Powered by Google’s Imagery Insights Keen AI has developed Haystack™, a scaleable, automated system able to map utility infrastructure and connections using imagery, machine vision, and geospatial intelligence. Haystack™ can rapidly generate accurate asset inventories without manual fieldwork. For this
Pit slope failures at open pit mines are dangerous, regularly causing multiple fatalities and mine closures across the world Incidents of slope failures at open pit mines (West Australia) [1] 0 Soil cracks running parallel to the pit edge are
Problem Description Distribution Network Operators (DNO) manage thousands of buildings across the UK. Each building houses critical equipment essential for reliable energy transmission and distribution in the region. Poorly maintained roofs can lead to water leaks, clogged gutters, pooling water,
Executive Summary We partnered with a British Distribution Network Operator (DNO) to develop a computer vision pipeline that identified over 4,000 high-risk poles on a section of their distribution network. In this trial project, we demonstrated an accuracy of up
Keen AI is using deep learning and image processing to detect corroded steelwork on National Grid towers.
It’s easy to think that keeping a clean and up-to-date inventory of your assets is simple, but more often than not you’ll find that most inventories are full of incomplete or downright incorrect entries. Detecting assets and components in places
18k Videos over 10 Years weren’t Assigned to an Asset Our customer has been collecting visual data using drones and helicopters for over a decade. Unfortunately, much of it isn’t mapped to the asset it’s for; the only way of
Knowing what assets are installed where is important for an asset manager. Single towers can be made up of many different types of components. Routes made up of hundreds or thousands of towers with many of them having a different
Amjad Karim reviews some of the important lessons we learned whilst implementing the KAI platform at the UK’s National Grid.
Keen AI, the UK Centre for Ecology and Hydrology (CEH) and Time-Lapse Systems are using their expertise in machine vision, environmental research and image capture to help identify invasive plant species in the UK.
