Abstract: The paper presents an early fire-alarm raising method based on video processing. The basic idea of the proposed of fire-detection is to adopt a RGB (red, green, blue) model based chromatic ...

Abstract: The recent advances in embedded processing have enabled the vision based systems to detect fire during surveillance using convolutional neural networks (CNNs). However, such methods ...

A detection robot developed under the leadership of TU Graz can "sniff out" hazardous substances and support high-risk fire service operations as a remote-controlled advance guard. A recent study ...

Developed by CGI's team in Italy, Insula processes and harmonizes large volumes of satellite data, enabling advanced analytics such as trend detection, anomaly monitoring and predictive modelling. For ...

An internal argument is brewing throughout the auto world over the ultimate approach for autonomous driving: should ...

A four-legged robot dog designed to detect toxic substances could soon become the first responder sent into dangerous areas and help firefighting crews assess the damage without risking their own ...

It is a common sight at public parks, schools and housing complexes: waste scattered on the grass just a few feet away from ...

Neuromorphic sensors leverage brain signaling principles for proprioceptive sensing, achieving low power consumption and rapid environmental responsiveness.

The death toll has risen to 1,450 people, according to the Venezuelan government, but that grim figure is likely to be a ...

The CSIS Hess Center for New Frontiers empowers leaders to navigate uncertainty through trend analysis, applied foresight, and scenario planning, bringing together research and analysis from across ...