Low visibility hazard detection in construction sites is a crucial task for prevention of fatal accidents. Manual monitoring of construction workers to ensure they follow the safety rules (e.g., wear … [Read more...] about Random Finite Set-Based Anomaly Detection for Safety Monitoring in Construction Sites
Detectors
Automatic Detection of Hardhats Worn by Construction Personnel: A Deep Learning Approach and Benchmark Dataset
Hardhats play an essential role in protecting construction individuals from accidents. However, wearing hardhats is not strictly enforced among workers due to all kinds of reasons. To enhance … [Read more...] about Automatic Detection of Hardhats Worn by Construction Personnel: A Deep Learning Approach and Benchmark Dataset
Technologies Currently Available to Obtain the Occupancy Rate of Resources on a Construction Site
The construction industry is utilizing new emerging technologies that have the potential to help managers and contractors to track the work progress on construction sites. Combined with scheduling … [Read more...] about Technologies Currently Available to Obtain the Occupancy Rate of Resources on a Construction Site
Design and Implementation of Vision Based Safety Detection Algorithm for Personnel in Construction Site
The failure of construction workers to wear safety equipment as required is an important cause of safety accidents. In fortunate cases people are injured and severe cases can cause death. In order to … [Read more...] about Design and Implementation of Vision Based Safety Detection Algorithm for Personnel in Construction Site
Using Driver State Detection in Automated Vehicles
The next several years will bring a large increase in automated vehicle capabilities. High levels of automation will require bi-directional transfers of control between the driver and vehicle. These … [Read more...] about Using Driver State Detection in Automated Vehicles
Automated Detection of Workers and Heavy Equipment on Construction Sites: A Convolutional Neural Network Approach
Detecting the presence of workers, plant, equipment, and materials (i.e. objects) on sites to improve safety and productivity has formed an integral part of computer vision- based research in … [Read more...] about Automated Detection of Workers and Heavy Equipment on Construction Sites: A Convolutional Neural Network Approach