Eigen Innovations provides software solutions for the Industrial Internet. We have a patented, multi-dimensional, non-linear software algorithm that leverages ‛‛big data’’ information from industrial equipment; then, based on the algorithm’s optimization capability, provides control input into the key devices that operate the manufacturing process. The end result is a more efficient manufacturing operation, marked by improved productivity, increased quality, and lower costs. We positioned our company to be able to leverage the significant research and development capabilities of the University of New Brunswick’s Faculty of Engineering to help us build more innovative features into our patented IP. Eigen Innovations is on the forefront of software solutions for the Industrial Internet and we intend to remain there through the development of strategic customer relationships with global companies.
The world we live in is far from linear and far from simple. MIMO (Multiple-Input-Multiple-Output) systems are processes that have numerous components that can interact in complex ways. Traditional engineering approaches focus on linearization and decoupling of these complexities. Our approach actually takes advantage of the complexities by integrating advanced sensor technology with state-of-the-art data analytics and proprietary control algorithms to achieve new levels of process performance.
It’s no secret that the rate of data generated and stored has exploded in the last few years. The question to ask is, is productivity following suit? Extracting useful information from process data is not a trivial task; it requires complex data analysis techniques.
The ability to control a process is highly dependent on having a detailed understanding of the system behaviour. Advances in sensor technology, such as high speed cameras and thermal imaging, are providing new levels of information for process modelling in cost effective ways. We now have access to continuous and distributed data instead of single point measurement.