Computer Vision
Real-time detection, segmentation, and tracking across visual and multi-spectral imagery — deployed on edge accelerators and cloud GPUs.
We train and deploy custom vision models on edge accelerators, cloud GPUs, and hybrid pipelines — optimized for accuracy under the conditions that break most models: low light, occlusion, moving platforms, and mixed sensor types.
Key Features
01
Real-Time Detection
Object detection and tracking pipelines built to run on embedded and edge hardware for field and airborne payloads.
02
Scene Understanding
Semantic and instance segmentation for terrain, structures, and objects of interest across still and video imagery.
03
Multi-Sensor Fusion
Combining visual, thermal, and other sensor modalities into a single coherent read of a scene.
04
Clinical Imaging Support
Vision models trained to assist review and triage of medical imagery, built around clinical workflow requirements.
Medical imaging support, ISR and surveillance analysis, perimeter and infrastructure monitoring, and scene understanding for autonomous platforms.