Mobile Scanning System for Non-Machinable Mail Processing
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Solution Overview
Problem
Current systems are inefficient and costly in detecting and processing undeliverable-as-addressed (UAA) mail, particularly non-machinable items that require manual handling by skilled workers, leading to time-consuming and error-prone processes.
Innovation Solution
A mobile scanning system that includes a camera, data processing system, and optical character recognition to digitize and verify addresses, automatically determining disposition and printing labels, capable of processing various mail shapes and reducing the need for skilled labor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processing by skilled workers is used for non-machinable UAA mail, then processing accuracy can be maintained, but processing time increases and labor costs increase
Solution Approach 1:
The patent replaces manual mechanical processing by skilled workers with an automated optical character recognition (OCR) system using cameras and data processing equipment. The system captures images of mail pieces, automatically reads and verifies addresses through OCR technology, and determines disposition without human intervention, thereby maintaining accuracy while dramatically increasing processing speed.
Solution Approach 2:
The system enables mail pieces to be processed automatically through self-service mechanisms where the OCR system independently reads addresses, verifies them against databases, and determines disposition results without requiring skilled worker intervention. The automated label printing system then applies appropriate labels based on the determined disposition.
2Adaptability or versatility
If manual handling of non-machinable mail is performed, then complex shapes can be accommodated, but labor requirements increase and errors occur
Solution Approach 1:
The patent replaces manual handling with an automated imaging and OCR system that captures pictures of mail pieces from multiple angles using cameras. The system processes images digitally to read addresses and determine disposition, eliminating human error while maintaining the ability to handle complex shapes through flexible positioning on the table surface.
Solution Approach 2:
The system is designed to universally handle all types of mail pieces regardless of shape or size. The table surface accommodates various orientations and the camera system captures images adaptively, while the OCR and data processing systems process all address formats uniformly, making the system versatile for non-machinable mail of any configuration.
3Productivity
If automated mail processing equipment is used, then processing speed increases, but non-machinable mail cannot be processed
Solution Approach 1:
The patent introduces a mobile scanning system as an intermediary between traditional automated equipment and manual processing. This intermediate system uses a camera-based imaging approach that can handle non-machinable items on a simple table surface, then processes the captured images through OCR and data processing to achieve automated decision-making, bridging the gap between automation and versatility.
Solution Approach 2:
The system transitions from mechanical dimension-based processing (requiring physical sorting equipment) to an optical-digital dimension by capturing images and processing addresses through software. This dimensional shift allows the system to process non-machinable items that cannot fit through mechanical conveyors by reading addresses from static images taken on a flexible table surface.
4Measurement precision
If skilled workers process UAA mail, then accurate disposition can be determined, but labor costs increase and training requirements increase
Solution Approach 1:
The patent replaces skilled workers with an automated data processing system that uses OCR technology and database lookups to determine disposition. The system automatically queries postal databases using the recognized address information and receives disposition results, eliminating the need for worker expertise while maintaining accurate disposition determination through automated database validation.
Data Source
AI summary
A mail piece processing apparatus and related method. A mail piece processing apparatus includes a base, a table connected to the base by a vertical member, a camera mounted above the table and positioned to take an image of a mail piece on the table, and a data processing system. The data processing system is configured to receive the image of the mail piece from the camera; determine address information and address information of the mail piece according to the image; determine a disposition result for the mail piece according to the image; and cause a label to be printed for the mail piece according to the disposition result.