3 papers
cs.CV2024
A Deep Learning Approach to Detect Complete Safety Equipment For Construction Workers Based On YOLOv7
Md. Shariful Islam, SM Shaqib, Shahriar Sultan Ramit +3
In the construction sector, ensuring worker safety is of the utmost significance. In this study, a deep learning-based technique is presented for identifying safety gear worn by co…
cs.CV2024
Unleashing the Power of Transfer Learning Model for Sophisticated Insect Detection: Revolutionizing Insect Classification
Md. Mahmudul Hasan, SM Shaqib, Ms. Sharmin Akter +3
The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technolo…
cs.CV2024
Vehicle Speed Detection System Utilizing YOLOv8: Enhancing Road Safety and Traffic Management for Metropolitan Areas
SM Shaqib, Alaya Parvin Alo, Shahriar Sultan Ramit +3
In order to ensure traffic safety through a reduction in fatalities and accidents, vehicle speed detection is essential. Relentless driving practices are discouraged by the enforce…