OCR System for Automated Identification Code Generation
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Solution Overview
Problem
The manual reading and recording of small, invisible identification information on mobile devices and accessories during the return process is slow and error-prone.
Innovation Solution
A system and method using optical character recognition (OCR) and a custom graphical user interface (GUI) to automatically create a machine-readable code from identification information captured from articles using a digital camera and custom fixtures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual reading and recording of identification information is used, then operators can process articles, but the process is slow and error-prone due to small, invisible characters
Solution Approach 1:
The patent replaces the manual mechanical process of reading and recording identification information with an automated optical system. A digital camera captures images of the identification information, and optical character recognition (OCR) software automatically extracts and records the data, eliminating the need for manual reading and recording operations.
Solution Approach 2:
The patent introduces an intermediary OCR system that acts as a mediator between the identification information on articles and the recording system. The OCR software serves as an intermediary that captures, processes, and converts the visual identification information into machine-readable format, improving both speed and accuracy.
2Measurement precision
If magnification tools are used to read small characters, then reading accuracy improves, but the process becomes slower and more complex
Solution Approach 1:
The patent replaces manual magnification tools with a digital camera-based optical system. Instead of using physical magnifiers and manual reading methods, the system uses digital image capture and OCR technology to automatically read and interpret identification information, maintaining high accuracy while dramatically improving processing speed.
3Ease of operation
If manual recording of identification information is performed, then flexibility is maintained, but errors increase and efficiency decreases
Solution Approach 1:
The patent replaces manual recording operations with automated digital capture and OCR processing. The system automatically captures identification information through a digital camera, processes it through OCR software, and records it in digital format, eliminating manual transcription errors while maintaining operational flexibility through software-based processing.
Data Source
AI summary
A system to create a machine-readable code includes a digital camera; a computer including a processor communicatively coupled to the digital camera; and a monitor to display a graphical user interface provided by the computer, wherein the processor is configured to execute an application stored in a memory that is communicatively coupled to the processor, the application, when executed, causing the processor to: command the digital camera to capture a first image of identification information marked on an article, perform optical character recognition of the first image to identify characters of the identification information and create therefrom a second image, display the first image and the second image via the graphical user interface on the monitor so that the first image can be compared to the second image, and create a machine-readable code representing the identification information.