Asset Inventory Correction

What an asset owner’s internal systems record as installed and what is actually out there don’t always agree. Operators regularly and frequently gather images of assets during routine maintenance and inspection activity. We use AI to correct asset inventory from the latest images.
Machine Learning and AI used for object detection aiding condition assessment

Why Use Keen AI for Asset Inventory Correction?

Increased network safety and reliability

Pinpoint the location of old or problematic components across your network

Reduce procurement costs

Ensure the correct data is supplied to contractors reducing unforeseen costs increases

Thousands of assets and millions of images

Our systems are able to identify components attached to thousands of assets and millions of images

Having a reliable asset inventory, namely knowing what component is installed where, is essential to cost effectively and safely run a network. Over time components are replaced at specific locations leading to a drift in what’s actually at a location and what a company’s asset management system thinks is there. This increases network risk and unexpected maintenance costs.

Operators regularly and frequently gather images of assets during routine maintenance and inspection activity. These images could be manually inspected to determine what is installed where. With millions of images this isn’t feasible. We use AI to generate a high resolution asset inventory from the latest images.

Asset Inventory Correction uses object detection and classification to complete an asset inventory for our customers. We are able to process millions images of thousands of assets to determine what’s installed. Something not feasible manually but an ideal use case for AI.

97%

Typical model accuracy

Talk to us about Asset Inventory Correction

We use machine learning and AI to help you make exceptional decisions with your visual data. Get in touch and discover more.