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This paper introduces the development and industrial implementation of artificial intelligence in the security IOT industry, including products and solutions. How to take advantage of the Movidius chip on the production side in the smart front-end camera and how to provide more space for the extension of artificial intelligence.
Computer Vision (CV) is this year's breakthrough technology, and Go is this year's hottest programming language. When you put them together, you can create CV applications that provide high performance with minimum code. Adding Deep Neural Network (DNN) capabilities to the mix allows you to create whole new kinds of software applications.
In this talk, I will take you from the basics of CV, all the way to flying a Intel Movidius powered drone. Get ready for a wild ride!
Intel has recently entered the Computer Vision and Deep Learning domain with its OpenVINO® solution. It’s important to understand the performance aspects and other productization challenges of using Convolutional Neural Networks (CNNs) with Intel® technology-based hardware, and how OpenVINO solved them.
In this session, you’ll learn how CNNs are executed on such varied target environments as low-power, always-on embedded platforms or full-blown servers. Deploying CNNs is challenging, as the end target environment typically look very different from the training environment. Training is typically done on high-end data centers, using popular training frameworks such as Caffe* and TensorFlow. Scoring (inference), in contrast, can take place on embedded devices or accelerators like FPGA.