In order to address deep learning and the possibilities this technology brings, EIVA established a dedicated software development team earlier this year. The team consists of engineers specialising in machine learning, machine vision and deep learning.
One of the results of the team’s efforts is NaviSuite Deep Learning, which is a new product offering in addition to the other NaviSuite software products for maritime survey and construction operations. It is able to perform two tasks:
- Classification: Identifying what is in a data set.
- Segmentation: Marking where the identified objects are in the data set.
Deep learning technology makes it possible to let software automatically recognise and localise objects in various types of data, typically photos and video. This has the potential to save companies specialising in for example pipeline inspections, habitat mapping or UXO detection countless hours of manual work – just to mention a few possible applications.
Integrating deep learning into the NaviSuite software products
NaviSuite Deep Learning is a black box software product that works in combination with the eventing features in NaviPac, the NaviSuite product for navigation and positioning, and NaviModel, which is dedicated to 3D/4D modelling and visualisation.
It is applicable in three different ways, that is, as:
- A cloud service (hosted at EIVA).
- A rack computer.
- An onboard computer.
Training NaviSuite Deep learning with millions of data samples
NaviSuite Deep Learning is based on a neural network model, which is trained on millions of various data samples from various providers, typically NaviSuite customers owning subsea assets. The resulting neural network consists of a set of parameters performing the actual object classification and segmentation.
Read the article online at: https://www.worldpipelines.com/equipment-and-safety/20102017/eiva-presents-new-deep-learning-software/
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The business line will see industry experts provide a wide range of support from the planning and design stage of projects right through to the operational phase of subsea cables and pipelines.