Automated Parcel Imaging Tunnel for Tracking Data Extraction
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Solution Overview
Problem
Materials handling facilities face significant burdens and costs in receiving shipment parcels due to varying vendor and carrier formats, tracking information errors, and exceptions such as damaged packages or defective tracking data, which complicates the process and increases costs.
Innovation Solution
A parcel receiving system with an imaging tunnel that captures images of parcels, analyzes them for tracking information, detects exceptions through sensors and image analysis, and automatically updates records, reducing the need for manual intervention and exception handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry of tracking information is used for each parcel, then tracking accuracy can be maintained, but labor costs and processing time increase significantly
Solution Approach 1:
The patent replaces manual mechanical data entry with an automated optical scanning system using cameras and image processing algorithms. The system captures images of parcels on the conveyor belt and automatically extracts tracking information through pattern recognition and OCR techniques, eliminating the need for manual keyboard entry while maintaining high accuracy through automated data validation.
Solution Approach 2:
The system enables parcels to 'self-identify' by capturing images of their own labels and tracking information. The automated image processing system extracts data directly from the parcel labels without human intervention, allowing the parcel receiving process to proceed autonomously through multiple stages including initial scanning, verification, and exception handling.
2Productivity
If automated image processing is implemented, then processing speed increases, but system complexity and initial costs increase
Solution Approach 1:
The patent divides the parcel receiving system into distinct functional modules: an imaging tunnel with cameras for capturing parcel images, an image processing system for extracting tracking information, a verification system for validating data accuracy, and an exception handling system for managing problematic parcels. This modular segmentation allows each component to be optimized independently and simplifies system maintenance and scaling.
Solution Approach 2:
The imaging system serves multiple functions: capturing parcel images for tracking information extraction, verifying label readability, detecting parcel characteristics, and creating a visual record for exception handling. This multi-functionality reduces the need for separate specialized equipment, thereby managing system complexity while maximizing productivity benefits.
3Stability of the object's composition
If all parcels are processed through standard receiving procedures, then process consistency is maintained, but exception handling becomes more time-consuming
Solution Approach 1:
The system performs preliminary verification of tracking information and parcel integrity during the initial image capture phase. By automatically detecting potential exceptions such as illegible labels, damaged packaging, or missing information before the parcel leaves the imaging tunnel, the system flags these parcels for special handling downstream, preventing bottlenecks later in the receiving process and maintaining overall process consistency.
Data Source
AI summary
Disclosed are various embodiments of systems and methods for receiving shipment parcels at, for example, materials handling facilities. In some embodiments, a parcel monitoring system detects an exception for a shipment parcel. The parcel monitoring system identifies a vendor associated with the shipment parcel. In response to the exception being detected, the parcel monitoring system controls a conveyor system in accordance with an action specified by an exception handling rule for the vendor.