Face mask detection is a technological application that employs computer vision
methodologies to ascertain the presence or absence of a face mask on an individual …

Significant threats to ecological equilibrium and sustainable agriculture are posed by the
extinction of animal species and the subsequent effects on farms. Farmers face difficult …

With the rise of global smart city construction, target detection technology plays a crucial role
in optimizing urban functions and improving the quality of life. However, existing target …

The key to intelligent seed potato cutting technology lies in the accurate and rapid
identification of potato bud eyes. Existing detection algorithms suffer from low recognition …

Unmanned aerial vehicle (UAV) detection in real-time is a challenging task despite the
advances in computer vision and deep learning techniques. The increasing use of UAVs in …

Background Although zebrafish are increasingly utilized in biomedicine for CNS disease
modelling and drug discovery, this generates big data necessitating objective, precise and …

Deep learning-based object detection has become a powerful tool in dress code monitoring.
However, even state-of-the-art detection models inevitably suffer from false alarms or missed …

This study investigates how pedestrian crossings impact both the speed dynamics and
capacity of roundabouts, aiming to optimize traffic flow. Pedestrians traditionally hold priority …

The stability of wind turbines is closely related to the economic benefits of wind energy. To
improve the stability of the wind turbine, a comprehensive image diagnosis method based …

Intelligent transport systems aim to enhance efficiency and safety in urban mobility,
employing technologies like computer vision to detect vehicles and license plates in images …