What is Spatial Computing? Make the machine deeply aware
Spatial computing refers to a set of technologies that enable humans to interact with computers in three-dimensional space. Technologies in this category include augmented reality (AR) and virtual reality (VR), including all the software and hardware technologies that enable humans, virtual creatures or robots to move in the real or virtual world, including artificial intelligence, computer vision, virtual reality, augmented reality, sensor technology and autonomous driving.
For example, when driving, humans need to judge the distance between the car and the roadside, the distance between the car and the pedestrian, in order to drive safely, and the animal also needs to judge the distance between itself and the prey through sight or sound and other means - this basic survival skill that both humans and animals have is called "depth perception". The "spatial computing" technology is to make the machine have the ability to perceive depth, so that the digital world can correctly appear in the physical space of the real world where we are.
Spatial computing is part of the metaverse vision
Spatial computing technology is an important part of the metaverse value chain, and the seven-layer architecture of the metaverse includes the "spatial computing layer", which covers technical fields such as 3D engine, VR AR MR, and spatial mapping, further expanding the application scenarios of spatial computing.
In the era of spatial computing, Apple still has a strong moat from the perspective of long-term development, and is expected to continue to lead the mobile computing era.
In addition to the hardware stacking, Vision Pro has also been fully designed around the customer experience in terms of software such as interaction methods. From the perspective of long-term development, Apple's moat includes: 1) a mature development ecosystem; 2) Self-developed chips; 3) Product family bucket interaction. At present, there are two main shortcomings that still limit spatial computing equipment to become the main computing platform: 1) the content is relatively scarce; 2) Weight. The improvement path of the two shortcomings is clear and the iteration speed is fast, and we are optimistic about Apple's leading position in the era of spatial computing.
aiHelping the innovation and development of spatial computing, spatial computing promotes the leap of robot vision and interaction.
In terms of positioning and recognition, AI can quickly calculate the position of the device in space while scanning the surrounding environment in real time with the sensor, and try to understand the real-world scene, so as to achieve accurate positioning and recognition. In terms of content generation, multimodal AI can help the generation of future space**, thereby promoting the development of film, television, games and other fields related to spatial computing equipment, such as the SORA launched by OpenAI.
In terms of space applications, AI is expected to continuously enrich the application of spatial computing devices, and at the same time, with the help of computing power and data visualization, special spatial scene applications can be realized. In terms of interactive experience, the interactive capability of AI will become the core capability of spatial computing devices, making spatial computing devices truly integrated into users' lives. In addition, spatial computing will also help robots improve their visual perception capabilities that are highly related to obtaining environmental information, and bring novel functions at the level of robot vision and interaction.
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