Deep Learning-Based Automatic Safety Helmet Detection System for Construction Safety

Automatic Safety Helmet Wearing Detection

Surveillance is very essential for the safety of power substation. The detection of whether wearing safety helmets or not for perambulatory workers is the key component of overall intelligent surveillance system in power substation. In this paper, a novel and practical safety helmet detection framework based on computer vision, machine learning and image processing is proposed. In order to asce...

Improving Construction Safety Construction Safety

John W. Mroszczyk, Ph.D., P.E., CSP, is president of Northeast Consulting Engineers Inc. in Danvers, MA. He holds a B.S. in Aerospace Engineering from Boston University, and an M.S. in Mechanical Engineering and a Ph.D. in Applied Mechanics, both from Massachusetts Institute of Technology. Mroszczyk has been an active member of the OSHA Alliance Construction Roundtable. He is a professional mem...

Vision-based active safety system for automatic stopping

Intelligent systems designed to reduce highway fatalities have been widely applied in the automotive sector in the last decade. Of all users of transport systems, pedestrians are the most vulnerable in crashes as they are unprotected. This paper deals with an autonomous intelligent emergency system designed to avoid collisions with pedestrians. The system consists of a fuzzy controller based on...

Deep Learning Based Automatic Immune Cell Detection for Immunohistochemistry Images

Immunohistochemistry (IHC) staining is a widely used technique in the diagnosis of abnormal cells such as cancer. For instance, it can be used to determine the distribution and localization of the differentially expressed biomarkers of immune cells (such as T-cells or B-cells) in cancerous tissue for an immune response study. Typically, the immunological data of interest includes the type, dens...

Developing a Construction Safety Management System