INTEGRATING DIGITAL TWINS AND COMPUTER VISION FOR REAL-TIME INDUSTRIAL MONITORING: AN EXPLORATORY STUDY WITH COLOR DETECTION
Silva, L.F.F.; Khalil, M.; Carvalho, M.M.; Silva, J.R.; Zancul, E.
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- Silva, L.F.F.; Khalil, M.; Carvalho, M.M.; Silva, J.R.; Zancul, E.
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- 2025
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- Conference Proceedings
- Abstract
- This article investigates how Digital Twins (DT) and Computer Vision (CV) technologies can be integrated into industrial environments to enhance real-time monitoring, object detection, and process control. The research began with a comprehensive literature review to establish the fundamental concepts and potential synergies between DT and CV. Following that, a functional prototype was developed using Python, color-based object recognition, and webcam-based image feeds to simulate real-world industrial scenarios. This study contributes to the ongoing development of Digital Twin and computer vision integration by demonstrating a proof-of-concept prototype capable of real-time object color detection in an industrial-like learning environment. The system was successful in identifying the physical objects utilized in the proof-of-concept. Evaluation tests under varying conditions confirmed the detection effectiveness and accuracy, indicating significant potential for industrial applications such as quality control, automation, and operational efficiency.
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- ABEPRO
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