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65 items tagged "device connectivity":
IOTech's Device Connectivity software greatly simplifies the work required to connect to and communicate with different devices and sensors at the IoT edge. It presents a large set of easy-to-use device connectors that support fast and efficient data flow from the devices to edge and cloud platforms.
IOTech provide support for easily connecting to edge devices via a large number of common OT protocols. Each device connector is delivered as a low footprint microservice that can be used for fast and efficient data flow to either Edge Xpert or Edge XRT.
Accelarate Your Device Connectivity with Advanced Tooling. IOTech's Device Configuration Tool provides a quick and easy process to create, edit and manage device configurations making it straightforward to connect and onboard devices at scale. The Device Configuration Tool supports the Edge Xpert, Edge XRT and EdgeX platforms.
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.
The Internet of Things (IoT) has produced a huge surge in the number of devices that need to communicate with both edge and cloud systems. One of the key challenges of the IoT, therefore, is to provide seamless support for device connectivity and data flow. Edge computing plays a crucial role here. It helps create the abstraction and bridging point between the OT edge environments where the data is being produced and locally processed, to the IT and cloud environments where the data can be further harnessed and integrated to back-end systems.
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.
Easily discover, connect and then read and write data to Bluetooth Low Energy devices with IOTech's high-performance BLE device connector. Bluetooth Low Energy (BLE), is a light-weight subset of classic Bluetooth and was introduced as part of the Bluetooth 4.0 specification. BLE is a close-range, wireless technology that is prevalent in connecting low-power or battery-based consumer IoT devices including wearables, phones and tablet PCs.
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
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.
Find out how Industrial OEMs and ISVs are transforming their customer's operations by adding new edge computing capabilities to their solutions
Edge computing solutions offer a place for collecting, computing and storing smart meter data before transmitting it to the cloud. This environment acts as a bridge in the middle of the smart grid and the cloud. It is geographically distributed and overhauls cloud computing via additional capabilities including reduced latency for more responsive grid control, increased privacy and locality for smart grids.
Connect to a Zigbee network and easily read and write data to devices with IOTech's high performance Zigbee device connector. Zigbee is an open wireless mesh network protocol managed by the Zigbee Alliance group. It is designed to transmit small amounts of data between low-power devices on the network. Zigbee is used in residential and commercial building automation environments, industrial heating and cooling systems, and in the medical device sector. Zigbee is a local area network (LAN) protocol, whereas Bluetooth Low Energy (BLE) is more focused around connectivity of mobile devices in close proximity to a central host device. The Zigbee Cluster Library (ZCL) defines a set of functions and profiles that allow device manufacturers to meaningfully communicate with each other via the protocol. For example, there are Zigbee clusters that define standardized instructions for sensing, lighting and HVAC devices. Zigbee supports both star, tree and mesh network structures and requires a coordinator device to manage the connectivity.
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 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'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.
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.
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 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.
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'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.
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.
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.
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.
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.
Building System Integrators benefit from a simplified environment for collecting, processing and integrating data from multiple different devices at the edge.
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
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.
Connect to MQTT devices at the edge and easily read and write data using IOTech's enhanced MQTT device connector. MQTT (Message Queuing Telemetry Transport) is an open ISO standard for lightweight, platform independent, publish-subscribe communication between devices. MQTT has become perhaps the most dominant protocol for application level data delivery in the Internet of Things (IoT) with client libraries available in most programming languages.
Easily control and read data from EtherNet/IP devices using both implicit and explicit messaging formats with IOTech's industrial-grade EtherNet/IP device connector. EtherNet/IP (EIP) defines an application layer protocol that efficiently and reliably instructs how devices should operate in industrial automation environments. EIP is one of the world's leading industrial protocols and is widely used in a range of industries including manufacturing and process control.
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.
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.
Connect to a GPS device and easily read and ingest its location-based information with IOTech's highly reliable GPS device connector. GPS (Global Positioning System) is a satellite-based navigation platform operated by the United States government. It provides location, velocity and time synchronization data for air, sea and land travel. GPS does not require the user to transmit any data and operates independently of any cell or network coverage.
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.
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.
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.
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.
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
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
Modbus is a widely used open communications protocol that delivers data between control systems and devices. Modbus has a long history and is still one of the most prevalent protocols used in OT systems - particularly in Industrial Automation and Building Management. Easily read and write to data Modbus devices over both TCP and serial networks with IOTech's high performance Modbus device connector
BACnet (Building Automation and Control Network) is an open communications protocol used for the standard communication between control systems and edge devices in the Building Automation Industry. Easily connect to and control BACnet devices over both IP and serial networks with IOTech's high performance BACnet device connector
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 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.
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.
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.
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.
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.
Easily communicate and integrate with CANopen devices and controllers using IOTech's advanced and high performance CANopen device connector. CANopen builds on top of the Controller Area Network (CAN) communication system to describe a more convenient programming abstraction for the user than regular CAN bus. CANopen defines higher-layer protocols and profile specifications and so greatly simplifies the task of developing and integrating a CAN-based system. In terms of the Open Systems Interconnection (OSI) model, the CANopen protocol covers everything from the network layer to the application layer, with CAN providing the data-link and physical layers of the stack.
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.
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.
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.
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.
ONVIF (Open Network Video Interface Forum) is a global and open industry organization that was created to facilitate the development and use of an open standard for physical IP-based security equipment. The goal of ONVIF is to enable standardized communication between camera devices and create vendor-independent interoperability between network video products. ONVIF now has hundreds of member companies with thousands of ONVIF-compliant devices on the market.
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 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.
Understand why an Open Edge Platform is critical in enabling data from different sources to flow to the key business-insight providing applications in an Industrial IoT system. Why data interoperability between things, applications and the cloud is fundamental to any Industrial IoT system. Why edge AI and analytics applications need to access data from potentially multiple sources in real-time and often using different OT protocols. How to ingest, normalize, filter and clean data in a standard way to provide those applications with the reliable data they need. How to manage complex connectivity requirements and remain 'open' in diverse Industrial IoT environments
Learn about why the edge offers the greatest opportunity to address the complexity inherent in Industrial IoT designs. Discover why an IoT platform deployed at the Edge and based on open architecture principles is the most critical integration component in any IIoT system. Learn about the key capabilities that are needed at the platform level to support an end-to-end IIoT deployment. Discover why IOTech and other IoT industry leaders are working closely with industry-wide initiatives such as the Linux Foundations' EdgeX Foundry consortium to develop open approaches to edge computing. Learn about how IOTech's Open IoT Edge Platform solutions are being used to successfully enable end-to-end IIoT deployments in support of complex multi-vendor use-cases across different vertical markets such as manufacturing, energy management and retail
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!
Prosys OPC and IOTech have agreed that IOTech's Edge Xpert offering will include an optional Prosys OPC UA Java SDK for developing the device services with OPC UA communications. Prosys OPC UA Java SDK takes care of all the OPC UA communication details and is certified by the OPC Foundation to be OPC UA compliant. IOTech's first product offering, Edge Xpert, is a commercially-supported and packaged implementation of the open-source EdgeX Foundry core platform. Each Edge Xpert software subscription includes a commercial support and maintenance Service Level Agreement (SLA) to ensure service-level commitments for customers that value premium product quality and support.
IOTech is pleased to announce the opening of its new branch office in Taipei, helping IOTech to service its global and rapidly growing customer base. Seven employees have transitioned from Contractor to Permanent Employee status effective 1st April. IOTech Sytems Limited, Taipei will form the centre of its APAC operations and comprises a development and sales team responsible for the APAC region.
IOTech, the IoT Edge Platform company, announced today that the company has secured $2.5 million in seed funding to accelerate the development of its products and services, enhance support for its partner ecosystem and expand its local presence. Dell Technologies Capital is an investor and Innovate UK is providing R&D funding. Founded by industry-acknowledged leaders in the Industrial IoT (IIoT) domain, IOTech's products address a full spectrum of secure hard and soft real-time edge computing needs across multiple vertical IIoT market domains.
OTech is proud to announce and welcome Steve Osselton as the Company's Chief Technology Officer (CTO). Steve will be responsible for leadership of IOTech's product development team and will be the lead architect for IOTech's IoT Edge Platform developments. Steve joins the IOTech team from ADLINK Corporation (formerly PrismTech) where he was lead Architect on many mission-critical middleware software product developments for Industrial, communications and military applications.
IOTech is moving its Newcastle office to The Catalyst in Science Central, Newcastle upon Tyne city centre, a short distance from its current premises at the Core, from Monday 3rd February 2020. The move into more spacious offices is eagerly anticipated by our Newcastle-based employees and provides them with a high-quality state-of-the-art working environment whilst also allowing space for future growth. Due to continued growth, IOTech has also recently expanded its current office space in Taipei and is in the process of securing a move to larger office facilities for its Edinburgh-based staff.
The Catalyst 3 Science Square
Newcastle upon Tyne United Kingdom NE4 5TG
Tel: +44 (0)191 814 2220
edge computing, internet of things, IoT, Industrial IoT