Dynamic inventory management of prefabricated components using computer vision

In prefabricated construction projects, the supply of prefabricated components is closely related to the project construction progress. Shortage of inventory will delay construction progress, and excessive inventory on the construction site will increase stacking costs. Therefore, on-site inventory management of prefabricated components is crucial for prefabricated construction. This paper employs computer vision to precisely identify the types and quantities of prefabricated components on construction sites. Furthermore, inventory management theory is combined to establish a dynamic inventory management optimization model for prefabricated components. Ultimately, the particle swarm optimization is utilized to determine and obtain the optimal inventory parameters. A dynamic inventory management model for prefabricated components based on real-time monitoring is proposed, and demonstrated and validated through case study. The results can facilitate the progress of prefabricated construction projects as planned, expanding the integration and application prospects of computer vision and inventory management theory in the field of construction management.