Nedra Digital’s development, which uses generative AI to analyze aerial photographs, was shortlisted for the prestigious Generation AI Awards in the “Best In-House Development” category. The technology reduces data processing time from months to days and increases interpretation accuracy by 20%.
Geological exploration requires a lot of time and money. Traditional methods of processing aerial photography take up to 4 months, and the accuracy of computer analysis does not exceed 70%. Nedra Digital offered a breakthrough solution:
- Automation of dataset creation – generation of thousands of realistic images in an hour based on dozens of source images.
- Accuracy up to 90% – improved data segmentation without additional information collection.
- Cost reduction – optimization of forest harvesting and field research reduces the work budget.
“Being shortlisted for the Generation AI Awards confirms Nedra Digital’s leadership in the field of AI,” notes Sergey Zaitsev, head of the company’s AI group. “For us, this is an incentive to develop the technology further and create new solutions for the industry.”
The award brings together the best projects in the field of generative AI in Russia. Every year it recognizes companies whose developments are changing approaches to data processing.
The company specializes in digitalization of geological exploration and production minerals. By introducing knowledge-intensive solutions, Nedra Digital helps enterprises speed up processes and reduce risks.
The new technology is already being integrated into the business processes of oil and gas companies, ushering in an era of high-speed and accurate geological exploration.
Nedra Digital’s solution is an example of how generative AI is transforming traditional industries. Reduced timeframes, increased accuracy and resource savings make it a promising tool for the future of exploration.
The material was prepared with the support of the Russian Ministry of Education and Science as part of the Decade of Science and Technology
Source: nedra.digital
