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In Australia, the world's first intelligent system, LAARMA, designed to prevent collisions between vehicles and wild animals, has been successfully tested. The development showed a 97% detection accuracy and has already helped preserve the population of rare, flightless birds—cassowaries—in Queensland.

The system operates based on a network of sensors, including cameras, thermal imagers, and lidar scanners, which constantly monitor the area near the road. The data is processed by a self-learning algorithm that recognizes animals and instantly sends a warning to dynamic road signs for drivers. During the five-month testing period, the system registered 287 instances of cassowaries appearing and managed to reduce the average vehicle speed by 6.3 km/h.

The developers note that LAARMA is especially important for protecting endangered species. They plan to adapt the technology for different animals and make it open-source so that environmentalists around the world can use it to protect species such as red pandas and snow leopards. According to experts, this solution sets a new standard for the harmonious coexistence of wildlife and transport infrastructure.

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