This AI app can tell which dinosaur made a footprint

2026-02-01 · Source: Robotics Research News -- ScienceDaily · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Fundamental Awareness, short

Summary

A new AI-powered app, DinoTracker, developed by Helmholtz-Zentrum research centre and the University of Edinburgh, analyzes photos or drawings of fossil footprints to identify the dinosaur species that made them. Trained on nearly 2,000 real fossil footprints and millions of simulated examples, the system recognizes eight key features like toe spread and heel position, achieving 90% accuracy compared to human experts. Unexpectedly, the AI detected striking bird-like similarities in footprints over 200 million years old, potentially pushing back the origin of birds. It also provided new insights into mysterious 170-million-year-old tracks on the Isle of Skye, suggesting they belong to early relatives of duck-billed dinosaurs. The technology aims to make paleontological research more accessible and unbiased.

Key takeaway

For paleontologists and researchers studying ancient life, DinoTracker offers an unbiased, data-driven method to classify dinosaur footprints, potentially resolving long-standing debates and accelerating discoveries. You should consider integrating such AI tools into fieldwork and research to gain new insights into dinosaur behavior and evolutionary timelines, especially for challenging or ambiguous trackways.

Key insights

AI can accurately classify dinosaur footprints, potentially revealing earlier bird origins and new dinosaur relatives.

Principles

• AI can identify subtle variations in fossil tracks.
• Simulated data enhances AI training for geological features.

Method

The DinoTracker app uses advanced algorithms trained on real and simulated fossil footprints to recognize eight key features, then compares new tracks to known examples for classification.

In practice

• Upload footprint photos for instant dinosaur identification.
• Use AI to analyze controversial fossil track specimens.

Topics

• Dinosaur Footprint Analysis
• AI in Paleontology
• Machine Learning Algorithms
• Avian Evolution
• Trace Fossil Identification

Best for: AI Scientist, AI Researcher, Research Scientist, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by Robotics Research News -- ScienceDaily.