Mobile OCR Address Recognition for Parcel Data Capture
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Solution Overview
Problem
Courier, express, and Postal (CEP) companies face challenges in capturing and linking essential EDI data for parcels, leading to manual processing and increased operational costs due to the lack of automated systems, which affects delivery timelines and customer service.
Innovation Solution
The implementation of mobile OCR technology with intelligent directory services allows for the instantaneous extraction and verification of parcel address data at the sender location, enabling automatic linking of barcode and destination address data without the need for an over-the-air network connection, thereby increasing successful automated EDI rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processing is used to capture and link EDI data for parcels, then data accuracy can be maintained through human verification, but processing time increases significantly and operational costs rise
Solution Approach 1:
The patent replaces manual mechanical data entry and verification processes with an automated optical character recognition (OCR) system. The mobile device captures images of parcel labels and automatically extracts address data through optical recognition, eliminating the need for manual typing and verification while maintaining high accuracy through automated error detection and correction algorithms.
Solution Approach 2:
The system enables self-service data capture where the parcel label itself provides the data through visual recognition. The mobile device automatically extracts address information from the label image without requiring human intervention for data entry, and the system performs self-verification by checking data completeness and validity before submission.
2Productivity
If automated sortation systems are implemented, then processing speed and productivity increase, but the system requires complete and accurate EDI data which is often missing from captured parcels
Solution Approach 1:
The system performs preliminary data capture and verification at the point of parcel collection using mobile devices. Address data is extracted and validated before the parcel enters the automated sortation system, ensuring that complete and accurate EDI information is available in advance. This preliminary action prevents parcels from being diverted to manual processing later in the workflow.
Solution Approach 2:
The mobile device acts as an intermediary between the parcel label and the automated sortation system. It captures the label image, extracts address data through OCR, verifies completeness against required fields, and submits the data to the sortation system. This intermediary process ensures data quality before automated processing begins.
3Adaptability or versatility
If centralized EDI data capture is used at depots, then all parcels can be processed through a single system, but the complexity of managing manual processing queues and multiple operators increases
Solution Approach 1:
The patent segments the centralized data capture function into distributed mobile units that can be deployed across multiple collection points. Each mobile device operates as an independent data capture station, performing OCR and verification locally. This segmentation eliminates the need for a complex centralized manual processing queue while maintaining comprehensive coverage across the operation.
4Productivity
If more operators are assigned to manual processing to handle high parcel volumes, then data capture capacity increases, but labor costs and operational complexity increase
Solution Approach 1:
The mobile OCR system replaces human operators in the data capture function. Each mobile device autonomously captures label images, extracts address data through optical recognition, and submits it to the sortation system. This substitution eliminates the need for multiple manual data entry operators while maintaining or increasing data capture capacity.
Data Source
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AI summary
There is described a portable handheld or kiosk-mountable apparatus to decentralize processing a mail piece or parcel. The apparatus has at least one digital processer and memory for executing software components, a camera for digital image capture, and a wireless communications module to support over-the-air services. The software components include: (a) a recognition system interface layer to provide address recognition services to an application layer; (b) a native address recognition component operable to process a digital image captured by the camera to generate preliminary address data; (c) a directory adapter component to provide address verification services to verify, correct or complete preliminary address data; and (d) a native delivery address database directory. The recognition system interface layer including a first interface for communication with the native address recognition component, and a second interface for wireless communication over-the-air with a remote address recognition service, the recognition system interface layer being configured for selectively utilizing one or both of the native address recognition component and the remote address recognition service for address recognition. The directory adapter component including a first interface for communication with the native delivery address database directory, and a second interface for wireless communication over-the-air with a remote delivery address database directory service, the directory adapter component being configured for selectively utilizing one or both of the native delivery address database directory and the remote delivery address database directory service to verify, correct or complete preliminary address information produced by the address recognition services.