AI RESEARCH
DART: A Vision-Language Foundation Model for Comprehensive Rope Condition Monitoring
arXiv CS.AI
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ArXi:2605.04943v1 Announce Type: cross The condition monitoring (CM) of synthetic fibre ropes (SFRs) used in offshore, maritime, and industrial settings demands than a classifier: inspectors need continuous severity estimates, maintenance recommendations, anomaly flags, deterioration timelines, and automated reports, all from a single inspection image. We present DART (Damage Assessment via Rope Transformer), a vision-language foundation model that addresses the full rope inspection workflow through a unified multi-task architecture.