Quality Data Marketplace With Real-Time Inspection-Based Bidding
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Solution Overview
Problem
Existing product inspection systems lack the ability to efficiently leverage real-time quality data for automated sales and purchasing processes, and there is a need for systems that can accurately and quickly detect defects in products using automated inspection methods.
Innovation Solution
A computer-implemented system that facilitates the sale of products through an online marketplace by receiving and communicating real-time quality data generated by inspection devices, using cameras and light sources to capture images of samples in flight, and integrating this data into a distributed ledger for consensus and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time quality data is integrated into an online marketplace system, then the efficiency of sales processes is improved, but the system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: inspection device module, data communication module, marketplace module, and ledger integration module. Each module handles specific tasks independently, allowing the complex system to be managed through modular components that can be developed, tested, and maintained separately while working together to enable efficient real-time quality-based sales processes.
Solution Approach 2:
The quality data marketplace system serves multiple functions simultaneously: it collects inspection data, communicates quality information, facilitates purchase decisions, records transactions, and maintains data integrity through distributed ledger technology. This multi-functionality reduces the need for separate specialized systems, improving overall productivity while managing complexity through consolidated universal functionality.
2Speed
If automated inspection methods are used to detect defects, then the speed of defect detection is improved, but the measurement precision may be compromised
Solution Approach 1:
Manual inspection methods are replaced with automated optical inspection systems using cameras and image processing algorithms. This substitution enables high-speed automated defect detection while maintaining precision through computational analysis, allowing the system to process multiple items rapidly with consistent accuracy that matches or exceeds human inspection capabilities.
Solution Approach 2:
The inspection system creates digital copies (images) of physical products for analysis. These digital replicas can be processed rapidly by algorithms to detect defects with high precision, enabling speed improvements while maintaining measurement accuracy through repeated digital analysis without physical contact or manual handling.
3Loss of time
If quality data is communicated in real-time through the marketplace, then the data freshness is improved, but the data transmission requirements increase
Solution Approach 1:
Only essential quality data parameters are extracted and transmitted in real-time through the marketplace, rather than transmitting complete inspection datasets. This selective extraction maintains data freshness for critical quality metrics while reducing transmission bandwidth requirements and energy consumption by sending only the most relevant information needed for purchase decisions.
Solution Approach 2:
Quality data is pre-processed and filtered at the inspection device before transmission to the marketplace. Critical quality metrics are identified and prepared in advance, allowing real-time communication of essential information without transmitting unnecessary data, thereby reducing transmission requirements while maintaining data freshness for decision-making.
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
Enables efficient and accurate detection of product defects, allowing for real-time data exchange and sale/purchase transactions based on quality data, enhancing the utilization of inspection data for automated sales processes.
Implementation Method 1
a light source that is adapted to illuminate the sample when it travels through the focal plane
Implementation Method 2
a trigger adapted to detect a presence of the sample and in response generate the trigger signal
Data Source
AI summary
A computer-implemented system for facilitating the sale of products through an online marketplace providing real-time quality data to users, comprising (a) receiving quality data associated with a sample, wherein the quality data was generated, at least in part, by a device that inspected a sample, (b) causing at least a portion of the quality data to be communicated via a graphical user interface, (c) receiving data indicating a desire (bid) to purchase the sample, (d) determining if a sale has been executed, (e) generating a sale status data based at least in part on the determining of (d), and (f) communicating the sales status data, wherein (a) through (f) are performed using one or more processor circuits. The system can use machine learning to provide real-time price predictions to aid buyers. The system can utilize blockchain technology to ensure valid and consistent data is being communicated to all users.