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An Initial Machine Learning-Based Victim's Scream Detection Analysis for Burning Sites
2021
Applied Sciences
Fire incidents are responsible for severe damage and thousands of deaths every year all over the world. Extreme temperatures, low visibility, toxic gases, and unknown locations of victims create difficulties and delays in rescue operations, escalating the risk of injury or death. It is time-critical to detect the victims trapped inside the burning sites for facilitating the rescue operations. This research work presents an audio-based automated system for victim detection in fire emergencies,
doi:10.3390/app11188425
fatcat:modpqxd5zfditaerh6stl2kr3u