Developing IoT Applications Using Intel® System Studio | Eclipse IoT Day Santa Clara 2019

Editor's Notes

• #4: Vertical market applications are key drivers for IoT, as they solve market-specific business problems and address particular use cases. So, partner with vertical experts who provide solutions and services that complement horizontal capabilities. Vertical experts have the knowledge of specific business operational and technical environments and their unique requirements, allowing them to integrate IoT with legacy systems and existing business processes Market Ready Solution in coordination with other companies like(e.g.Bosche) and Request for Proposal kits (partner from the solutions alliance comes with proposal for a kit and intel helps coordinate) MRS for industrial, smart cities, retail, education/enterprise, healthcare
• #5: Vision kit,  Open Visual Inference & Neural Network Optimization toolkit is compatible with popular machine learning frameworks such as the open-source TensorFlow and Caffe. With OpenVINO, developers will be able to build and train AI models in the cloud and deploy them across a broad range of products. Included in the toolkit are three new APIs: the Deep Learning Deployment toolkit, a common deep learning inference toolkit that scales across Intel Vision Products, and optimized functions for OpenCV and OpenVX. Develop professional-grade media and video applications for digital surveillance, retail, industrial, smart home, video conferencing, and more using the libraries, tools, and samples included in this SDK. Its single API enables hardware acceleration for fast video transcoding, image processing, and media workflows while helping you use the capabilities in Intel® Quick Sync Video. The Intel SDK for OpenCL Applications is a comprehensive development environment for developing and optimizing OpenCL applications on Intel® platforms, and part of an increasingly rich portfolio of Intel tools for heterogeneous programming. The SDK supports offloading compute-intensive parallel workloads to Intel® Graphics Technology using an advanced compiler for OpenCL kernels, runtime debugger, and code performance analyzer. The SDK and driver and run-time packages are installed separately. Intel active
• #6: IEI and Aaeon AI and IoT kits Mraa and upm libraries – my colleague Tudor who just presented before me about them. Based on CDT and that gives the advantage it works well with other plugins or enhancements that empower cDT.
• #7: UEFI agent – tools for building bios JTAG using system trace and debug over TCF.
• #8: 7
• #10: Mention about login details
• #15: Useful for cross compilation and custom toolchains. You can use cmake or makefile based projects inside docker. Management of custom images . CDT now has the redhat docker plugin.
• #17: Target Communication Framework
• #18: AI vision kit comes pre loaded with ISS and tools , even with a workspace and sample loaded to get developers going. Use our analyzers like vtune to identify bottlenecks/hotspots while using compute intensive applications. For a vision application, by analyzing one stage at a time, you can figure out which node or network is not optimized. Works with Python.