At the heart of MAGNETOSKOPI lies a multi-layered AI engine that actively operates during every scan. This engine performs anomaly detection, object classification, depth analysis, and size estimation functions in real-time.

Adaptive Baseline Learning: The system learns the ambient magnetic field at every startup and maintains this learning throughout the scan. The system automatically calibrates itself even in different terrains, different geological structures, and changing weather conditions. No manual adjustment by the operator is required.

Instant Anomaly Detection: The system statistically analyzes historical data at every measurement moment. Any change above 5 standard deviations (5σ) from the normal environment is instantly marked as an anomaly. This threshold clearly distinguishes real targets from environmental variability.

As soon as an anomaly is detected, a visual warning panel opens on the tablet screen. The panel remains visible for at least 5 seconds, preventing the operator from missing the alert.

Real-Time Dashboard: All AI analysis results and sensor data are monitored instantly via tablet or smartphone. The device broadcasts its own WiFi network; no internet connection or additional application installation is required.

The system shown in the image represents an advanced data collection solution created by integrating magnetometer sensors with high-precision magnetic measurement capabilities into an Unmanned Aerial Vehicle (UAV) platform. The magnetometer positioned on the drone can perform fast and repeatable measurements over wide areas without requiring surface contact during flight. In this way, significant advantages are provided in terms of both time and operational efficiency compared to traditional ground-based measurements.



The system operates autonomously in accordance with predefined grid flight plans to produce homogeneous and high-resolution magnetic data sets. The data obtained can be used effectively in the detection of underground structures, metallic objects, or geological anomalies. Thanks to the integrated software infrastructure, flight planning, data visualization, and analysis processes are managed through a single platform, offering the user an end-to-end reliable and precise magnetic scanning solution.