What is OpenVINO? OpenVINO is a cross-platform deep learning toolkit developed by Intel. The name stands for “Open Visual Inference and Neural Network Optimization.” OpenVINO focuses on optimizing neural network inference with a write-once, deploy-anywhere approach for Intel hardware platforms. The toolkit is free for use under Apache License version 2.0 and has two versions: OpenVINO toolkit, which is supported by the open-source community and the Intel Distribution of OpenVINO toolkit, which is supported by Intel. Using the OpenVINO toolkit, software developers can select models and deploy pre-trained deep learning models (YOLO v3, ResNet 50, etc.) through a high-level C++ Inference Engine API integrated with application logic. Hence, OpenVINO offers integrated functionalities for expediting the development of applications and solutions that solve several tasks using computer vision, automatic speech recognition, natural language processing, recommendation systems, machine learning, and more. No Code OpenVINO for Enterprises Viso Suite, the no-code computer vision platform, leverages OpenVINO with powerful no-code/low-code capabilities and automated infrastructure. The platform Viso Suite is powered by viso.ai, AI vision partner of Intel, and used by enterprises and organizations worldwide to build, deploy and operate computer vision applications faster. The no-code platform for AI vision provides the capabilities of OpenVINO as ready-made building blocks in a visual editor. In addition, Viso Suite provides everything around OpenVINO, image annotation, model management, edge device management, automated deployments, zero-trust security, data privacy, and full control over applications and data.

Deep Neural Networks (DNNs) have made considerable advances in many industrial domains in the past few years, bringing the accuracy of computer vision algorithms to a new level. However, deploying and producing such accurate and useful models requires adaptations for the hardware and computational methods. OpenVINO allows the optimization of DNN models for inference to be a streamlined, efficient process through the integration of various tools. The OpenVINO toolkit is based on the latest generations of Artificial Neural Networks (ANN), such as Convolutional Neural Networks (CNN) as well as recurrent and attention-based networks. For more information on what Artificial Neural Networks (ANN) are all about and how they are incorporated in computer vision, we suggest you read ANN and CNN: Analyzing Differences and Similarities. The OpenVINO toolkit covers both computer vision and non-computer vision workloads across Intel hardware. It maximizes performance and accelerates application development. OpenVINO aims to accelerate AI workloads and speed up time to market using a library of predetermined functions as well as pre-optimized kernels. In addition, other computer vision tools such as OpenCV, OpenCL kernels, and more are included in the OpenVINO toolkit.