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How do you combine AR and AI for better results?

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Augmented reality (AR) is a technology that overlays digital information and graphics on the real world, creating immersive and interactive experiences. Artificial intelligence (AI) is a branch of computer science that enables machines to perform tasks that normally require human intelligence, such as learning, reasoning, and decision making. By combining AR and AI, you can create more realistic, engaging, and personalized AR applications that can adapt to the user and the environment. In this article, you will learn how to combine AR and AI for better results, and what are some of the benefits and challenges of doing so.

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1 AR and AI basics

Before you start combining AR and AI, you need to understand the basics of each technology and how they work. AR uses sensors, cameras, and displays to capture the real world and overlay digital content on top of it. The digital content can be 2D or 3D, static or dynamic, and can interact with the user and the real world. AI uses algorithms, data, and models to process information and generate outputs that mimic human intelligence. The outputs can be text, speech, images, videos, or actions, and can vary depending on the input and the context. AI can be divided into subfields, such as computer vision, natural language processing, machine learning, and deep learning, each with its own applications and methods.

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Livia Ellen

Machine Learning Engineer | Masters in Data Science @ USFCA - AI Corporate Trainer, Speaker, Consultant
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I agree that Augmented Reality relies on Artificial Intelligence with Machine Learning models to detect physical objects such as faces, humans, and objects. Therefore, AI and AR are interdependent.

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Dulath N. Thilakarathne

Senior Functional Consultant | Dynamics 365 Business Central | Microsoft Dynamics NAV
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Artificial intelligence (AI) and augmented reality (AR) can be used to create effective, creative applications that offer better user experiences and more intelligent interactions. Here are some strategies for integrating these two technologies for developed outcomes. 1. Safety and Security 2. Identifying the Objects and Tracking 3. Remote Assistance 4. Content creation and adaptation. In essence, merging AI and AR expands both technologies' potential. AR experiences become more relevant, practical, and engaging for users across a variety of sectors and applications because of AI's intelligence, context awareness, and personalization.

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2 AR and AI integration

In order to combine AR and AI, you need to integrate them in a way that will improve the AR experience and provide value to the user. Depending on the purpose and platform of your AR application, there are various ways to integrate AR and AI. For instance, AI can be used to recognize objects, faces, gestures, or scenes in the real world and offer pertinent information or feedback to the user. Additionally, AI can generate realistic and customized digital content based on the user's preferences, behavior, or location. It can also enable natural and intuitive interaction with digital content through voice, text, or touch. Furthermore, AI can analyze the user's emotions, attention or engagement and adjust the digital content accordingly. Finally, it can learn from user feedback and develop the AR experience over time.

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Yasas Sri Wickramasinghe

Doctoral Candidate (PhD) in Augmented Reality | Lead Software Engineer | Lecturer
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If you consider AR as a medium to augment content blended with the real world, AI can be the content generator. For example, AI can generate Non-Player Characters (NPCs) for a Location-Based AR game. Furthermore, if you want to build an AR game that adapts to the gameplay environment, AI can recognize physical surroundings, object detection, and human detection and create more engaging game experiences. AR and AI integration unveils endless possibilities, and I think it will be commonly available with consumer products soon.

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Livia Ellen

Machine Learning Engineer | Masters in Data Science @ USFCA - AI Corporate Trainer, Speaker, Consultant
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An example I have seen is Effect House, an AR-based software for TikTok. It has the capability for users to generate AI-based assets for added elements in their AR experience. Another example I have seen in EH is the software's ability to create generative art based on user input.

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3 AR and AI examples

AR and AI technologies have the potential to create many useful applications. For example, Snapchat filters use AI to detect the user's face, track its movements, and apply effects in real time. IKEA Place utilizes AI to measure the room dimensions, scale the furniture, and match lighting and shadows. Google Translate scans text from the camera and performs translations using AI. Lastly, Pokemon Go uses AR to show Pokemon on the map and in the camera view, as well as AI to generate Pokemon based on location and time, and create realistic animations and sounds. All of these examples demonstrate the benefits of combining AR and AI technologies.

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Alex Bradt

Founder / Director @ MousePack | Augmented Reality | Game Production | Motion Design
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- Wol by Niantic - Uncle Bunny by Looking Glass Factory The example both include a 3D character that you can talk to and learn information about a specific topic. It helps that both of the characters are really cute!

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4 AR and AI benefits

Combining AR and AI can bring many benefits to the user and the developer of the AR application, such as enhanced realism, increased engagement, personalized content, and improved performance. AI can make the digital content more realistic and consistent with the real world, creating a more immersive and believable AR experience. It can also make the digital content more interactive and responsive to the user, creating a more fun and satisfying AR experience. Moreover, AI can make the digital content more tailored and relevant to the user, creating a more useful and meaningful AR experience. Additionally, AI can make the AR application more efficient and accurate, reducing the computational and bandwidth requirements and improving the quality and speed of the AR experience.

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Alex Bradt

Founder / Director @ MousePack | Augmented Reality | Game Production | Motion Design
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AI is already a crucial aspect of AR with ML trained segmentation that can understand the space around it for realism. AI can make 2D and 3D assets in real time to cater the experience to the user. Each time the user opens the experience, it can be completely new. This can greatly increase the daily active usage.

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5 AR and AI challenges

Combining AR and AI can also pose some challenges to the user and the developer of the AR application. Privacy and security concerns may arise due to AI collecting and processing personal and sensitive data from the user and environment. Ethical and social issues, such as bias, manipulation, or isolation, may be present if the AI is not transparent or accountable for its actions or outcomes. On the technical side, complexity and uncertainty can be introduced to the AR application, as well as new requirements and constraints, which may lead to data quality, model validation, user feedback, or user interface challenges if the AI is not robust or adaptable.

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Alex Bradt

Founder / Director @ MousePack | Augmented Reality | Game Production | Motion Design
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It is important to build your experiences on the desired output. You should be expecting the AI to produce results that are specifically intended for your experience. Do not give the AI complete free range unless that is the intended outcome. As an example, a mouse character might be developed to say only PG rated responses to protect my brand.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Alex Bradt

Founder / Director @ MousePack | Augmented Reality | Game Production | Motion Design
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AI is to be embraced. The technology is still so new, it is hard to imagine how it will evolve in the next 10 years. It will likely be most useful to create unique experiences and realism in Augmented Reality.

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How do you combine AR and AI for better results?

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1 AR and AI basics

2 AR and AI integration

3 AR and AI examples

4 AR and AI benefits

5 AR and AI challenges

6 Here’s what else to consider

Augmented Reality

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How do you combine AR and AI for better results?

1

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6

1 AR and AI basics

2 AR and AI integration

3 AR and AI examples

4 AR and AI benefits

5 AR and AI challenges

6 Here’s what else to consider

Augmented Reality

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