Stereye's 3D Vision Technology

Driven by AI and CV, The way of urban management has been widely changed. How to efficiently carry out 3D digitization and how to connect 3D world and digital information sources has become a key challenge restricting AI city management. Based on years of scientific research, combined with our core algorithms annd software-hardware integration capabilities, Stereye developed modeling, connecting, and analyzing technology that targets the in-depth application dilemma of future digital cities.

Technology Trends

The transformation of 3D analysis to AI

With the gradual maturity of image artificial intelligence technology, the 3D neural network solution will become the breakthrough of the next generation technology, which will bring applications with higher accuracy and richer analysis.

Greater potential by visual semantic analysis

Simple visual feature recognition will be replaced by higher-dimensional semantic object understanding, and visual semantics will be more globalized, which can effectively improve AI capabilities.

Expansion of AI databases

3D neural networks rely on large-scale core databases. In the near future, they will still be the core concern of academia and industry in such development. Richer and higher-quality 3D data will help establishing better intelligent engines.

Mastering data to master intelligence

City-level big data will be more sparse and sensitive than consumer-level data, and organization who first establish a database will take the lead in subsequent intelligent development.

Featured Solution

Building 3D structure recognition algorithm

The proprietary building 3D structure recognition algorithm can effectively recognize the indoor 3D structures. Combined with the drawing/BIM data, it can realize semantic association, autonomous progress analysis, 3D error monitoring and other applications. At the same time, the technology also has great application potential in the 3D reverse modeling.

3D recognition
Building semantics

Neural network driven 3D reconstruction and optimization system

The system uses neural networks to construct a 3D reconstruction and optimization scheme that is different from traditional 3D geometric modeling. This technology can be combined with existing 3D reconstruction algorithms to significantly improve the accuracy of reconstruction details and greatly reduce the workload of manual model repair.

3D reconstruction
High precision
Nice details