Intel RealSense T265 tracking camera 追蹤用攝影機


PS : Z機研以高度技術整合著名,我們可提供Matlab / Python 等開發環境給您相關範例程式參考,可搭配ROS、Ubuntu、Win10等作業環境,整合您的機器人。我們不任意開價,若有需求歡迎討論,研發永無止盡,但願互相成長。目前我們都有相關成效,並持續發展中。


商品說明 : 


PS : Z機研以高度技術整合著名,我們可提供Matlab / Python 等開發環境給您相關範例程式參考,可搭配ROS、Ubuntu、Win10等作業環境,整合您的機器人。我們不任意開價,若有需求歡迎討論,研發永無止盡,但願互相成長。目前我們都有相關成效,並持續發展中。

Low power tracking camera

Low power.

Featuring highly optimized proprietary V‑SLAM algorithms running directly on the device, it operates at an incredible 1.5W.

High accuracy tracking camera

Precision tracking.

Extensively tested and validated for performance, providing under 1%1 closed loop drift under intended use conditions.

Small and light tracking camera

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

What is SLAM?

SLAM(即同時定位和地圖繪製)是一個計算問題:設備如何構造或更新未知環境的地圖,同時跟踪其在該環境中的位置?在GPS時代來臨之前,水手們將通過星際導航,利用他們的運動和位置成功地穿越海洋。 V‑SLAM使用攝像頭和慣性測量單元(IMU)的組合以類似的方式進行導航,並使用環境中的視覺功能來準確地跟踪其在未知空間中的行駛方式。

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.

Tracking camera inside

Example use case

Robotics navigation, occupancy mapping and collision avoidance demo.

Simple prototyping for tracking soluitions

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.

Depth anf tracking camera products from Intel RealSense

Get your project off the ground quickly with help from our code examples and tutorials.

Tech Specs

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 0.5 mm pitch mounting sockets
Securely attach the camera to your device with these standard mounting points on the rear of the camera.

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