Existing location tracking and monitoring solutions are often based on general-purpose devices that have not been specifically developed for long-term, energy-efficient, and inconspicuous operation. Continuous communication can increase energy consumption and affect the technical detectability of a system. At the same time, communication interruptions can lead to gaps in data collection and require additional personnel deployments. Furthermore, existing systems often provide only limited capabilities for the automated analysis of movement data, making the timely identification of relevant events more difficult.

EAÜ-INVISIO addresses these limitations by combining difficult-to-detect hardware, energy-efficient operation, secure communication, offline logging, automated anomaly detection, and simulation-based validation into an integrated overall system.

The technology is aimed in particular at police authorities, specialized police units, other authorities and organizations with security responsibilities, operators of critical infrastructure, and private security service providers, depending on the respective application scenario and the applicable legal framework. In this context, the system is intended to reduce the need for continuous manual monitoring, improve situational assessment, and support the early detection of potentially relevant movement patterns.

The intended project objective is an integrated demonstrator that shows, under realistic conditions, the technical interaction between vehicle observation hardware, secure communication infrastructure, a web-based monitoring application with geofencing, an AI-based anomaly detection module, and a digital twin, and that provides the basis for further development and testing of the technology.