Background & Expertise
As Chief Operating Officer at VA Imaging, Max Reijngoudt drives operational excellence and sustainable growth across the organization. With a background in Business Management, he brings a strategic mindset and analytical approach to every aspect of operations, ensuring that efficiency, scalability, and innovation remain at the core of VA Imaging's success.
Having joined the company as its very first intern, Max's journey reflects both his commitment and leadership. What began as a marketing project quickly expanded into broader responsibilities. His initiative and results-oriented attitude led to his appointment as VA Imaging's first full-time employee, followed by successive promotions to Inside Sales Engineer, Manager of Operations, and ultimately Chief Operating Officer.
Throughout his tenure, Max has been instrumental in shaping VA Imaging's operational infrastructure, implementing automation, and leading cross-functional teams to deliver measurable growth. His leadership has helped transform the company from a promising startup into a key player in the machine vision industry.
Guided by passion for process optimization and continuous improvement, Max ensures that VA Imaging remains agile, customer-focused, and future-ready.
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Education
B.Sc. in Business Management, Fontys University of Applied Sciences
Max's Top Picks
Seed Coating Inspection Vision System
It’s important to implement a high-quality vision system when inspecting small details on seed coatings, which is critical in detecting harmful substances or materials on the surface of the seed. We understand that it can be difficult to determine the correct machine vision set-up and software needed to promote the best standard to achieve seed coating and more. Our machine vision products and pricing are available and easily accessible to provide direct access to information about this seed coating inspection vision system.
How to use OpenCV to automate component inspection
In production processes, it is very important to ensure quality. In many cases, this is still done with the human eye, which can cause problems afterwards. We see more and more companies making the switch to machine vision in quality control and other production processes. In this article, we explain an application where machine vision is used in combination with OpenCV software to inspect semi-finished products. Of course, analysis of products can also be done with other software programs, but in this particular case we will elaborate on the possibilities with OpenCV.
Written by Max
Analysis and Defect Detection of Copper Parts Using Machine Vision
Machine Vision Illumination in Foundry Production
