What is Apple ARKit and Augmented Reality AR Apps

Apple ARKit 6

ARKit 6 introduces 4K video capture capabilities, allowing you to create high-resolution videos of stunning AR experiences. Whether you're a professional video editor, filmmaker or social media enthusiast, this feature is perfect for seamlessly integrating virtual and real-world content. With expanded support for HDR video and high-resolution background image capture, your creations will truly come to life.

Location Anchors

Apple is expanding the reach of its AR experiences with Location Anchors. New cities such as Montreal, Sydney, Singapore and Tokyo have been added to the list of supported locations in ARKit 6. This means users living in these cities will now be able to experience location-specific augmented reality content, further blurring the lines between the virtual and real worlds.

Refined Motion Capture

ARKit’s motion capture has experienced significant improvements in accuracy and pose detection. Movement and posture become powerful inputs into AR experiences because they involve an understanding of body position across a range of joints and bones. With this enhancement, people will be placed at the heart of augmented reality, enjoying interactions and experiences that are captivating and beyond imagination.

Depth API

By using ARKit’s depth API, you can leverage per-pixel depth information to achieve realistic virtual object occlusion and effects. It combines depth data from a LiDAR scanner with 3D mesh data from scene geometry to seamlessly blend virtual objects with their physical environment. This world is filled with possibilities through precise measurement, applying effects to environments and unleashing creativity like never before.

Instant AR Seamless placement of AR objects

Instant AR is a game changer, making it easy to place AR objects in the real world without scanning. Quickly detect flat surfaces with a LiDAR scanner and automatically enable functionality for compatible devices. Through Instant AR technology, the real world and the virtual world are seamlessly integrated, bringing users an instant and immersive experience.

Sync front and rear cameras

With ARKit 6, you can now use both the front and rear cameras at the same time. This breakthrough provides new opportunities for users to interact with AR content through facial gestures and also take advantage of world tracking technology. It's a small step toward a future of augmented reality interaction, where you can interact with virtual objects using just your face instead of using your imagination using the rear camera view.

Enhanced Video Capture

ARKit 6 introduces improvements to image and video capture capabilities. You can now capture high-resolution background images during an ARKit session, enabling higher-quality virtual object reconstruction and enhancing photography applications. Support for HDR video ensures stunning visuals, while EXIF ​​tags provide valuable metadata such as exposure and white balance. You can also adjust camera settings such as exposure, white balance, and focus directly in your ARKit session.

Scene Geometry Real World Physics

The goal of creating a physical space topology map from scene geometry in ARKit has been achieved. This feature provides deep understanding of the real world by identifying floors, walls, ceilings, windows, doors and seats. By unlocking object occlusion and real-world physics for virtual objects, it transforms your AR experience into a truly immersive encounter.

Blending reality and virtuality

With character occlusion, AR content can interact seamlessly with characters in the real world. By having virtual objects move behind and in front of the individual, immersion is enhanced, making the AR experience more realistic and engaging. Improved depth estimation on compatible devices further improves the quality of people occlusion, taking augmented reality to the next level.

ARKit 6 introduces more enhancements to enrich your AR experience. Motion capture now includes binaural tracking, improving overall body pose detection. You can detect up to 100 images simultaneously and automatically estimate object size. Object recognition becomes more powerful in complex environments, ensuring better recognition of 3D objects.

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