Machine Vision Tunnel Configuration for Faster Accurate Setup
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Solution Overview
Problem
Conventional methods for configuring machine vision tunnels are inefficient, labor-intensive, prone to human error, and do not allow for easy comparison or adjustment of tunnel configurations, leading to sub-optimal designs and increased costs.
Innovation Solution
A tunnel configurator module that automatically determines optimal tunnel configurations based on application, site, and equipment data, providing dynamic configuration summaries and electronic specification packages to streamline installation and commissioning processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional manual methods are used to configure machine vision tunnels, then configuration can be completed, but the process is labor-intensive, time-consuming, and prone to human error
Solution Approach 1:
The patent replaces manual mechanical configuration processes with an automated software-based configurator system. The configurator module automatically generates tunnel configurations by processing input parameters through computational algorithms, eliminating manual data entry and calculation errors while significantly reducing configuration time.
Solution Approach 2:
The configurator system enables self-service configuration by automatically generating complete tunnel configurations from basic input parameters. The system performs self-validation and error checking, allowing users to obtain accurate configurations without requiring expert manual intervention or time-consuming iterative adjustments.
2Adaptability or versatility
If conventional configuration methods are used, then tunnel setup can be completed, but customization and adjustment are difficult and inefficient
Solution Approach 1:
The configurator system provides dynamic configuration capabilities where parameters can be easily modified and the system automatically recalculates and adjusts the entire tunnel configuration. This enables rapid customization for different applications and easy adjustment during operation without requiring complex manual reconfiguration.
Solution Approach 2:
The configurator is designed to handle multiple configuration scenarios and applications through a unified interface. It can generate configurations for various tunnel types, imaging devices, and applications, providing universal adaptability while maintaining ease of operation through consistent interaction methods.
3Manufacturing precision
If detailed tunnel configurations are manually created and managed, then complete specifications can be achieved, but comparison and validation between different configurations are cumbersome
Solution Approach 1:
The configurator creates standardized digital representations and specifications of tunnel configurations that can be easily stored, copied, and compared. Configuration summaries provide simplified versions of detailed configurations for quick comparison, while full specifications remain available for manufacturing precision when needed.
Solution Approach 2:
The system incorporates validation mechanisms that automatically check configuration specifications against requirements and provide feedback on compliance. This automated feedback loop ensures manufacturing precision while reducing the complexity of manual validation and comparison processes.
Data Source
AI summary
Systems and methods are provided for generating machine vision tunnel configurations. The systems and methods described herein may automatically generate a configuration summary of tunnel configurations for a prospective machine vision tunnel based on received parameters. The configuration summary may be modified via operator interaction with the configuration summary. The systems and methods described herein may also automatically generate and transmit a bill of materials report, a tunnel commissioning report, or a graphical representation of an approved tunnel configuration, including generating some or all of these data sets dynamically in response to operator inputs.


