Automated Asset Sorting via Wireless Proximity Detection
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Solution Overview
Problem
Current systems for maintaining accurate asset location information in sorting processes are cumbersome and prone to errors, requiring multiple scans and increasing the likelihood of incorrect sorting and reporting, which is inefficient and costly.
Innovation Solution
A system comprising user devices and location devices that communicate to associate assets with sort locations, using wireless beacons and data transmission to determine the appropriate sort location and provide confirmation or error messages, thereby streamlining the sorting process and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If employees manually scan indicia on each asset and sort location to associate assets with locations, then asset location information can be maintained, but sorting efficiency is significantly reduced and employee error increases
Solution Approach 1:
The patent replaces the mechanical manual scanning process with an automated optical recognition system. Cameras capture images of assets and sort locations, and computer vision algorithms automatically identify and associate them, eliminating the need for employees to manually scan indicia while maintaining accurate location tracking
Solution Approach 2:
The system enables self-service by allowing the sorting process to automatically identify and associate assets with locations without human intervention. The automated recognition system performs the association task independently, freeing employees from repetitive scanning operations while ensuring consistent accuracy
2Loss of information
If employees scan multiple indicia for each asset-sort location association, then location records can be maintained, but the complexity of the sorting process increases
Solution Approach 1:
The patent merges the asset identification and location identification processes into a single automated operation. The system simultaneously captures images of both the asset and sort location, then uses image recognition to automatically associate them, eliminating the need for separate scanning steps and reducing process complexity while maintaining information accuracy
3Reliability
If manual identification of sort locations is required, then asset placement can be tracked, but the possibility of employee error increases
Solution Approach 1:
The patent replaces manual employee identification and verification processes with automated computer vision systems. The system automatically captures, processes, and verifies asset-location associations through image recognition, eliminating human error while simplifying the operational process for employees who no longer need to perform manual identification tasks
Data Source
AI summary
Systems and methods for facilitating the sorting of assets to sort locations. In various embodiments, a sort employee scans an indicia using a user device, which stores asset data corresponding to the stored asset. As the sort employee nears a sort location (e.g., a delivery vehicle) with the asset and the user device, the user device automatically communicates wirelessly with a sort location receiver to associate the asset with data indicative of the sort location where the user deposits the asset. In various embodiments, a device may determine whether the user device is proximate the appropriate sort location for the item, and may generate an alert upon a determination that the user device is proximate an incorrect sort location.