Optical Vibrometric Container Inspection
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Solution Overview
Problem
Automated inventory systems face challenges in accurately detecting inventory faults, such as misplaced or mishandled items, which are time-consuming and costly to correct, especially in environments like warehouses and order-fulfillment facilities.
Innovation Solution
The system captures images of items in containers and determines their vibrometric signatures, comparing them to reference signatures to identify any discrepancies, allowing for rapid detection of inventory faults without the need to open containers or use radiation-based methods like X-ray analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inventory checking methods are used (opening containers, manual inspection), then inventory accuracy can be verified, but productivity decreases and time loss increases
Solution Approach 1:
The patent replaces mechanical inspection methods (opening containers, manual handling) with an optical measurement system that uses light to detect vibrometric signatures. The optical sensor captures images of containers, and vibration analysis software processes these images to identify inventory faults without physical contact or opening containers, thereby maintaining measurement precision while preserving productivity
Solution Approach 2:
The patent introduces vibration analysis software and optical sensors as intermediary tools between the inventory items and the detection process. These intermediaries enable indirect measurement of inventory conditions through vibrometric signatures, allowing accurate detection of misplaced or damaged items without direct physical inspection that would reduce throughput
2Reliability
If traditional inventory checking methods are used (manual inspection, opening containers), then inventory faults can be detected, but device complexity and operational difficulty increase
Solution Approach 1:
The patent creates a universal detection system where optical sensors and vibration analysis software can identify multiple types of inventory faults (misplaced items, damaged items, wrong items) using the same basic mechanism. The system processes vibrometric signatures to detect various conditions without requiring different specialized equipment for each fault type, reducing overall system complexity while maintaining comprehensive detection capability
Solution Approach 2:
The system enables containers and items to essentially self-identify their condition through their natural vibrometric signatures. The optical sensor captures images, and the software automatically analyzes vibration patterns to detect faults without requiring human intervention or complex manual inspection procedures, simplifying the detection process while maintaining high reliability
3Reliability
If radiation-based methods like X-ray analysis are used, then inventory faults can be detected without opening containers, but the system becomes more complex and costly
Solution Approach 1:
The patent replaces expensive, complex radiation-based detection systems with a simpler, more economical optical measurement system. The optical sensors and vibration analysis software provide comparable fault detection capability without the high cost and complexity of X-ray equipment, while using non-ionizing light that is safer and more practical for warehouse environments
Solution Approach 2:
The patent changes the detection parameter from radiation transmission (X-ray) to optical reflection and vibration analysis. By measuring vibrometric signatures through optical images rather than penetrating radiation, the system achieves similar reliability in fault detection with significantly reduced device complexity and cost, while avoiding the safety and regulatory issues associated with radiation-based methods
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more efficient detection and correction of inventory faults, improving throughput by allowing faults to be addressed in parallel with other operations, while being robust against variations in illumination and item characteristics.
Implementation Method 1
an optical sensor configured to capture images of the test article
Implementation Method 2
a vibration actuator configured to vibrate the test article
Data Source
AI summary
Techniques for automated quality control of containers and items are disclosed. Images of a container can be successively captured over time. A consolidated image can be generated from the captured images. A non-image representation of the consolidated image can be determined. The non-image representation can be used to determine whether the container satisfies a condition. An imaging system can include a visual reference object or an object sensor used to detect entry of the container into a view volume of an electronic camera. A motion system can transport the container into the view volume. Some examples operate in an automated-warehouse environment.