Computer Vision & Industry

Stockholm AI is pleased to collaborate once again with Codon and bring you this fantastic computer vision event with three presentations:
The Plant Whisperer: CV and Forecasting at Svegro (presenter: Mikael Huss)
How we trained models to see what experienced horticulturalists see, and made it actionable for a team that had never worked with ML before.
Local Models, Global Headaches: Document AI Without the Cloud (presenter: Hannah Klingberg)
How we extracted structured data from scanned tables and circuit diagrams using only local models — and what we learned making human corrections actually stick.
High-Resolution Computer Vision on the Edge: Finding small objects in complex environments (presenter: Elias Carlsson)
Bios:
Hannah Klingberg is a Machine Learning Engineer at Codon Consulting with a background in computer science and cognitive systems from KTH. A full-stack ML engineer, she works across the entire stack from model training and deployment to backend and frontend and has led projects for clients ranging from energy companies to private equity firms. Her work spans computer vision, NLP, and time series analysis, with a particular focus on building systems that don't just work in notebooks but actually ship.
Mikael Huss is co-founder and CTO of Codon Consulting, a Stockholm-based AI/ML consultancy working across many sectors such as energy, public sector, life science, and industry. He holds a PhD in computer science from KTH and has worked with ML for over 25 years. One of the founding members of Stockholm AI back in 2016, he has spent the last decade helping non-tech companies turn messy real-world data into systems that actually get used — and finding that the hardest problems rarely show up until after the model is working.
The event will be hosted at Kvadrat offices and food and drinks will be provided.
Elias Carlsson is a Machine Learning Engineer at Codon Consulting with an M.Sc in Engineering from Lund University. A full-stack ML engineer with experience from both startups and large multinationals, he has worked across computer vision, NLP, and statistical modelling. At Codon he has delivered projects in energy, life science, and the steel industry, covering everything from document intelligence to MLOps pipelines.
See you there!