×

Request Demo





Cancel
REQUEST DEMO
What will the asset-finance landscape look like in 20 years from now?

"AI & machine learning: a core, transformative way by which we're rethinking how we're doing everything..."

Observing and understanding the world around comes natural to us human beings. We are able to observe and process information at an incredible rate. However, humans are prone to error and are resource extensive. Recent advances in the field of computer vision and deep learning are the driving factor for prediction models that can sometimes even outperform their human counterpart!

At Intrador, we embrace these innovations and try to think ahead.

Improve your business and logistic processes

Artificial Intelligence & Intrador

We develop robust deep learning algorithms that help extract valuable insights for our customers out of simple pictures. Our algorithms assist decision making units in their business & logistic processes. By delegating specific tasks to state-of-the-art algorithms, we decrease the required human involvement in your business-process lifecycle.

Our AI models are fine-tuned and optimised for their respective use-case. We closely follow innovative publications and open-source projects in the computer vision field and incorporate the here-from derived insights into our solutions.

Disrupting
the asset-finance
landscape

Object Detection and Classification

Is it a bird? Is it an airplane? No, it's a Caterpillar 330F.

We aspire to become the leading data broker in the asset-finance industry by 2022 and the development of object detection and classification technologies enables us to, not only solve (client’s) computer-vision use-cases, but also accelerate our own software products.

From a single picture, we can derive a great deal of information about an asset: its sector, group, make and type. But also, more complex information that usually requires a human domain-expert, such as: “where on the Crawler Excavator is the sprocket” and subsequently: “what is the condition of the sprocket?”

Recapture Anomaly Detection

A fraudster's greatest liability is the certainty that the fraud is too clever to be detected

This is an example of one of our custom-developed AI models that provides warnings to decision-makers when potential fraud is detected during the asset inspections process in our mobile app.

An inspection of an asset should always be done on-location, having the asset physically present. If the asset is actually not on the location where it is supposed to be, potential fraud may be ongoing (e.g. the asset was stolen, double rented etc.)

Some inspectors were seen to not take pictures of the actual object on-location, but rather take a picture of an older picture of the asset via their computer monitors. This AI model detects whether an image was taken from a screen and effectively counteracts this type of fraud.

recapture_graphic_intrador_website2.jpg

Damage Recognition

Intrador is experimenting with localizing and classifying damages based on pictures of the asset’s interior and exterior. Currently, we are developing use-cases for crawler excavators and tractors. Our models are able to identify cosmetic damages such as rust, dents and scratches.

MicrosoftTeams-image-(3).png
Big Data

Quality enriched data is the oil of the 21st century

With every minute, our databases grow larger. We actively collect real-time data of the (used) equipment market. Subsequently we can correlate this data which, allows us to generate accurate market insights for our customers.

Wondering if you are paying/getting fair value for your remarketed machines? Our price-predictions models can assist.

Optical Character Recognition

Extracting text from images

We use Optical Character Recognition (OCR) technology to extract information from documents and turn it into knowledge for your business processes.

The visual inspections that are done through our mobile app usually involve assets that have a unique identifying serial-number. In light of quality ensurance and fraud prevention, its essential for our customers that the claimed asset in the inspection actually matches the asset that is to be inspected. Our software extracts serial-numbers from inspection-pictures and can provide alerts when issues or fraud arises.

Besides serial-number recognition, we use OCR technoloy to automatically extract information out of pictures taken from documents. With our Inspection App, an inspector saves time by just taking a picture of a document after which text is extracted and automaticly filled to its corresponding text field.