Workload Analysis Device Dynamic Work Area Definition
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Solution Overview
Problem
Existing workload analysis techniques fail to accurately identify and assign workers in a work flow due to unclear methods for determining work start and end points, leading to inefficient workload distribution.
Innovation Solution
A workload analysis device equipped with a workpiece detecting unit and a worker detecting unit, utilizing machine learning to recognize process segments and detect workers in a time-series image of a work flow, storing worktimes and worker counts, and generating visual graphs to optimize workload distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If predetermined areas are set to determine work start and end points, then work time measurement is enabled, but accurate identification of workers in variable work areas cannot be achieved
Solution Approach 1:
The system dynamically adjusts the work area definition based on the detected workpiece position. Instead of using fixed predetermined areas, the work area is defined relative to the workpiece location, allowing the system to adapt to variable work areas while maintaining accurate work time measurement. The work area calculation unit computes the work area based on the workpiece position detected by the workpiece detection unit, enabling the system to handle different work scenarios accurately.
2Device complexity
If fixed work areas are used for workload analysis, then workload measurement is simplified, but accurate worker identification in varying work positions is compromised
Solution Approach 1:
The system changes the parameters used to define the work area from fixed spatial coordinates to dynamic parameters based on workpiece position. The work area is redefined as a function of the workpiece location, allowing the system to maintain simple workload analysis procedures while achieving accurate worker identification regardless of workpiece position or work area variations.
3Ease of operation
If predetermined areas are defined for work detection, then work start/end determination is straightforward, but accurate workload analysis in flexible work arrangements fails
Solution Approach 1:
The system performs preliminary detection of the workpiece position and calculates the work area before proceeding with worker detection and workload analysis. This preliminary action establishes the correct reference frame for subsequent operations, ensuring that work start/end determination remains straightforward while achieving accurate workload analysis in flexible work arrangements. The work area is pre-calculated based on workpiece position, enabling simple yet accurate operation.
Data Source
AI summary
A workload analysis device includes: a workpiece detecting unit configured to recognize a process segment in which a worker is working by detecting a workpiece which is a work object in an image of a work flow such as a production line or a fixing or repairing line captured by a camera and acquired via an image acquiring unit; and a worker detecting unit configured to detect a worker in the process segment in the image of the work flow acquired in a time series.