What RockVision does
RockVision is an artificial intelligence-based software solution for the automatic recognition and description of geological samples. By processing color and ultraviolet images, the system enables the analysis of the internal structure of rock cores, facilitating the study, archiving, and search for promising resources.
Analyzing the properties and components of rock cores is one of the most reliable methods for identifying areas rich in natural resources. RockVision automates this process, generating detailed descriptions of the sample structure from multispectral imagery. The result is a precise and searchable mapping of geological characteristics, useful for geologists, researchers, and companies in the extraction sector.
How it works
- Image Acquisition: The system works with visible light and ultraviolet photographs of the samples.
- AI Processing: It uses segmented neural networks and proprietary algorithms based on multi-channel R-CNN.
- Structural Description: It generates a technical data sheet for the sample, useful for comparative studies and archiving.
- Data Export: Results can be integrated into databases or geological analysis platforms.
Technology
- Python and C++ as programming languages.
- MVC architecture with Django framework.
- Segmentation with multi-channel R-CNN neural networks.
- Image processing with OpenCV, with no dependency on external licenses.
Benefits
- Automation: Reduces manual labor and accelerates sample analysis.
- Precision: Advanced algorithms guarantee reliable and repeatable results.
- Scalability: Suitable for large volumes of data and samples.
- Compatibility: Simple export to archiving and analysis systems.
RockVision is designed for companies operating in the Oil & GAS sector, geological laboratories, universities, mining companies, and anyone needing to analyze rock samples in a fast, precise, and structured manner.
