Year: 2024
Type: article
Abstract: The construction industry is highly labor-intensive and often fraught with risks due to hazardous conditions. Ensuring worker safety and efficient monitoring is essential to prevent accidents, improve productivity, and meet regulations. This paper proposes a smart safety and activity monitoring system using IoT sensors, wearable devices, and real-time analytics to track workers' vital signs, movements, and locations, promoting a safer and more efficient work environment[1]. KEYWORDS — IOT (INTERNET OF THINGS), DNN (DEEP NEURAL NETWORK), IOU (INTERSECTION OVER UNION)
DOI: 10.55041/ijsrem40374
Authors: Dept.of.CS&E PESITM Shimoga, India, Prajwal A, Bhoomika S, Spurthi H S, Shivanand Maradi, Priya G
Language: English
Subfield: Radiological and Ultrasound Technology
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4405947096