Real-Time Industrial Inspection

Topics Real-time monitoring in Additive Manufacturing Real-time monitoring in Additive Manufacturing In additive manufacturing, items are 3D printed layer-by-layer using materials like plastics, polymers, and metals. Unfortunately, instabilities in the printing process can produce defects like cracks, warping, and pores/voids within the printed item. Our goal at IPI is to develop computer vision systems that identify the creation of these defects in real time, then provide the 3D printer with sufficient information to intervene in a way that corrects, or avoids, the defect. Since these defects can occur over a very short amount of time (< 1 ms), our monitoring systems need to operate at very high speeds while also providing accurate results. Melt pool monitoring: GPU-based real-time detection of pore defects using dynamic features and machine learning Using high speed cameras and photodiodes (sampling rates > 20 kHz), we are exploring AI models that can highlight defect creation.

Intelligent super-fast camera prevents errors in 3D printing

IPI researcher Brian Booth discusses the icon Vision-in-the-Loop project results - KanaalZ video, press release, and news articles.

Join IPI on 19 and 20 May 2022 at two IOF-platform events within the UGent Industrial Liaison Network

iMatch (Image-based Material Characterization platform) and AM Platform (Additive Manufacturing platform)

IPI joins Additive Manufacturing R&D Day on 21 June 2022

The must-attend networking event if you need, offer, or are interested in R&D on Additive Manufacturing

IPI Additive Manufacturing Research Highlighted in Recent Youtube Video

Demonstration of a real-time monitoring system for 3D metal printing based on AI and active learning

IPI joins Industry Leaders in AI for Manufacturing Webinars

Brian Booth joined industry leaders earlier this year to speak on the use of AI in additive manufacturing workflows