We have developed an automated welding defect detection system. This software application analyzes radiation-sourced images and compares pipe weld images against an optimized reference database of ideal welds. It detects and classifies deficiencies in real time with advanced Machine Learning (ML) algorithms. The method uses the Double-Wall Double-Image (DWDI) exposure technique to ensure accurate fault detection and classification in radiographic images of welded joints.
Luminous is a software application offered on an annual subscription basis. The method begins with preliminary radiographic images, which are processed through the software to detect anomalies and flaws in real time. As a computer-aided solution for automatic fault detection using radiation-sourced images, Luminous enhances the accuracy of inspections and supports weld inspectors in preparing detailed technical reports.
This solution provides non-destructive testing of pipeline welds, interpreting and displaying defects with the support of advanced computer technology. By streamlining traditional inspection steps, it reduces costs and saves time for companies. Leveraging Big Data, the system delivers precise outcomes that help users identify hazardous defects before they become critical.
Idea and Business Plan
Cooperation with Spark Centre
Company Foundation
Web Application Development Planning
Patent Registration
Web Application Launch
Next Phase
Our mission is to advance the field of weld inspection by leveraging AI and web-based technologies. We aim to reduce professional inspection risks, increase the speed, accuracy, and quality of inspections, and minimize disruptions in project implementation
Our goal is to become the leading choice in industrial weld inspection, engineering technology, technical services, and non-destructive testing across North America and globally.
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