The higher the complexity and size of H-shape steel components, the more productivity challenges a coating factory encounters, particularly when catering to the intricate demands of customer-oriented industries. This research aims to devise efficient coating paths for H-shape steel components, replacing labor-intensive manual processes. The review of existing literature highlights methodologies involving parameter adjustment, configuration recognition, and optimization of coating paths for H-shape steel components. Utilizing a comprehensive database of H-shape steel components, an algorithm is developed to accurately identify components (>90% accuracy) and subsequently streamline the coating process. Through a comparative evaluation involving 99 diverse scenarios of H-shape steel coating, the results demonstrate an average time reduction of 24.6% compared to manual coating methods. This finding bears significance, given the industry’s challenges with a scarcity of skilled labor and elevated coating expenses, both of which hinder smooth business operations for practitioners.