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PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models

arXiv 2504.18165 ↗First posted 25 Apr 2025cs.CV cs.AI cs.LGcited by 0

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Abstract (arXiv)

We introduce PerfCam, an open source Proof-of-Concept (PoC) digital twinning framework that combines camera and sensory data with 3D Gaussian Splatting and computer vision models for digital twinning, object tracking, and Key Performance Indicators (KPIs) extraction in industrial production lines. By utilizing 3D reconstruction and Convolutional Neural Networks (CNNs), PerfCam offers a semi-automated approach to object tracking and spatial mapping, enabling digital twins that capture real-time KPIs such as availability, performance, Overall Equipment Effectiveness (OEE), and rate of conveyor belts in the production line. We validate the effectiveness of PerfCam through a practical deployment within realistic test production lines in the pharmaceutical industry and contribute an openly published dataset to support further research and development in the field. The results demonstrate PerfCam's ability to deliver actionable insights through its precise digital twin capabilities, underscoring its value as an effective tool for developing usable digital twins in smart manufacturing environments and extracting operational analytics.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 79 references that are in the map. First posted on arXiv 25 Apr 2025.

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23 of 79 references.

References · 23

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
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11 more
  1. 2022PP-YOLOE: An evolved version of YOLOcited by 75
  2. 2024Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objectscited by 69
  3. 2022Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunitiescited by 40
  4. 2024Learning-based Multi-View Stereo: A Surveycited by 18
  5. 2023AutoRecon: Automated 3D Object Discovery and Reconstructioncited by 13
  6. 2024Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancementcited by 7
  7. 2023Design Patterns for Situated Visualization in Augmented Realitycited by 6
  8. 2021Drone-based AI and 3D Reconstruction for Digital Twin Augmentationcited by 3
  9. 2024Applying digital twins for the management of information in turnaround event operations in commercial airportscited by 3
  10. 2021PerfSim: A Performance Simulator for Cloud Native Microservice Chainscited by 1
  11. 2024FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingcited by 1

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