Mist and Edge Computing Cyber-Physical Human-Centered Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging...

Area of Science:

• Industrial Engineering
• Human-Computer Interaction
• Cyber-Physical Systems

Background:

• The global shift towards Industry 5.0 emphasizes human-centricity, resilience, and sustainability.
• Cyber-Physical Human-centered Systems (CPHSs) are crucial for integrating human capabilities into complex manufacturing.
• Existing systems require advancements to meet Industry 5.0 goals.

Purpose of the Study:

• To define the core concepts and requirements for developing Industry 5.0 CPHSs.
• To analyze current CPHS implementations and identify key components and challenges.
• To present a practical application of an Industry 5.0 CPHS for enhanced industrial safety.

Main Methods:

• Conceptual framework development for Industry 5.0 CPHSs.
• Analysis of existing CPHS designs and technologies.
• Implementation of a hybrid edge computing architecture with mist computing nodes for real-time image processing.
• Development and testing of human presence detection algorithms using thermal imaging.

Main Results:

• A novel CPHS architecture effectively integrates human operators with collaborative robots and heavy machinery.
• The system demonstrated fast and accurate human presence detection (97.04% accuracy in <10 ms) using low-power devices.
• The proposed solution offers a cost-effective, resilient, and computationally efficient approach.

Conclusions:

• The developed CPHS is a viable solution for improving safety and operational tracking in Industry 5.0 manufacturing.
• Guidelines are provided for overcoming challenges in deploying next-generation CPHSs.
• The research contributes to the advancement of smart and sustainable manufacturing practices.