Rough Handling Detection via Package Motion Thresholds
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Solution Overview
Problem
Distribution centers face challenges in monitoring and addressing rough handling of goods by workers, which leads to damage and increased labor costs due to the difficulty in simultaneously overseeing multiple workers.
Innovation Solution
A system utilizing a camera and computing device to detect and analyze video streams, identifying person and package trajectories, and determining rough handling by calculating motion distance and speed thresholds, thereby automatically recognizing and alerting staff to potential damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If staff manually monitor multiple workers in the distribution center, then rough handling actions can be detected, but labor costs increase significantly and it becomes difficult to monitor multiple workers simultaneously
Solution Approach 1:
The patent replaces the mechanical monitoring system (human staff physically observing workers) with an automated computer vision system using cameras and image processing algorithms. The system captures video feeds, detects packages and workers, tracks their movements, and automatically identifies rough handling actions through computational analysis, eliminating the need for manual monitoring while maintaining or improving detection reliability.
2Adaptability or versatility
If more staff are hired to monitor more workers, then monitoring coverage improves, but labor costs increase hugely
Solution Approach 1:
The automated monitoring system serves multiple functions simultaneously: it detects packages, identifies workers, tracks their trajectories, recognizes various handling actions, and determines rough handling events. This multi-functional system can monitor unlimited workers across the distribution center without requiring additional human monitors, providing universal coverage while maintaining constant labor costs.
3Measurement precision
If manual monitoring is used to ensure accurate detection of rough handling, then detection precision improves, but the system becomes complex and costly
Solution Approach 1:
The patent replaces human judgment and manual assessment with automated computer vision algorithms that objectively measure and analyze worker-package interactions. The system uses image processing to detect trajectories, calculate motion parameters, and apply predefined criteria for rough handling detection, providing consistent and accurate measurements without the subjectivity and fatigue associated with human monitoring.
Data Source
AI summary
A method and a system for detecting rough handling. The system has a camera and a computing device. The computing device is configured to: receive a video stream captured by the camera; detect persons and packages from video frames of the video stream; construct person and package trajectories based on the detected persons and packages; recognize an action between one person trajectory and one package trajectory, where the action includes the one person picks up, holds, and drops off the one package; and determine existence of a rough handling when, within a predetermined frames after drop-off of the one package, a motion distance of the one package is greater than a threshold distance, and a motion speed of the one package is greater than a threshold speed.