Adaptive Fire System: Leveraging Image Analysis and Multi-Deep Learning Approaches for Dynamic Classification and Quality Assessment
A new methodology that integrates image analysis with multi-deep models such as ResNet50, MobileNetV2, and lightweight deep learning models for accurate fire classification and quality assessment is proposed, providing a reliable and efficient way for fire classification and quality evaluation.