Global IoT DevFest III


Winning IoT Opportunity in China Together

China is World’s 2nd largest economy, growing at high single digit over 4 decades. China is fast growing IoT market. A lot of IoT innovation, new usages are appearing in Smart Cities, Smart Manufacture, Smart Home, etc. In this session, speaker will introduce Intel IoT strategy in China, Intel’s portfolio for IoT and Intel’s new offering to developer to promote IoT innovation with AI technology.


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ACRN* Hypervisor: An Open Source Thin Hypervisor for IOTG Usage

Traditional hypervisors are all for server, where it works with request-and-response model in big iron with focus on sharing CPU cores, network and storage devices. Unlike a server, the IoT system is quite different: it requires small, simple, high-performance and certifiable solutions. As computing power goes up, IoT systems start to consolidate multiple different subsystems together with higher performance and lower cost.

In this session, we present the ACRN* hypervisor, which is designed for dedicated IoT systems. It takes the advantage of IoT usages, and maximizes the benefits of multi-core and modern virtualization technologies. It minimizes the footprint and achieves high performance for both partitioning and sharing usage in IoT systems, making it widely applicable to different IoT market segments from small devices to large edge computing devices.


Intel 智能设备和Autodesk Forge打造三维可视化物联网应用方案 Build IoT Application with 3D Viewable Model by Intel Smart UP2 Board and Autodesk Forge

The IoT is evolving rapidly with cloud technology and smart hardware. It’s widely used in CAD: for building maintenance, construction management, intelligent manufacturing, smart city, etc. This session showcases one of the hottest businesses today: IoT workflow with a viewable real 3D model. Using the new UP Squared* Grove IoT Dev Kit UP2 and Autodesk Forge* cloud service, developers can get started easier than ever before using with an IoT + 3D model solution.

These two technologies broke the barriers to data connecting, increasing speed and accuracy across the enterprise through connected systems while reducing complexity due to isolated data islands. In this session we explore building applications using UP Squared* Grove IoT Dev Kit and Autodesk Forge services.

  • 吴忠 Zhong Wu, 高级开发者顾问 Senior Developer Consultant, 欧特克软件(中国)有限公司 Autodesk
  • 梁晓冬 Xiaodong Liang, 高级开发者顾问 Senior Developer Consultant, 欧特克软件(中国)有限公司 Autodesk

Boost Performance, Power, Memory, and Storage Usage for System & IoT Solutions

This session introduces Intel® VTune™ Amplifier, a powerful performance profiler that’s part of Intel® System Studio.

Build your profiling expertise with these how-to demonstrations:
• Configuring to profile different target platforms and devices
• Key features for a range of analysis types
• How to interpret and understand collected data
• Performance tuning methodologies
• Real workload analysis case studies
• Using Intel® SocWatch for energy profiling and power optimizations
• GPU, memory, threading, and storage analysis

Tags: Tools

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Natural Digital Experience Leveraging Ambient Intelligence

Voice, vision and text are the most natural means of human communication by which we interact. These communication mechanisms can be extended to machines to achieve a natural digital experience (NDE). Touch revolutionized the way humans interact with devices such as mobile phones. Now, with the advent of digital assistants like Amazon Alexa* and ambient intelligence, voice is already on its way to heralding the next revolution.

This session provides an overview of NDE, including:

• Real-world use cases

• An architecture deep dive for NDE proof-of-concept (POC) involving voice, intelligent vision, and gestures, as well as a POC demo

• A vision for how machines can collaborate with humans, and each other, to achieve an autonomous ecosystem

Tags: Platform M2M

Intel Movidius 在前端摄像机的应用 Intel® Movidius in Front-End Camera Applications


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.

  • 殷俊 Jun Yin, 研发中心研究院总监 R&D Central Research Institute Director, 浙江大华技术股份有限公司 ZheJiang Dahua Technology CO., Ltd.

Utilizing Workload Consolidation in the Factory for Industry 4.0

The industrial world is undergoing a transformation known as Industry 4.0, or the Industrial Internet of Things. This transformation is leading to smart manufacturing systems with more compute capability at the edge. However, adding more compute capability increases OPEX, due to complexity of computer integration, as well as cabling, power and maintenance costs. The solution: “workload consolidation.”

In this session, you’ll learn how advances in processing performance, real-time operating systems, and virtualization technology are enabling workload consolidation in the factory to drive global industries from “automatic to autonomous” for Industry 4.0.

See how workload consolidation within the factory will allow multiple compute workloads to run on a common computing platform. The control of individual machines, manufacturing data collection, communications, security and safety functions can be consolidated into “virtual machines” within a single compute platform. Another advantage is that all data can be analyzed locally, so quicker decisions can be made rather than going back to the data center or cloud for further instructions.

  • Alex Wilson, Director, Business Development, Wind River

Intelligent Intrusion Detection System

Today, network and system security are of paramount importance in the digital communication environment. On par with the developments in technology, many threats to information security have emerged that can impact sensitive transactions: intruders can easily cause all kinds of breaches and crash networks, launch denial of service attacks, inject malware, and so on. To avoid such breaches, security administrators badly need a means to detect intruders and prevent them from entering the network. Nowadays, new threats and associated solutions are emerging together.

This session showcases a hybrid intrusion detection system that leverages the benefits of machine learning techniques to build a system that detects intrusion and alerts network administrators. This system can be extended from intrusion to breach detection as well.

The developed system analyzes and predicts user behavior, which in turn classifies as an anomaly or a normal behavior. Other systems use just one machine learning algorithm to solve the problem, while this hybrid intrusion detection system uses a combination of algorithms for classification, achieving greater accuracy.

Tags: ML Security