Algorithms & Machine Learning

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Deployed by 4 companies

Tailor made algorithms and machine learning capabilities in the inspection process

Page last modified

April 11 2024

Because Cursor AM captures thousands of pictures, it creates a very valuable database. Every image is geotagged and stored in order to be used in future trend analysis. In regular inspection procedures, only the point of interests are being logged. Therefore it becomes impossible to back track significant events on a specific asset. Cursor AM enables the asset owners to easily access asset information of a specific area when no point of interest was flagged in previous inspections.

Pros & Limitations

Easy selection of many pictures

Easy implementation of massive data in your inspection process

Algorithms don’t get tired

Trend analyses

Predictive Asset Management

Highly detailed inspections without putting employees in dangerous situations

Inspection method avoids ATEX zones

Robotising inspection

Not ATEX certified

Reliant on external imageing resolution

Specification

Specification Title	Specification Description
Areas of Application	Corrosion detection: metals, alkali-silica reaction \| Cracks: concrete, steel/aluminium, wood, paint/coating \| Leakage: gas, liquids \| Solar panels: defects \| Wood rot
Certifications / licences	In progress of certification ISO9001, ISO14001, ISO27001, VCA.
Compatibility	A variety of Unmanned Aerial Vehicles such as drones \| Remote controlled boats, cars or sonar equipment
Input	Images gathered from Unmanned Vehicles.
Output	Corrosion detection \| Crack detection \| Leakage \| Solar panels \| Wood rot
Storage	Images stored in database. Usefull in root cause analysis.