Intel Developer Zone Articles

9:21 AM PST
Automatic Defect Inspection Using Deep Learning for Solar Farm
By Chong Y. (Intel)Posted 12/05/20170
Executive Summary Intel's Software and Services Group (SSG) engineers recently collaborated with Intel's New Technology Group (NTG) to launch a joint systematic project, which is the first commercial unmanned aerial vehicle inspection service for solar farms. The Intel SSG team provided the auto...
12:14 PM PST
Get Started Using the DPDK Traffic Management API
By Jasvinder S. (Intel)Posted 12/04/20170
This tutorial describes the new traffic management (TM) API in DPDK 17.08. Features include hierarchical scheduling, traffic shaping, congestion management, and packet marking, using a generic interface for QoS TM configuration for devices such NICs, NPUs, ASICs, and FPGAs. A typical DPDK functi...
1:45 PM PST
Smart Transportation Robots Streamline Manufacturing Operations
By adminPosted 12/01/20170
SEIT* autonomous mobile robots, running on Intel® technology, enable manufacturers to improve flexibility and efficiency of intralogistics transportation. Executive Summary To remain competitive, manufacturers must focus on achieving new growth while driving down costs. Key to achieving this is...
11:23 AM PST
CPU Performance Optimization & Differentiation for VR Applications Using Unreal Engine* 4
By adminPosted 12/01/20170
This paper covers the CPU performance analysis and debugging instructions, thread structure, optimization methods, and tools on UE4. It also covers how to make full use of idle computing resources of the CPU core to enhance performance of VR content, and provide corresponding performance of audio...
9:40 AM PST
Roofline with Callstacks
By Alexandra S. (Intel)Posted 12/01/20170
Note: Some screenshots in this article show orange dots. This is not a default setting, and these dots would be red or yellow by default. The orange category between red and yellow was added through the customization menu.The Roofline with Callstacks is an extension of the existing Cache-Aware ...
2:33 PM PST
Increasing Efficiency and Uptime with Predictive Maintenance
By adminPosted 11/30/20170
In many manufacturing plants today, monitoring is a highly manual process. FOURDOTONE Teknoloji analyzes data from sensors to enable manufacturers to respond immediately to problems, and predict when machines are likely to fail. Executive Summary Downtime can be expensive, and in a tightly coup...
11:59 AM PST
Use TensorFlow* for Deep Learning Training & Testing on a Single-Node Intel® Xeon® Scalable Processor
By Beenish Z. (Intel)Posted 11/30/20170
Introduction This document provides step-by-step instructions on how to train and test a single-node Intel® Xeon® Scalable processor platform system, using TensorFlow* framework with CIFAR-10 image recognition datasets. This document provides beginner-level instructions, and both training and in...
11:36 AM PST
Motion Heatmap Using OpenCV in Python*
By Joseph B. (Intel)Posted 11/30/20170
This sample application is useful to see movement patterns over time. For example, it could be used to see the usage of entrances to a factory floor over time, or patterns of shoppers in a store. What You’ll Learn Background subtraction Application of a threshold Accumulation of changed pix...
8:56 AM PST
MobileNets on Intel® Movidius™ Neural Compute Stick and Raspberry Pi 3
By Ramana Rachakonda (Intel)Posted 11/29/20170
Introduction Deep Learning at the edge gives innovative developers across the globe the opportunity to create architecture and devices promising to solve problems and deliver innovative solutions like the Google’s Clips Camera with Intel’s Movidius VPU Inside. An edge device typically s...
1:21 AM PST
Use Intel® MKL with OpenCV for FFT calculation
By Jing X. (Intel)Posted 11/29/20170
Contents 1 Introduction                                                                                                     11.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1 1.2 Preliminary Requirements . . . . . . . . . . . . ....
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