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ISCA OpenCV/GPU Tutorial

GPU_OpenCV_Tutorial_Schedule

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

Introduction to Smart Video Technologies from Intel

This paper addresses how the Smart Video (SV) system architecture is increasing in complexity and evolving into new industries and use cases.

Authored by Daniel H. (Intel) Last updated on 01/29/2019 - 15:12
Article

ASTRO - The Robot solution for a Safer and more Productive Workplace

1. Robots and ASTRO
Authored by Silviu-Tudor Serban Last updated on 06/23/2019 - 18:50
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
Article

Analog Gauge Reader Using OpenCV in Python*

This sample application takes an image or frame of an analog gauge and reads the value using computer vision. It consists of two parts: the calibration and the measurement. During calibration, the user gives the application an image of the gauge to calibrate, and it prompts the user to enter the range of values in degrees. It then uses these calibrated values in the measurement stage to convert...
Authored by Joseph B. (Intel) Last updated on 07/10/2018 - 08:00
Article

Code Sample: Motion Heatmap Using OpenCV in Python*

OpenCV, Python* 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. color/heat map background subtraction
Authored by Joseph B. (Intel) Last updated on 07/10/2018 - 08:00
Article

A Closer Look at Object Detection, Recognition and Tracking

This paper provides guidance from the dictionary to appropriately define and discern the terms object detection, object recognition, and object tracking. We then explore some of the algorithms involved with each process to underpin these definitions.
Authored by Grevelink, Evelyn (Intel) Last updated on 03/11/2019 - 13:17
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