This video shows a real-time 3D positioning and tracking experiment using eight quasi-monostatic IR-UWB radars. Both 1D and 3D Kalman filters are used for the smooth 3D estimations. The algorithm used in this experiment is designed to be computationally more efficient than conventional 3D algorithms so that real-time operations can be feasible, even though multiple quasi-monostatic radar modules are employed.
This video shows another people counting experiments using an IR-UWB radar sensor in an elevator where all four side walls are made of metal. Although there exist severe multipath interferences as well as ping-pong effects of radio signals, we could maintain a reasonable level of accuracy.
The X4 UWB radar SoC by Novelda is put to the test and pushed through different occupancy scenarios. The X4 UWB radar SoC from Novelda is a ground-breaking technology development that enhances all key radar operating metrics, including sensitivity, range, power economy and level of integration.
A tribute to Andy Warhol's slow movie "Sleep" with our own XeThru slow TV version of a colleague sleeping throughout the night. A X2M200 respiration module, in sleep monitoring mode, tracks his respiration and movement.
XeThru's Technical Business Developer Ole-Johan demonstrates how to create a simple distance tracker using the X2M200 respiration sensor with an Atmel Xplained board. By removing static objects using adaptive clutter map implementing a simple detector using thresholds he measures the distance to any moving object.
This video shows the XeThru radar sensor used for counting people in crowds. This is an improved version with a counting algorithm that works much faster compared to earlier versions.
Latest Videos
The XeThru video library provides a series of videos on respiration/sleep monitoring, occupancy/presence detection, tutorials, and client stories. Browse these videos for inspiration and helpful tips on how to get started with our technology!