Vision Systems
Perception across images, video, and geospatial.
End-to-end vision infrastructure — from sensors and calibration to detection, tracking, and 3D understanding — deployed across industrial, urban, and airborne environments. This layer underpins Vision AI and feeds multi-agent systems that act on what cameras see.
Detection & Tracking
Real-time performance on constrained hardware.
3D Perception
Depth, geometry, and scene reconstruction.
Geospatial Vision
Satellite, aerial, and drone imagery pipelines.
Edge Inference
Sub-10ms models on ARM, GPU, and NPU targets.
Sensors are part of the model
We treat optics, shutter modes, and mounting as trainable context. Calibration services and synthetic-to-real pipelines reduce the data volume required to adapt a detector to a new factory cell or city intersection.
From pixels to actionable structure
Beyond boxes, our stacks produce tracks, occupancy, change maps, and 3D reconstructions suitable for planning and digital twins. Temporal models maintain identity across occlusions that defeat frame-wise detectors.
Geospatial at planetary scale
Satellite and aerial workloads demand tiling strategies, hierarchical transformers, and continental serving — patterns documented in our geospatial vision research and productized in Vision AI.