This repository implements a YOLOv5 v2.x-based object detection system for smart construction safety monitoring. It detects persons, heads, helmets, and dangerous zone violations in construction site imagery. The project provides trained model weights (yolov5s/m/l variants), training configuration files, and a detailed tutorial for training custom datasets. A visualization interface is included for easier result inspection.