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AR is AI in real time

by Uma Rajagopal
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AR is AI in real time

Written by Mei Dent, CPTO, TeamViewer

Artificial Intelligence (AI) has undeniably taken centre stage in today’s technological landscape. It is the buzzword on everyone’s lips, and for good reason. Innovations in AI, particularly generative AI models like OpenAI’s ChatGPT, Google’s Gemini, Adobe’s Sensei, and Firefly, have catapulted AI from an abstract concept to an integral part of our daily lives. While AI is currently enjoying the limelight, it’s essential to recognise that AI has been quietly shaping technology and tools that people use every day for quite some time. One of the most remarkable applications of AI lies in the realm of Augmented Reality (AR) and Mixed Reality (MR), which have revolutionised our interaction with the digital world.

The union of AI and AR

Augmented Reality, in particular, is possible through the integration of AI into its core functionality. The magic of AR, such as that experienced through smart glasses and mobile devices, relies heavily on AI and Machine Learning (ML). These technologies work harmoniously to analyse data from hundreds of sensors, creating a bridge between the digital and physical worlds.

The power of sensor edge data

Smart glasses and mobile devices are brimming with sensors that capture data about our surroundings. AI takes this raw sensor data and transforms it into a digital representation of the environment, a process often referred to as “mapping.” This mapping is the foundation upon which AR annotations are linked to the real world. It’s what enables digital objects to appear seamlessly integrated into your physical surroundings.

With more smart devices, data at the edge will continue to get richer. This will allow more and more capabilities at the edge that businesses can take advantage of.

Enhancing worker efficiency

Furthermore, the mapped surroundings are constantly analysed through AI, allowing the worker to get assistance on repetitive parts of the work or certain validations, like scanning items or warning signs. These can be solved automatically, making it possible for the worker to concentrate on their core tasks. 

AI can also be used to draw conclusions from data. Those undertaking manual tasks like lifting heavy items can be monitored to see when productivity begins to fall through over exertion. Shifts can be modified, or locations of items can be changed to minimize fatigue, or new tools can be introduced. In addition, the auditability capabilities through the power of AI-image recognition and object identification help workers to track activities and improve efficiency.   

The core of AI: context-based real-time analysis

Context-based real-time analysis of data is at the heart of AI, and it will continue to be the most defining factor in AI-supported processes and outcomes in the future. Here are a few key aspects that highlight the significance of AI in this matter:

  1. Enabling technically advanced use of data

AI is the driving force behind real-time processes like AR, MR, and live captioning and translation. It enables these technologies to adapt and respond to changing environments, providing users with a more dynamic and immersive experience.

  1. Identifying patterns in data

One of AI’s standout capabilities is its ability to identify patterns in vast amounts of data. In an industrial setting, this means that AI can help analyse worker behaviours and activities. For example, workers on a shop floor often spend unnecessary time searching for specific items. AI can track these patterns and suggest more efficient item locations by considering the entire warehouse stock, reducing the need for trial and error.

  1. Drawing conclusions from data

AI doesn’t stop at identifying patterns; it can also draw valuable conclusions from the data it collects. For instance, in physically demanding tasks where workers may lift heavy items, AI can monitor their performance and detect when productivity starts to decline due to overexertion. This data can lead to informed decisions, such as adjusting work shifts, rearranging item locations to minimise lifting, or introducing new tools to ease the physical strain.

We are still a long way from understanding the business processes to know what is truly possible in the future with AI but moving further from analysis to automation will undoubtedly help to drive further efficiencies. 

Today, AI has evolved from a mysterious concept to an indispensable tool in our daily lives. Its integration with AR and MR has not only transformed the way we interact with technology but has also greatly enhanced worker efficiency in various industries. As we move forward, the power of AI’s real-time data analysis will continue to drive innovation, creating smarter, more responsive, and more efficient tools and processes for us all. From smart glasses to industrial settings, AI’s influence is unmistakable, making the future of technology more exciting than ever.

 

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Uma Rajagopal

Uma Rajagopal has been managing the posting of content for multiple platforms since 2021, including Global Banking & Finance Review, Asset Digest, Biz Dispatch, Blockchain Tribune, Business Express, Brands Journal, Companies Digest, Economy Standard, Entrepreneur Tribune, Finance Digest, Fintech Herald, Global Islamic Finance Magazine, International Releases, Online World News, Luxury Adviser, Palmbay Herald, Startup Observer, Technology Dispatch, Trading Herald, and Wealth Tribune. Her role ensures that content is published accurately and efficiently across these diverse publications.