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Get an overview of smart video systems, including cameras and video gateways, and how they integrate with video analytics, deep learning, and the Internet of Things.

In this tutorial, learn how to accelerate inference applications running on either the CPU or GPU with the Intel® Computer Vision SDK.

Computer vision is the next wave in business intelligence. Intel is helping businesses overcome the challenges and reap the benefits of Digital Security & Surveillance.

Code Samples and Reference Implementations

The following projects provide working examples to IoT developers interested in smart video solutions.

Digital Signage Code Samples

OpenCV performance is improved and optimizated using Intel® Integrated Performance Primitives and the Intel® Math Kernel Library.

USE CASES

Smart street lights that can see, hear, and sense their surroundings are creating data that empowers city services.

Smart video analytics and big data produce real-time data about vehicles, roads, and passengers.

Visualization technology enables industrial and factory workers to understand their environment in powerful new ways.

Facial recognition and anomaly detection puts video at the forefront of Intel innovation for the perceptive, responsive, and autonomous homes of tomorrow.

Facial and object recognition tasks are helping to improve the retail experience.

Public safety visualization solutions can use Intel® technology to fight crime in smart cities.

SDKs to Speed Your Development

Computer Vision SDK

Intel® Computer Vision SDK Beta

Enhance smart video systems through image processing, execution of common computer vision routines, video extraction and tracking, and deep-learning inference.

Media SDK

Intel® Media SDK

Enable fast video playback, processing, media format conversion, acceleration of video and image processing, and audio decode and encode support for smart video systems.