Intel RealSense Tracking Camera T265 - 720p, 1280x720 pixels, Black, Compact, USB, Webcam, SLAM Technology, Lightweight, Portable

Intel RealSense Tracking Camera T265 - 720p, 1280x720 pixels, Black, Compact, USB, Webcam, SLAM Technology, Lightweight, Portable

• Host interface: USB 3.1
• Height: 1"
• Width: 4.3"
• Depth: 0.5"
• Weight (Approximate): 1.94 oz

Tracking redefined introducing a new class of stand-alone simultaneous localization and mapping device, The intel® realsense™ tracking camera T265 For use in robotics, drones and more. Intel® realsense™ tracking camera T265 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. 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. Tracking solution 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 e.