WiMi Hologram Cloud Inc (WIMI)

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WiMi Develops An Interactive VR Holographic Imaging System Based on AI.

Source
https://www.newstrail.com/wimi-develops-an-interactive-vr-holographic-imaging-system-based-on-ai/

January 31, 2023

Holographic technology is increasingly used in medicine, health, education, visualization, virtual manufacturing, architectural design, remote control, space technology, entertainment, and many more. Virtual reality, augmented reality, and mixed reality are changing how people perceive the digital world. However, real-world environmental scenes are dynamic.

To better simulate the realities of the world in the digital world, WiMi Hologram Cloud, Inc. (NASDAQ: WIMI) has developed an interactive virtual reality holographic imaging system based on artificial intelligence technology. The system uses artificial intelligence technology to empower virtual reality, improve content quality, optimize and advance the personalized user experience, facilitate more effective interaction between users and technology, and provide users with more realistic virtual reality holographic imaging.

WiMi’s imaging system uses AI to apply to the holographic imaging process. AI dramatically improves the operational efficiency of holographic imaging, such as tracking objects, creating 3D world models, learning model features, and judging them. Deep learning models using AI can help holographic imaging systems to interpret complex environments, apply more realistic models in holographic imaging systems and give users more significant situational interaction, thus optimizing the immersive experience of holographic imaging. Artificial intelligence will help drive the adoption of immersive technology in the consumer and commercial sectors.

AI-based VR holographic imaging circumvents many of the problems associated with coherent imaging systems by applying deep learning to holographic imaging modalities and takes full advantage of its own holographic imaging modalities. The system achieves holographic image phase recovery, phase unfolding, super-resolution, and sensing by supervised optimization of a deep CNN (convolutional neural networks) using accurately aligned image data. CNNs typically contain tens to hundreds of layers of convolutional kernels (filters), bias terms, and non-linear activation functions. The convolutional kernels, bias terms, and non-linear activation functions in a CNN are first trained and then used to perform a predefined image reconstruction task by performing a forward pass through the network to reconstruct an artificially intelligent computed hologram. This reconstruction process typically takes a fraction of a second to complete when using the GPU, without any iterations, manual tuning of any hyperparameters, or refinement of the physical assumptions made about the image reconstruction model. This non-iterative, single-forward propagation reconstruction capability constitutes one of the main advantages of deep learning-based imaging solutions.

The more data collected in an AI-driven holographic imaging system, the more realistic the reconstructed virtual environment is likely to be. Higher-quality data can produce an equally higher-quality environment or even create a more personalized environment for the user. The virtual worlds depicted in the “metaverse” are complex, and building them is not simple. CNNs can process complex images and learn and predict by setting up scalable data pipelines that can help AI deep learning models continuously train, improve models, and optimize the user experience.

In the future, AI is expected to be the engine that drives the holographic industry forward. WiMi will further research the use of artificial intelligence technology applied to interactive virtual real-world holographic imaging systems while integrating holographic interaction technology to render virtual objects in natural scenes or put real things in virtual scenes to make holographic imaging more realistic.