December 10, 2015 – via O’Reilly: Shivon Zilis maps Eigen on the Machine Intelligence radar in a fantastic post about the current state of the machine intelligence ecosystem.
This week, Eigen’s Greg Picot, Director of Product Development, and Dell’s Jason Shepherd, Director of IoT Strategy and Partnerships, talk with Mary Allen at InsightaaS.com about the state of innovation on the Industrial Internet of Things.
Research driving the article cites that businesses with advanced IT sophistication and maturity are the cohorts adopting new technology in order to better manage risk within their organizations and process: “it is this segment that appears poised to IoT hype to IT reality” according to InsightaaS.
This growing maturity within certain market segments is where there’s a convergence happening on the Industrial Internet of Things bridging the traditional Operational Technology disciplines with Information Technology solutions. There’s a tipping point of maturing market segments and maturing technology creating a lot of competitive advantage for early adopters.
Read more about these findings and how companies like Eigen Innovations and Dell are partnering to bring innovative solutions to these emerging markets at InsightaaS.com.
We’ve got some exciting news. Today we can announce that Eigen Innovations has been named one of the top six finalists in the Cisco Grand Innovation Challenge, a prestigious competition that recognizes companies creating disruptive technologies that leverage the fast-growing “Internet of Things” (IoT): http://bit.ly/1I6uEkq
In just over 2 weeks, the Eigen team will be in Dubai where we’ll pitch to a panel of judges at the World IoT Forum on December 7. We’re honoured to be the only remaining Canadian company in the competition, and we look forward to meeting our fellow “Super Six” finalists from around the world.
The Challenge began in June with more than 3000 entries from over 100 countries. Through a series of elimination rounds, Cisco reduced the list to a top 15 in early October, and with Eigen having been included among the “Super Six” finalists, we’re now focusing on preparations for the final evaluation.
As the founders of the Grand Innovation Challenge, we’d like to thank Cisco for helping to advance the amazing work that’s being done in the Internet of Things space, and of course, we’re excited to have been chosen to pitch before the judges in Dubai.
A big thank you to our clients and supporters, friends and families. With your support we’re doing some exciting things and we look forward to continuing on our path of innovation and creating leading-edge technology.
Watch this space to find out how it all goes down in Dubai.
A major innovation happening in industrial environments is the application of new technology to old process in order to gain performance and quality improvements, while reducing cost of operations and improving safety. Eigen Innovations has been on the forefront of developing leading edge technologies for the Industrial Internet of Things (IIoT) by leveraging big data analytics and deep learning algorithms to achieve these benefits for companies looking to gain extra competitive advantage.
The process of lead smelting is something that has existed for centuries, ultimately tracing its roots back to ancient times. With each generation, new technology has given greater insight and refinement to what is still considered a “dark art” process. It is with this context that a unique opportunity presented itself to yet again evolve our understanding of this process using the latest combination of technologies provided by Eigen Innovations in partnership with Glencore Xtrata at their lead smelting manufacturing plant in Belledune, NB.
A lead blast furnace is a highly dynamic and volatile environment, with temperatures ranging well in to 1000 degrees Celsius. Yet, this environment requires a high degree of control and optimization to maintain optimal blast furnace temperature, even distribution of raw material, and real-time corrective measures to produce the desired product output. Operators in this environment have to rely on the combination of expert knowledge accumulated over generations combined with observational data, which can be limited due to the harshness of this environment.
Sub-optimal performance in a blast furnace can contribute to:
- uneven distribution of the ‘burden layer’ (the top layer of raw material being reduced)
- hot-spots and flare-ups
- channelling of gas through the burden layer
- build-up of accretion on the furnace shaft
All of these results can reduce the campaign life of a smelting run and the overall quality of the end product.
Eigen Innovation has developed a connected data analytics platform that is optimized for industrial applications. The solution uses Eigen’s Intellexon™ software installed and configured on a small industrial gateway device. The software is programmed to process large amounts of data in real-time in order to provide immediate feedback to operators and other machines in order to optimize a process flow. Connecting one of FLIR’s fix mounted automation cameras to the platform captures up to 60 frames of high resolution digital thermal data per second enabling a rich real-time view of exactly what is happening within this industrial process.
This solution has enabled Glencore to gain new understandings of the movement of the burden layer within the blast furnace while it’s operating, enabling them to develop proactive strategies to managing the operation of the process in real-time and integrate process control using the Eigen connected platform. Glencore is now not only able to see what is happening inside the blast furnace and also able to understand the data in real-time using Eigen’s connected data analytics platform.
This past week, Eigen Innovations was honoured to participate at COM 2015 (http://web.cim.org/com2015/) held in Toronto, Ontario, and co-present the findings of this innovative breakthrough on-stage with Glencore Xstrata.
About Eigen Innovations
Bringing Vision to the IIoT: Eigen is certified to work with a range of FLIR thermal cameras that connect to our Intellexon™ platform for advanced analytics and deep learning algorithms for plant-wide optimizations. Contact Greg Picot (firstname.lastname@example.org) or Justin McKillop (email@example.com) for more information.
Contact Scott Everett, CTO (firstname.lastname@example.org) for more information about the findings of Eigen’s development of lead smelting process optimization.
At Eigen Innovations, we are focused on providing easy to use solutions, that are highly intelligent, and have the smallest footprint within industrial operations. We have been hard at work building new capabilities in to our vision analytics platform and we’re excited to make these new features available in our latest software update.
Our main focus in this release is to put more power in to the hands of operators by introducing more capability in to the Eigen Smart Module (ESM) Gateway. The ESM Gateway runs in plant operations by gathering input from thermal camera stream data and PLC triggers enabling the automation of alarms and actions by training the ESM Gateway to respond to the data it processes in real-time. The Gateway also connects to the Intellexon™ platform for advanced analytics and deep learning algorithms for plant-wide optimizations.
This latest release enhances the Gateway with the following new capabilities:
Dual Thermal Camera support on a single ESM Gateway
The Eigen software has been updated to process two thermal streams on a single ESM Gateway which doubles the thermal data gathering and processing possible with the solution.
- More cost effective solution to focus capital and operations on data processing and automation instead of hardware deployment
- Reduces the footprint requirement within industrial operations, reducing the initial setup and operational maintenance and support
- Allows monitoring of a larger field of view or completely independent fields of view and correlate data processing and automation from single ESM Gateway
Optical Camera support on the ESM Gateway
Eigen focuses on building highly intelligent solutions for plant optimization and automation. However, we know that the smartest resource on the plant floor is the Operator and providing solutions that always keep them in control of the operation is something we hold as a core value. By including support for “optical” viewing while processing thermal data, it gives the ability to “see” what Eigen is processing enabling greater control.
- Combine with a thermal solution for dual optical viewing and IR processing
- Hard to “see” areas now easily accessible with existing thermal installations
- Visually confirm inspection and alarm events as they occur
We are continually listening to our customers looking for ways to improve the experience of using the Eigen solution. This release includes a number of improvements and optimizations to the Eigen software, including:
- Global default setting for temperature readings depending on regional preferences
- Support for readings in Fahrenheit, along with Celsius and Kelvin
- Auto scaling of the thermal range in the viewer: for dynamic fields of view, let the Eigen software adjust the thermal scale in order to provide clearer monitoring
- Improved user notifications for storage usage alerts
- Optimizations to compression for video uploads
About Eigen Innovations
Eigen is certified to work with a range of FLIR thermal cameras that connect to our Intellexon™ platform for advanced analytics and deep learning algorithms for plant-wide optimizations. Contact Greg Picot (email@example.com) or Justin McKillop (firstname.lastname@example.org) for more information about Eigen Innovations and to learn more about our latest release.