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Detection and 3D positioning of parts or resources

Project
19027 AIToC
Type
New product
Description

Computer vision pipeline that builds a 3D map given a single camera and then is able to detect and accurately place objects (e.g hammers, pliers...) in the 3D map. This pipeline is adaptable to any kind of objects an AI model could detect.

Contact
Belen Luque, Univrses
Email
belen.luque@univrses.com
Research area(s)
WP5
Technical features
  • Visual mapping algorithm using a single camera
  • Robust real-time localization algorithm of a moving camera given a prebuilt 3D visual map
  • AI model that can detect parts or resources (e.g a hammer, pliers...) in images
  • 3D positioning of the detected objects in a prebuilt 3D visual map
Integration constraints

Unix

Targeted customer(s)

Any type of industry that requires 3D positioning e.g manufacturing, mobility, mapping, smart cities...

Conditions for reuse

Licensed product

Confidentiality
Public
Publication date
18-01-2024
Involved partners
Univrses AB (SWE)

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