Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.RACCES046
Volume:
10 |
4 |
April 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electronics and Communication Engineering
AVS Engineering college , Salem, Tamil Nadu, India
Electronics and Communication Engineering
AVS Engineering college , Salem, Tamil Nadu, India
Electronics and Communication Engineering
AVS Engineering college , Salem, Tamil Nadu, India
Electronics and Communication Engineering
AVS Engineering college , Salem, Tamil Nadu, India
Electronics and Communication Engineering
AVS Engineering college , Salem, Tamil Nadu, India
Recent advancements in visualization technologies have led to the development of immersive display systems such as three-dimensional (3D) holography. Unlike traditional two-dimensional displays, holographic systems provide depth perception and a realistic visualization experience without requiring special viewing equipment. The integration of Artificial Intelligence (AI) with real-time 3D holography enhances visual quality, improves processing efficiency, and enables advanced interactive applications. AI-driven techniques play an important role in improving hologram generation, image rendering, and user interaction. Deep learning models are capable of processing large volumes of visual data, reducing noise, and generating high-quality holographic projections with improved clarity and stability. Advanced neural network architectures such as Generative Adversarial Networks (GANs) contribute to realistic hologram generation by refining image frames and enhancing visual details. Real-time data processing combined with wireless communication technologies enables dynamic multimedia transmission and continuous holographic updates. A layered architecture consisting of data preprocessing, AI-based hologram generation, and interactive visualization mechanisms supports efficient real-time holographic rendering. Intelligent algorithms analyze incoming visual information and optimize the rendering process to maintain high image quality while minimizing latency. The combination of high-performance hardware components such as GPUs, depth sensors, and holographic display devices further supports complex computational tasks required for real-time visualization. The combination of Artificial Intelligence and real-time 3D holography represents a promising direction for next-generation visualization technologies, enabling highly interactive, efficient, and realistic digital experiences.
KEYWORDS
The IoT-Based Image and Video Visualization using a 3D Hologram system demonstrates an innovative approach for displaying multimedia content in a more immersive and interactive manner. By integrating Internet of Things (IoT) technology with holographic projection techniques, images and videos can be transmitted through a network and visualized as three-dimensional holographic displays. This improves the viewing experience compared to traditional two-dimensional screens by providing depth perception and realistic visualization. The system allows users to upload multimedia data through an IoT-enabled platform, where the data is processed and projected as a holographic image or video. This technology can be useful in various fields such as education, entertainment, advertising, medical visualization, and product presentations. Overall, the integration of IoT with 3D holographic visualization provides an efficient and modern solution for advanced display systems and opens new possibilities for real-time multimedia communication. The future scope of IoT-based 3D holographic visualization is very promising as technology continues to evolve. Future developments can focus on improving the resolution, brightness, and clarity of holographic projections to create more realistic visual experiences. The system can also be enhanced with Artificial Intelligence (AI) for automatic image processing and better content optimization. In addition, integrating technologies such as 5G communication, cloud computing, and augmented or virtual reality can improve the speed and efficiency of data transmission and visualization. The system may also support real-time holographic communication, allowing users to interact with 3D holographic content remotely. With further research and development, IoT-based holographic visualization can become widely used in smart classrooms, remote medical training, interactive advertising, and advanced simulation systems.
[1] A. Smith, B. Brown, and C. Davis, “Development of digital holographic display systems for multimedia visualization,” Journal of Optical Engineering, vol. 57, no. 3, pp.1–10,2018. [2] D. Johnson and K. Lee, “Holographic pyramid display system for three-dimensional image projection,” International Journal of Display Technology, vol. 15, no. 2, pp.120–128,2019. [3] R. Kumar, S. Patel, and M. Verma, “IoT-based multimedia transmission system for remote visualization,” IEEE Internet of Things Journal, vol. 7, no. 5, pp. 4201–4209,2020. [4] L. Chen, Y. Zhang, and H. Wu, “IoT-enabled smart display platforms for multimedia control and monitoring,” IEEE Access, vol. 9, pp. 45678–45686, 2021. [5] J. W. Goodman, “Introduction to Fourier optics,” 3rd ed., Englewood, CO, USA: Roberts and Company Publishers, 2005. [6] T. Shimobaba, Y. Sakamoto, and T. Ito, “Fast calculation method for computer-generated holograms using wavefront recording plane,” Optics Express, vol. 17, no. 22, pp. 19662–19673, 2009. [7] P. St-Hilaire, S. A. Benton, M. Lucente, J. D. Sutter, and W. J. Plesniak, “Electronic display system for computational holography,” Applied Optics, vol. 31, no. 20, pp. 4370–4379, 1992. [8] B. Javidi and F. Okano, *Three-Dimensional Television, Video, and Display Technologies*. New York, NY, USA: Springer, 2002. [9] D. Gabor, “A new microscopic principle,” Nature, vol. 161, no. 4098, pp. 777–778, 1948. [10] L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Computer Networks, vol. 54, no. 15, pp. 2787–2805, 2010.
Publication Date
5/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
4
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...