Paper Details

This Health and safety of the worker is the main concern to save them from the dangerous situation whileworking at the construction site. In India, many workers are ignoring safety precautions like a hard hat, personalprotective equipment, etc which results in fatal injuries, and in some cases, they are losing their lives too. The life of theworker should not be that cheap to let go by ignoring safety majors. Therefore, the protection of the workers frominjuries and accidents is an important issue that should be taken care of. As the construction area is too vital, It isimpossible to be discovered by one supervisor or contractor thus model/ tool needs to be developed to monitor workersby installing cameras at the construction site. The model will detect hard hats automatically and gives a notification if itfinds a worker without a safety hat.Several Deep learning algorithms are being used to detect the hard hat of the worker. computer vision andimage processing techniques are used to get better outcomes. R-CNN family, YOLO versions, SSD, and many morealgorithms are on priority to detect an object. Many machine learning algorithms like the histogram of orientedgradients, haar-like features were used previously to detect the safety hat of the worker.

Nilam Mehta, Dr. Gopi Sanghani, “Construction site SOP on Hard Hat Detection with Deep Learning Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 8, Issue 4, pp. 15-18, April 2021.