Uncompromising Operator Safety: A Standalone Device Approach for Threat Immunity and Malfunction Prevention through Visual Cognition

The emergence of Industry 4.0 has generated significant attention regarding the mitigation of security breaches and ensuring operator safety within industrial settings. This scholarly article addresses the concept of cognitive interaction within Industry 4.0 frameworks and elucidates the pivotal role of a stand-alone system deployed in industrial environments. The system in question leverages an edge standalone architecture, incorporating a visual cognition AI model to proactively safeguard operators working in conjunction with robots. Moreover, this article delineates an end-to-end integration methodology encompassing visual detection, hardware integration, and the overarching objective of safeguarding operators in the event of a system compromise.