Design of a Smooth Dynamic Digital Twin for Industrial Object Tracking
We discuss the design of a Dynamic Digital Twin (DDT) that provides a photorealistic representation of an industrial facility in real-time. Key challenges include defining an efficient data format for transmitting the state of the facility to the twin, generating an accurate rendering of the detected objects, training a reliable object detection model, and smoothing the rendering so that the representation is not unduly affected by missed detections. We illustrate our DDT in a controlled lab environment with 10 boxes, and report on the smoothness of the representation as boxes are moved around the shelves.
Authors
- Lou Salaün (ORCID: https://orcid.org/0000-0003-0522-0435)
- Matthew Andrews (ORCID: https://orcid.org/0000-0002-0977-9685)
- V. D. Sharma (ORCID: https://orcid.org/0000-0001-8449-2732)
- Jeong-Ran Lee (ORCID: https://orcid.org/0000-0003-0667-966X)
Institutions
- Nokia (France) (FR)
- Nokia (United States) (US)
Publication Details
- Published
- 2025-08-27
- DOI
- https://doi.org/10.1109/metacom65502.2025.00024
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00