Human–Work-Body Position Detection for Shared-Work-Area Safety
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Solution Overview
Problem
Existing systems fail to effectively manage the positional relationships between humans and work bodies in shared work areas, leading to potential collisions or unsafe interactions.
Innovation Solution
An information processing device that acquires detection information to determine the positional relationship between a human and a work body, and uses a notification unit to alert the human when a predetermined unsafe condition is detected, adjusting the alert information based on proximity, collision risk, and past notification history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a notification system is implemented to alert humans of unsafe positional relationships with work bodies, then safety is improved, but device complexity increases
Solution Approach 1:
The notification system is segmented into multiple independent components: detection units for positional relationship detection, calculation units for risk assessment, and notification units for alert delivery. This modular segmentation allows each component to perform its specific function independently, improving safety while managing system complexity through functional decomposition.
Solution Approach 2:
The system performs preliminary detection and calculation of unsafe positional relationships before actual collisions or harmful interactions occur. By continuously monitoring and predicting potential dangers in advance, the notification system alerts humans proactively, enabling preventive action before incidents happen, thus improving safety without requiring complex reactive measures.
2Reliability
If continuous monitoring and notification of positional relationships is implemented, then collision risk is reduced, but loss of time increases due to frequent notifications
Solution Approach 1:
The notification system applies local quality by providing differentiated alert levels based on the specific positional relationship and risk assessment. Instead of uniform continuous notifications, the system calculates the degree of unsafety and delivers targeted notifications only when thresholds are exceeded, reducing unnecessary time loss while maintaining collision risk reduction through precise, context-aware alerting.
Solution Approach 2:
The system changes notification parameters (frequency, intensity, type) based on the calculated risk level of positional relationships. When the work body and human are in highly unsafe positions, notifications are frequent and prominent; when risks are low, notifications are reduced or eliminated. This dynamic parameter adjustment maintains safety while minimizing time loss from excessive notifications.
Data Source
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AI summary
Provided is an information processing device including: an acquisition unit that acquires detection information obtained by detecting a positional relationship in a work area between a human and a work body working together with the human in the work area; and a control unit that causes, on the basis of the detection information acquired by the acquisition unit, a notification unit mounted on the work body to notify the human of alert information that urges the human to pay attention in a case in which the positional relationship is a predetermined relationship.