This is a simple, yet effective sample application and document that describes how to use the Intel RealSense camera and SDK to create straightforward RGB streaming.
The Roemotion* Roy robotic arm launched via Kickstarter in 2012. The arm is a human-sized animatronic character creating only laser-cust mechanics and off-the-shelf servos. In this experiment, hand control software was developed using the Intel® RealSense™ SDK for Windows* to control the Roy hand using the SDK’s hand tracking APIs.
This article provides an introduction to autonomous navigation and its use in augmented reality applications, with a focus on agents that move and navigate. Autonomous agents are entities that act independently using artificial intelligence, which defines the operational parameters and rules by which the agent must abide. The agent responds dynamically in real time to its environment, so even a...
This article describes how to make a pan-tilt person-tracking camera rig using an Intel® RealSense™ camera (R200) and a few inexpensive electronic components. The goal of this project was to devise a mechanism that extends the viewing range of the camera for tracking a person in real time.
Archived - How to Migrate Intel® RealSense™ SDK R4 (v6.0) Hand Mode Functionality to Intel RealSense SDK 2016 R1 Cursor ModeThis tutorial highlights code changes that developers will have to make in order to exploit the Cursor Mode capability available in the Intel® RealSense™ SDK 2016 R1.
Simplify the selection of devices attached to your system with the Intel® RealSense™ SDK 2016 R1. This tutorial will teach you how to enumerate modules and multiple devices so you can select the appropriate device.
Archived - How to Determine the Camera Connection State Using the Intel® RealSense™ IsConnected and Callback MethodsRetrieve the connection state of a camera device by querying the Intel® RealSense™ SDK SenseManager and the IsConnected method. Once established, monitor the connection state using Intel RealSense SDK callback functionality. This tutorial demonstrates both approaches.
Get your robotics board up and running with this Hello World tutorial. Uses the Intel® RealSense™ Robotics Development Kit (RDK) which includes the Intel® RealSense™ R200 depth-camera (R200) and the Aaeon* UP Board.
You can use LibRealSense and OpenCV* to stream RGB and depth data from your connected Intel® RealSense™ camera. This tutorial and code sample shows how to do this, based on the Ubuntu* operating system. In the end you will have a nice starting point where you use this code base to build upon to create your own LibRealSense / OpenCV applications.
Software in the Loop (SITL) allows you to run the Intel® Aero Compute Board on a PC directly. Learn to create MAVLink*-based applications developed in simulation with the PX4* flight controller.