Authors : Sathish Kumar S ; Kirubakaran T J

Volume/Issue : Volume 10 - 2025, Issue 5 - May

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Google Scholar : https://tinyurl.com/9z8nnyrt

DOI : https://doi.org/10.38124/ijisrt/25may1372

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : This project presents a fully automated system for applying 2D and 3D decals onto objects using sensor-based model detection. The system integrates LiDAR and camera sensors to accurately identify and localize target surfaces in real- time. By leveraging these sensors, the model can dynamically adapt to varying object geometries and positions without the need for manual alignment. Once detection is complete, a robotic arm precisely applies the decal, ensuring high accuracy and consistency across different surfaces. This approach enhances manufacturing efficiency, reduces human intervention, and improves the reliability of decal placement in both industrial and creative applications.

Keywords : 2D/3D object detection.

References :

1. A. Smith and B. Lee, "Robotic Label Application on Curved Surfaces," IEEE Transactions on Automation Science and Engineering, vol. 15, no. 2, pp. 400–410, 2021.
2. X. Zhang et al., "Vision-Based Sticker Application on Complex Geometries," Robotics and Computer-Integrated Manufacturing, vol. 59, pp. 10–18, 2019.
3. M. Zhao et al., "LiDAR-Based Object Detection for Industrial Automation," Sensors, vol. 18, no. 6, pp. 1892–1905, 2020.
4. Y. Tanaka and H. Yamamoto, "Real-Time 3D Surface Reconstruction for Industrial Robotics," Journal of Intelligent Robotics Systems, vol. 74, pp. 215–230, 2020.