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Researchers are pioneering a cutting-edge approach to indoor thermal comfort using infrared imaging and explainable artificial intelligence (AI). Analyzing facial temperature data, this innovative method accurately predicts occupant comfort levels. Environmental and physiological parameters were meticulously collected in climatic chamber experiments using data loggers and infrared cameras. Researchers evaluated various machine learning models to identify …

Breaking New Ground in Thermal Comfort: Advancing Building Efficiency with Explainable AI Read More »

Thermal imaging inspections are a highly effective and non-intrusive approach to monitor and assess the condition of buildings. Utilizing a thermal imaging camera enables early detection of issues, allowing for timely correction before they escalate into more severe and costly problems. This method involves scanning the building with infrared light using a specialized camera, revealing …

IR Building Analysis with Extraction of Elements Using Image Segmentation and RetinaNet Read More »