Visual Intelligence has earned the prestigious Geospatial World Technology Innovation Award for its iOne STKA (iOne Sensor Tool Kit Architecture). The award, in the sensors category, was announced at the Geospatial World Forum in Rotterdam, The Netherlands.

The iOne STKA represents the next generation of geoimaging for oblique, 3D and engineering base mapping. Unlike traditional products in the market, the tool kit architecture provides the foundation to readily and economically develop high-performing, reconfigurable in the field 2D-3D geoimaging sensors for aerial, terrestrial and mobile applications — all while using a single software/hardware foundation. This translates into lower up-front and operational costs, increased collection capacity in less time, new levels of engineering accuracy and simplified upgrades for customers.

Visual Intelligence’s President and CEO Dr. Armando Guevara accepted the award at the conference.

“The innovation award is a great honor, a validation to our customers and a reaffirmation of our emerging leading position in the industry,” said Guevara. “Companies that rely on 2D and 3D remote sensing and metric mapping equipment are facing rapidly changing requirements—from airborne, to terrestrial to mobile. The iOne STKA foundation meets those needs, replacing the monolithic, single-purpose sensors that are both costly and operationally inflexible. Mapping and remote sensing companies of all sizes can now select a ‘buy-what-you-need and add-as-you-grow’ approach,  have access to industry firsts reconfigurable in the field sensors, from engineering grade large area stereo with .6 b/h ratio, to metric high resolution  oblique/3D and vice versa—all while improving performance at the same time.”

Moving forward, Visual Intelligence’s R&D developments will enable iOne STKA sensor deployments on UAV/UAS and miniaturized mobile devices.

Adds Guevara, “Our vision is to encourage multipurpose sensor developments based on open standards so that geoimaging innovation can continue to become an intrinsic part of the ‘science of where.’”