Inleiding
With its small form factor and low power consumption, the Intel RealSense Tracking Camera T265 has been designed to give you the tracking performance you want straight off-the-shelf. Cross-platform, developer friendly simultaneous localization and mapping for all your robotics, drone and augmented reality rapid prototyping needs.
Features
Low power.
- Featuring highly optimized proprietary V-SLAM algorithms
running directly on the device, it operates at an incredible 1.5W.
Precision tracking.
- Extensively tested and validated for performance, providing
under 1%1 closed loop drift under intended use conditions.
Small and Light.
- At 108 x 25 x 13 mm in size and weighing only 55 g, this
device won't weigh your prototype down.
What is SLAM?
SLAM, or Simultaneous Localization and Mapping, is a computational
problem - how does a device construct or update a map of an unknown
environment while simultaneously keeping track of it's own location
within that environment? Before the days of GPS, sailors would navigate
by the stars, using their movements and positions to successfully find
their way across oceans. V-SLAM uses a combination of cameras and
Inertial Measurement Units (IMU) to navigate in a similar way, using
visual features in the environment to track it's way around even
unknown spaces with accuracy.
Inside the camera
The Intel RealSense Tracking Camera T265 includes two fisheye lens
sensors, an IMU and an Intel Movidius Myriad 2 VPU. All of the V-SLAM
algorithms run directly on the VPU, allowing for very low latency and
extremely efficient power consumption. The T265 has been extensively
tested and validated for performance, providing under 1% closed loop
drift under intended use conditions. It also offers sub 6ms latency
between movement and reflection of movement in the pose. This is fast
enough for even highly-sensitive applications such as Augmented and
Virtual Reality.
Simple and versatile prototyping
For developers working on a robotics, drone or augmented reality
systems, SLAM can be challenging to implement - requiring significant
time and resources in order to add valuable environmental
understanding. With the T265, developers can now have precise and
robust tracking that has been extensively tested in a variety of
conditions and environments. This self-contained tracking system is
designed for simple integration. There's no need to re-design your
board, simply plug in the provided USB cable and start streaming pose
data straight away. The T265 also features an easy mounting solution,
with standardized mounting sockets on the rear of the camera.
Part of the family
While there are many use cases for a stand-alone T265, it is definitely
a part of the Intel RealSense Technology family, and has been designed
to work flawlessly along-side our other devices. The T265 features an
infrared cut filter over the lenses, allowing it to ignore the
projected patterns from our D400 series depth cameras. This means that
developers can utilize both devices together with ease for advanced
applications such as occupancy mapping or collision avoidance and
navigation in locations where GPS data isn't available.
Specifications
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 0.5 mm pitch
mounting sockets
- Securely attach the camera to your device with these
standard mounting points on the rear of the camera.