This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

Abstract: Recently real-time detection, and recognition of an object of interest are becoming vital tasks in visual data processing and computer vision. Various models have been deployed to implement ...

The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

The Litter Coach is an intelligent system developed to combat littering through real-time object detection. Utilizing the advanced YOLOv8 model, it accurately identifies and labels discarded waste ...

China is concerned by President Donald Trump's proposal for a new U.S. missile defense system, called the Golden Dome, which is designed to protect against adversarial attacks on America. Golden Dome ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

Abstract: The most essential function for fully automated driving is object recognition, as the car has to avoid obstacles. However currently, applying the technology can be challenging as they cost a ...