Image-Based PPE Detection for Automatic Equipment Shutdown
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Solution Overview
Problem
Current methods for monitoring and ensuring personal protective equipment (PPE) compliance are labor-intensive, making it difficult to guarantee that operators wear the required PPE for operating plant, equipment, or machinery, which can lead to industrial accidents or injuries.
Innovation Solution
A computer-implemented method and system that utilize image processing to determine if a user is wearing required PPE by receiving images of the user, processing them to identify the presence of PPE items, and transmitting a signal to shut down or restart equipment based on PPE compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated image processing is implemented to monitor PPE compliance, then productivity and safety monitoring capability are improved, but device complexity increases
Solution Approach 1:
The patent replaces manual PPE compliance checking (mechanical/human inspection) with automated image processing and computer vision algorithms. The system captures images via cameras, processes them through neural networks or image recognition algorithms to detect PPE wear status, and automatically controls equipment operation, eliminating labor-intensive manual monitoring while improving efficiency.
2Reliability
If real-time image processing is performed to ensure PPE compliance, then safety reliability is improved, but use of energy increases
Solution Approach 1:
The system performs image processing at periodic intervals or triggered by specific events (e.g., when equipment is about to start, or at scheduled monitoring points) rather than continuously processing every frame. This approach maintains safety reliability by ensuring PPE compliance is checked at critical moments while reducing overall energy consumption compared to continuous real-time processing of all video streams.
3Ease of operation
If automated PPE detection system is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system enables the equipment itself to perform safety verification by automatically detecting whether the operator is wearing required PPE through image processing. The equipment's control system integrates with the detection system, allowing the equipment to self-verify safety conditions and automatically prevent operation when PPE requirements are not met, eliminating the need for separate manual checking procedures.
Data Source
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AI summary
The present invention relates to an image processing system and an associated method. The method comprises receiving one or more images comprising image data relating to a user of a piece of equipment; processing the one or more images to determine whether a personal protective equipment (PPE) requirement is met, wherein determining whether the PPE requirement is met comprises processing the one or more images to determine whether the user is wearing PPE, and transmitting a signal to the piece of equipment to shut down at least part of the piece of equipment if the PPE requirement is not met.