Intel V-SLAM tracking camera "Intel RealSense Tracking Camera T265"

■ This is an article posted on June 2019, 1, so the content of the information may be out of date.

Unipos website, Intel V-SLAM tracking cameraIntel RealSense Tracking Camera T265 Page has been added.

Intel RealSense Tracking Camera T265 Is a standalone inside-out tracking device. It uses Intel's proprietary Visual SLAM (V-SLAM) technology. With the Intel Movidius Myriad 2.0 VPU installed, SLAM can be realized with a power saving of 1.5 W, and due to its compact size of 108x25x13mm / 55g, it is expected to be used in various fields such as mounting on robots and drones.

* Added June 2022
The T265 has been discontinued or discontinued by the manufacturer.
Please note that it will be handled only in our stock.

 

Intel RealSense Tracking Camera T265 Features

・ 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.

・ BMI055 IMU
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 attaches the camera to your device with these standard mounting points on the rear of the camera.

T265 can work with other RealSense devices

T265 has an infrared cut filter,D400 seriesIt is possible to ignore the projection pattern from the depth camera of. Therefore, by using both devices together, it is possible to easily execute advanced applications such as indoor mapping, collision avoidance, and navigation where GPS data is not available.