ARV Vector develops sensor-based vision systems for high-precision tracking of fast-moving objects. Our technology captures, models and analyses motion data in environments where direct physical testing is operationally or economically prohibitive.
Built on a foundation of industrial automation and spatial data platforms, we apply machine vision, inertial measurement, positional and acoustic modalities to domains that demand accuracy, repeatability and low cost per data cycle.
Our systems generate the high-fidelity motion datasets that drive next-generation simulation, training and autonomy applications — across industrial, security and defence contexts.
Optical, inertial, electromagnetic and acoustic sensor arrays deployed in concert. Configurable sensing architectures built for environments where single-modality systems fail.
Real-time physics-based modelling with moving-target iteration. The same primitives used in high-performance simulation — applied where physical testing cannot scale.
From raw motion capture to structured performance datasets. Longitudinal operator metrics, root-cause diagnostics and readiness scoring for the systems and people that depend on them.
Additional project documentation — including technical architecture, team, roadmap and financial model — is available to prospective partners and institutional collaborators upon request.
To request project access, please contact us at info@arvvector.com