Iskander el Amri Profile

Edge of Safety: AI Vision and IoT Redefining Risk Detection in High-Stakes Industries

In high-stakes industries like construction, manufacturing, and energy, safety has traditionally been reactive, addressing risks after incidents occur. This abstract explores how AI-powered computer vision and the Artificial Intelligence of Things (AIIoT) are revolutionizing safety management. By integrating real-time data from IoT sensors with advanced vision algorithms, these technologies detect emerging risk patterns—such as equipment anomalies, unsafe behaviors, or environmental hazards—before they escalate.

In construction, AI identifies fall risks or structural weaknesses; in manufacturing, it monitors machinery and worker fatigue; and in energy, it flags potential system failures. Shifting from reactive responses to proactive prevention, this approach enhances decision-making, reduces downtime, and saves lives. Drawing on case studies and cutting-edge research, we highlight how these innovations empower industries to predict and mitigate risks with unprecedented precision.

Challenges, including data integration and ethical considerations, are also addressed. This session will demonstrate how AI and AIIoT are setting a new standard for safety, aligning with the Safety on the Edge 2025 theme of pushing boundaries through technology.