Pre-orders for INTEL launch What is SLAM? SLAM, or simultaneous localization and mapping, is a computational problem - how does a device build or update a map of an unknown environment while simultaneously tracking its location within the environment? Prior to GPS days, sailors were navigated by the stars, using their movements and positions to successfully find their way across the oceans. V-SLAM uses a combination of Inertial Measurement Unit (IMU) cameras to navigate in a similar fashion, using visual features in the environment to track it around even unknown spaces with accuracy.
Intel RealSense Tracking Camera T265 dimensions
V‑SLAM, part of Intel® RealSense™ Technology
High precision Visual Inertial Odometry Simultaneous Localization and Mapping algorithms.
Intel® Movidius™ Myriad™ 2.0 VPU
Visual Processing Unit optimized to run V‑SLAM at low power.
Two Fisheye lenses with combined 163±5° FOV
The camera includes two OV9282 imagers with fisheye lenses for a combined, close to hemispherical 163±5° field of view for robust tracking even with fast motion.
The Inertial Measurement Unit, allows for accurate measurement of rotation and acceleration of the device, to feed into the V-SLAM algorithms.
USB 3.1 Gen 1 Micro B
USB 2.0 and USB 3.1 supported for either pure pose data or a combination of pose and images.
108 x 24.5 x 12.5 mm
Small form factor designed to mount on any device with ease.
2 x M3 0.5mm pitch mounting sockets
Securely attach the camera to your device with these standard mounting points on the rear of the camera.