Intel Global IoT DevFest IV

Jun 18, 2019 ‐ Jun 19, 2019



Sessions

Tailoring Edge AI to Meet the Future

Jun 18, 2019 3:00am ‐ Jun 18, 2019 4:00am

Identification: T1_K1

Speaker(s):
  • Spincer Koh, CEO & Co-Founder, Gorilla Technology Group

IEI - Accelerate AIoT into the Edge Computing

Jun 18, 2019 4:00am ‐ Jun 18, 2019 5:00am

Identification: T2_T1

Speaker(s):
  • Don Yu, Don Yu , IEI Integration Corp.

Scaling Mainflux - Open Source Internet of Things Platform

Jun 18, 2019 4:00am ‐ Jun 18, 2019 5:00am

Identification: T2_T4

Mainflux is open source, Apache 2.0 licensed high performance and scalable IoT middleware platform. Mainflux is designed to handle and process data coming out of your IoT devices, edge gateways, LoRa gateways and deployments.

Mainflux is developed using microservice architecture and Go programming language. Thanks to its design and technology choices, Mainflux can be deployed on gateway type device, on a single server or it can be scaled using kubernetes to multidata center systems. Mainflux is cloud agnostic and can be set up on any public or private cloud. Mainflux IoT Platform has several components:

  • Mainflux IoT Core
  • Mainflux Edge Component based on EdgeX Foundry
  • Mainflux LoRaWAN Server
  • Mainflux Bootstrap and Provisioning Servers

This session will cover main features of Mainflux IoT platform and show how to create full featured IoT solution using Mainflux IoT middleware platform. We will explain:

  • How to deploy EdgeX foundry as Mainflux Edge component to a Mainflux IoT Gateway based on Intel E8000 silicon.
  • How to connect both control and data planes to Mainflux IoT Platform.
  • How to deploy Mainflux IoT Platform on top of Kubernetes cluster and create highly available and scalable IoT solution. 
  • How to use Mainflux Bootstrap and Provisioning servers to automate provisioning and configuration of remote devices.

Speaker(s):

Microsoft Azure* IoT Edge and AI - Enabling the Intelligent Edge

Jun 18, 2019 5:00am ‐ Jun 18, 2019 6:00am

Identification: T3_T4a

The holy grail of the Internet of Things is the ability to easily distribute the intelligence of your application across the Cloud and the Edge. Being able to run analytics, AI or store data at the Edge addresses many common and key enterprise IoT scenarios. Come learn how to easily create deployments for IoT devices that include AI, Machine Learning, Stream Analytics, as well as your own custom code on devices smaller than a Raspberry PI.

Speaker(s):

Future of IoT securityFuture of IoT security

Preview Available

Future of IoT security

Jun 18, 2019 5:00am ‐ Jun 18, 2019 6:00am

Identification: T3_T4b

While IoT brings great business value and opportunities to the organizations, it also brings unseen security threats & risk at the same time. Though the traditional security controls do have a major role to play in IoT security, but it does not solve all the challenges resource-constraint-unsecure IoT devices bring with it. Due to sheer number of these IoT devices, constrained environment they operate in, and lack of inter-operability and security standards, it's a need of hour to address IoT security challenges with the different set of approach and purpose-built security controls to get the long term security benefit and right ROI over longer run. To address these IoT challenges, Intel's built in hardware security features together with SW ecosystem plays a very important role in building & deploying  the secured IoT devices and system for risk-free* operations.

Speaker(s):

A Machine Learning Model for Detecting Respiratory Problems Using Voice Recognition

Jun 18, 2019 5:00am ‐ Jun 18, 2019 6:00am

Identification: W3_T4

The session provides an overview of the development and intelligent voice data analysis from a machine learning perspective; a historical, state-of-the-art view and a view on some future trends in the field of artificial intelligence. The session describes some areas within voice recognition domain which seem to be important for applying machine learning in medical diagnosis. This describes a recently developed method of detecting respiratory problems quickly by recognising the changes in voice over time. Machine learning algorithms are applied here. 

Speaker(s):

Consolidating Industrial Systems Using Virtualization and Containerization Software Solutions

Jun 18, 2019 6:00am ‐ Jun 18, 2019 7:00am

Identification: T4_T2

Whether an industrial equipment company is building equipment and devices for manufacturing, energy, medical, transportation or another segment, they are experiencing a dramatic digital transformation from a focus on hardware technology to a new modern focus on software technology that allows the consolidation of industrial systems. Two software technologies are helping to bring this digital transformation to the design and building of the latest generation of industrial equipment and devices: virtualization and containerization. Attend a Wind River session and discover how virtualization and containerization technologies are enabling the consolidation of industrial systems and driving the digital transformation of the manufacturing, medical and rail transportation market segment.

  • Learn about virtualization and container technologies
  • See how industrial systems are being consolidated through modern software solutions
  • Review how they are bringing the benefits of digital transformation
  • Discover use cases for manufacturing, medical and rail transportation

Speaker(s):

Fully-Offline Voice Interfaces for Applications on the Edge with Intel NLP Architect

Jun 18, 2019 6:00am ‐ Jun 18, 2019 7:00am

Identification: T4_T4

Abstract:  "Applications at the Edge" — so what does that truly mean? Since the introduction of Apple Siri, voice interfaces have been commonplace in today’s consumer electronics. There’s even a new product category for consumer electronics called, "smart speakers", which is a household device (most notably, the Amazon Echo) that allows the user to interact with the unit completely with their voice. Voice interfaces work when a mobile phone or smart speaker captures the user’s voice and then subsequently transmit the audio data to the cloud for text transcription (converting the voice data to text). After the audio has been converted to text, some action is performed on behalf of the user or an audio response is given. For a truly hands-free experience, these devices are capable of allowing the local microphone to be active 100% of the time, and the unit will give you a response when it hears a “wake word”, such “Hey Siri”, “Alexa”, or “Ok Google”. In that case, the speech is recognized locally, and all subsequent audio data is sent to the cloud for processing as before.
 
Now, there are several companies that offer cloud-based speech recognition and NLP (natural language processing) tasks as a cloud-based service. However, what if you wanted to create a voice interface for either a desktop application or for an IoT device and you don’t want to pay a 3rd party service indefinitely during the lifetime of your product? What if you're an automaker, and you want your drivers to control various features of the car, without needing reading the (dreaded) user manual? What if you needed to voice-enable a software application that works with sensitive personal data, such as a hospital with medical data or a bank with financial data? All of these situations are real-world scenarios where using a cloud-based speech and NLP service is neither practical nor pragmatic.
 
Therefore, the purpose of this talk is to explain challenges that developers will face when they need build a fully-offline voice interface. The participant will not need to have any experience in Natural Language Processing or linguistics. The talk will assume that the user already has access to a platform or service that provides speech-to-text services since this is a commodity service provided by multiple companies in the industry. Therefore after explaining the problem statement and use cases, we will deep-dive and explain how to use Intel NLP Architect to process statements in Natural Language and perform "intent extraction" on text statements.

Speaker(s):
  • Bruce Hopkins, Manager of Research and Development, Zontisa Smart Technology

IndustryFusion - a scalable open source solution to connect SME's in manufacturing

Jun 18, 2019 7:00am ‐ Jun 18, 2019 8:00am

Identification: T5_T2

While Industry 4.0 (I4.0) is adopted by the global players with a high pace, there is a risk that the SMEs, which are the backbone for industrial innovations, are left behind. In Germany, as an example, the SMEs are responsible for 97% of all exports, 60% of all manufacturing related employments and originate 1300 of the world wide Hidden Champions.

Unfortunately, most of the available I4.0 solution do not match the SME's requirements, which are among others independence of specific vendors, moderate deployment costs and data sovereignty.
To solve this problem, the Industry Business Network 4.0 (IBN 4.0) was founded in 2016 by innovative medium-sized companies that want to cooperate on I4.0 and promote a joint SME ready solution based on open components.
Goal of this talk is to present the requirements, architecture and current state of the implementation of IndustryFusion, which is a scalable open source solution to connect machines and devices of SME's, and create thereby the foundation of new innovative business models. Furthermore, we will describe the security architecture and the open source components the project is based on like StarlingX and the Open IoT Service Platform.

The talk is presented by Konstantin Kernschmidt, Martin Mohring and Marcel Wagner. Konstantin is from the IBN 4.0 Association, and the project lead of IBN 4.0, Martin is CTO of 5e EcoSystems, a StarlingX System Integrator and Marcel is software ecosystem enabler, working for Intel.

Speaker(s):

RosDroid: Enrich GUI of Ros with Android

Jun 18, 2019 7:00am ‐ Jun 18, 2019 8:00am

Identification: T5_T4

Service robotics includes but not limited logistic systems robots, defense robots, field robots (milking robots), public relations robots, powered human exoskeletons, medical robots. The market for service robotics is experiencing a perfect storm of circumstances that are driving growth. These circumstances include market readiness, technology maturity, delivered value, cost and availability, and the maturity of related technologies.

Generally, two or more SoC are used for service robotics. One SoC is running with Robot Operating System (ROS) to collect the information of environment and control motion of Robot. Other Soc are responsible for hosting GUI to interact with customers. Due to the rich app ecosystem, Android is always selected as GUI OS. Rosbridage or RosJava is used as the communication solution between Ros OS and Android OS.

Current two SOC solution bring some issues to customers. Firstly, two SOC solution means high cost and maintain effort. Secondly, TCP/IP based comminution brings performance overhead. Lastly, without security checking mechanism bring more risks of DDOS attach on some core nodes of ROS.

Our novel solution, named RosRoid, is trying to reduce the paint point by consolidating ROS OS with Android in single computing platform. Two mixed OS are running in single kernel and isolated by each other. Moreover, binder based communication solution reduces performance overhead and brings security check mechanism to avoid DDOS attack.

Speaker(s):
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