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
- 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)