In an effort to reduce wildlife collisions on roads in Brazil, a project is using artificial intelligence technology. The Brazilian Center for Studies in Road Ecology (CBEE) reports that 475 million vertebrate animals die each year due to collisions with vehicles in the country. Species such as capybaras, armadillos, and opossums are among the most affected.
Gabriel Souto Ferrante, a student at the University of Sao Paulo, has been working on a system based on computer vision to detect species and alert drivers of their presence on the road. The project is in collaboration with the Institute of Mathematical and Computer Sciences at USP and aims to protect endangered animals such as pumas, giant anteaters, tapirs, maned wolves, and jaguarundis.
To implement this technology effectively, support from companies that manage roads is essential. Access to cameras along routes and safety equipment will enable real-time alerts to drivers and road management companies. Additionally, the technology could improve safety for humans who are also at risk of accidents caused by animal crossings.
Ecological corridors and green bridges have been implemented in Brazil to reduce the impact of habitat fragmentation caused by roads. However, these measures are insufficient given the country’s vast size. Traditional road signs warning of animal presence have limited effect on driver behavior. More extensive efforts are needed to protect wildlife and ensure safe movement for both animals and humans.
The Urubú System, a citizen science social network created by CBEE coordinator Alex Bager, has played a significant role in collecting data on wildlife roadkill in Brazil. This information has helped create public policies and legislation to protect animals. Despite financial challenges, efforts are ongoing to reactivate the platform and address the growing issue of roadkill in the country.
