HOMEY: Heuristic Object Masking with Enhanced YOLO for Property Insurance Risk Detection

Abstract

This paper introduces HOMEY (Heuristic Object Masking with Enhanced YOLO), a novel framework for automated property insurance risk detection. By integrating domain-specific masking strategies with an enhanced YOLO architecture and a custom risk-aware loss function, the model effectively detects 17 categories of property-related risks, including structural damage, maintenance neglect, and liability hazards. Experimental results demonstrate improved detection accuracy and robustness over baseline YOLO models while maintaining real-time inference capability.

Publication
In arXiv:2603.18502 [cs.CV] – Proof-of-Concept for Property Insurance Risk Detection

Teerapong Panboonyuen
Teerapong Panboonyuen

My research focuses on leveraging advanced machine intelligence techniques, specifically computer vision, to enhance semantic understanding, learning representations, visual recognition, and geospatial data interpretation.

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