Ensuring safety in the workplace is crucial to the wellbeing of workers and the success of
organizations. One essential aspect of workplace safety is the use of safety helmets in …

This paper introduces a novel approach for detecting faults in photovoltaic (PV) cells. The
proposed method combines You Only Look Once version 8 (YOLOv8) and the Particle …

Surveillance cameras are ubiquitously used as a part of the safety risk monitoring system.
Powered by the artificial intelligence (AI) technologies, the system started to detect the …

To solve problems such as the low detection accuracy of helmet wearing, missing detection
and poor real-time performance of embedded equipment in the scene of remote and small …

Safety helmets are very important for the life safety of operators in construction sites, mines
and other high-risk operating environments. Therefore, based on the YOLOv8 framework …

Small objects detection is a major challenge in computer vision and one well-known
example of this is helmet detection. Helmets have a small size, which limits typical YOLO …

It is crucial to ensure workers wear safety helmets when working at a workplace with a high
risk of safety accidents, such as construction sites and mine tunnels. Although existing …

Aiming at the problem that existing human motion detection algorithms have low recognition
accuracy on complex backgrounds, this paper proposes a human action recognition …

Under the call of the corresponding country, urban construction has been attached
importance. The following is the safety of construction workers, safety helmet, safety belt …

Wearing helmets has been a mandatory guideline for construction sites, mining, drilling and
other fields. For different complex scenes, there is a wide demand for efficient and accurate …