AI-Enhanced Fossil Identification and Efficiency Optimization
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Project scope
Categories
Artificial intelligence Data analysis Data science Machine learningSkills
material handling operational efficiency real world data artificial intelligence machine learning excavation data analysis research geology workflow managementLUCENTARA / Dinosty Fossils is seeking to enhance its fossil detection capabilities and streamline its excavation processes through the integration of artificial intelligence. The primary challenge is to develop a strategy that leverages AI to accurately identify fossils within excavation sites while simultaneously reducing the amount of overburden—unnecessary material that must be removed to access fossils. This project aims to apply machine learning techniques to analyze geological data and improve the precision of fossil detection. By doing so, the company hopes to increase operational efficiency and reduce costs associated with manual labor and material handling. The project will involve creating a prototype AI model that can be tested and refined based on real-world data provided by LUCENTARA / Dinosty Fossils.
Key tasks include:
- Researching existing AI models applicable to geological data analysis.
- Developing a prototype AI model for fossil detection.
- Testing the model with sample data to evaluate its accuracy and efficiency.
- Proposing strategies for integrating the AI model into existing workflows.
The project will culminate in several key deliverables:
- A detailed report outlining the research findings and proposed AI model.
- A working prototype of the AI model capable of identifying fossils and reducing overburden.
- A presentation to LUCENTARA / Dinosty Fossils summarizing the project outcomes and recommendations for implementation.
- Documentation detailing the methodology, data sources, and potential improvements for future iterations.
Providing specialized knowledge in the project subject area, with industry context.
Sharing knowledge in specific technical skills, techniques, methodologies required for the project.
Direct involvement in project tasks, offering guidance, and demonstrating techniques.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
About the company
Lucentara
Science | Technology | Innovation
Lucentara is a Canadian science and innovation company dedicated to advancing the study and application of ammolite and other natural materials. Founded by Caitlin Furby and Mark Turner, Lucentara operates at the intersection of geology, materials science, and design — exploring how nature’s rarest formations can inspire modern advancements in technology and sustainability.
Through ongoing research partnerships and applied experimentation, Lucentara develops cutting-edge methods for fossil preservation, laser restoration, and structural color analysis. Every discovery contributes to the deeper understanding of ammolite’s optical and geological properties, positioning Lucentara as a pioneer in natural photonics and gemstone science.
Lucentara represents the future of Canadian innovation — where art, science, and nature converge.
Dinosty Fossils
Mining | Restoration | Heritage
Dinosty Fossils is the foundation of Alberta’s ammolite industry — a mining and restoration company co-founded by Mark Turner and Caitlin Furby, specializing in the ethical extraction and preparation of ammonite fossils and gem-grade ammolite from the Bearpaw Formation.
Operating across more than 1,200 hectares of mineable land in Southern Alberta, Dinosty Fossils combines traditional field expertise with modern restoration technology to bring prehistoric treasures back to life. Every specimen is meticulously excavated, stabilized, and restored by hand, honoring both its geological origin and its natural artistry.
Through Dinosty Fossils, Furby and Turner have built one of Canada’s most respected fossil operations — supplying collectors, museums, and jewelers worldwide while preserving the integrity and story of each discovery.
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