How AR and AI work together to build unique mobile experiences?
The intriguing partnership of Augmented Reality (AR) and Artificial Intelligence (AI) is a match made in the digital heaven. An AR application can become more beneficial when AI is incorporated into it. The natural bridging of AR and AI enables mobile app developers to build more interactive and intriguing apps. This article explores a few practical ways in which AR and AI can be combined to build incredible mobile experiences.
Awesome Ways AI and AR Complement Each Other
The partnership between AR and AI is likely to have a profound impact on customer experience. Companies are developing next-generation applications for mobiles that employ AR and AI technologies. In fact, AI is the heart of AR platforms.
Though Artificial Intelligence and Augmented Reality have distinct technologies, they can sync with one another on a variety of applications. They can leverage each other’s best features and aspects building incredible mobile experiences. AI enables AR to have a multidimensional interaction with the physical environment. It allows you to manipulate 2D and 3D virtual objects with your words, eyes, and hands.
It is anticipated that the demand for AR apps is bound to soar in the next four to five years. Hence, the search for appropriate software development kits (SDK) and application program interfaces (API) for AI and AR is on.
Current State of SDKs and APIs For AR and AI
As the capabilities of current SDKs (Software Development Kits) and APIs (Application Programming Interfaces) rapidly expand, the number of commercial opportunities increase exponentially. Consider a few examples:
- Vuforia: It is an Augmented Reality SDK that enables app developers to build mobile-centric, immersive AR experiences. It is capable of supporting both IOS and Android, allowing brands to develop apps with minimal commercial and technical risks.
- ARCore: It is Google’s proprietary AR SDK. It enables developers to get their AR apps up and running on mobile devices. ARCore supports IOS devices and allows developers to build rich and immersive AR experiences supported by mobile devices.
- Core ML: It is a Machine Learning framework used across Apple devices. This API allows you to perform real-time predictions of live images on your device. Its low latency and near real-time results are its biggest advantages. Core ML is an application that can be run without network connections.
- TensorFlow Lite: It is an open-source deep learning framework focused on mobile device inference. TensorFlow Lite enables developers to insert their own custom models.
Practical Ways to Combine AR and AI
The marriage of AR and AI opens up endless opportunities. Here are a few ways in which this combination is working to create digital miracles.
1. Speech recognition: As an AI model listens to what you say, AR effects appear in front of you. For example, if you say ‘pizza,’ a virtual pizza slice appears in front of your mouth.
2. Image recognition and image tracking: It allows customers to see how an object would look and fit in a given space. Combining AR with AI technology allows users to move still photos of items into a still image of a room and assists them in making a decision. Example: IKEA Place.
3. Human pose estimation: It is a technique that detects human figures and poses. It predicts the positions of a person’s joints in an image or video. This can be used in controlling AR content. Yopuppet.com is one example.
4. Education: It allows students to have new perspectives through interaction with virtual reality. For example, it enables them to visualize and interact with a 3D life-size version of the human body.
Related Reading: Impact Of Augmented Reality In Education Industry
5. Recognizing and labeling: When the camera is pointed to a scene or an image, the AR app displays a label that indicates the object or the item when it recognizes it.
6. Car recognition: Using a smartphone camera, it allows its customers to sit inside the car and explore the car’s interiors. There isn’t even a need to download the application.
7. Object detection: AR-AI combination can be applied to automatically learn and detect the position and extent of the objects within an image or a video. This mobile-friendly model facilitates interaction between physical and digital objects.
The bridging of AR and AI is offering businesses an opportunity to empower their customers more than ever before with information shared in captivating ways. Together, AR and AI continue to enhance mobile experiences. It enables developers to design richer and more intuitive, relevant experiences for their diverse consumers. As we noted earlier, the applications of AR and AI are numerous.
To know more about how Fingent can help you build incredible mobile experiences by combining AR and AI, get in touch with our experts today!
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