Computer Vision: Exploring Automation, Analysis & Pipelines

[In-person Event]: 2G+ rule implemented (even boosted people need to be tested).

We are excited to announce that we are co-hosting the seventh Computer Vision in Production event together with Computer Vision in Production Community and Trust in Soda on the AI Campus!

This is going to be a landmark event as it is the very first in person Computer Vision in Production event.

We have four great speakers lined up and we will also have a Computer Vision project demonstration area.

Our Presenters:

• Anthony Kelly - Host, Trust in SODA
• Adrian Loy - Computer Vision Engineer, Merantix Labs
• Jules Talloen - Computer Vision Engineer, ML6
• Ulrich Tillich - Co-Founder, Oculyze
• Alexander Dolokov - Computer Vision Engineer, PreciBake

Speaker Profile's & Bio:

Adrian Loy
Bio:
After a bachelor in Informatics at University of Würzburg and a semester abroad in Thailand, I moved to Potsdam to do my Master in IT Systems Engineering at Hasso-Plattner institute. There I got interested in deep learning for computer vision in my masters thesis. I started as a Machine Intelligence Engineer at Merantix Labs in 2019, where I work on ML and Computer Vision projects for various clients and built up our internal tech stack to do so successfully.

Title: "Chameleon - A framework for highly customizable, cloud-native Computer Vision Pipelines"
Adrian will talk about the internal computer vision tech stack and a library he built that allows to plug in custom project code at certain steps, like data augmentation. I would also give some background on why we develop something like that and a little bit about the devops behind deep learning projects at merantix labs.

Jules Talloen
Bio:
As a full stack ML engineer, Jules has an interest in the entire development process, from state-of-the-art research to data pipelines and web development. He has experience both in the field of natural language processing and computer vision and has delivered projects ranging from text based semantic filtering to smart CCTV surveillance systems. As a member of the Computer Vision chapter, he mainly focuses on video analytics, e.g. tracking and action recognition. He leverages his communication skills to share his technical expertise, both internally and externally.

Title: “Enriching the sports broadcast experience with intelligent video analysis”
Jules will be covering 2 sports use cases for tennis & game analytics.

Ulrich Tillich
Bio:
Dr. Tillich began his career with a Bachelor of Science in Biosystems Technology and Bioinformatics from the University of Applied Sciences Wildau (Germany) as well as a Master of Science from the same institution.

Dr. Tillich then pursued and completed his PhD in Molecular Biology at the Humboldt-Universität zu Berlin with a focus on laboratory automation systems and its role in developing better algae strains for biofuel production. He authored several peer reviewed publications during his PhD work, and co-authored two papers with Dr. Katja Schulze, another co-founder of Oculyze, which centered on using automated image analysis for microscopic images. After this, Dr. Tillich worked as a postdoctoral research scientist within both Humboldt-Universität as well as at the TH Wildau.

Driven by a firm belief in the enormous influence of technological innovation and its ability to simplify people’s lives, Dr. Tillich and Dr. Katja Schulze decided to launch Oculyze in 2015 which led to its incorporation a year later. Oculyze has since won a multitude of awards and recognition for its innovative approach towards simplifying the process of microscopic image analysis, seen clearly in the success of its ground breaking products ‘Better Brewing’ and ‘Fermentation Wine’ which have hundreds of customers in over 40 countries.

Title: "Use of Computer Vision for automating expert, quantitative recognition"

Alexander Dolokov
"More information to be added"