Traditional methods can’t keep up with the complexity and precision required in today’s metallography. That is, until now,
problem. Welcome to the Future of grain segmentation. Unleash the Power of Speed, Precision, and Adaptability in
Analysis! Our Universal Grain Size algorithm boosts grain size analysis speed by 160x, eliminating the slow, manual methods without sacrificing accuracy. Overcome common
obstacles like compression slip lines, twins, artifacts, and illumination variations with our Universal Grain size algorithm’s robust performance. It
analyze previously unseen alloys, ensuring seamless segmentation in even the most challenging materials. Don’t
to simplify complex image analysis with our AI, making segmentation of intricate patterns, including twinned microstructures, fast and reliable.
“Images from Hell”:
Def.: A term coined by the team to describe highly complex images that traditional methods fail to analyze accurately. Universal Grain Size Algorithm is designed to tackle these with advanced AI algorithms, further fine-tuned as needed to ensure optimal performance.
This image contains twins which have the characteristic of being visually alike grain borders which makes it difficult to both threshold or manually measure through intercept method.
This image contains incomplete grain boundaries, twins and grains of different shade which makes it impossible to threshold and also confusing to manually measure through traditional intercept methods.
Driving Innovation with Expert Knowledge
The Universal Grain Size algorithm represents a leap forward in analysis technology, born from the minds of two exceptional scientists, Hector and Bertha. Their dedication and unique insights have paved the way for a tool that transcends traditional boundaries of analysis, impacting multiple industries.
As the Director of Products & Innovation at Clemex, he has 20 years of experience in different areas of the computer vision industry. In his role, he developed this vision of having a universal grain size algorithm and lead the amazing ML team that created the algorithm. He also worked at fostering partnerships for securing data and helped in validation.
A physicist with a passion for applying her in-depth knowledge to real-world problems, Bertha has been instrumental in advancing The Universal Grain Size algorithm’s capabilities. Her expertise in complex systems and computer vision has been crucial in developing an algorithm that sets new standards for precision and reliability.
With a solid foundation in computational science and a master’s in computational neuroscience, Hector’s academic and professional journey has been characterized by a commitment to innovation. His expertise has been key in enhancing The Universal Grain Size algorithm’s analytical performance, ensuring it meets the complex needs of today’s challenges.
Francis, Bertha and Hector represent the heart of Universal Grain Size algorithm’s development team. Their collaboration highlights the power of combining diverse scientific expertise to create solutions that not only revolutionize material analysis but also have the potential to transform processes across various sectors. Discover the future of analysis with Universal Grain Size algorithm, where science meets practicality, leading to unparalleled solutions.