Object Recognition System Using Digital Copies for Automated Inventory
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Solution Overview
Problem
Current systems for managing large numbers of objects, such as medical instruments, require manual entry of identification numbers or barcode scanning, which can be costly and prone to degradation, making efficient data retrieval and inventory management cumbersome.
Innovation Solution
An object recognition and data retrieval system that uses digital representations of physical objects to identify types and retrieve associated data, allowing for automated storage and inventory management, including interfacing with automated storage cabinets and barcode systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If barcodes are used for object identification, then data retrieval can be automated, but the barcodes deteriorate during cleaning and sterilizing processes
Solution Approach 1:
The patent uses digital images of objects as substitutes for physical barcodes. Instead of relying on physical barcode labels that can be degraded by cleaning and sterilization, the system creates and stores digital representations (images) of the objects. These digital copies are used for identification and data retrieval, eliminating the durability problems of physical barcodes while maintaining automation capabilities.
Solution Approach 2:
The patent replaces the mechanical/optical barcode scanning system with a digital image recognition system. Instead of using physical barcodes that require optical scanners, the system uses digital images stored in a database and retrieves information through digital processing and pattern recognition, substituting the mechanical barcode infrastructure with a digital alternative.
2Loss of information
If manual entry of identification numbers is used, then data can be entered, but the process is time-consuming and prone to errors
Solution Approach 1:
The system enables objects to be automatically identified and cataloged without requiring manual intervention. By using digital images and automated recognition algorithms, the system can independently identify objects, retrieve their data from the database, and update inventory records without manual entry, thereby eliminating both time consumption and human error.
Solution Approach 2:
The system incorporates feedback mechanisms where the digital image recognition system continuously verifies object identification against the database. This feedback loop ensures accurate data retrieval and updates, correcting any potential mismatches between physical objects and their digital representations, thereby maintaining high data accuracy.
3Productivity
If barcodes are applied to all objects, then comprehensive tracking is achieved, but the cost of applying barcodes increases
Solution Approach 1:
Instead of applying physical barcodes to all objects, the system uses digital images as copies of objects for identification purposes. This approach eliminates the need for expensive physical barcode materials and application processes while maintaining comprehensive tracking capabilities through digital means.
Solution Approach 2:
The patent replaces expensive, durable physical barcodes with inexpensive digital image data. The digital representations can be created, stored, and manipulated without the cost constraints of physical materials, effectively using a form of digital disposable data that is costless to replicate and distribute.
Data Source
AI summary
An object recognition and data retrieval system interfaces with a target system, such as an automated storage cabinet, to share object data for storage and retrieval.