What is Spatial Computing? Explained

Spatial computing involves using digital technology to make computers interact effortlessly in a three-dimensional world. Further, a three-dimensional world uses VR (virtual reality), AR (augmented reality), and MR (Mixed reality).

Additionally, it uses physical space to transfer input and receive output from computers. Spatial computing has made many individuals unable to interact with computers like outsiders. 

Rather, they experience what the digital world feels like by interacting with objects existing in it. In this piece, we’ve discussed extensively what you should know about spatial computing. 

What is Spatial Computing?

Spatial computing is a technology that combines physical and digital worlds. This enables users to relate to computers effortlessly. The term covers concepts such as mixed reality (MR), virtual reality (VR), and augmented reality (AR).

Let’s discuss these terms below:

• Mixed reality (MR): In mixed reality, digital content is interchanged into a real-world view, allowing the elements to interact with each other.

• Virtual reality (VR): Virtual reality is a fully immersive visual environment that obscures the view of the outside world and projects a virtual one in its place.

• Augmented reality (AR): Augments reality by projecting digital content onto the physical world while maintaining visibility of the physical environment.

• Extended reality (XR): It’s a universal term that covers VR, AR, and MR.

Machines can learn about physical locations and gather information about how people move and behave in physical space. Thanks to spatial computing technology! So, machines can use this data to automate and optimize human tasks.

Consider a “smart building” with sensors and cameras to monitor people’s movements throughout it, such as in conference rooms, offices, lobbies, cafeterias, and other areas. 

After analyzing the data, the system instructs the building’s systems to save energy by adjusting the temperature and lighting in unoccupied areas. 

How Does Spatial Computing Work?

It’s amazing how the technology underlying spatial computing combines the digital and real worlds. Let’s look at a few of the specialized technologies underlying it: 

Computer vision: The process of software comprehending an image’s content—that is, what an image would mean to a human—as opposed to merely scanning its pixels.

Sensor fusion: The process by which a machine integrates sensory information from several sensors, such as cameras or GPS.  

Spatial mapping: Using information gathered by cameras or other sensors, a computer generates a three-dimensional map of an area.

Haptic feedback systems: When a device communicates with humans through touch. For instance, a gadget vibrates to let people know there’s an incoming call.

Machine learning: Gathering and analyzing spatial data to identify patterns and automate procedures.  

Edge computing: is the practice of processing data physically, at the “edge” of a network, as opposed to transmitting it to a central data processing center.

Robotics: The use of spatial information by robots to move about and carry out tasks. Again, “surrogate” robots can even improve remote work. 

Internet of Things (IoT): The application of spatial data by a network of physical devices to comprehend their physical surroundings and improve human experiences.

What Are The Benefits of Spatial Computing?

The benefits of spatial computing improve working, learning, and transposing with the real world. Check out some key benefits below:

• Customers can connect with digital systems through a more logical and natural interface.

• It improves customer pleasure and involvement.

• Engaging with digital content becomes more natural.

• By utilizing the contingent details overlay, spatial computing improves capabilities, situational awareness, and productivity.

• Customers can view and simulate designs, complicated data, and concepts.

• Multiple users can connect to and use the same virtual data at the same time. As a result, it creates a mutual experience.

• It can reply in real-time using sophisticated input devices like cameras and sensors.

• Also, it creates high-speed operations.

• The cost is low since it requires less training time.

• It reduces the rate of mistakes.

Spatial Computing Stocks

These products are a few of the best spatial computing stocks. The companies will expose you to various technologies that are essential as spatial computing gets more common. 

But remember that it’s a new industry, so things can change faster. Therefore, new players could emerge and more tech companies will likely start building new projects associated with spatial computing. 

1. Microsoft

Microsoft, with its HoloLens product, is a pioneer in the field of spatial computing stocks. Business and industry applications are the main focus of this VR headset. One day, the hardhat-compatible version might alter engineering and building projects.

Given that Microsoft is a blue-chip company with a low-risk profile, it is a great addition to your portfolio. Additionally, Microsoft is a strong contender to acquire smaller spatial computing companies to expand its portfolio of intellectual property.

Acquiring shares of Microsoft can also provide you with exposure to other IT sectors, such as gaming, software, or personal computers.

2. Alphabet (Google)

Alphabet is a well-known tech company with a strong foundation in algorithms, machine learning, and artificial intelligence. These technologies are the foundation of spatial computing. Thus, Alphabet (Google) is among the spatial computing stocks you should buy.

Google Lens is already being used in projects involving spatial computing. This is an intriguing initiative given the rapid uptake of Google products and the potential for Google Lens to emerge as one of the most widely used platforms for spatial computing.

3. Facebook

Another internet powerhouse you ought to include in your portfolio is Facebook. With 2.89 billion active users each month, it serves as a major online advertising platform.

With the Oculus Quest and its rebranding focused on the Metaverse development, Facebook is already creating waves in the worldwide spatial computing industry. Therefore, you should consider buying its special computing stocks. 

Again, Facebook might rise to prominence as one of the top virtual reality platforms for shopping, entertainment, and other uses if this project is successful.

4. Apple

AirTags were just introduced by Apple. These products are small beacons that allow you to track your gadgets.

Although it may seem like just another device, Apple’s U1 chip for this device is truly innovative. Due to the protocol this chip uses, devices can share directional and spatial data. 

Although devices can now interact with one another through GPS and Bluetooth, the U1 chip is far more accurate and has the potential to revolutionize how IoT machines communicate.

Apple is also utilizing sensors in novel ways. The most recent iPad generation is equipped with sensors that can detect depth. One key technology enabling seamless interactions with an augmented or virtual reality environment is the ability of these devices to track the whereabouts of users.

5. Snap

Snap is the firm behind the well-known app, Snapchat. With the help of the app’s integrated filters and lenses, users can transform themselves into cartoon characters or animals.

Unlike other social media platforms, Snapchat isn’t a major place for advertising, but the technology underlying these filters and lenses is fascinating. Furthermore, through the innovative Lens Studio from Snap, these filters are created using cutting-edge augmented reality technology. 

With its innovative approach, this studio could transform how mobile devices interact with their surroundings and create more immersive experiences. So, Snap is one of the spatial computing stocks/companies you should consider buying.

Examples of Spatial Computing

Check out the following examples:

Wrap Up

So, there you have it! Spatial computing ain’t just fancy goggles and holograms. It’s about reimagining how we interact with the world around us, using technology that’s as natural as reaching out and shaking a hand.

Therefore, the next time you see someone talking to their smart speaker or fiddling with a VR headset, remember: that’s just a glimpse into the future that spatial computing is ushering in. And believe me, it’s a future worth getting excited about.

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