THE “INVISIBILITY CLOAK”

  • Unique Paper ID: 188373
  • Volume: 12
  • Issue: 7
  • PageNo: 1367-1371
  • Abstract:
  • This project presents a real-time computer vision system that creates a visual "invisibility cloak" effect. The system uses a webcam and the OpenCV library to manipulate live video streams, effectively making a specific, colored object appear to vanish from the frame. The core principle involves capturing a static background image, then using color detection in the HSV color space to identify and segment the "cloak." A bitwise operation is then performed to replace the cloaked area in the live video with the pre-captured background, seamlessly blending the subject into its surroundings. This prototype demonstrates fundamental concepts in augmented reality, image masking, and real-time video processing, offering a practical application of computer vision principles. The project is implemented using Python, making it a straightforward and accessible demonstration of these techniques.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{188373,
        author = {Ms. Akshata. N. Pattan and Mr. Aqeeb Javeed and Ms. Ashwini and Ms. Avantika Patil and Prof. Ashwini Hatti},
        title = {THE “INVISIBILITY CLOAK”},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1367-1371},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188373},
        abstract = {This project presents a real-time computer vision system that creates a visual "invisibility cloak" effect. The system uses a webcam and the OpenCV library to manipulate live video streams, effectively making a specific, colored object appear to vanish from the frame. The core principle involves capturing a static background image, then using color detection in the HSV color space to identify and segment the "cloak." A bitwise operation is then performed to replace the cloaked area in the live video with the pre-captured background, seamlessly blending the subject into its surroundings. This prototype demonstrates fundamental concepts in augmented reality, image masking, and real-time video processing, offering a practical application of computer vision principles. The project is implemented using Python, making it a straightforward and accessible demonstration of these techniques.},
        keywords = {},
        month = {December},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 7
  • PageNo: 1367-1371

THE “INVISIBILITY CLOAK”

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