Industrial Computer Vision with AI Training in Copenhagen, Denmark

This course provides a hands-on and application-oriented approach to Computer Vision (CV) with AI techniques in industrial environments. Participants will learn how to design, implement, and optimize AI-driven vision systems for quality inspection, defect detection, process automation, object recognition, and predictive maintenance. Emphasis will be placed on real-world deployment using cameras, edge devices, and AI frameworks.

Foundations of Industrial Computer Vision

• Introduction to Industrial Computer Vision & Industry 4.0

• Basics of image acquisition (cameras, sensors, lighting setups)

• Classical image processing (filters, edge detection, morphology)

• Deep Learning overview for computer vision

AI for Industrial Vision Systems

• Convolutional Neural Networks (CNNs) in industrial applications

• Object detection: YOLO, SSD, Faster R-CNN for real-time inspection

• Image classification for defect detection (cracks, scratches, misalignment)

• Transfer learning & fine-tuning for domain-specific datasets

Advanced Techniques & Edge Deployment

• Vision Transformers (ViTs) & hybrid architectures

• Real-time inference optimization: TensorRT, OpenVINO, ONNX

• Edge AI deployment with NVIDIA Jetson/industrial PCs

• Case studies

Hands-on Exercises

Summary and Conclusion