DeepX consortium has successfully demonstrated a system, machine learning models and AI-based decision-making “threats triage” system allowing to detect important threats and events at machine speed.

This solution results in a capability of alerting first responders immediately upon event occurrence, such for example as fire, explosion, car crash, a person collapsing and so on. These events can be identified and evaluated in real-time by a computer vision based DeepX alerts triage system. Following which another system capability allows to automatically alert the first responders with audio and visual signals, additionally automatically bringing on their screen the relevant video feed and zooming into the area of interest where the event is developing.

When applied this capability results in first responders reacting to the event seconds and minutes faster than if they were called in manually by concerned persons. This potentially results in lives saved and serious economical damages averted or reduced.