Researchers from the University of Sydney and QUT have introduced LAARMA, an AI-powered system designed to prevent animal-vehicle collisions in Australia, achieving a 97% accuracy rate in detecting cassowaries. The system activates roadside warning signs, reducing vehicle speeds by 6.3 km/h. Dr. Kunming Li states, "The system teaches itself to get better," signifying its self-evolving nature. With the code available on GitHub, the technology aims to protect endangered species globally, indicating significant advancements in wildlife safety.
Researchers from the University of Sydney and QUT have introduced LAARMA, an AI-powered system designed to prevent animal-vehicle collisions in Australia, achieving a 97% accuracy rate in detecting cassowaries. The system activates roadside warning signs, reducing vehicle speeds by 6.3 km/h. Dr. Kunming Li states, "The system teaches itself to get better," signifying its self-evolving nature. With the code available on GitHub, the technology aims to protect endangered species globally, indicating significant advancements in wildlife safety.