This August, YEI Technology will be exhibiting the YEI 3-Space Sensor™ at the Association for Unmanned Vehicle Systems International’s (AUVSI) unmanned systems conference in Washington, DC.
Throughout AUVSI’s Unmanned Systems 2013 YEI Technology will have live demonstrations of the YEI 3 Space-Sensor family and its applications at booth #4253.
They will be showcasing YEI 3-Space Sensor applications in the areas of:
- navigational systems in aircraft systems, unmanned aerial vehicles, and flight simulators
- guidance systems in projectiles, missiles, and smart munitions
- use in interactive and immersive training systems
- platform stabilization
- robotics
The YEI 3-Space Sensor uses patented and patent-pending technologies in its family of intelligent Inertial Measurement Units (IMUs) / Attitude and Heading Reference Systems (AHRS). Each YEI 3-Space Sensor uses triaxial gyroscope, accelerometer, and compass sensors in conjunction with advanced on-board filtering and processing algorithms to determine orientation relative to an absolute reference orientation in real-time. The sensors combine high accuracy and performance characteristics of traditional inertial measurement units (IMUs), but they are smaller and lighter making them ideal for use in environments where a reduced form factor is important.
With power consumption advantages similar to those of MEMS devices, the sensors are also ideal for use in locations where charging opportunities are limited. Their combination of power consumption advantages, size, and highly precise attitude and heading reference systems also make them highly ideal for navigational purposes.
YEI 3-Space Sensors offer a wide range of communication, performance and packaging options from ultra-miniature embedded to fully integrated, battery powered, wireless, and data-logging versions.
The YEI 3-Space Mocap Bundle (17 Wireless devices and 3 Dongle devices) makes it possible to develop fully immersive military training simulations. The Mocap system and YEI 3-Space Mocap Studio accommodates multiple users, allowing for collective training and more constructive simulations.
