Intel offers a range of hardware options for IoT deployments. Computing power progresses in order from the Intel Atom® processor,to the Intel® Core™ processor and finally to the Intel® Xeon® processor. As IoT demand drives increases in data volume, a more powerful processor is required, as well as additional storage.
Learn how to use OpenCV* to count people using edge detection rather than using server farms.
What is OpenCV and how it applies to IoT. An overview of OpenCV and what Intel offers for developers in that space.
1. Robots and ASTRO
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.
This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
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...