Multi-Object Detection and Classification in Construction Sites Based on YOLOv5

• An automated computer vision-based method using CNN is developed to detect objects on construction sites.

Detecting the presence of workers, plant, equipment, and materials (i.e. objects) on sites to improve safety and productivity has formed an integral part of computer vision-based research in construction. Such research has tended to ...

The number of different types of composite images has grown very rapidly in current years, making object detection an extremely critical task that requires a deeper understanding of various deep learning strategies that help to detect objects with higher ...

Abstract — In this study, the researchers used the deep learning models YOLOv3, VGG16, and ResNet50 for functionalities and for comparing Facemask Detection System using the three different algorithms. The objective of this study is as follows: First is ...