Automatic Product Model Switching via Real-Time Product Detection
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Solution Overview
Problem
Existing product inspection systems rely heavily on human visual inspection, which is inefficient and prone to errors, and lack effective automation for real-time quality data management and sale/purchase transactions.
Innovation Solution
A computer-implemented system utilizing cameras and a distributed ledger to capture and manage real-time quality data, enabling automated product identification, defect detection, and seamless sale/purchase transactions through an online marketplace.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If human visual inspection is used for product quality assessment, then operational simplicity is maintained, but inspection efficiency and accuracy deteriorate
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical inspection system that uses cameras, lighting, and image processing algorithms to detect product defects, measure dimensions, and assess quality characteristics automatically, thereby dramatically improving inspection efficiency and consistency
Solution Approach 2:
The inspection system automatically captures images, processes quality data, and generates inspection results without requiring human operators to manually examine each product, enabling the system to perform inspection functions autonomously and continuously
2Reliability
If real-time quality data collection is implemented, then product quality management is improved, but data management complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where quality inspection data is automatically captured, processed, and stored in real-time, then fed back to control systems to adjust manufacturing parameters and maintain product quality within specified tolerances
Solution Approach 2:
The quality data management system serves multiple functions including defect detection, dimensional measurement, process control, and predictive maintenance, consolidating various quality management tasks into a single integrated platform that reduces overall system complexity
3Measurement precision
If automated inspection systems are deployed, then inspection accuracy is improved, but implementation cost increases
Solution Approach 1:
The patent divides the automated inspection system into modular components including separate camera units, lighting systems, image processing modules, and data management systems, allowing for phased implementation and easier integration into existing manufacturing lines
Solution Approach 2:
The system uses optical copying techniques where cameras capture images of products, creating digital replicas that can be analyzed without physical contact, enabling high-precision measurement and defect detection while reducing wear on inspection equipment
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
Facilitates efficient, accurate, and automated product inspection and data management, reducing human error and enhancing the real-time sale and purchase of products based on quality data.
Implementation Method 1
an image of a sample is captured by an optical device as the sample travels along a processing line
Data Source
AI summary
A system and method for automatically detecting the type of product being processed in an industrial machine and switching to the corresponding product model without manual operator input. The system includes a detection module configured to determine the product type based on real-time data such as visual classification, lot number association, or processing schedule. Upon identifying the product type, a model selection engine automatically activates the appropriate product model from among multiple models stored on the machine. This automation eliminates the risk of human error associated with manual switching, improves operational reliability, and ensures accurate processing for environments where multiple product types are handled on the same equipment.