Stereo Vision Calibration for Precise Inventory Holder Alignment
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Solution Overview
Problem
Inventory systems face challenges in efficiently managing large numbers of diverse inventory requests, leading to lower throughput, unacceptably long response times, and high costs for capacity or functionality changes, due to inefficient utilization of resources and operating tolerances in mobile drive units.
Innovation Solution
Implementing a stereo vision system with multiple cameras and lasers to determine the 3D pose of inventory holders, allowing precise alignment and interaction with transfer apparatuses, reducing the need for accurate arrival poses and minimizing clearance between inventory holders and stored items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional inventory systems are used without automated calibration, then system simplicity is maintained, but manufacturing precision and measurement precision deteriorate due to operating tolerances in mobile drive units
Solution Approach 1:
The system performs automated calibration before inventory operations to pre-establish accurate spatial relationships between cameras, lasers, and inventory holders. This preliminary calibration action compensates for manufacturing tolerances and ensures precise alignment throughout subsequent operations, resolving the contradiction by achieving high precision through advance preparation rather than complex real-time adjustments
Solution Approach 2:
The calibration system uses the inventory holders themselves as calibration targets, eliminating the need for separate calibration artifacts. The system automatically captures images, processes data, and generates calibration parameters without human intervention, achieving high precision alignment while maintaining system simplicity through self-calibration capabilities
2Quantity of substance
If larger clearance is provided between inventory holders and stored items, then ease of operation is improved, but storage density deteriorates
Solution Approach 1:
The system replaces mechanical clearance requirements with optical measurement and automated calibration. By using cameras and lasers to precisely determine 3D positions and orientations, the system can achieve smooth item transfers with minimal physical clearance, thereby maximizing storage density while maintaining ease of operation through intelligent control rather than mechanical design
3Productivity
If manual calibration methods are used, then device complexity is reduced, but productivity deteriorates due to time-consuming calibration processes
Solution Approach 1:
The calibration system operates continuously and automatically, capturing images at multiple predetermined poses and processing calibration data without interruption to inventory operations. This continuous automated calibration process eliminates manual intervention time and achieves high calibration speed while managing system complexity through integrated automated workflows
Solution Approach 2:
The system performs calibration in advance at predetermined poses before actual inventory operations begin. By pre-establishing accurate spatial relationships through automated image capture and processing, the system achieves rapid calibration without impacting subsequent productivity, resolving the contradiction through advance preparation
Data Source
AI summary
Automated calibration of a machine vision system employs a calibration target assembly mountable to a robotic transfer assembly. An inventory management system includes a robotic transfer apparatus, a calibration target assembly, and a stereo vision assembly. The robotic transfer apparatus includes a support assembly and a transfer assembly. The support assembly is configured for repositioning the transfer assembly relative to the support assembly. The transfer assembly is rotatable relative to the support assembly. The calibration target assembly mountable to the transfer assembly and includes optical calibration targets. The stereo vision assembly is configured for imaging the optical calibration targets to generate calibration image data that is processed to generate calibration data for the machine vision system.