RAPTOR_V4
JANUS’ Rapid Target Predictor (RAPTOR) provides the ability to rapidly generate synthetic signatures of targets that correspond to how they would appear in data collected in EO, IR, and RF (SAR) sensor modalities. Employing industry-standard accelerated ray tracing technology, RAPTOR’s ability to rapidly generate target signatures that span the electromagnetic spectrum, beginning in the visible region and continuing through the infrared and into the microwave regions, enables the development of Multi-INT solutions that address operational target detection and recognition requirements.
RAPTOR employs 3D CAD models and sensor parameters, coupled with collection geometry and illumination geometry, to rapidly generate its synthetic target signatures. RAPTOR’s capabilities make it possible to generate vast amounts of labeled high-fidelity data containing specific targets of interest that are required to successfully train AI/ML models to perform target detection and recognition. This may be achieved by combining RAPTOR’s predicted target signature output with background scenes for specific domains and conditions of interest from a range of sources.
This approach has been successfully employed to mitigate issues with limited target data availability from real-world data sources, as is often the case in anti-access/area-denial (A2/AD) regions.
Key Features
Full-Spectrum Ray Tracing
Industry-standard accelerated ray tracing technology generates target signatures that span the electromagnetic spectrum, beginning in the visible region and continuing through the infrared and into the microwave regions.
CAD-Driven Signature Prediction
Employs 3D CAD models and sensor parameters, coupled with collection geometry and illumination geometry, to rapidly generate synthetic target signatures.
AI/ML Training Data
Generates vast amounts of labeled high-fidelity data containing specific targets of interest that are required to successfully train AI/ML models to perform target detection and recognition.
Proven Performance
Multi-INT Signature Generation
RAPTOR’s predicted target signature output can be combined with background scenes for specific domains and conditions of interest from a range of sources. This approach has been successfully employed to mitigate issues with limited target data availability from real-world data sources, as is often the case in anti-access/area-denial (A2/AD) regions.
- Multi-Modality Support (EO / IR / RF (SAR))
- Visible-to-Microwave Spectrum Coverage
System_Parameters
Value_Proposition
Rapidly generate synthetic target signatures spanning the electromagnetic spectrum to overcome limited real-world target data availability in A2/AD regions, enabling Multi-INT solutions and AI/ML training for operational target detection and recognition.