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ACHIEVE YOUR DIGITAL AMBITIONS

We get our clients from idea to value-creating digital products. Our diverse technical skills are our greatest asset and with over 300 experts we can definitely also help you.

EDGE MACHINE LEARNING

BECOME A FRONT-RUNNER WITH EDGE MACHINE LEARNING

EXPLOIT THE POWER OF CUTTING-EDGE TECHNOLOGY

Edge Machine Learning is a game changer. Some even call it revolutionary. In short, the technology allows you to im­ple­ment machine learning on small devices and process all data locally. This is possible without internet connectivity, while pre­ser­ving privacy, low latency, and all at a very low cost. You no longer need to transmit data back and forth between your device and the cloud. This offers a wide range of advantages.

5 ADVANTAGES OF WORKING WITH EDGE MACHINE LEARNING


Process data in real-time

which is not possible if data needs to be processed remotely.

Apply machine learning on low-cost hardware

keeping costs down while wielding the power of machine learning.

Remove dependency towards Cloud computation

by processing data locally.

Improve data privacy

by treating sensitive information locally instead of in the Cloud.

Reduce bandwidth requirements

by only transmitting processed results.

FROM GOOD TO GREAT

Working with Edge Machine Learning isn’t necessarily only about solving problems – it’s also about improving existing processes and products. This is why the tech­nology is aimed at companies who are eager to go from good to great. Perhaps that’s you?

Learn how to advance your product or process with Edge Machine Learning in our webinar.

3 AREAS WHERE EDGE MACHINE LEARNING IS PIVOTAL


When you seek privacy

In some cases, transmitting sensitive infor­mation to a cloud service may not be feasible.

With Edge Machine Learning you are proces­sing data locally, which can be crucial in some use cases, e.g. video surveillance in sensitive environments.

When every millisecond matters

Sometimes a millisecond can mean the diffe­rence between life and death. Just think about autonomous vehicles.

With Edge Machine Learning, devices are able to process data in real-time locally – without sending data back and forth between the edge device and the cloud. The result is faster cal­culations and actions. In addition to autono­mous vehicles, this is also great news to e.g. mobile robotics and medical devices.

When you’re offline

What will you do when the network is down? In the case of an Edge Machine Learning product, you will go on as if nothing happened.

With Edge Machine Learning, devices can be fully functional even without access to the Internet. As a result, you can apply the techno­logy anywhere – even on the edge of the world.

End-to-end projekt for HedeDanmark

Edge computing will become a dominant factor across vir­tu­al­ly all industries and use cases as the edge is empowered with increasingly more sophisticated and specialized compute re­sources and more data storage.

Brian Burke, Research Vice President, Gartner

3 EXAMPLES ON HOW TO USE EDGE MACHINE LEARNING

For years, we have helped ambitious companies exploit the advantages of Edge Machine Learning. It’s been a lot of fun and top top secret. Therefore, we cannot exhibit our work – even though we would love to.

To help you go from idea to execution, we have developed 3 examples on how to use Edge Machine Learning in your business. Hopefully, they will give a better understanding on how to exploit the potential of this cutting-edge technology.

Example #1
Optimize maintenance

This example is all about predictive main­te­nance.

It is hard to tell when pumps for sewage and groundwater should be serviced because they often are situated in hard-to-reach places. However, by applying sensors on the pumps, you can.

The technology could give you infor­ma­tion on e.g. vibrations, temperatures, and power con­sumption, so technicians can schedule their maintenance accor­ding to actual needs. This helps you re­duce costs and increase customer satis­faction.

The technology is well-known and ma­ture. Think of it like an Apple Watch. You get a lot of information which can be used to assist pre­dicting future needs and actions.

Example #2
Extend product life time

Like the example above, this one is about pre­dictive maintenance. However, this time we’re in a production hall. More precisely, in a pro­duc­tion hall specia­li­zed in high-precision CNC milling.

If the milling bit is no longer sharp, it will da­mage precision and ultimately destroy the workpiece or the machine. So how do you replace the bit before it gets worn out?

Edge Machine Learning offers a solution. By applying e.g. an acoustic sensor, Edge Machine Learning will detect when to replace the milling bit. This helps you reduce downtime and main­tenance costs while improving the product quality.

Example #3
Improve customer experience

We have all seen automatic sliding doors being a bit too eager to welcome people (or animals) passing randomly by on the street. All this un­necessary sliding is not only annoying, it is also a waste of heat, energy, and money.

Fortunately, it is possible to improve the auto­matic sliding doors. The key is a sen­sor fusion of an image sensor and the existing infrared sensor, which will ensure that the door opens only for peo­ple who actually want to use the door.

Such a door will give door-sensor sup­pliers an edge on competitors – and it is a great example on how Edge Machine Learning can make a dif­ference in every­day life.

DO YOU FACE THESE CHALLENGES?
THEN EDGE MACHINE LEARNING WILL HELP YOU

  • The cloud network bandwidth is limited
  • Device resources are limited
  • Protecting data in the cloud is an issue
  • Data timing and delay requirements break your solution
  • Internet connection is not always available

POWERED BY MICROCONTROLLERS

The great thing about being on the edge is you no longer have to trans­mit information back and forth to the cloud. This improves the re­spon­siveness and security of your device, and it is only possible thanks to a micro­sco­pic yet signi­ficant chip.

WHO WE ARE

At Mjølner, we are more than 300 experts passionate about making businesses grow through software development and user-friendly design. We create innovative and holistic digital solutions for major international brands – and we can help you too.

LETS GET IN TOUCH

Lasse Skov

Business Development Manager

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