What's Happening?
Niantic Spatial has launched two new products, Scaniverse for businesses and an updated Visual Positioning System (VPS 2.0), aimed at improving the deployment of artificial intelligence in physical environments. These products are designed to address
the current limitations in AI development, particularly the lack of accurate, machine-readable maps of the physical world. Scaniverse allows companies to capture and reconstruct physical environments using consumer devices like smartphones, generating 3D representations that can be used to train AI systems. VPS 2.0 offers near centimeter-level accuracy in positioning, functioning effectively in areas where GPS is unreliable. These tools are part of Niantic Spatial's effort to create a 'Large Geospatial Model' for shared spatial understanding among machines.
Why It's Important?
The introduction of these tools by Niantic Spatial is significant as it addresses a critical gap in AI deployment in the physical economy. Industries such as construction, energy, logistics, and manufacturing, which are integral to the global economy, have been challenging for AI to penetrate due to the lack of detailed spatial data. By providing accurate mapping and positioning solutions, Niantic Spatial's products could facilitate the integration of AI in these sectors, potentially leading to increased efficiency and innovation. This development could also spur advancements in robotics and autonomous systems, as seen with the deployment of VPS by Coco Robotics for navigation in its autonomous fleet.
What's Next?
Niantic Spatial plans to release version 4.0 of its development kit later this month, which will support platforms like Unity, Swift, Android, and ROS 2, commonly used in robotics. This expansion could lead to broader adoption of their technology across various industries. As companies begin to integrate these tools, there may be increased collaboration between tech firms and traditional industries to further enhance AI capabilities in real-world applications. The success of these products could also prompt other tech companies to develop similar solutions, potentially accelerating the growth of AI in the physical economy.
