Europe Union

Computer Vision Community MeetUp

Business Breakfast in Berlin

Thank You For Being With Us!

The Computer Vision Community MeetUp held on the 22nd of June in the heart of Berlin, brought together some of the brightest minds and innovators developing projects with computer vision. The meeting provided a platform for sharing ideas, discussing challenges, and fostering collaborations.

The day began with an inspiring power speech on “Computer Vision for Autonomous Systems: challenges that we are facing & ethical considerations in Computer Vision including privacy concerns, bias, and fairness issues” by Azarm Nowzad from Continental, a discussion panel on “Machine learning for computer vision and where are the limits?” with Marek Tatara, PhD – Chief Scientific Officer at DAC.digital and Karol Duzinkiewicz – Senior Computer Vision Researcher at DAC.digital, and a fireside chat on “Computer vision & Cybersecurity – opportunities and threats for business” with Łukasz Brandt – Senior Security Analyst at DAC.digital. The event also provided many networking opportunities, enabling participants to connect with like-minded professionals, entrepreneurs, investors, and technical experts. DAC.digital experts were available to participants at the networking tables dedicated to robotics & space, medtech, agritech, and cybersecurity.

We are grateful for your active participation – your presence and engagement greatly contributed to the event’s success. It was a valuable experience for the DAC.digital team – we are already looking forward to the next meeting!

Throwback Our MeetUp

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Experts

Marek Tatara, PhD  

Chief Scientific Officer and Tech Lead of the Deeptech team at DAC.digital, Assistant Professor at Gdańsk University of Technology, AI/ML Expert at M5 Technology, Member of the Polish Society For Measurement, Automatic Control And Robotics.

Areas of expertise: robotics, artificial inteligence, machine learning, computer vision

Karol Duzinkiewicz

Senior Computer Vision Researcher at DAC.digital. Seasoned engineer with many years of experience in international tech companies. Currently holds a team leader role in gaze estimation projects developed in the company.

Areas of expertise: computer vision, machine learning, robotics

Portrait of Karol Duzinkiewicz, Senior Computer Vision Researcher at DAC.digital

Justyna Pelc

Head of Community at DAC.digital. Leader of the award-wininng Innspace group. Engineer with a passion for space industry, member of the Board of the Polish Astrobiology Society, Director of Strategy at Space Robotics Society. 

Areas of expertise: space industry, robotics, startups

Lukasz Brandt

Senior Security Analyst at DAC.digital. His main professional interests include security of IoT systems, Systems of Systems (SoS), AI/ML security issues, cyber immunity in the context of cyber-physical systems (CPS), digital transformation and Industry 4.0/5.0. 

Area of expertise: cybersecurity

Jan Glinko

Machine Learning Researcher at DAC.digital. He graduated from the Faculty of Electronics, Telecommunications, and Informatics at the Gdansk University of Technology. He is interested in applying synthetic datasets for learning deep neural networks and in learning algorithms to reduce the amount of data required for effective network training.

Portrait of Jan Glinko, Machine Learning Researcher at DAC.digital

Cezary Polak

Machine Learning Researcher at DAC.digital. He graduated from the Faculty of Electronics, Telecommunications, and Informatics at the Gdansk University of Technology. He is interested in using deep learning in biomedical engineering and also in generating synthetic data as photos and texts.

Portrait of Cezary Polak, Machine Learning Researcher at DAC.digital

Artur Skrzynecki

Machine Learning Researcher at DAC.digital. He graduated from the Faculty of Electronics, Telecommunications, and Informatics at the Gdansk University of Technology. His areas of interest mainly focus on computer vision tasks, including biomedical data processing and deep neural networks training and evaluation. Apart from that, he also develops towards web development topics.

Portrait of Artur Skrzynecki, Machine Learning Researcher at DAC.digital

Marcin Połulich

General Manager at DAC.DeepTech. Servant Leader with over 16 years of professional experience across different areas of Software Development Industry. In his work he concentrates on assisting ICT leaders in growing as professionals.

 

Daniel Bąk

Head of Business Development at DAC.DeepTech. Daniel has over 20 years of sales experience in different industries and roles, almost half this time as a consultant. He gained experience in the software industry, working for almost 15 years for various companies. He is passionate about new technologies and their usage in life, in building business processes, and in cross-cultural work.

Monika Dawidowicz

Senior Communications Manager at DAC.digital. Tech enthusiast connected to the startup, investment and innovation ecosystem for years, carefully observing trends and bringing people together to use technology for a positive impact to the world.

Josua Ziegler

CEO at punktum. Before founding punktum he worked as a business consultant for CORE SE and Königsweg and led digital transformation projects in complex environments. He gained experience in the building of products for highly regulated markets in Europe and the Middle east across different industries. 

Area of expertise: medtech, healthtech

What Was On The Agenda?

Power speech by Azarm Nowzad

Computer Vision for Autonomous Systems: challenges that we are facing & ethical considerations in Computer Vision including privacy concerns, bias and fairness issues.

Discussion panel: Marek Tatara and Karol Duzinkiewicz

Machine learning for computer vision and where are the limits?

The discussion concerns the aspects of dynamical progress in the field of Machine Learning as applied to various computer vision tasks. It has proven to be very efficient and accurate, sometimes reaching levels of accuracy beyond human capabilities. Nevertheless, classical computer vision algorithms and analytical processing are still heavily relied on and cannot be easily removed from the vision processing pipelines. Therefore, we will discuss the boundaries of applicability of Machine Learning, future trends, and the importance of classical methods.

Fireside chat: Łukasz Brandt and Monika Dawidowicz

Computer vision & Cybersecurity – opportunities and threats for business

Computer vision has the potential to enhance cybersecurity in a number of ways. What opportunities and risks does it bring to the business?

Networking table: Computer Vision & Robotics and Space
  • How is computer vision aiding robotics in the industry/on the factory floor?
  • What are the most challenging tasks in computer vision when it comes to robotics?
  • What was the biggest achievent when it comes to computer vision in robotics?
Networking table: Computer Vision & Cybersecurity
  • Will Digital Transformation increase the importance of Computer Vision in the area of integrating physical safety and cyber security?
  • Which vertical domains seems to be most promising for such integration?
  • What are the biggest risks of integrating computer vision into the cybersecurity loop?
Networking table: Computer Vision & MedTech
  • Will decision-making systems ever replace doctors’ opinions and become fully autonomous in establishing the diagnosis based on radiologic images?
  • Is it moral to let a machine decide about life of a patient? (After performing a classification task on a CTA scan)
  • How is the radiological data required for NN training stored? What about patients’ legal rights?
Networking table: Computer Vision & AgriTech
  • Is our agricultural industry and farmers’ attitude ready for the incoming changes?
  • Is it possible to detect opioid and weed farms using aerial images?
  • How are we going to overcome ecological issues that come along with constant drone fly-bys? Are birds’ nesting places going to be harmed?