Industry 5.0 Amid a Circular Economy IoT for the Environment and Edge AI as Catalysts

Abstract

Smart manufacturing, preventive maintenance, and the distribution of water are just a few of the numerous operations and procedures that the internet of things (IoT) has made feasible. This approach has led to the development of cyber-physical humancentered systems (CPHSs), which leverage operator capabilities to assist complicated manufacturing processes in achieving their goals of adaptability, sustainability, and human-centricity. The suggested CPHS employs smart mist computing nodes and hybrid edge computing architecture to assess thermal pictures and mitigate industrial security concerns. The conducted research indicates that the suggested CPHS methods might recognise human presence in the chosen real-world scenario far too quickly and accurately (in maximum of twelve ms with 98.89% accuracy) using devices with low power (a Raspberry Pi 3B). The research ends with some recommendations to assist managers and developers in the future in overcoming the difficulties associated with implementing the forthcoming wave of CPHSs for intelligent and eco-friendly manufacturing.