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Editshare - Enhancing EditShare’s flow media asset management with Automated AI

Editshare - Enhancing EditShare’s flow media asset management with Automated AI


Simplify online photo-printing with AI

February 16, 2023
February 28, 2022
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Are your customers dropping off during the photo printing process?

Capturing countless memories is easy with digital and mobile photography, but picking out the best ones to preserve in a photo book or album can be an overwhelming task.

Let our AI help: our solution analyzes customer preferences to automatically create beautiful stories from thousands of visuals. All they have to do is press the ‘order and print’ button.  

Leverage a solution that generates deep insights from customer images by

- finding aesthetically similar images from huge archives

- categorizing visuals based on specific emotions, people, and events

- understanding themes and emotions in visuals, and sorting them accordingly

- automatically discarding blurred images, filtering the good from the bad

- recognizing different shot angles within specific themes

Understand your customers better, simplify the story-creating process and reduce shopping-cart abandonment. Recommend personalized products based on your customers’ interests and buying habits to increase upsells.

We’ve created a specialized demo-video to show you how this actually works.

Interested to learn more about how Superhuman Vision can help to commercialize your business? Check out our detailed article here or contact our Internet to Print expert at

Customer details
Written by
Trisha Mandal
Edited by
Illustrated by
Xana Ramos

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Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.