The study includes an analysis of the use of artificial neural networks of the YOLO family of
architectures for monitoring safety in hazardous enterprises. A software module based on …

The article deals with the tasks of searching and classifying objects in images for the
purpose of analyzing industrial risks. The objects of recognition are the presence of signal …

Perimeter protection has crucial importance for the security of forces and deployed military
troops in the field. The goal is to protect the base from intruders who can approach on foot or …

The growing deployment of computer vision in industrial processes significantly contributes
to strengthening the manufacturing sector in terms of productivity and safety of the workers …

The detection of personal protective equipment (PPE) has grown to be a significant concern
in a variety of industries. Ensuring that workers have the proper safety gear, such as hard …

In today's world, where production processes are becoming increasingly automated,
ensuring safety on production sites is becoming a priority. Conventional methods of …

The article is devoted to the analysis of comparison of the architecture of two convolutional
neural networks, namely YOLOv5 and YOLOv8. It was found that they do not make a very …

Search and rescue operations are carried out in close collaboration with the community and
as a team effort. When a community is affected by natural disasters the rescue operation …

Efficient detection and classification of devices are very important for effective maintenance
in hydropower stations. However, the conventional manual approach suffers from low …

The study focuses on developing and refining an advanced object detection model for
integration into security systems. It begins with an exploration of challenges during early …