The startup has developed a blockchain-based protocol that incentivizes IoT sensor owners to share 3D geospatial data, enabling the creation of detailed digital twins from diverse data sources. This approach addresses the challenge of outdated mapping data by providing near-real-time access to accurate 3D models for various industries, including smart cities and construction.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods for creating and maintaining 3D geospatial data are expensive, infrequent, and often result in outdated mapping information. Traditional data acquisition campaigns are launched every few years, leading to reliance on stale data sources like outdated satellite imagery.
Solution
This startup is developing a blockchain-based protocol to incentivize IoT sensor owners to contribute 3D geospatial data, creating detailed and up-to-date digital twins. The protocol enables a collaborative data acquisition model where various contributors, from geospatial companies using drones to individuals with smartphones, can earn by providing data. Powerful algorithms process point cloud data from LiDAR and photogrammetry technologies, merging diverse perspectives to generate detailed 3D models. This approach provides near-real-time access to accurate 3D models, eliminating the need for infrequent acquisition campaigns and reliance on outdated data.
Target Audience
The primary target audience includes smart cities, telecommunications companies, construction firms, and developers in industries requiring detailed and up-to-date 3D geospatial data.
Features
- Blockchain-based incentive system for data contributors
- Support for point cloud data from LiDAR and photogrammetry
- Algorithms for comparing, interpreting, and reconstructing 3D data
- Generation of detailed 3D models from merged data perspectives
- Near-real-time data accessibility as the network expands