Emergency services like ambulances, fire brigades, etc. are essential pillars of any country.
In certain situations, the delayed arrival of ambulances at hospitals can pose a risk to the …

Ambulance vehicles face a challenging issue in minimizing the response time for an
emergency call due to the high volume of traffic and traffic signal delays. Several research …

Drones are gaining popularity in various fields, including delivering products, disaster
management, entertainment, airport security, and more. As a result, the odds of a drone …

This paper highlights the topic of object recognition and its algorithms, used in detection of
different objects. By using the concept of object recognition, emergency vehicles like …

In the contemporary era, the global explosion of traffic has created many eye-catching
concerns for policymakers. This not only enhances pollution but also leads to several road …

The proposed DDT-CNN model represents a deep learning architecture-based
comprehensive system for drone detection and classification. YOLOv8 a cutting-edge object …

Nowadays, surveillance across the borders is a major issue since the dropping and supply
of ammunition, explosives, and weapons is done using drones. In this paper, an …

Owing to the rising threat of employing drones in unlawful acts, detection of drones has
recently gained tremendous importance in the field of security and surveillance. Artificial …

This study outlines the creation of an object detection model utilizing YOLOv5 Small,
designed to identify and categorize ambulances on the road, distinguishing them based on …

The advancements in unmanned aerial vehicle (UAV) technology have revolutionized aerial
surveillance and monitoring applications, with vehicle detection being a crucial aspect in …