- Spexi has split its web3 technology battery at the Layerdrone Foundation, launching an open and decentralized drone network to capture terrestrial images of ultra high resolution for spatial applications of AI and real world.
- The Layerdrone network offers images to a resolution of up to 1 cm, 900 times more detailed than the satellite, which enable precise data for use cases such as autonomous vehicles, response to disasters and AR/VR.
- Drones pilots worldwide can contribute images and obtain rewards through a utility token, which also supports governance access and network application layer.
Layer base It has been officially launched as a decentralized network dedicated to the land of the Earth, which allows the collection of ultra high resolution data through a global community of drone pilots. The Foundation emerges from Spexi Geospatial Inc., a pioneer of geospatial images backed for $ 11.5 million of blockchange ventures, which will now work separately as a central taxpayer to the network.
The launch of Layerdrone marks a turning point for land observation and real world data training. As traditional satellite images fight to meet rapid growth demand for the resolution at the centimeter level through AI, augmented reality, disaster management and autonomous navigation, Layerdrone offers an open source alternative, one that is faster, faster and more detailed than existing centralized systems.
A new data infrastructure for space
Unlike conventional AI systems that process static data, space AI requires real -time consciousness of three -dimensional physical environments. Applications such as autonomous vehicles, robotics, surfaces of AR/VR and even emergency response protocols depend on an intimate understanding of the real world, from detecting small cracks in the infrastructure to the interpretation of land with precision in dense urban environments.
Layerdrone’s decentralized network architecture guarantees that this type of data is not only captured on a scale, but also accessible through community participation. The network allows drone pilots worldwide to contribute images to resolutions of up to 1 cm, approximately 900 times more detailed than satellite data, while rewarding through a utility token that also admits the characteristics of governance and access.
“Building AI systems that really understand and navigate the real world means training them in data that capture the environment with human level nuances,” said Bill Lakeland, Spexi CEO, which built the central technological layer layer. “Use cases such as distinguishing shadows from potholes or identifying microfractures in bridges require a level of detail that only drone -based systems can deliver.”
Of centralized earth images open
To date, Spexi has already demonstrated the traction of the underlying technology, images of more than 2.3 million acres in 160 cities in North America and Europe with a resolution of less than 3 cm. By turning the layer in an independent decentralized base, the initiative is the transition of the patented image to an open protocol standard, reflecting the evolution of the Internet.
The Layerdrone model creates a two -level ecosystem:
- The Layerdrone Foundation maintains governance, development of protocol and decentralization.
- Spexi, now a commercial partner, continues to build interfaces and business applications on the layer of layers.
“Similar to how open Internet protocols enabled the explosion of web applications, Layerdrone’s open protocol will create the conditions for mass innovation in space AI,” said Alec Wilson, Spexi operations director.
Greenst, most intelligent and scalable
The Lapdrone drone-first also offers important sustainability benefits. According to the Foundation, the Drones -based image issues 97% less carbon compared to satellite or aircraft -based alternatives, aligning with the mandates of ESG (environmental, social, social, governance) in the rise between the business and governmental sectors.
Market signals are strong. The geospatial analysis market is expected to reach $ 147.6 billion by 2028 (markets and markets), while spatial computing and aerial images are expected to grow at $ 152.2 billion and $ 190 billion by 2030 respectively (Mordor Intelligence, Forbes Business Inights). The spatially conscious application explosion, from the real -world game spinotos of Niantic to autonomous logistics, is already promoting demand.
Niantic, the augmented reality firm behind Pokémon Go, recently turned from games to focus on large geospatial models (LGM), with large language models, but for the navigation of the real world and the decision making of AI. Spexi drones data are already promoting such efforts, reinforcing the role that the layer can play in the training of the conventional AI model.
A physical internet protocol
The launch of Layerdrone Foundation reflects an increasing trend on web3 and IA: moving from centralized infrastructure to open, verifiable and encouraged ecosystems. It also opens the door for developers to build new spatial applications that can take advantage of Layerdrone data, either for urban planning, agricultural monitoring, defense logistics or sur overcoming in real time.
As the world runs to a more immersive, automated and promoted by AI, the physical world is becoming as programmable as digital. With its decentralized drone network, Layerdrone can become the backbone of images that makes that vision possible.
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Image credits: Canvas
