Intel RealSense T265

Highlights

With its small form factor and low power consumption, the Intel RealSense 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. The Intel RealSense T265 tracking camera 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 reality and virtual reality. For developers working on robotics, drones, or augmented reality systems, SLAM can be challenging to implement – requiring significant time and resources to add valuable environmental understanding. With the T265, developers can now have precise and robust tracking that has been extensively tested in various 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 immediately. The T265 also features an easy mounting solution, with standardized mounting sockets on the rear of the camera.

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 alongside 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 easily utilize both devices for advanced applications such as occupancy mapping or collision avoidance and navigation in locations where GPS data isn’t available.

Features

• Tracking feature using Fisheye Camera and Inertial Measurement Unit (IMU)
•  Intel Movidius Myriad 2 ASIC
• Middleware processed on Myriad 2 ASIC; Enabling higher CPU performance
• 6DoF data streaming to host
• Low latency