Worker Movement Job Type Determination via Area-Specific Determiners
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Solution Overview
Problem
Existing recognition systems in factories face inefficiencies and high costs when trying to determine worker job types using multiple determiners, as they struggle to accurately identify movements across various job areas with a single common determiner, and require frequent updates to maintain productivity.
Innovation Solution
A determination device that identifies worker positions and selects appropriate determiners based on job areas to efficiently determine job types, using a combination of position and movement sensors, and updates determiners associated with specific job areas to improve accuracy and reduce costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single common determiner is used to recognize worker movements across various job areas, then the device complexity is reduced, but the measurement precision deteriorates
Solution Approach 1:
The patent divides the factory space into multiple job areas (first job area, second job area, etc.), each with its own dedicated determiner. This segmentation allows each determiner to be optimized for specific movements in its designated area, improving measurement precision while maintaining manageable system complexity through modular organization.
Solution Approach 2:
Each job area is assigned a determiner with specialized characteristics tailored to the specific movements and tasks of that area. The first determiner is optimized for movements in the first job area, the second determiner for the second job area, and so on, ensuring local optimization of recognition accuracy for each specific work context.
2Measurement precision
If multiple determiners are used concurrently to recognize movements in various job areas, then the measurement precision improves, but the productivity deteriorates
Solution Approach 1:
By segmenting the recognition system into area-specific determiners, the patent enables parallel independent operation of each determiner for its designated job area. This segmentation allows the system to maintain high measurement precision through specialized determiners while preserving productivity by avoiding the overhead of coordinating multiple general-purpose determiners.
Solution Approach 2:
Each determiner autonomously handles movement recognition for its specific job area without requiring coordination or communication with other determiners. This self-service approach eliminates the computational overhead and synchronization requirements that would reduce productivity, while each determiner maintains high accuracy for its specialized domain.
3Adaptability or versatility
If multiple determiners are used to cover various job areas, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The patent segments the factory into distinct job areas, each with its own determiner, creating a modular system that is adaptable to different work environments. This segmentation improves adaptability by allowing easy addition or modification of area-specific determiners without affecting the entire system, while maintaining manageable complexity through clear spatial organization.
Solution Approach 2:
While each determiner is specialized for its job area, the overall system achieves universality by covering multiple job areas with area-specific determiners. The system can adapt to different factory layouts and job types by configuring determiners for each area, providing versatile coverage without requiring a single complex universal determiner.
4Adaptability or versatility
If determiners are constantly updated to maintain productivity, then the adaptability improves, but the loss of time increases
Solution Approach 1:
By segmenting the determiner system into area-specific units, the patent enables independent updates of individual determiners without requiring system-wide updates. This segmentation reduces the time loss associated with updates, as only the specific determiner for the modified job area needs to be updated, while other determiners continue to operate unchanged.
Solution Approach 2:
Each determiner is pre-configured and optimized for its specific job area before deployment. This preliminary action allows the system to maintain high adaptability for productivity optimization without requiring frequent updates, as the determiners are already tailored to their respective areas' specific requirements and movement patterns.
Data Source
AI summary
A determination device according to an embodiment includes one or more processors. The processors identify a worker position. The processors identify a job area which includes the worker position. The processors select, from among a plurality of determiners meant for determining job details of persons from movement information indicating movements of persons, at least one determiner associated with the job area. The processors generate worker movement information indicating movements of a worker. The processors use the at least one selected determiner and determine a job type indicating job details of the worker based on the worker movement information.