Visual Product Identification in Material Handling Systems
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Solution Overview
Problem
Current material handling systems in distribution and fulfillment centers face challenges in accurately identifying and tracking products, particularly those that are damaged or deformed, and require costly barcode labeling and reading systems, which can lead to inefficiencies and errors.
Innovation Solution
A system utilizing cameras and a database of product images to identify products uniquely, eliminating the need for separate tracking labels and barcode reading hardware, and allowing for real-time detection of damage or defects within the material handling system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If barcode labeling and reading systems are used for product identification, then product tracking accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses optical copies (images) of products captured by cameras instead of physical barcodes. The system captures images of products at multiple locations and compares them to identify defects, eliminating the need for barcode labels and reading hardware while maintaining product identification capability
Solution Approach 2:
The patent replaces the mechanical barcode scanning system with an optical imaging system. Instead of using barcodes and optical scanners, the system uses cameras to capture product images and processes them computationally to identify products and detect defects
2Loss of information
If barcode reading systems are deployed, then product tracking is enabled, but loss of time and productivity decrease
Solution Approach 1:
The system continuously captures images of products as they move through the material handling system at multiple locations without interruption. This continuous imaging allows for real-time product identification and defect detection without stopping the conveyor or requiring separate scanning operations
Solution Approach 2:
The system captures and stores product images at multiple locations in advance during normal operation. When defects are detected by comparing images, the system can immediately trace the product through previously captured images to identify the defect location, eliminating the need for real-time barcode scanning
3Loss of information
If existing product identification methods are used, then basic tracking is possible, but reliability decreases for damaged or deformed products
Solution Approach 1:
The system detects changes in the visual appearance (color, shape, structure) of products by comparing images captured at different locations. Even damaged or deformed products maintain their visual characteristics that can be detected and tracked through image comparison, ensuring reliable identification regardless of product condition
Solution Approach 2:
The system creates visual copies (images) of products at multiple locations and compares them to track product movement and identify defects. This visual copying method works for all product types including damaged ones, as it relies on visual characteristics rather than barcode labels that may be damaged or illegible
Data Source
AI summary
Methods, apparatuses, and systems for identifying and tracking products in a material handling system and/or for identifying and handling product defects in a material handling system are provided. An example method may include receiving one or more articles in the material handling system; capturing one or more images of the one or more articles; identifying at least one visual defect indicator on at least one article of the one or more articles; and determining an indication corresponding to at least one of a defect of the at least one article or a portion of the material handling system causing the defect.