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Expanding the Possibilities of Computer Vision with AI

Published on June 26, 2018

Learn about the exciting innovations that applications of AI can bring to computer vision through the story of an Intel® Innovator.

How to Get Started Developing for Automated Driving

Published on December 13, 2016, updated December 12, 2017

From safe roads to enjoyable commutes, automated driving is poised to change lives and society for the better.

As the car moves to the center of the autonomous world, developers will be tasked with creating...

Driver Recognition and Fatigue Detection Systems with Devices Powered by Intel

Published on December 5, 2017

This article discusses fatigue detection systems. These systems are designed to alert a driver when fatigue behavior is detected. When deployed in automobiles, the system can help to reduce the number of accidents caused by driver fatigue. An additional use of the system is driver identification....

Build an Autonomous Mobile Robot with the Intel® RealSense™ Camera, ROS*, and SAWR

The Simple Autonomous Wheeled Robot (SAWR) project defines the hardware and software required for a basic "example" robot capable of autonomous navigation using the Robot Operating System* (ROS*) and an Intel® RealSense™ camera. In this article, we give an overview of the SAWR project and also...

Optimizing Edge-Based Intelligence for Intel® HD Graphics

Published on July 31, 2017

What we call deep learning is typically associated with servers, the cloud, or high-performance computing. We are witnessing a reshuffling of compute partitioning between cloud data centers and clients in favor of moving applications of deep learning models to the client.

Intel® RealSense™ for Linux - Object Library Documentation

Last updated: July 28, 2017

The Object Library middleware for Intel® RealSense™ gives machines the ability to understand what they are looking at, in other words, imparting meaning to the vision the Intel RealSense cameras provide. This ability allows for more dynamic human...

Intel® RealSense™ Cross Platform API (librealsense) Get Started Guide

Last updated: July 28, 2017

Intel RealSense Cross Platform API (librealsense) is a cross-platform library for Linux, Windows, and Mac for capturing data from the Intel RealSense F200, SR300, R200, LR200 and ZR300 cameras. This effort was initiated to better support...

Intel® RealSense™ SDK for Linux Developer Guide

Last updated: July 28, 2017

The Intel RealSense SDK for Linux provides libraries, tools and samples to develop applications using Intel RealSense cameras by using the librealsense API. The SDK provides functionality of record and playback of camera streams for test and...

Depth Camera Manager (DCM)

Last updated: July 28, 2017

The Depth Camera Manager for  Intel® RealSense™  short-range and long-range cameras is intended to expose interfaces to streaming video from the Intel® RealSense™ Camera for both color and depth.

Release Notes for Intel® RealSense™ SDK for Linux*

Last updated: July 28, 2017

The release notes contain the latest known issues and limitations for the Intel® RealSense™ software:

Intel® RealSense™ for Linux - SLAM Library Documentation

Last updated: July 28, 2017

Intel® RealSense™ for Linux - SLAM Library middleware enables applications in robots and drones to understand their location and surroundings more accurately than GPS allows in GPS denied environments and inside yet un-mapped spaces.

Intel® RealSense™ for Linux - Person Library Documentation

Last updated: July 28, 2017

The Person Library for Intel® RealSense™ provides the ability to sense and recognize people, understand what they do, and interact with them.

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