AI-Augmented Visual Inspections in Mining and Heavy Industry

Abstract

AI-enhanced visual inspection solutions are rapidly changing the operational process of mining and heavy industries in
terms of safety, reliability, and efficiency. Through a combination of artificial intelligence and computer vision systems,
these systems can be used to automatically detect defects, wear and anomalies in complex industrial property and
infrastructure. In contrast to the labor-intensive and manual-based inspections, the AI-driven solutions can also be used
to provide scalable, real-time, and consistent inspection of hazardous and inaccessible areas, using high-resolution drone,
fixed camera, and robot-platform-based imagery. Advanced learning models are used to increase accuracy by recognition
of patterns and anomaly detection to aid predictive maintenance and minimize unplanned downtimes. Decision-making is
also enhanced with the introduction of AI-enhanced visual inspections because it provides the outputs of the inspections
with the help of the asset management and maintenance systems. In spite of the associated data quality, environmental
variability and system integration issues, AI-led visual inspection systems present a viable opportunity of safer operations,
streamlined resource use and more resilient operations in heavy industrial and mining industries.