How AI Camera Traps are Protecting Gabon Wildlife from Poachers

AI-powered camera traps can be used to do more than document and monitor animals. They are also useful in protecting wildlife from poachers like the one in Gabon, Central Africa.

Protecting Biodiversity Riches is Essential

Congo and Congo Basin are home to incredible biodiversity. There are approximately 400 species of mammals in Congo and over 1,000 species of birds in Congo Basin. 80% of Gabon’s forest reserve is the largest of all African countries, according to Appsilon.

These endangered species include elephants, bonobos and lowland gorillas. They are the main focus of the country’s “Green Gabon” movement. With the help of satellite imagery and camera traps on ground, it aims to preserve wildlife while developing sustainable logging.

Use AI Camera Traps to Monitor Live

Researchers from the University of Stirling, UK, have developed a new type of camera trap to help preserve Gabon’s biodiversity. The new AI-based camera traps can capture and analyze data immediately and upload the results to the cloud, unlike traditional monitoring systems that can collect data for months.

Robin Whytock, who has been working in Gabon since 2018, leads the team that created new camera traps using AI. These traps use AI to detect species and track them, and then send the information to the cloud. New Scientist. The AI analyses multiple photos and automatically detects the species for easy tracking. This is a tedious task that was previously done manually, often many months later.

The AI camera system can detect poaching threats earlier than it is too late, thanks to its speed. The team trained the algorithm to detect someone holding a gun. This information could be used by Gabon and other agencies to inform their anti poaching efforts.

Graeme Green, a journalist and photographer, also noted that AI systems can help protect biodiversity around the world by tracking water loss and finding whales.

Whytock and others have created a case study to review real-time alerts from AI camera traps that use the Iridium satellite system. This system can capture a median of 17.23 images per hour and can run for at least three months without human intervention. However, the team expects that there will be “significant advances in this field in the next five years.”

An AI-based camera trap system such as this could be used for wildlife tourism, real time biodiversity monitoring, wild resources management, and detection of illegal human activity in protected areas.