Fossil recognition method with deep learning processes

GB2638630A8Pending Publication Date: 2025-10-08TURKIYE PETROLLERI ANONIM ORTAKLIGI
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Patent Information

Application Number
GB2025007415
Authority / Receiving Office
GB · GB
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-11-14
Publication Date
2025-10-08

AI Technical Summary

Technical Problem

Manual identification of fossil genus and species from microfossil images is time-consuming and prone to errors due to the need for specialized expertise and the similarity in appearances of different classes, especially when dealing with limited training samples.

Method used

A deep learning-based method using convolutional neural networks and a meta-learner to automatically classify microfossil images from photographs, averaging features to handle classes with few examples, and reducing the margin of error through assisted validation and training processes.

Benefits of technology

The method enables efficient and accurate automatic classification of microfossil images, reducing the need for extensive expertise and minimizing errors in identifying fossil genus and species, particularly effective for classes with limited training samples.

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Abstract

Within the scope of this invention, "Fossil Vision Software from Photographs" was developed, which is thought to bring great convenience and innovation to paleontological and stratigraphic studies. By the help of this developed invention, from the photographs of microfossils (single-celled fossils) belonging to the acritarch and chitinozoan groups, it is possible to automatically predict which genus the individual in the photograph belongs to. In micropaleontological studies, the genus and species determination of fossils can be made by experts under the microscope. Fossil identification is a time-consuming and highly specialized process. With this system developed using deep learning and computer vision techniques, these problems are prevented, the margin of error observed in the definitions can be reduced, and it may be sufficient to have a lower level of expertise required during the definitions.
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