Improve the intuitiveness of your metaverse with user-friendly blockchain-enabled applications. Several different factors are powering metaverse development. Understanding each of them and recognizing where they intersect is critical to innovation.
Use our best-in-class AR/VR and blockchain expertise to build a decentralized platform. Our team creates truly immersive virtual environments that allow users to interact, hang out, learn, or even work. We also implement integrations to add value to your custom metaverse project, from APIs to data and services.
In fact there is a non-monotonic relationship between the source speech and the target translations. It means that the words at the end of the speech can influence words at the beginning of the translations. So, there is no real real-time speech translation because there is always the need to check the translated text consistency against the original speech (so called re-translations). There is always a small delay even if you can’t see it. Therefore, you need advanced algorithms to stabilize the translation of live speech, as Google does in its Google Translate to reduce the number of re-translations.
Internally real-time speech translations may be organized as follows: the user says something, the user’s speech turns into a text, and the text is then translated into the other language. After the speech is paused/ended and the final re-translation is done, the text turns into a speech using speech-to-text technologies.
NLP also can provide live captions for users with hearing impairments. For example, AI technology can instantly transcribe the conversation of a group of people, making communication within a metaverse application accessible to users with hearing disabilities.
The representation of users in the metaverse as AI avatars or digital humans also relies on NLP. Conversational AI allows avatars to process and understand human language as well as respond to voice commands. Last year NVIDIA introduced the Omniverse Avatar avatar modeling platform. It allows you to create virtual versions of people who not only recognize speech, but also capture emotions on the faces of users.
AR implementation includes the coordination of both the cell phone’s video camera and LiDAR. Video camera captures the image/video of the real world and the user’s hand. LiDAR estimates the distance between the real-world objects and the user’s hand. With that information we can correctly place some virtual objects on the phone screen, so from the user’s perspective the virtual object looks like a part of the real world.
With the help of computer vision technologies, we can recognize if the user tries to interact with the virtual object with the hand. Examples of such interactions can be putting the virtual object in a cart in a virtual shop or animating objects (useful for AR-interactive games).
One of the most useful applications of IoT in the metaverse are digital twins. This technique utilizes IoT sensors to create a digital version of an environment or system. With VR relying heavily on virtual environments, being able to create a virtual representation of an environment using sensors is in high demand.
THE BLOCKCHAIN ROLE IN WEB 3.0
As a global and decentralized system, blockchain platforms are in demand for use in metaverse projects. Centralized data storage is problematic in the metaverse because of the barriers to the flow of information. A more open solution like a blockchain can allow for a more fluid flow of information and proof of ownership for digital assets. Due to this, there is a high demand for the development of systems that can support cryptocurrencies and non-fungible tokens.
Non-fungible tokens or NFTs, today are the most promising way to develop the metaverse economy. Since each token is unique, it can be a reliable proof of digital ownership recorded in the blockchain. For example, users can buy in-game assets and digital real estate in the form of non-fungible tokens representing the right to own these items.
3D MODELING
With the metaverse relying heavily on virtual worlds, 3D modeling is a skill that’s in high demand. From decorating homes to creating skins for avatars, modeling is something that virtual worlds can’t do without. With such a large number of objects that need to be digitized, it’s clear why IoT sensors need to be used to create digital twins of environments. Large databases need to be made of real-world objects that have been ‘3D captured’ and digitized.
Use our best-in-class AR/VR and blockchain expertise to build a decentralized platform. Our team creates truly immersive virtual environments that allow users to interact, hang out, learn, or even work. We also implement integrations to add value to your custom metaverse project, from APIs to data and services.
- AR & VR IN THE METAVERSE
- AI IN THE METAVERSE
- NATURAL LANGUAGE PROCESSING
In fact there is a non-monotonic relationship between the source speech and the target translations. It means that the words at the end of the speech can influence words at the beginning of the translations. So, there is no real real-time speech translation because there is always the need to check the translated text consistency against the original speech (so called re-translations). There is always a small delay even if you can’t see it. Therefore, you need advanced algorithms to stabilize the translation of live speech, as Google does in its Google Translate to reduce the number of re-translations.
Internally real-time speech translations may be organized as follows: the user says something, the user’s speech turns into a text, and the text is then translated into the other language. After the speech is paused/ended and the final re-translation is done, the text turns into a speech using speech-to-text technologies.
NLP also can provide live captions for users with hearing impairments. For example, AI technology can instantly transcribe the conversation of a group of people, making communication within a metaverse application accessible to users with hearing disabilities.
- VIRTUAL ASSISTANT TECHNOLOGY
The representation of users in the metaverse as AI avatars or digital humans also relies on NLP. Conversational AI allows avatars to process and understand human language as well as respond to voice commands. Last year NVIDIA introduced the Omniverse Avatar avatar modeling platform. It allows you to create virtual versions of people who not only recognize speech, but also capture emotions on the faces of users.
- COMPUTER VISION
AR implementation includes the coordination of both the cell phone’s video camera and LiDAR. Video camera captures the image/video of the real world and the user’s hand. LiDAR estimates the distance between the real-world objects and the user’s hand. With that information we can correctly place some virtual objects on the phone screen, so from the user’s perspective the virtual object looks like a part of the real world.
With the help of computer vision technologies, we can recognize if the user tries to interact with the virtual object with the hand. Examples of such interactions can be putting the virtual object in a cart in a virtual shop or animating objects (useful for AR-interactive games).
- HUMAN POSE ESTIMATION
- INTERNET OF THINGS AND THE METAVERSE
One of the most useful applications of IoT in the metaverse are digital twins. This technique utilizes IoT sensors to create a digital version of an environment or system. With VR relying heavily on virtual environments, being able to create a virtual representation of an environment using sensors is in high demand.
THE BLOCKCHAIN ROLE IN WEB 3.0
As a global and decentralized system, blockchain platforms are in demand for use in metaverse projects. Centralized data storage is problematic in the metaverse because of the barriers to the flow of information. A more open solution like a blockchain can allow for a more fluid flow of information and proof of ownership for digital assets. Due to this, there is a high demand for the development of systems that can support cryptocurrencies and non-fungible tokens.
Non-fungible tokens or NFTs, today are the most promising way to develop the metaverse economy. Since each token is unique, it can be a reliable proof of digital ownership recorded in the blockchain. For example, users can buy in-game assets and digital real estate in the form of non-fungible tokens representing the right to own these items.
3D MODELING
With the metaverse relying heavily on virtual worlds, 3D modeling is a skill that’s in high demand. From decorating homes to creating skins for avatars, modeling is something that virtual worlds can’t do without. With such a large number of objects that need to be digitized, it’s clear why IoT sensors need to be used to create digital twins of environments. Large databases need to be made of real-world objects that have been ‘3D captured’ and digitized.