Article

Counting People: Use OpenCV* for Edge Detection

Learn how to use OpenCV* to count people using edge detection rather than using server farms.
Authored by Foster, Whitney (Intel) Last updated on 05/31/2019 - 09:24
Article

Python* Code Samples for Video Analytics with OpenCV

In support of computer vision development efforts, we've created a GitHub* repository of twelve computer vision code samples. These code samples are a good starting point for developers who wish to develop more robust computer vision and analytic solutions. We use the Retail, Digital Signage market in these examples but the technology can be used in a variety of different markets.
Authored by Kevin R. (Intel) Last updated on 07/10/2018 - 08:00
Article

Edge Data Processing POC with the UP Squared* Board

With the amount of continuously generated data on the rise, the cost to upload and store that data in the cloud is increasing. Data is being gathered faster than it is stored and immediate action is often required. Sending all the data to the cloud can result in latency and presents risks when internet connectivity is intermittent. Edge computing involves processing data locally for immediate...
Authored by Foster, Whitney (Intel) Last updated on 10/29/2018 - 13:01
Video

Visions of Clouds: Computer Vision at the Edge

In this video learn about the methods of running a computer vision application at the edge using OpenCV.

Authored by Last updated on 07/10/2018 - 08:00
Video

Visions of Clouds: Computer Vision in the Cloud

In this video learn about the methods of running a computer vision application in the cloud using AWS Rekogntion.

Authored by Last updated on 07/10/2018 - 08:08
Video

Visions of Clouds: Computer Vision Overview

In this video learn about computer vision on the edge and in the cloud. We will compare the two methods and look at each strength and weakness.

Authored by Last updated on 07/10/2018 - 08:00
Article

Tutorial: Using Inference to Accelerate Computer Vision Applications

Learn how to run computer vision inference faster on Intel Architecture using the Intel® Computer Vision SDK Beta R3. This tutorial will walk you through the process of generating the files needed for the Inference Engine from a Caffe model, and how to run the Inference Engine in a C++ application. The source code for this tutorial is available on GitHub.
Authored by Joseph B. (Intel) Last updated on 07/10/2018 - 08:00
Video

Predictive Analytics and Computer Vision

Authored by admin Last updated on 10/08/2018 - 09:14
Blog post

Introducing the IEI Tank AIoT Developer Kit

We are excited to announce the availability of the IEI Tank AIoT Developer Kit, with support for the Intel® Distribution

Authored by Amarnath Kona (Intel) Last updated on 06/23/2019 - 22:00
Article

Use an Inference Engine API in Python* to Deploy the Intel® Distribution of OpenVINO™ Toolkit

This paper presents a quick hands-on tour of the Inference Engine Python API, using an image classification sample that is included in the OpenVINO™ toolkit 2018 R1.2. This sample uses a public SqueezeNet* model that contains around one thousand object classification labels.
Authored by Bryan B. (Intel) Last updated on 10/26/2018 - 14:22