AUToSCAN-AI LLP

AUToSCAN-AI has developed a platform, NDicateTM, that integrates analysis algorithms for the commonly used NDI methods such as Visual Inspection, Ultrasonic PAUT, TOFD, Thermography, Computed Tomography, and Digital Radiography. The Platform is capable of processing input signals in the form of images to automatically detect defects and extract relevant attributes such as position and size. 

The platform developed utilizes many traditional computer vision concepts and modern machine learning methods, such as Convolutional Neural  Networks. The combination of these technologies allows for reliable pattern recognition tasks such as defect detection and classification. As an outcome, fast and accurate reports of defect size, shape, and intensity are generated. In addition the model can learn to solve new problems by training on datasets previously assessed by experts. This ability to learn by example allows NDicateTM to adapt and automate new applications formerly requiring human effort and specific expertise.