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AI-assisted Object Recognition in AR

Jyväskylä, Riihimaki, Tokyo, Tampere, Oulu

Byte-powered Future

Value Creators of Tomorrow

AI-assisted Object Recognition in AR

Description
Industrial digital twins have been around for a long time. Industrial metaverse gives a whole new meaning for digital twins as we can start blending the virtual world with the real world through AR. This could be used, for example, in industrial maintenance helping the experts to see more information about the machines or objects or specify the malfunctioning parts of the machine in real-time. In order to make this reality, overlaying the 3D models on top of their real-world counterparts is a challenge. In this project we aim at developing a system that recognizes objects without markers (such as QR codes) using visual features, sensor data, and minimal tagging. The system should match what the camera sees with the 3D model fetched from the database. How might we make a simple demonstration which recognizes the position and angle of the machine and overlays the 3D model in realistic way on top of it? If we had real-time product and operational data, what could we visualize on the 3D model? We are aiming at using simple camera tech and MCP server to take full advantage of AI to fetch the information from the databases. If you are interested in cutting-edge industrial metaverse, this project is for you!
Contact person
Janne Eskola
Janne Eskola

VP

+358 40 661 9940

janne@demola.net

Jere Wessman
Jere Wessman

Head of Talent Development

+358 40 631 4029

jere@demola.net

Joonas Kemppainen
Joonas Kemppainen

COO

+358 50 529 1845

joonas@demola.net

Heini-Marja Rintaniemi
Heini-Marja Rintaniemi

Program Manager

+358 50 582 7401

heikku@demola.net

Mirza Sagdati
Mirza Sagdati

Head of Startup Development

+358 45 233 3056

mirza@demola.net

Basic information

Apply by

15 Feb 2026

Location

Jyväskylä

Teamwork

In person

Language

English

Timeline

Project starts

18 Feb 2026

Kick-off (day 1)

18 Feb 2026

Kick-off (day 2)

19 Feb 2026

Mid-event

11 Mar 2026

Final session

09 Apr 2026

Project ends

09 Apr 2026

Related tags

#3d modelling

#augmented reality

#digital twins

#industrial data

#maintenance