Abstract
Abstract: Indoor fire incidents pose significant challenges to first responders, often due to the presence of smoke and haze, which severely limit visibility. Delays in response times and increased risks to both responders and victims are common consequences. To address this critical issue, the "Smoke-Eye" project introduces an AI-ML based de-smoking/de-hazing system designed to enhance visibility during indoor fire hazards. The primary objectives of "Smoke-Eye" include the development of a smoke and haze detection module, the implementation of advanced image dehazing algorithms, and the optimization of video processing.
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