ARGOS
ARGOS
Artificial Response & Geofencing Operation System
An integrated field system for targeted monitoring and controlled behavioural deterrence of large mammals such as wild boar and wolf. ARGOS combines sensor-based detection, AI-assisted species recognition and response mechanisms, supporting applied ecological research in real-world environments.
The integrated ARGOS system is structured around three core pillars of high technology and applied wildlife management
Real-Time Monitoring
Ensuring continuous operation under all conditions is the first key pillar

4G Wildlife Monitoring Cameras
The wildlife monitoring camera network is deployed following site-specific field assessments conducted by domain specialists, aiming to identify optimal installation locations based on species presence, movement patterns and environmental parameters.
The 24/7 monitoring system operates using motion-based detection and IP68-rated hardware, ensuring continuous functionality under extreme weather and temperature conditions. All observation data are transmitted in real time via 4G connectivity to the central management platform.
Control and Analysis via the LANDBOX Platform
The LANDBOX monitoring and control platform employs AI-assisted algorithms to identify and differentiate the presence of wildlife, humans and vehicles at monitored locations, enabling continuous 24/7 situational awareness and event classification.
REAL TIME MONITORING
The platform continuously updates in real time, registering and organising events generated by all connected cameras. Events can be grouped by camera, date, species and additional contextual parameters, supporting systematic data exploration.


Automated Species Recognition
Species identification is performed using AI-based classification models developed and trained specifically for wildlife monitoring applications.
Equipment Management
The system supports the creation, configuration and grouping of cameras and ARGOS field devices, enabling structured deployment and centralised operational oversight.


Privacy and Data Protection
The platform automatically detects the presence of humans and vehicles and applies configurable visual anonymisation (blurring) to images. These mechanisms can be activated selectively based on time windows and operational requirements.
AI-Assisted Fire and Smoke Detection
The system supports early detection of visual indicators of fire or smoke within seconds.
AI-based deep learning models are used to achieve high detection accuracy while reducing false positives.
Models are continuously refined using site-specific visual data from deployed cameras, ensuring adaptive performance across diverse environments.


Reporting and Data Export
The platform supports the generation of analytical reports and visualisations, including graphs and summaries by species, camera and time period, facilitating longitudinal analysis.
ARGOS Wildlife Entry Deterrence and Repulsion System
Real-time data streams from the camera network are analysed by the LANDBOX platform using AI-based models to identify target species, enabling the automated activation of behavioural deterrence and spatial avoidance mechanisms within defined study areas.