Half-time in the A.D.Le.R project

Making an emergency call quickly and successfully is the first step in the rescue chain and thus essential for saving lives and protecting property. Automatic recognition and reporting of emergencies could significantly increase the level of safety. This is especially true for people with disabilities or older people who may no longer be able to pick up the phone themselves in an emergency. The ADLeR project (Automated Detection, Reporting and Guidance System for Rescue Forces – Rethinking the Rescue Chain) is therefore intended to provide this target group with more safety and at the same time greater self-determination in everyday life.

Logo of the project ADLeR

To this end, concepts are being developed together with the associated partners on how smart devices in the household can automatically recognise an emergency and report it in a next step. However, the approach goes beyond this: the ADLeR system will automatically alert qualified first responders from the neighbourhood and guide them to the scene of the emergency. Here, they can take initial measures until the fire brigade or rescue service arrives and thus bridge the therapy-free interval. For their part, the emergency services are to be supported by intelligent systems within the urban infrastructure when travelling to the scene of the incident and exploring it. By integrating existing smart city technologies and by setting up additional subsystems in the public area of ADLeR, the overall project of the networked and, above all, safe city is also to be advanced. Since the envisaged approach concerns, among other things, the private sphere of the addressees mentioned, data protection aspects play a significant role in the concept development from the very beginning.

Project ADLeR (Automated Detection, Reporting and Guidance System for Rescue Forces – Rethinking the Rescue Chain)

Overall objective of the project:

  • Improving the level of safety, especially for older people and people with disabilities, by extending the rescue chain with further intelligent systems.
  • Automatic detection and notification of emergencies, taking into account the right to informational self-determination
  • Data protection-compliant integration of automation technology from the areas of Smart Home and Smart City into existing systems (including control centres)
  • Automatic alerting of rescue forces as well as qualified first responders from the population in the vicinity of the scene of the emergency and technology-supported approach to the scene.

Term: Jun 2021 – Nov 2022

Scientific contact:
Prof. Dr. Gerhard Rinkenauer
Scientific staff
Ardeystrasse 67 Dortmund Nordrhein-Westfalen DE 44139
Press contact:
Anne Gregory
Press officer
Ardeystrasse 67 Dortmund Nordrhein-Westfalen DE 44139

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