Connector Housing Vision Verification for Cable Wire Insertion

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Manual inspection of cable wire insertion into connector housings is tedious and prone to errors, leading to inconsistent and time-consuming construction processes.

Innovation Solution

A method utilizing a camera system and machine vision system to classify the connector housing type and verify correct cable wire insertion into corresponding cavities, employing machine learning models for recognition and verification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual inspection of cable wire insertion is performed, then human workers can detect insertion errors, but the process becomes tedious and time-consuming with inconsistent results

Engineering Contradiction:
Improvedetection accuracyVSAvoidinspection time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical inspection process with an automated machine vision system using cameras and image processing algorithms. The system captures images of the connector housing and cable wires, then automatically analyzes them to verify correct insertion, eliminating the need for tedious manual inspection while maintaining high detection accuracy.

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

Solution Approach 2:

The inspection system performs self-verification by automatically comparing the captured images against expected insertion patterns and connector specifications. The system independently detects insertion errors without requiring human intervention, enabling the process to self-correct and verify its own accuracy.

Inventive Principle:
Principle #25Self-service

2Productivity

If automated machine vision system is implemented, then inspection speed and accuracy improve, but device complexity increases

Engineering Contradiction:
Improveinspection speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The machine vision system is designed to handle multiple connector types and cable wire configurations through a single unified platform. The system can classify different connector housing types and adapt its verification criteria accordingly, reducing the need for multiple specialized inspection devices while maintaining high productivity.

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

Solution Approach 2:

The patent introduces an image processing intermediary layer that translates physical insertion states into digital analysis. By capturing images and processing them through algorithms, the system creates an intermediate digital representation that simplifies the verification process and reduces the complexity of direct physical measurement and inspection.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If connector housing types vary in size and shape with different cable cavity distributions, then customization is achieved, but automatic verification becomes more difficult

Engineering Contradiction:
Improveconnector varietyVSAvoidverification complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The verification system dynamically adapts its inspection criteria based on the detected connector type. The system first classifies the connector housing type by analyzing the image features, then automatically adjusts the verification parameters and expected patterns according to the specific connector configuration, enabling it to handle various sizes, shapes, and cable cavity distributions without manual reconfiguration.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system performs preliminary classification of the connector housing type before conducting the actual insertion verification. By first identifying the connector type and its specific characteristics from the image, the system prepares the appropriate verification criteria in advance, simplifying the subsequent verification process and reducing overall complexity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250259286A1Automatic cable wire insertion verification
Publication Date: 2025.08.14 THE BOEING CO
  • US20250259286A1 patent drawing
  • US20250259286A1 patent drawing
  • US20250259286A1 patent drawing

AI summary

A method for cable wire insertion verification includes receiving, from a camera system, an inspection image of a connector housing held in a housing retainer of a housing inspection system. Via a connector recognition machine vision system, the connector housing is classified as a recognized connector housing type based, at least in part, on a comparison between the inspection image of the connector housing and a template image corresponding to the recognized connector housing type. For one or more cable cavities of the connector housing, the method includes automatically verifying whether a correct cable wire is inserted into the cable cavity according to the recognized connector housing type.