We describe how to use Intel® System Studio 2015 to build the OpenCV* 3.0-based embedded application on Intel platforms. In this paper, we have considered a sample code that is part of OpenCV, how to use different components of Intel® System Studio to build OpenCV sample code.
Learn how to use OpenCV* to count people using edge detection rather than using server farms.
Celebrating the FIRST EVER Global IoT DevFest! Registration is Still Open to Watch Replays! ATTENTION – There’s still time to sign up for the latest edition of our Intel Global IoT DevFest II on Nov 7-8th 2017.
Access hardware and software that help you get started with computer vision.
Select hardware accelerators from Intel for your computer vision application.
OpenVINO™ 2018 R3 Release - Gold release of the Intel® FPGA Deep Learning Acceleration Suite accelerates AI inferencing workloads using Intel® FPGAs that are optimized for performance, power, and cost, Windows* support for the Intel® Movidius™ Neural Compute Stick, Python* API preview that supports the inference engine, Open Neural Network Exchange (ONNX) Model Zoo provides initial support for...
NOTE: The Intel® Distribution of OpenVINO™ toolkit was formerly known as the Intel® Computer Vision SDK
OpenVINO™ 2019 R2.01 Release