Automated Auditing Robot with Rotatable Platform for Warehouse Verification
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Solution Overview
Problem
Manual auditing of received goods in warehouses is prone to errors, leading to operational inefficiencies and congestion, especially when multiple deliveries arrive simultaneously, resulting in rushed or incomplete verifications.
Innovation Solution
An automated auditing system featuring a rotatable platform, overhead camera, and multi-tracking camera system, controlled by a processor that assesses risk levels based on image data, scanning data, order information, and historical data to automatically verify and check-in pallets, reducing human intervention and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual auditing process is used, then human intervention can handle complex verification tasks, but errors increase and operational efficiency decreases
Solution Approach 1:
The system enables self-service auditing where the automated auditing system independently performs verification tasks including image capture, data processing, risk assessment, and decision-making without human intervention. The system serves itself by automatically comparing received goods against order information, assessing risks, and directing pallets to appropriate storage areas based on audit results.
Solution Approach 2:
The patent replaces manual mechanical auditing processes with an automated system using cameras, image processing algorithms, and computer-controlled mechanisms. The overhead camera captures images, the processor analyzes data, and the system automatically makes auditing decisions, substituting human physical inspection with automated optical and computational systems.
2Measurement precision
If manual auditing is performed for every delivery, then verification thoroughness can be maintained, but congestion increases when multiple deliveries arrive simultaneously
Solution Approach 1:
The system dynamically changes the auditing parameter from comprehensive manual inspection to risk-based selective auditing. By calculating risk levels based on multiple factors (supplier history, product type, delivery patterns), the system adjusts the depth and type of verification performed, allowing faster processing of low-risk deliveries while maintaining thoroughness for high-risk ones.
Solution Approach 2:
The system performs preliminary risk assessment before the actual auditing process by analyzing supplier history, delivery patterns, and product categories. This preliminary action allows the system to pre-determine the appropriate level of verification needed, reducing the time required for actual auditing by focusing resources only where necessary.
3Reliability
If comprehensive auditing is performed on all pallets, then auditing accuracy is maintained, but process breaches occur due to rushed or incomplete verifications
Solution Approach 1:
The system applies local quality by directing different levels of auditing scrutiny to different pallets based on their specific risk profiles. Instead of uniform comprehensive auditing, each pallet receives verification appropriate to its risk level, with high-risk items getting detailed inspection and low-risk items receiving streamlined verification, thereby maintaining accuracy without unnecessary complexity.
4Productivity
If automated auditing system is implemented, then productivity and accuracy are improved, but system complexity increases
Solution Approach 1:
The automated auditing system performs multiple functions through a single integrated platform: capturing images of pallets, processing and analyzing image data, comparing received goods against order information, calculating risk levels, and directing pallets to appropriate storage areas. This multi-functionality consolidates what would otherwise require multiple separate systems into one cohesive unit, managing complexity while delivering comprehensive automated auditing capabilities.
Data Source
AI summary
A system for performing automated auditing of goods includes an audit robot that includes a rotatable platform, and an overhead camera, a multi-tracking camera system, an audit controller configured to receive and process the one or more images to detect a delivery personnel and corresponding pallet of goods when the delivery personnel enters the warehousing environment, generate an alert to instruct the delivery personnel to keep the pallet on the platform of the audit robot, trigger the rotatable platform to rotate when the pallet is kept, trigger the overhead sensor and the multi-tracking camera system to generate image data of the pallet, while the platform is being rotated, process at least one of: image data, scanning data, order and supplier information, historical information, time, and identity of the delivery personnel to assess a risk level of the pallet, and automatically check-in the pallet when risk level is assessed as zero.