I gave a presentation at the conference: 
Faces in the Crowd: Microhistory, Material, and Memory in the Digital Age
20–21 augusti 2026, at the City Museum of Stockholm.

The conference spanned two full days crammed with very interesting and inspiring presentations varying from the story of a house to murder by poison. 

My presentation title was: 
“Finding Faces in History: AI, Search, and Identity Across Visual Archives”

Abstract:
“Historical image collections contain vast numbers of unidentified or difficult-to-access faces. This presentation describes the facial recognition methods developed within the City Faces project and explains how AI can transform images into searchable historical data. The talk introduces the principles behind face recognition, including facial feature vectors, similarity search, and large-scale image retrieval. It further discusses how advanced search strategies can improve the discovery of photographs depicting the same person across multiple archives and collections. The presentation concludes by reflecting on the opportunities and limitations of facial recognition as a tool for historical inquiry and digital humanities research.”

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Published by Anders

Anders Hast received a PhD in Computerised Image processing at Uppsala university in 2004. In 2011 he spent one year at IIT, CNR, Pisa in Italy as an ERCIM fellow and after that he received a full time position as associate professor and in 2019 he became professor in image processing, both at Uppsala University. He has been affiliated with UPPMAX super computer centre where he worked as an application expert in Scientific Visualisation and later in the field of digital humanities together with the Centre for digital humanities in Uppsala. His recent research has focused on image processing and computer vision, for applications in microscopy, aerial photography, object recognition and especially hand written text recognition and face recognition.

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