WiMi Builds AI-Based Interactive VR Holographic Imaging System For App-Developing in the Metaverse
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has announced the development of an interactive virtual reality holographic imaging system leveraging advanced artificial intelligence. The system aims to enhance users' virtual experiences by simulating real-world environments with improved content quality and personalized engagements. AI aids in operational efficiency, enabling object tracking, 3D modeling, and better interaction within holographic systems. This technology could be pivotal in driving the adoption of immersive solutions in both consumer and commercial sectors. WiMi plans to further its R&D in AI to integrate holographic interaction technology and enhance realism in virtual settings.
- Development of an AI-based holographic imaging system enhances user experience.
- System utilizes deep learning for object tracking and 3D modeling, improving operational efficiency.
- Potential to drive adoption of immersive technology in consumer and commercial sectors.
- None.
BEIJING, March 23, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it had developed an interactive virtual reality holographic imaging system based on artificial intelligence technology to simulate realities in the digital world better. The system empowers virtual reality, improves the quality of content, optimizes and advance the personalized user experience, facilitates more effective interaction between users and technology, and provides users with more realistic virtual reality holograms.
WiMi's system applies AI in the holographic imaging process. Artificial intelligence greatly improves the operational efficiency of holographic imaging by enabling it to track objects, create 3D world models, learn model features, and make judgments. Deep learning models using AI can help holographic imaging systems interpret complex environments, use more realistic models in holographic imaging systems, and empower users with more significant situational interaction to optimize the immersive experience of holographic imaging. Artificial intelligence will help drive the adoption of immersive technology in the consumer and commercial sectors.
Applying deep learning methods to holographic imaging circumvents many of the problems associated with coherent imaging systems and takes full advantage of its holographic imaging paradigm. The system achieves holographic image phase recovery, phase unfolding, super-resolution, and sensing by supervised optimization of a deep CNN using accurately aligned image data. Deep CNNs typically contain tens to hundreds of layers of convolutional kernels (filters), bias terms, and non-linear activation functions. Developers first train the convolution kernels, bias terms, and non-linear activation functions in a convolutional neural network and then use the neural network to perform a predefined image reconstruction task, performing a single 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.
In an AI-driven holographic imaging system, the greater the data collected, the more realistic the reconstructed virtual environment is likely to be. Higher-quality data can produce equally higher-quality environments and even create more personalized settings 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 to help deep learning models of artificial intelligence continuously train, improve and optimize the user experience.
In the future, artificial intelligence is expected to be the engine that drives the holographic industry forward. WiMi's R&D team will further research artificial intelligence technology and apply it to interactive virtual real-world holographic imaging systems while incorporating holographic interaction technology to render virtual objects in natural scenes or put real things in virtual scenes to make holographic imaging more realistic.
About WIMI Hologram Cloud
WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
Safe Harbor Statements
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Further information regarding these and other risks is included in the Company's annual report on Form 20-F and the current report on Form 6-K and other documents filed with the SEC. All information provided in this press release is as of the date of this press release. The Company does not undertake any obligation to update any forward-looking statement, except as required under applicable laws.
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SOURCE WiMi Hologram Cloud Inc.
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