Traffic violations by motorcycle riders pose a significant risk to urban road safety. In this
paper, we present a novel approach that utilizes computer vision algorithms to detect and …

Road safety is of utmost importance, and helmet compliance for motorcyclists plays a crucial
role in mitigating severe injuries and fatalities. Monitoring and enforcing helmet usage …

The use of helmets is essential for motorcyclists' safety, but non-compliance with helmet
rules remains a common issue. In this study, we extend the frontier of AI video analytic …

Video surveillance-based automated detection of helmet use among motorcyclists has the
potential to improve road safety by aiding in the implementation of enforcement initiatives …

Implementing and monitoring traffic rules are essential for reducing accident rates and traffic
rule violations. The automated traffic rule monitoring system ensures strict adherence to the …

The lack of helmet use in motorcyclists is one of the main risk factors with severe
consequences in traffic accidents. Wearing a certified motorcycle helmet can reduce the risk …

Ship detection in the maritime domain awareness field has seen a significant shift towards
deep-learning-based techniques as the mainstream approach. However, most existing deep …

The issue of worker safety at construction sites has become increasingly prominent within
the construction industry. Safety helmet usage has been shown to reduce accidents among …

Ensuring compliance with traffic regulations, such as wearing helmets and obeying traffic
signals, is crucial for enhancing road safety, particularly among motorcycle riders. In this …

The field of helmet detection faces challenges due to small targets, complex backgrounds,
and confusion with neighbouring objects. This paper proposes a faster real-time two …