IR Building Analysis with Extraction of Elements Using Image Segmentation and RetinaNet
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 temperature variations on the surfaces of building elements due to radiated heat. When coupled with heat loss calculations, thermal imaging offers a comprehensive and cost-effective solution to address thermal discomfort issues in buildings.
A groundbreaking article introduces a new methodology, utilizing advanced equipment and neural networks for precise thermal assessments of buildings. This innovative approach, focusing on classifying thermal characteristics in infrared recordings, differentiates specific elements using RetinaNet object detection. Unlike conventional methods, it allows targeted inspection of regions of interest, providing a nuanced understanding of potential issues.
Acknowledging uncertainties in measured IR radiation, researchers call for additional experiments to draw definitive conclusions on heat losses. The method’s applications extend to renewing older areas and optimizing building planning for residential zones. It enables outdoor inspections, employing advanced algorithms to detect regions with intensive heat losses. It paves the way for future research on refining analyses of complex building elements. This transformative methodology promises to reshape building inspections, contributing to sustainable and energy-efficient construction practices. To read more about this study you can use the link below.