What is spatial computing: A basic explainer

The term computing got a new dimension when Apple debuted its Vision Pro AR/VR headset last year. If using a laptop/desktop is ‘conventional’ computing and that on smartphones is considered ‘mobile’ computing, then Apple describes computing on the Vision Pro as ‘spatial’ computing.

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The term – spatial computing – isn’t new, but Apple’s use has made it not only interesting but also appealing to consumers. If Vision Pro is the next big thing in AR/VR headsets, then spatial computing is the next big thing in computing. Here’s a basic explainer on what it is and how it can change your world.

What is spatial computing and how does it work?

Spatial computing is a type of computing that blends our physical and digital worlds by integrating virtual objects into real-world environments. You can experience spatial computing not only on Apple Vision Pro but also on Meta Quest Pro, Microsoft HoloLens, and Magic Leap.

It uses a range of technologies, including augmented reality (AR), virtual reality (VR), mixed reality (MR), and 3D mapping, to create immersive and interactive experiences. As the name implies, the core idea of spatial computing is for the user to have spatial awareness at all times so they can perceive and interact with the surrounding environment in three dimensions.

Spatial computing works by combining information from sensors, cameras, LiDARs, and advanced algorithms. They use cameras and computer vision to process real-time data and capture vision about the environment. It is then combined with data from sensors such as LiDARs to create an accurate view of the environment. Then spatial mapping is used to create a 3D model of the environment for precise placement and manipulation of the digital content.

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Devices that support spatial computing like Apple Vision Pro have advanced eye-tracking and hand-tracking sensors that allow you to interact with a virtual object in your real-world environment. They might also feature a speech recognition feature to support voice commands.

Spatial computing: What are its use cases

Spatial computing can relate to either AR, which overlays digital information onto the user’s view of the real world or VR, which immerses a user in entirely virtual environments. The third is mixed reality, which combines elements of both AR and VR to create immersive experiences blending virtual and real-world elements seamlessly. Let’s look at some of the ways spatial computing can change our lives.

1. Gaming and entertainment

One of the biggest and immediate impacts of spatial computing will be in the domain of gaming and entertainment. With spatial computing, you can play immersive games where a keyboard or joystick might be replaced by hand gestures and real-time control of avatars. Similarly, it will immerse you in games or entertainment in a way that would give you a feel of being present in real time.

2. Real-time collaboration

Another area where it could bring a big change is real-time collaboration. With spatial computing devices, you will be able to create a digital twin, and people from two different locations can solve the problem in real-time. This is already being used in construction, off-shore drilling, and oil and gas industries, while architecture and education will also take advantage of spatial computing for design and training.

3. Healthcare

With spatial computing, doctors will have new ways to diagnose, treat, and monitor patients. They could use spatial computing to not only overlay digital information but also bring a remote doctor for help. These devices could help patients in their recovery too.

The future of spatial computing

Virtual reality was once seen as the immediate successor to mobile computing but that remains a pipe dream for some tech companies. Spatial computing, at the same time, has found a niche in enterprise and business environments, but is far from reaching your home or desk.

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One of the biggest challenges with spatial computing right now is the cost associated with developing the tech. They also bring other challenges like fatigue and motion sickness. The spatial computing devices available in the market have poor battery life and it could be years before they become mainstream. However, with the speed at which progress is being made in the AR/VR space, it may just be a matter of time before the tech is perfected, made more accessible, and a reality for the masses.