Julio Zanon Diaz
Co-founder, editor
Automation Engineer with over 25 years of experience. Educator and researcher focused on Controls, Data, Robotics and Vision systems.
About
Who/what is the Machine Vision Academy
Machine Vision Academy is a community-driven initiative created by individuals who want to share practical knowledge and experience in machine vision, computer vision and artificial intelligence.
It is not a commercial organisation or a separate legal entity. It exists through the digital content, repositories and website maintained by its contributors. Those assets are intended to support education, strengthen access to technical knowledge and help public institutions deliver high-quality learning material.
Our Mission
Our mission is to make machine vision knowledge freely accessible, technically rigorous and genuinely useful.
We believe that high-quality learning should be available to everyone who wants to build, teach or understand machine vision systems. We also believe that open knowledge is stronger when it is shared with care, reviewed with discipline and presented in a form that is practical for real engineering use.
“Knowledge grows when it is shared freely and used well.”
Machine Vision Academy exists to support that principle.
History
Machine vision has become a core technology in automation, inspection and digital manufacturing. Across industry, the number of practical applications has grown faster than the number of engineers formally trained to design and support them.
Over many years, the contributors to Machine Vision Academy saw the same challenge repeated: strong demand for machine vision expertise, but too little accessible training material that was both technically sound and aligned with industrial practice.
In 2026, the contributors decided to turn that frustration into action. Machine Vision Academy began as a practical response: a commitment to build open, high-quality learning resources for machine vision engineering. It remains a work in progress, but the goal is clear — to help close the gap between industrial need and educational opportunity, and to make machine vision expertise more accessible to all who want to learn it.
Contributors
Steve Maves
Co-founder, editor
Machine Vision Professional - Traditional & AI based Machine Vision