- Intel D415 Realsense Depth Camera
- 1920x1080 resolution at 30fps
- 65 degrees field of view
The Interbotix ROS Arm Vision Kit allows users to add a computer vision component to any robot setup, instantly upgrading any ROS compatible manipulator to perform pick and place tasks.
Give your robotic rover extra eyes on its environment. You can even go without a robot and focus purely on writing your own computer vision applications.
The Vision Kit uses the Intel D415 RealSense Depth Camera, which features 1920x1080 resolution at 30fps with a 65 degree to 40 degree field of view and an ideal range of 0.5m to 3m. The package includes a camera stand, 6x colored blocks, and all the accessories needed to get up and running with vision processing.
ROS packages for Melodic and Noetic on Ubuntu Linux 18.04 and 20.04 make it easy to get started with the arm. Packages include full meshes and URDFs (including accurate inertial models for the links), a driver node that controls the physical robot arm and publishes joint states, as well as Gazebo and MoveIt support. Examples are also included to show users how the core packages work.
Robot simulation is an essential tool in every roboticists toolkit. A well designed simulator makes it possible to rapidly test algorithms, design robots, perform regression testing, and train AI systems using realistic scenarios. Gazebo offers the ability to accurately and efficiently simulate populations of robots in complex indoor and outdoor environments. At your fingertips is a robust physics engine, high quality graphics, and convenient programmatic and graphical interfaces. Best of all, Gazebo is free with a vibrant community.
Intel RealSense Depth Camera D415 is part of the Intel RealSense D400 series of cameras, a lineup that takes Intels latest depth sensing hardware and software packages them into easy to integrate products. Perfect for developers, makers, and innovators looking to bring depth sensing to devices, Intel RealSense D400 series cameras offer simple out of the box integration and enable a whole new generation of intelligent vision equipped devices.
AprilTag is a visual fiducial system, useful for a wide variety of tasks including augmented reality, robotics, and camera calibration. Targets can be created from an ordinary printer, and the AprilTag detection software computes the precise 3D position, orientation, and identity of the tags relative to the camera. The AprilTag library is implemented in C with no external dependencies. It is designed to be easily included in other applications, as well as being portable to embedded devices. Real time performance can be achieved even on cell phone grade processors.
The Flexible Camera Stand is specially designed with a metallic base which has 4 non slip cottons on the bottom to fasten the webcam stand, allowing it to be moved without generating any noise or leaving any scratches on the table. The height of this webcam stand is adjustable and extends up to approximately 21 inches/53 cm when the gooseneck arm is used. You can adjust to a suitable angle and height to get the best shooting range.
