Tool Recognition Assembly Using Insertion Signatures for Safe Installation

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Solution Overview

Problem

Existing minimally invasive medical procedures face challenges in properly installing and recognizing medical instruments, which can lead to safety issues and inefficiencies due to the lack of effective detection and recognition systems.

Innovation Solution

A tool recognition assembly is employed to detect the presence, absence, and type of medical instruments using sensor data from target readers, creating insertion signatures that are compared to pre-determined models to ensure proper installation and authentication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a tool recognition assembly with sensor data analysis is implemented, then safety and reliability are improved, but device complexity increases

Engineering Contradiction:
ImprovesafetyVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary detection and recognition of medical tools before they are fully installed or used. The tool recognition assembly detects tool presence, type, and proper installation status in advance, allowing the system to verify tool authenticity and configuration before critical operations begin, thereby ensuring safety without requiring complex real-time monitoring during procedures

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

A tool recognition assembly acts as an intermediary component between the medical tool and the medical system. This assembly includes sensor assemblies that detect tool characteristics and generate tool signatures, which are then compared against a database of known tool profiles. This intermediary layer provides reliable tool verification while keeping the overall system architecture modular and manageable

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If multiple sensor assemblies and detection zones are used to verify tool installation, then measurement precision is improved, but device complexity increases

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

Solution Approach 1:

The tool recognition assembly is divided into multiple sensor assemblies, each with its own detection zone. Each sensor assembly monitors specific tool characteristics independently, and the system integrates data from multiple zones to create a comprehensive tool signature. This segmentation allows precise detection of tool presence, type, and installation status while maintaining modular architecture that simplifies system management

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The sensor assemblies are designed to perform multiple detection functions using the same hardware components. The sensors can detect various tool characteristics including presence, type, orientation, and installation depth by analyzing signals from multiple detection zones. This multi-functionality reduces the need for specialized sensors for each measurement task, thereby improving detection precision without proportionally increasing device complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260020745A1Systems and methods for tool detection and associated control modes
Publication Date: 2026.01.22 INTUITIVE SURGICAL OPERATIONS INC
  • US20260020745A1 patent drawing
  • US20260020745A1 patent drawing
  • US20260020745A1 patent drawing

AI summary

A method of detecting a tool being received in a medical system, the method including receiving, in a tool recognition assembly having a first reader with a first detection zone, the tool having a first target. The method also includes acquiring first sensor data from the first reader for the first detection zone and detecting an indication of an absence of the first target when the first sensor data is within a first pre-determined threshold range and logging the absence indication. The method also includes creating an insertion signature associated with the tool being received in the tool recognition assembly by combining, in a chronological sequence, the absence and presence indications from the first reader. The method further includes comparing the insertion signature to a predetermined set of model insertion signatures and determining a characteristic of the tool being received in the tool recognition assembly based on the comparing.