the procedure tool is controlled at least in part based on information from the force sensor.