activity
20162026
most citedCAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry

21 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

A Comparative Study of 3D Model Acquisition Methods for Synthetic Data Generation of Agricultural Products

Steven Moonen, Rob Salaets, Kenneth Batstone +2

In the manufacturing industry, computer vision systems based on artificial intelligence (AI) are widely used to reduce costs and increase production. Training these AI models requi…

cs.CV2025

Privacy-Preserving Computer Vision for Industry: Three Case Studies in Human-Centric Manufacturing

Sander De Coninck, Emilio Gamba, Bart Van Doninck +3

The adoption of AI-powered computer vision in industry is often constrained by the need to balance operational utility with worker privacy. Building on our previously proposed priv…

cs.CV2025★ 1 cited

Enabling Privacy-Aware AI-Based Ergonomic Analysis

Sander De Coninck, Emilio Gamba, Bart Van Doninck +3

Musculoskeletal disorders (MSDs) are a leading cause of injury and productivity loss in the manufacturing industry, incurring substantial economic costs. Ergonomic assessments can…

cs.CV2022★ 21 cited

CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry

Steven Moonen, Bram Vanherle, Joris de Hoog +3

The use of computer vision for product and assembly quality control is becoming ubiquitous in the manufacturing industry. Lately, it is apparent that machine learning based solutio…

cs.CV2016★ 6 cited

Embedded Line Scan Image Sensors: The Low Cost Alternative for High Speed Imaging

Stef Van Wolputte, Wim Abbeloos, Stijn Helsen +2

In this paper we propose a low-cost high-speed imaging line scan system. We replace an expensive industrial line scan camera and illumination with a custom-built set-up of cheap of…