A team of researchers at NYU’s Tandon School of Engineering has built an AI-powered fire detection system that can identify flames and smoke in real-time, using nothing more than the standard CCTV cameras already installed in many buildings.
A image of fire flame on a black background.
Study: Artificial Intelligence-Integrated Autonomous IoT Alert System for Real-Time Remote Fire and Smoke Detection in Live Video Streams. Image Credit: Volodymyr TVERDOKHLIB/Shutterstock.com
The system works by analyzing live video feeds with a powerful combination of deep learning models, including Scaled-YOLOv4 and EfficientDet. It’s fast (capable of spotting fire in as little as 0.016 seconds per frame) and accurate, thanks to a smart design that uses multiple models working together to reduce false alarms. Best of all, it doesn’t require expensive thermal cameras or special sensors. If a building has security cameras and internet access, it could use this system.
Sign in to keep reading
We're committed to providing free access to quality science. By registering and providing insight into your preferences you're joining a community of over 1m science interested individuals and help us to provide you with insightful content whilst keeping our service free.
/w=1920,quality=90,fit=scale-down)
