The Social Media App, developed by CERTH, aims to provide the INGENIOUS system with crowdsourced information by collecting in a real-time manner social media data from Twitter (tweets), analysing their textual and visual content to enrich them with additional information, and allowing the end users to view the collected and analysed tweets in a friendly user interface.
EXUS AI Labs within the INGENIOUS project is working on implementing an alert system that will inform about the health status of first responders (FR). This system monitors the vitals of the FR and when a potential risk is identified (from their physiological data), alerts are raised to inform operators to take preventive action. Several approaches have been considered and at this stage machine learning algorithms are being utilised for the task.
Rescue operations in both small-scale emergencies and major natural or man-made disasters are undoubtedly more dangerous than in the past and the needs of First Responder teams have increased. The INGENIOUS project, funded by the European Union and the Republic of Korea under the Horizon 2020 Research and Innovation Program, aims to assist First Responders to be more effective and save more lives during natural and manmade disasters and crises by exploiting novel technologies.
The MINs are one of the different autonomous aerial vehicles that are being developed within the INGENIOUS project. The main goal of the MINs, which are being developed by our partners in SINTEF, is to support the localization of FR moving in indoor dangerous and GNSS-denied environments.
Wildfires, floodings, earthquakes and man-made incidents are striking Europe on a regular basis. These crises are often unforeseen and elicit a complex response mechanism, involving different categories of first responders such as firemen, police, medical operation teams and volunteers. The participation of such heterogeneous groups with specific operational procedures and chain of command, poses real challenges in terms of coordinating actions and getting a clear overview of the emergency response.
Developing emergency response technologies for detecting and managing waterborne pathogen contamination events
During emergency response operations, first responders are at risk of being exposed to dangerous pathogens (such as norovirus, e. coli and v. cholerae) through skin contact, ingestion or inhalation. These pathogens pose a significant risk of illness, disease or even death. Currently, there are very few available field-validated technologies to assist first responders when having to operate within an environment with such dangerous pathogens.
Both man-made and natural disasters such as earthquakes and terrorist attacks can result in people being trapped under debris and collapsed structures. In these critical situations, a timely and effective response is crucial and can prevent or significantly reduce the number of casualties. This is why First responders and rescue teams need to be equipped with cutting edge tools and specialised instrumentations in order to enhance their capabilities, namely in terms of accuracy, quick localization, and reduction of false alarms.
First responder Advanced technologies for Safe and efficient Emergency Response (FASTER) is a H2020 project aiming to help and protect first responders during their operations and enhance their capabilities in terms of situational awareness and communication.