Machine Vision Commissioning With Calibration-Target Detection
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Solution Overview
Problem
Existing machine vision systems are inefficiently commissioned, prone to human error, and result in variability in performance due to individual device configuration, leading to increased labor costs.
Innovation Solution
A method and system for automatically configuring machine vision systems using a single specification package and a calibration target to identify and configure multiple imaging devices simultaneously, reducing human intervention and ensuring consistent performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individual imaging devices are commissioned manually, then configuration flexibility is maintained, but commissioning time and labor costs increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-configuring imaging devices with default settings and pre-identifying them using calibration targets before the actual commissioning process. The calibration target with known graphical position representations enables the system to automatically determine device positions and configure them in advance, eliminating the need for manual configuration during commissioning.
Solution Approach 2:
The imaging devices perform self-identification and self-configuration through automatic detection of calibration targets and retrieval of specification packages. The system enables devices to commission themselves by automatically determining their positions, identifying their parameters, and applying configurations without human intervention, thereby dramatically reducing commissioning time.
2Reliability
If manual identification and configuration of imaging devices is performed, then adaptability to specific device requirements is maintained, but human error and variability in performance increase
Solution Approach 1:
The system replaces manual mechanical identification and configuration processes with automated optical and electronic systems. Calibration targets with graphical position representations enable automatic optical detection and identification of imaging devices, substituting human operators with automated vision systems that eliminate variability and human error in the commissioning process.
Solution Approach 2:
The system implements feedback mechanisms where imaging devices capture images of calibration targets, the system processes these images to determine device positions and parameters, and then automatically configures the devices based on retrieved specification packages. This closed-loop feedback process ensures consistent, accurate configuration while reducing commissioning time.
3Productivity
If multiple imaging devices are configured individually, then precise control over each device is maintained, but system setup time increases linearly with device count
Solution Approach 1:
The system merges the commissioning processes of multiple imaging devices into a single simultaneous operation. By using a common calibration target and specification package, the system configures multiple devices in parallel rather than sequentially, dramatically improving setup efficiency while maintaining ease of operation through automated batch processing.
Solution Approach 2:
The calibration target serves multiple functions simultaneously: it enables automatic identification of imaging devices, provides reference information for position determination, and facilitates retrieval of universal specification packages. This multi-functional approach simplifies the commissioning process while improving efficiency for systems with multiple devices.
Data Source
AI summary
Methods and systems are provided for commissioning machine vision systems. The methods and systems described herein may automatically configure, or otherwise assist users in configuring, a machine vision system based on a specification package.