Digitising is the process of making data machine readable. Digitalisation is the transformation of business models to harness opportunities presented by new technology.
We do both. Our customers use AI, our KAI cloud platform and the relationships between their networked assets to digitalise processes that rely on visual data.
Time saving when using AI for Asset Condition Assessment.
Cost Reduction using AI for Ecological Surveys.
Time Saving when using AI for Quality Assurance.
Clients & Partners
KAI Cloud Platform
Network owners are collecting an exponentially increasing amount of visual data. Experts review footage without computer assistance and are becoming overwhelmed. Contractors or staff share data using hard drives or fractured systems making it hard to securely and easily get it from someone who has it to someone who needs it. This all adds risk and expense whilst creating a multiverse of missed opportunities.
We created the KAI platform to underpin visual assessment processes and eliminate these points of friction. Its core components help transfer, process and organise large amounts of visual data. Bespoke deep learning and computer vision based models answer specific questions of relevance to an industry or customer. Advanced search and visualisation help you see and learn what is where, its state and areas of concern.
KAI digitalises the visual assessment processes. Generating more value from expensively collected data and helping manage your assets more cost effectively.
Our KAI platform uses deep learning to extract objects of interest and data engineering to ensure this visual data is easily available to anyone who needs it.
Roads & Highways
We have developed a vehicle mounted solution for collecting high resolution imagery of roadside vegetation. AI is then used for detecting the presence of invasive plant species or Ash trees.
This provides a rapid, high-quality vegetation survey methodology, resulting in cost and time savings for our customers.
The KAI platform extracts key components from footage presenting them for review by a condition assessment engineer. Our models aim to extract over 50% of defects automatically.
Using KAI reduces assessment time by 66% and minimises unforeseen asset failure.
Digitising networks requires an inventory of what’s installed and where. This could be done manually by reviewing historic images and video. With thousands of structures and millions of images this is an exhausting manual process but an ideal opportunity for digitalisation and a practical use case for AI.
We are working with customers to complete detailed asset inventories using millions of images.
Knowing the types of habitat and plants alongside rail tracks is crucial for Network Rail.
We have deployed camera systems to the front of trains for collecting images. The KAI platform analyses data gathered and presents an overview to NR staff.
Electricity TransmissionCorrosion Detection
Bespoke edge detection algorithms are used to identify regions of the image likely to contain steel and thereby separate background from tower.
Eliminated 25% of towers from the manual review process by marking them as clean.
At the start of 2020 we didn’t know if it would be
At Keen AI we create systems which augment process experts, for example
As the majority of us look to 2021 and hope for a better year, it’s easy to look back at 2020 and only remember what went wrong.
Amjad Karim reviews some of the important lessons we learned whilst implementing the KAI platform at the UK’s National Grid.
We digitise networks of assets, helping you unlock value from visual data.
DScience Ltd © 2021 | The Moseley Exchange, 149-153 Alcester Road, Birmingham. B13 8JP