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57 items tagged "hanoi release":
Hanoi is the 7th successful community release of EdgeX Foundry. It is a minor/dot release (version 1.3) and backward compatible with Edinburgh (1.0), Fuji (1.1) and Geneva (1.2) along with any patch releases of the 1.x releases.
Edge Xpert 1.8 is the latest release based on EdgeX Foundry's Hanoi update plus new features including Computer Vision, Device Configuration Tool and Connectivity and Platform Upgrades
IOTech has been a member of the Linux Foundation's EdgeX Foundry project since its inception in 2017. IOTech is now a member of LF Edge - an umbrella project for open source edge software that includes EdgeX Foundry.
IOTech Systems Limited - the IoT edge platform company, today announced the release of Edge Xpert v1.6 the latest version of its IoT software platform targeting industrial edge applications. Edge Xpert is IOTech's product quality and enhanced implementation of the Linux Foundation's EdgeX Foundry™ the leading open source edge computing platform. Edge Xpert builds on the latest version of the baseline EdgeX technology, in this case the recent Fuji release, to create a high quality commercial solution that can support a broad range of industrial use cases. Edge Xpert includes a suite of industrial grade connectors including in this release support for EtherCAT, PROFINET and CANbus protocols. This adds to the extensive southbound connectivity that already includes Modbus, BACnet, OPC UA and others.
At IOTech, we are delighted to announce the release of version 1.5 of the Edge Xpert Open IoT Platform. Edge Xpert is our commercially supported implementation of the Linux Foundation's open-source EdgeX Foundry project. Aimed at Industrial IoT Edge applications, the Edge Xpert product builds upon the latest stable version of the baseline EdgeX technology, in this case, the Edinburgh release, to create a high quality and fully customer supported solution.
In conjunction with existing support for IP camera and video device connectivity, Edge Xpert users can now easily control camera devices, collect video streams and automatically apply AI and vision inference right at the edge. The service supports deploying models that can include object detection, classification and recognition, and passes that inferred intelligence to other services for decision making and control. Edge Xpert already supports ingestion of data from many industrial protocols and devices so users can fuse together and aggregate sensor data with vision inference results to give a complete and accurate picture of the edge environment.
Edge computing is all about the premise of an organization processing its operational data at the edge of the network. That means performing data collection functions and running decision making and control algorithms as close to the edge sensors and OT devices as possible. The EdgeX Foundry framework helps makes that premise a reality and provides an open, vendor-neutral approach for doing so. However, we must never lose sight of the fact that businesses will want to understand the full implications, including the fully loaded cost, of rolling out an edge system. EdgeX is a fantastic project for helping to simplify the challenges of edge computing. The open-source and collaborative nature of the project brings together ideas from edge experts around the world. However, to pick up the point about businesses needing to understand the full implications of selecting an edge solution, companies are usually reluctant to deploy open-source code without having guaranteed help at hand and support contracts in place.
I am delighted to announce that the latest version of IOTech's Edge Xpert open edge computing platform is now released and available to download and deploy. Edge Xpert 1.7 is another leap forward in both the usability of the product and further expansion of the edge connectivity options provided out-of-the-box. Easier to Use and New Tooling, Device Connectivity, cameras and videos, cloud connectivity are enhanced features added to this update. The release is based on EdgeX Foundry's Geneva release
IOTech Announces Edge Xpert 1.7 - The latest version of its open edge computing platform with an additional focus on ease-of-use and connectivity for the edge. Edge Xpert 1.7 is another leap forward in both the usability of the product and further expansion of the edge connectivity options provided out-of-the-box. The main aim of Edge Xpert is to make life easy for developers of IoT edge solutions. It is an edge computing platform that enables the simple integration of OT and IT systems with a number of connectivity and edge computing features delivered as standard. It is a testament to the endeavours of the IOTech engineering team that so many new features and enhancements have been added since the last version, despite the obvious restrictions and changes to working practices brought about by Covid-19.
Edge XRT v1.1 adds configurable OT and cloud connectivity options, improved tooling and comprehensive support for Microsoft's new generation of Azure Sphere embedded MCUs. Edge XRT greatly simplifies the development of time-critical IoT systems at the edge and enables application portability, improved supportability and faster time-to-market for new IoT edge applications. Edge XRT runs on commodity hardware, independent of the silicon provider and operating system, and has complete deployment flexibility. It can be deployed as a native application, containerized and/or into a virtualized environment. With its small memory footprint and efficient use of computing resources, Edge XRT is suitable for microcontroller-based IoT applications, including instrumentation and equipment monitoring, automobile engine management systems, medical devices, home automation and consumer electronics.
The latest release of open edge computing platform features new ease-of-use and industrial connectivity features. IOTech announced the release of its Edge Xpert v1.7, the latest version of the company's comprehensive and extensible edge computing platform. Based on the EdgeX Foundry 'Geneva' release it also includes many features that are exclusive to Edge Xpert. The vendor-neutral Edge Xpert is an open edge computing platform designed to greatly simplify and decrease OT and IT integration effort at the edge. It provides new features to reduce development effort, time to market and, ultimately, the total cost and business risk of developing edge computing solutions.
Download and evaluate Edge Xpert, Edge XRT and Edge Builder - IOTech's IoT Edge software and system management platforms for Industrial IoT Edge applications. Available for Linux, Windows, Debian, Ubuntu, Microsoft Azure Sphere.
Find out how Industrial OEMs and ISVs are transforming their customer's operations by adding new edge computing capabilities to their solutions
IOTech, the edge software company, today announced its partnership with Concept Reply, the leading accelerator for IoT in Germany. The partnership enables Concept Reply to integrate IOTech's edge software technologies, including Edge Xpert, Edge XRT and Edge Builder, into their IIoT solutions.
IOTech, the edge software company, is partnering with PMY Group (PMY), a leading independent technology company to drive innovation in the venue management industry. The organizations are collaborating to integrate IOTech's edge software technologies with PMY's venue management solutions.
IOTech, the edge software company, today announced the launch and availability of Edge Builder, its end-to-end management solution for edge systems. Edge Builder provides a comprehensive, flexible and open solution that simplifies and automates the management of edge systems at scale.
Watch Tom Urquhart, PhD., IOTech SVP Global Solutions and Microsoft's Tom O'Reilly, Global IoT Ecosystem for Azure Sphere as they present the business problems that can be solved when you combine the world's first Time-Critical edge software platform Edge XRT with Microsoft Azure Sphere. Edge IoT devices are going mainstream and organizations now have the opportunity to deploy edge data acquisition and processing much more quickly and cost-effectively. Microsoft Azure Sphere is an application platform with built-in communication and security features for internet-connected devices. It comprises a secured, connected, crossover microcontroller unit (MCU), a custom high-level Linux-based operating system (OS), and a cloud-based security service that provides continuous, renewable security. To get the most benefit from Azure Sphere, Microsoft is collaborating with IOTech to deliver a deployment ready edge solution, now possible with IOTech's Edge XRT, which is optimized for highly embedded environments such as Azure Sphere. IOTech's Edge XRT product runs natively on Azure Sphere and provides standard OT connectivity to popular OT protocols 'out of the box', edge data processing and seamless data communications with Azure IoT Hub including support for Digital Twins. There is no need to code from scratch, you simply configure, deploy, and go.
IOTech's commercial-grade device connectors enable EdgeX users to simplify the work required to connect and communicate with different devices at sensors at the IoT edge using Modbus, OPC UA, BACnet, REST and more. EdgeX users can now utilize IOTech's commercial-grade connectors and all customers can purchase exactly the products they need using our new online store. IOTech's new device connectivity tooling makes it easy to create the configurations that describe your edge IoT devices. It's then really simple to get those devices quickly onboarded to either one of IOTech's commercial edge platforms or the open-source EdgeX Foundry platform. We are really pleased to have made that tool available as a free online service to the EdgeX community. Expertise in Industrial Connectivity we have built up a large set of device connectors for our Edge Xpert and Edge XRT platforms and support a long list of protocols including Modbus, BACnet, OPC UA, BLE, Zigbee, EtherCAT, EtherNet/IP and many others. Whether your industry vertical is manufacturing, process control, telemetry, building automation or retail, you need will device connectivity. Read about the full list we provide here.
Utilize IOTech's edge software platforms and commercial-grade connectors by purchasing exactly the product features you need using our new online store. Recognizing that our products offer a wide range of edge computing features and that not all customers will use every capability or need to use every type of device connector, we have simplified the commercial model and the way in which our products can be selected and deployed. So, in response to customer demand, our marketing team has been working on making our products available to purchase online. This is now live and coincides with the Edge Xpert 1.8 release we have just made. Our new online store makes it easy and convenient to buy exactly the product set you need for your edge solution deployments. You can buy the exact number of units of Edge Xpert or Edge XRT that you need, the specific device connectors for your use case, the optional SDKs when you need them, and any other add-on you require. You can also choose the support and training options you need. All of this keeps the pricing competitive and provides great value to the customer. We support credit card payments or you can request a quotation which will allow you to raise a purchase order in your organization before returning to your account to complete the order.
Edge computing focuses on the processing of operational data at the edge of the network. That means performing data collection functions and running decision making and control algorithms as close to the edge sensors and OT devices as possible. However, it is also clear that cloud computing continues to provide much value in the Industrial IoT space. This means that most systems require a hybrid solution consisting of both edge and cloud components working together in a cohesive way. Users require the ability to utilize cloud resources for heavy-duty applications, while using edge computing for lighter-weight processing and local, real-time insights. IOTech's edge software products enable seamless yet secure data sharing between your edge and cloud environments.
Join James Butcher, IOTech Product Manager and recognized industry expert for the latest instalment in IOTech's Webcast Series as he discusses the need for interoperability between Edge and Cloud architectures and why a Hybrid model is the way forward. There is currently an acceleration from fully centralized cloud-based systems to distributed architectures driven by edge computing. Cloud computing alone is unable to handle the vast amounts of data that will be created by the billions of connected devices that are predicted, or the need for local insights from the latency-sensitive applications on which they depend. However, most systems will not solely rely on edge computing solutions either. In fact, fully autonomous edge applications are quite rare.
IOTech's IoT platforms, Edge Xpert® and Edge XRT® enable Google Cloud customers to extract and process data from a broad range of OT devices at the edge
IOTech are excited to announce the release of Edge Xpert 1.6. This is a significant new product release for a number of reasons but I wanted to highlight in this blog about how version 1.6 includes the initial availability of Edge XRT. Edge XRT is a new IOTech product we are launching and is the first real-time edge computing platform for the Industrial IoT. Aimed at real-time industrial process automation and embedded microcontroller applications, XRT enables ultra-low latency, high frequency data processing in a powerful edge computing platform. Edge control systems can utilize XRT to make key data-driven decisions within the deterministic timeframes demanded by time-critical IoT applications. We designed XRT to be a fully integrated and complementary extension to EdgeX Foundry, the leading open source edge computing platform. XRT now makes EdgeX the only IoT edge platform capable of supporting the full spectrum of secure hard and soft real-time IoT edge computing needs, and I think our users will really like this new capability.
One of the companies addressing advanced computing functionality in the Cloud is IOTech, an Edge software company, who recently launched Edge XRT, a time-critical edge platform for Microsoft Azure Sphere, a secured, high-level application platform with built-in communication and security features for connected devices.
Building System Integrators benefit from a simplified environment for collecting, processing and integrating data from multiple different devices at the edge.
IOTech, the edge software company, announces its partnership with Lotus Labs, the ML experts, to deliver AI and visual inference solutions at the IoT edge.
As specialists at the IoT Edge, IOTech's software products allow users to connect, onboard and acquire data from a whole host of different OT devices. To add cameras to that list, IOTech have created a software service that lets you easily connect to and control ONVIF compatible devices.
IOTech, the edge software company, is collaborating with Building System Integrators, which specializes in the design, development and commissioning of building automation solutions, to increase the control and management capabilities for systems including HVAC, BAS and EMS.
IOTech, the edge software company, today announced the launch and availability of Edge XRT, its time-critical edge platform for Microsoft Azure Sphere. Designed and optimized for resource-constrained environments, Edge XRT delivers out-of-the-box device connectivity and edge intelligence for microcontroller units (MCUs), gateways and smart sensors at the IoT edge. It reduces time-to-value from weeks to hours. Azure Sphere is a secured, high-level application platform with built-in communication and security features for connected devices. It comprises a connected crossover microcontroller unit, a custom Linux-based operating system, and a cloud-based security service.
Edge XRT is adding a lot of value and provides clear differentiation over alternative approaches. The first is to provide a flexible IoT framework for microcontroller and microcomputer class devices, these are environments with memory constraints less than 1GB and as low as 256KBs, typically running a low powered ARM processor. Creating IoT applications for these types of device is normally the realm of custom/bespoke application code created by highly experienced embedded developers. What our users like about Edge XRT is that in many cases they can create connected edge applications simply by configuring Edge XRT's standard components without the need for complicated programming, although they can of course create components of any complexity if needed. This capability was highlighted in our recent webcast "Accelerating Time to Value for IoT Applications at the Far Edge" where we discussed our partnership with Microsoft. Over the last six months we have been working with the Microsoft Azure Sphere team who have in turn been partnering with a number major hardware vendors to create a new generation of secure, certified chips and MCUs based Azure Sphere IoT technologies. In this case, Edge XRT provides a standard configurable IoT application layer for Azure Sphere devices that can reduce time-to-market for new edge applications deployed within the Azure ecosystem from weeks to days.
Keith Steele, IOTech CEO, EdgeX Foundry Board member and Technical Steering Committee (TSC) Chair gives his views on why the EdgeX Foundry project has generated so much momentum in just six months after launch, spotlighting also the importance of credible commercialization partners. What is driving this momentum? First and foremost, there's a market need, the industrial internet of Things (IIoT) market is projected to grow to $195B in the next few years (source Markets and Markets), with at least 40% IoT data stored, processed, analyzed at or near the edge (source IDC). Secondly, there's a technology gap as identified by the IIC's Edge Computing Task Group, the Open Fog consortium and many industry-leading companies. Peter Levine from Andreessen-Horowitz has provocatively suggested that the age of edge compute is taking over the cloud.
Edge Xpert addresses security issues at the edge via restricting access and authorization, authentication and secret management which are key aspects of the platform infrastructure. Threat detection is also a feature that comes in partnership with RSA for added support for integrated threat detection and live monitoring capability at the edge.
Edge Xpert is a comprehensive yet open and extensible edge computing platform based on EdgeX Foundry's open-source platform developed to greatly decrease OT and IT integration effort, reduce time to market and lower your total cost and business risk.
The key objective of the EdgeX Foundry project is to create a flexible and open Edge IoT platform that can support a range of different vertical use cases across markets as diverse as manufacturing, oil & gas and smart energy. A key vertical market that has emerged where the community and IOTech, in particular, have been involved in multiple projects is Building Automation. Why is Building Automation proving to be such a sweet spot for EdgeX? IOTech's experience is that the requirements of the next generation of Buildings Automation applications align perfectly with the capabilities of EdgeX. In particular, a modern building is a sophisticated and heterogeneous environment consisting of diverse subsystems including lighting, HVAC and access control. Data can be generated from multiple sources using a range of different device/sensor technologies and protocols (e.g. Modbus, BACnet, DALI, MQTT and others). The sensor data must be normalized by the IoT platform running on an Edge node e.g. an industrial Gateway or on-premise server. The data can then be fed into the building management analytics which can make smart control decisions in "near" real-time on how to automatically optimize the building environment for the benefit of the users and also the building owners. The openness of EdgeX (can support any "Southbound" OT protocol or "Northbound" Cloud endpoint) and its platform independence (not tied to a specific operating system or hardware/silicon) is key to its suitability for Building Automation use cases.
You now have an application to handle edge/IoT sensor data, make decisions locally, and actuate at the edge. You can even get the data back to your enterprise or cloud safely and affordably with that edge application.
Join Jim White, IOTech CTO and recognized industry expert for the latest instalment in IOTech's Webcast Series as he discusses the problem of managing edge deployments at scale.
IOTech's new device connectivity tooling made available to the EdgeX community to save developer time and foster collaboration. IOTech's edge computing software platforms are designed to support cases exactly like this. Based on the Linux Foundation's open source EdgeX Foundry project, Edge Xpert and its time-critical sister product Edge XRT are modern microservice architectures with dedicated Device Service connectors that are designed to easily interface with the devices found at the IoT edge. The EdgeX Device Services provide a decoupling where devices and sensors speaking different protocols are easily connected to the platform via a standard code-free mechanism. To connect a device to EdgeX, the user just needs to configure the mapping between the device's attributes and EdgeX.
Watch IOTech's latest Edge Xpert Demo using EtherCAT Device Services - the Edge Xpert Device Service allows data from different OT protocols to be ingested from the platform where it can be aggregated, analyzed and shared to other Edge and Cloud systems for further use and storage. EtherCAT stands for Ethernet for Control Automation Technology. It is a fieldbus protocol implementing a master/slave architecture over Ethernet where a packet is transmitted by the master at a user-configurable cycle time. It adopts a unique approach where the packet is not fully processed by each slave individually, but rather as the packet travels through each slave, only data meant for that individual slave is taken, and output data from the slave is written to the packet. This on-the-fly processing and its distributed clock mechanism allow EtherCAT to achieve high data rates, low latency and synchronised output actions.
IOTech is partnering with security experts RSA to show how IoT edge computing can help you get IoT secured and allow you to focus on the business benefits that the edge can bring. As part of this webinar, IOTech and RSA will be demonstrating the joint solution running in an Industrial IoT context: Watch how IOTech's Edge Xpert platform is easily configured to ingest and aggregate data from multiple different edge devices communicating via different industrial protocols. See how the Edge Xpert platform enables the realization of edge insights via analytics, control and visualization applications all locally and on-premise. Crucially, watch how the solution can be easily extended to add RSA's IoT Security Monitor as part of the deployment. The RSA IoT Security Monitor edge agent is seamlessly deployed and managed by Edge Xpert and adds the capability to detect, monitor and report security risks as the edge IoT system is running. We simulate some common security threats that exist in this environment and show how these are collected, aggregated and delivered to provide a complete and secure framework for industrial edge computing
In this video, we will demonstrate how you can use PROFINET to communicate with IO device sensors using the PROFINET Device Service connector - this is a new device service that allows IOTech's Edge Xpert platform integrates to PROFINET systems. Aligned with IOTech's edge computing solutions, one major domain where large scale edge computing is expected to be adopted in the near future is manufacturing. Industrial Ethernet-based technologies such as PROFINET, S7 and EtherNet/IP, etc. are playing a key role in enabling connectivity to support device monitoring and control. Edge computing helps manufacturers turn the vast data sets generated by machines into insightful and actionable data. It does so by utilizing resources connected to a network, such as temperature sensors, alarms or motor drives. This in turn enables big data analytics to be performed at the source of the data; thereby transforming current manufacturing processes into next-generation IoT enabled smart manufacturing.
Since we launched Edge XRT over a year ago the technology is proving to be a big success with our customers. Edge XRT is already helping major Industrial OEM and ISV partners leverage the product's multi-vendor OT connectivity, cloud interoperability and high-performance edge processing capabilities to create a new generation of protocol-agnostic edge solutions. With the advent of the Internet of Things (IoT) industrial users/customers are increasingly seeking new solutions that allow them to leverage their equipment data in ways not previously possible to support new use cases that utilize the latest advances in AI, ML and software automation to improve the efficiency of their operations. Industrial OEMs and ISVs are responding with the next generation of software defined solutions that are far more configurable and extensible than was previously possible. In particular the ability to connect to any OT device and interoperate with different IT/Cloud endpoints is critical to achieving this flexibility.
Explore the challenges of Time-Critical computing at the IoT Edge - how platform technology can accelerate development and deployment of maintainable and portable solutions and the types of use cases where this technology is applicable. What are the characteristics and challenges faced by Time-Critical edge systems. The importance of edge platform technology to meet these challenges. What are some of key Time-Critical use cases at the edge . What capabilities do the edge software platforms need to provide to support. Time-Critical use cases. What's the business case for buy versus build. Edge XRT Time-Critical Edge Platform in action and the numbers
IOTech is in the business of providing those answers. Our Edge software products are built on open technology as used by thousands of users worldwide. The products allow you to develop, deploy and manage any AI workloads, third-party Edge applications, or your own business logic on any Internet of Things (IoT) edge node with complete deployment flexibility. Our software solutions cover the full spectrum of secure hard and soft real-time Edge Computing, maximize user choice and provide a software foundation for effective collaboration across multiple vertical markets at the IoT Edge.
Download Edge Xpert, Edge XRT and Edge Builder software platforms, Solution briefs and Datasheets, access support and information from our knowledge base.
OTech, a new software company established with a vision to "build and deploy the pervasive, open, and software-defined compute infrastructure for the Industrial IoT edge" and founded by industry-acknowledged leaders and specialists in real-time software platforms for edge and fog systems, today announced it was joining the Linux Foundation's EdgeX Foundry™ open source project as a founding member. With its specialist Operational Technology (OT) and Distributed Real Time and Embedded (DRE) skills base, IOTech will be a major contributor to EdgeX Foundry™ and will support the project's rapidly growing global developer community and partner ecosystem by providing a vendor-neutral source of fully commercialized versions of the EdgeX code base. IOTech will also provide a range of services for partners and customers that don't want to productize or support the code themselves or have the skills or resources to integrate their software and hardware assets.
IOTech, a software company established with a vision to "build and deploy the pervasive, open, and software-defined compute infrastructure for the Industrial IoT edge" and founded by industry-acknowledged leaders and specialists in real-time software platforms for edge and fog systems, today announced that its CEO Keith Steele had been elected as the founding Chair of Linux Foundation's EdgeX Foundry™ open source project's Technical Steering Committee. EdgeX Foundry™ is a vendor-neutral open source project hosted by the Linux Foundation building a common open framework for Industrial IoT edge computing.
Edge XRT is the software platform for time-critical and resource-constrained edge systems that supports edge computing key requirements such as dynamic edge data processing and the integration of multiple different southbound OT and northbound IT/Cloud endpoints. Edge XRT also supports key non-functional properties such as small memory footprint (e.g. less than 100 KB), ultra-low latency data processing (e.g. less than 100 microseconds), predictable and deterministic real-time execution, and legacy hardware and/or operating systems
The emergence of Multi Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency access to radio network resources. IoT is identifed as a key use case of MEC, given MEC's ability to provide cloud platform and gateway services at the network edge. MEC will inspire the development of many new applications and services with demand for ultra-low latency and high Quality of Service (QoS) due to its dense geographical distribution and wide support for mobility. MEC is therefore an important enabler of IoT applications and services which require real-time operations.
As IoT adoption gathers speed an increasing number of projects are moving from small scale pilots to large scale rollout. At the edge users face a unique set of management challenges when deploying systems consisting of 100s or possibly 1000s of edge nodes. During the presentation, Jim tackles key edge management issues by focusing on approaches to managing both the nodes and their connected devices/sensors, as well as the applications that will be deployed on these nodes. The Session Cover: How is edge management different from cloud / enterprise management? Current edge management approaches, their strengths as well as their limitations. What are the differences between Node management, Application management and Device management? The need for open architecture edge management solutions
Edge computing provides a decentralized approach for device connectivity, data collection and intelligence that allows for real scalability. Edge computing focuses on processing data where it is produced, local to the devices at the edge of the network. As an example, consider the utilities industry and the large-scale monitoring of an electricity power grid. Modern companies are deploying telemetry systems where local substations can collect data from sensors and devices positioned along the network. It is far more efficient to route the sensor data to the substations than to a centralized cloud. The substations, which are often equipped with powerful computing facilities, can make sense of that local data and apply edge intelligence. That intelligence might be to automatically throttle the network to avoid a dangerous power surge or suggest that an engineer inspect a section of the network where readings are abnormal. In addition, many other sectors use edge computing, including manufacturing, retail, building automation, oil and gas, process control and fleet management.
Watch IOTech present our commercial EdgeX offerings used in real-world deployments at the EdgeX Foundry Adopter Series session. Continuing the Vertical Solutions EdgeX Adopter Series, Keith Steele - IOTech CEO and Jim White - IOTech CTO will present how they have built a successful range of COTS value-add edge offerings based on EdgeX Foundry.
IOTech will be participating as part of the Intel exhibit. Intel will highlight their Edge/AI/IOT portfolio and demonstrate how they and their partners such as IOTech are tackling the big challenges in edge computing and AI. The main Intel booth and supporting vertical booths (IoT Vision, IoT Retail and IoT Industrial) will showcase developer tools that make it easier to build, optimize, and deploy vision solutions at the edge.
We are excited to announce that LF Edge's EdgeX Foundry community is planning a series of hackathons focused on addressing real-world use cases. The event will focus on the retail market and work stemmed from the Commerce (e.g. Retail) Working Group within the EdgeX Foundry project and the related Open Retail Initiative (ORI). Participants will use their talents and creativity combined with the EdgeX framework, commercial content from sponsoring companies and the rules of the event to develop a solution for either one of the specified customer-valued retail use-cases or an additional open category.
Last week, we held a Face-to-Face Technical Steering Committee meeting in Palo Alto. It was another successful one and, after each meeting, my confidence grows that the EdgeX Foundry project will achieve great things. Before reflecting on the week, I'd like to pass on my thanks on behalf of the community to VMware who hosted the event at their wonderful Palo Alto facility. California Burritos from their cool on-site restaurant was a culinary discovery for me!
IOTech made its first-ever appearance at the National Retail Federation show this year (NRF2020 in New York City, Jan 11-14) and did so in style. IOTech's Edge Xpert platform was selected by two retail heavy-hitters, Intel Corporation and HP Inc. to power their demos of edge computing for retail use cases. The primary use case on show was Intelligent Loss Prevention - that is, how to maximize the customer convenience of self-service checkouts, while minimizing the potential losses suffered by the retailer. Self-service checkouts are now commonplace in supermarkets and growing fast in other stores, but the limited integration of data from the discreet devices and applications involved (e.g. bar code scanners, connected weighing scales, POS systems and video cameras) means they are prone to misuse and fraud (examples of that are the subject of a totally different type of blog). However, through innovations at the edge, live integration of this data and the addition of integrated user interfaces allows for misuse to be identified in real-time and store staff immediately alerted to 'help' the customer and investigate.
With the help of Basking Automation - our building automation partner, we designed the demonstrator so that the lighting and air conditioning of three distinct zones in a smart building could be automatically controlled based on the ambient conditions and the number of occupants in each zone. The role of EdgeX is to collect data from industrial-grade light and temperature sensors, then to efficiently manage the office environment by intelligently delivering the desired actuation values to the lighting and air conditioning units. The objective of the demonstration was to give an opportunity for visitors to the stand to affect the behaviour themselves by swiping users into zones, interacting with the sensors and observing the resulting changes to the lights and air conditioning units. The demonstration also included a power meter so that the efficiency gains from the automation can be easily observed. All this functionality was running at the Edge but we also demonstrated Cloud system integration by delivering data to the Basking platform which provides further detailed control and analysis for the building automation domain.
IOTech, the IoT Edge Platform company, announced today it is in the process of developing an EdgeX Foundry™ community demonstrator. EdgeX Foundry supports a common IoT edge framework enabling an ecosystem of plug-and-play components that unifies the marketplace and makes it easier for developers to build, deploy, run and scale IoT solutions for industrial, enterprise and consumer applications. This project is the first of several community demonstrators, which will be used to showcase the full capabilities of the EdgeX IoT Edge Platform across several use cases, and vertical markets. The first vertical market showcased will be Smart Buildings Automation and the first chance to see the demonstrator in action will be at IoT World Solutions Congress in Barcelona between the 16th -18th October 2018.
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edge computing, internet of things, IoT, Industrial IoT