Strategic Focus: Augmenting Industrial Processes With Visual Inspection Technology

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Executive Summary

The rapid advancements in computer vision (CV) technology, driven by improved hardware, deep learning techniques and superior training models, have revolutionized industrial inspections, enhancing quality and safety standards. This report examines the current state of AI-based visual inspection technology, its applications and the trends shaping the industry’s future.

Table of contents

Leveraging computer vision for industrial excellence
Exploring the broad spectrum of visual inspection applications in industrial operations
Automated visual inspections leverage a variety of hardware
Major trends shaping the future of visual inspections

Table of figures

Figure 1. Comparison of traditional and AI-based visual inspections

About the authors

Henry Kirkman

Analyst
Henry is an Analyst in the Verdantix Operational Excellence practice. His current research agenda focuses on connected worker solutions, technologies for industrial asset maintenance, and the industrial applications of AI, including generative AI and computer vision. Prior to joining Verdantix, Henry completed a Masters degree in Civil Engineering at the University of Exeter.

Malavika Tohani

Research Director, Operational Excellence
Malavika leads the Verdantix Operational Excellence practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins and software solutions for industrial risk and asset management. Malavika has over 15 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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