Democratizing Machine Vision with Embedded AI
in Linköping make smart cameras that let non-experts solve industrial machine vision applications with ease.
In this presentation we will give an insight into the world of industrial machine vision. We will do a live demo of our products, and discuss interesting challenges involved in making an easy-to-use solution, enabled by machine learning running directly on the embedded device.
SICK IVP in Linköping has a long history of machine vision, combining deep technical expertise with a strong focus on usability and customer value.
Do you have questions?
Feel free to contact me
christoffer.kamronn@linkopingsciencepark.se
Program
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12:00 — 12:10
Check-in & Lunch
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12:10 — 12:45
Presentation & Lunch
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12:45 — 12:55
Q&A
Speakers
Viktor Smedby
Strategic Product Manager
is Strategic Product Manager for Machine Vision at SICK. With over a decade of experience in machine vision and computer vision, Viktor oversees the development and lifecycle of a range of 2D integrated vision devices, Edge Learning / AI, and vision software. Prior to joining product management Viktor worked extensively with engineering and development of vision applications, spanning topics such as robot guidance, quality control, and high-performance 3D imaging.
Erik Hedberg
Read more
Erik Hedberg
is one of the key developers in the team behind SICK’s AI edge learning algorithms, with a keen interest in balancing usability and performance. Erik has an academic background in control and estimation, with a licenciate degree in Automatic Control from Linköping University, and coordinates SICK’s educational collaboration with the university.
