AI cuts wildlife tracking time from months to days

https://www.eurekalert.org/news-releases/1127123

Publish Date: 2026-05-07 00:34:00

Source Domain: www.eurekalert.org

Speed of AI vs. Humans: Artificial intelligence (AI) drastically reduces the time needed to process wildlife camera trap images, cutting the analysis time from months to just days compared to the several months or even a year needed by human experts.
AI Accuracy: AI models, notably SpeciesNet developed by Google, closely matched the scientific conclusions drawn by human experts. Results aligned in 85-90% of cases across key measures like animal presence and environmental factors.
Implications for Conservation: Faster data processing through AI could allow wildlife managers and researchers to make quicker decisions, which is crucial for species monitoring and conservation, including jaguars, wolves, and grizzly bears.
Reduction of Manual Review: The study found that AI can largely eliminate the final human review step in image analysis processes, maintaining the integrity of the data with overall robustness even in cases of AI errors.
Efficiency Gains: With automated AI processing, projects that once took six months to a year can now be completed in about a week, significantly improving efficiency.
Accessibility and Expansion: The time savings mean smaller or underfunded conservation groups have more capacity to monitor wildlife and could expand their efforts without bottlenecks.
Public Dataset Contribution: The project supports the broader AI-for-conservation community by making a part of the dataset publicly available, helping to improve and validate tools like SpeciesNet.
Limitations: While effective for many common species, AI still has limitations for very rare or easily confused species, and human review remains necessary for other applications.