Intel has announced the launch of the OpenVINO toolkit, a visual inference and neural network optimisation engine designed with vision-based Internet of Things (IoT) development in mind.
“The OpenVINO toolkit is designed to enable users to fast-track development of high-performance computer vision applications, unleash deep learning inference capabilities across the entire Intel silicon portfolio, and provide an unparalleled solution to meet their AI [Artificial Intelligence] needs,” claims Intel’s Adam Burns of the release. “The new toolkit also includes three major APIs: The Deep Learning Deployment toolkit, a common deep learning inference toolkit that scales across Intel Vision Products, and optimised functions for OpenCV and OpenVX.”
Designed to tie in with Intel’s hardware platforms, including the Movidius Myriad family of vision processing units (VPUs) for which it recently launched a development support programme, the OpenVINO toolkit is capable of running on CPUs, GPUs, VPUs, and FPGAs – including on edge devices, the company promises.
More information on the OpenVINO toolkit, which was previously known as the Intel Computer Vision Software Development Kit (SDK), can be found on the official website.
Gareth Halfacree is a technology journalist and technical author best known for his work on the Raspberry Pi User Guide and an upcoming book covering the BBC’s micro:bit project. A keen open source advocate and RISC-V fan, Gareth is responsible for curating our fortnightly community round-up posts.