How do we change the definition of simple?

By February 2, 2015 No Comments

Imagine a future where you pile some rocks in a field, leave a few robots behind, and a few months later, return to find a stone home that is, in reality, exactly as your favourite designer imagined it. Then imagine all of this is powered by natural resources. This is our perception of the new simple. Simple shouldn’t mean less intelligent; it should mean more intelligent. Simple should also mean exactly who you are and what you do.

For many, the Internet of Things is a complex concept, but for us, it is the next logical next step in business and technology. And it’s a profound effecter of change. It is the future. Everything is an interconnected sensor, from your smart phone and your computer, to your refrigerator and even your car. The challenge today is to get enormous amounts of complex data offered by these sensors and to transfer them into usable, simpler pockets of knowledge. It’s a way of life and a “world of huge possibilities”.

We dream big globally but we begin and finish locally. For us, new technology unlocks fresh creative expressions, an art that seemingly isn’t art. Our work starts with a multiplicity of complex links. With the help of an integrated vision system, a simple application, and an intuitive platform, we give eyes and brains to machines, effectively giving vision to the Internet of Things.

Eyesight is one of the more difficult senses to replicate, especially in manufacturing. Factories use really low-grade sensors to try to measure exceptionally complicated products and parts. We can now see what is going on in a factory, including temperature distributions, via thermal cameras. But, how do we use that data effectively now that we have technology to sense what is around us?

While we were consulting, we observed the most valuable data just spilling onto the plant floor, and we knew it had to start going somewhere and be put to use. We wanted to capture that data because it has the raw potential to make that end product better and to improve the manufacturing process. With Intellexon™, Eigen Innovations’ intuitive platform, manufacturers can now do just that.

Our driving force at Eigen Innovations is saving resources. The goal of manufacturing is bigger, better, faster, and stronger. Our core value is conserving on raw material waste. Thinking of the future of food processing, if we have to feed 9 billion people in the world, we need to consume 40% less or become 40% more efficient than we are today to feed them. Eigen is helping food processors get closer to that goal, not only by saving money but also by reducing waste on a precious resource, food. The system has also been successfully implemented in the mining and automotive industries where saving precious resources helped to build better products at a lower price. That trend is becoming more accentuated.

With Eigen’s full-stack solution – acquire, aggregate, analyze, and action – the process becomes simpler. The data is collected, processed, evaluated, and studied. The system uses the data that once spilled onto the shop floor to solve problems in real time using the expertise that the operator has acquired just by doing their job. It is a platform that configures itself and in which the operator becomes the consultant, resulting in reduced waste. It’s an automated approach in which both machine and human are learning by getting constructive feedback. Through innumerable replications, the data is collected and processed into meaning.

The Internet of things could mean a redefinition of what it means to be human. Technology becomes creation, which makes it artistic, and innovation connects dots.

What Eigen is trying to do is simply to replicate what humans do naturally. Our own Scott Everett plans to use this innovative sensor technology to efficiently build a sawmill so that, in turn, he can build a barn for his upcoming wedding, this October, to his fiancĂ©e Danielle. How do we take technology and mesh it with the simple idea that we want to build a barn? If we can get people to engage on that front, then education isn’t education anymore. It’s incredible to hear how excited Scott gets when he talks about data building the barn. Data analysis will help him construct an effective product, reducing waste and saving time, money, and labour. These simple ideas – the ability to build a barn for one’s own wedding, a very complex task – drive Scott’s innovations. Eigen Innovations is capturing the imagination, bringing the old into the new.

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