As we know, the digital world is growing each and every second. The popular research and experimentation of AI (Artificial Intelligence) is thriving in modern society today and we are aware of it’s inclusion in many different industries, particularly security.
We can see this build up of AI importance within this industry from EUSAS and their recently successful online European Conference on the topic ‘Artificial intelligence in fire detection and security – without the hype’.
The Fire Navigator
An innovative fire protection system that combines building sensors, computer modelling, and artificial intelligence was established. Known as the Fire Navigator, this model aims to foresee the movement of fire inside a large building, giving the fire brigade essential information about the fire and the smoke before even reaching the actual building. A fast and simple cellular automata model which will uncover the ignition location, time, flame spread rate and smoke velocity.
The Fire Navigator concept aims to be specifically suited for the protection of buildings at a higher risk such as high-rise and hospital, or key infrastructure like tunnels and power plants.
Time Is The Essence
Assuming that everything is done in the design to prevent a fire from starting there still is a chance that a fire incident will happen. A key factor which defines the impact from this incident is time. Timely detection and sensitivity for unnecessary alarms have a relation with each other. Both factors can be improved by using new technologies including AI technologies.
Deep Learning
There has been extensive work based on Deep Learning that can be applied to Video Smoke Detection. Two methods were clearly established. First of all, there is a combination of convolutional neural networks (CNN) and long-short-term-memory networks (LSTM). As well as this there is also talk of an inflated 3D architecture (i3D), which consists of 3D convolutions. These are two state-of-the-art approaches to extract spatial and temporal information out of video sequences. A new way to detect and localize smoke within such sequences was presented, called cell-wise classification.
Promising Plans For The Future of Security
If we can make the fire safety industry much less dangerous due to a growth and development in Artificial Intelligence, then ultimately it will improve life for so many people who are in a dangerous circumstance. This most definitely has high hopes for the future of security.
