Logipix has developed advanced sensor fusion technologies that operate on multiple levels of data integration, ensuring maximum precision, reliability, and operational intelligence.
Utilizing an array of purpose-built sensors – including visible light, thermal imaging, high-sensitivity black-and-white sensors, 3D radar, and the Logipix Transponder System – Logipix achieves sophisticated deep-level sensor fusion. This advanced approach enables AI algorithms to operate on raw, uncompressed sensor data, fully leveraging the essential capabilities of each sensor type.
By processing and correlating raw data streams at the sensor level, Logipix overcomes the inherent limitations of standalone technologies. The result is highly accurate object detection, classification, and tracking, delivering reliable, cross-validated situational awareness even in complex or low-visibility environments.
As part of deep-level fusion, the Logipix Transponder System introduces a non-visual data layer that complements video analytics. Miniature IoT-based transponders assigned to vehicles, assets, or personnel transmit identification and GPS position data directly to Logipix sensors. This information is fused with visual data in real time, enabling resolution-independent object identification across the entire monitored area.
By combining transponder signals with AI-powered image analysis, Logipix transforms selected non-cooperative objects into cooperative ones, significantly enhancing tracking precision, object identification reliability, and operational automation.
When integrating third-party systems with restricted access to raw data, Logipix applies feature-level sensor fusion. Even when devices operate as “black box” systems, their output data can be efficiently incorporated into the Logipix platform.
This integration enables the use of external sensor outputs as precise trigger signals to activate high-level Logipix functions, ensuring interoperability and enhancing system performance.
