Key objective: The tense situation of public safety suggests more and more video surveillance in public areas. Even the technical possibilities of facial recognition are considered to be able to automatically recognize suspects identified as "potential attackers". The unfounded storage and processing of such data is in terms of data protection law, however, controversial. Even the knowledge of potential surveillance influences the behavior of the affected citizens. The lower-threshold the investigative methods are, the greater the impact on the behavior of the citizens. The overall objective of the project is to investigate whether a video surveillance conforming to fundamental rights with face recognition in public areas is technically possible.

The technical research objectives are to clarify the scheme and effectiveness of a technical seal as well as explore the ways in which errors in identifying persons ("false-positives") can be made so unlikely that the gains in privacy brought about by the seal not be lost by the revelations that come with false alerts. From the very beginning (project proposal stage), I was actively involved and held the responsibility for administrative tasks. Within the project, my primary duties were overseeing the facial recognition software and conceptualizing the experimental setup. What did I learn from the project? It offered me invaluable insights into industry processes and operations. One of the key lessons was learning how to respond effectively to unforeseen challenges. It also highlighted the importance of working in an agile and flexible manner.