Fire Detection and Safety Systems
Fire Detection and Safety Systems is a topic indexed in ScholarIQ from OpenAlex.
What is known about Fire Detection and Safety Systems?
This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, and unmanned aerial vehicle (UAV) based systems. The research covers a wide range of methods including convolutional neural networks, statistical color models, multi-feature fusion, and IoT-based intelligent modeling for fire prevention and safety.
How many works does Fire Detection and Safety Systems have?
Fire Detection and Safety Systems has 64 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Fire Detection and Safety Systems?
The OpenAlex for Fire Detection and Safety Systems is on the source record.