Human Detection for Search-and-Rescue Operations by using Infrared Camera Module

This paper reports on the design of an infrared camera module for human detection in search-and-rescue missions, specifically after earthquakes. The camera module employs advanced computer vision techniques, combining YOLOv8 with CNNs for pre- processing. The pre-processing stage involves the enhancement of thermal images through noise reduction and contrast improvement to ensure the reliable detection of humans under adverse conditions, such as low visibility and occlusion. The system was tested in simulated debris environments using a Hexapod robot and exhibited high accuracy and robust performance. The results are a testament to the camera module's potential in assisting with fast and efficient rescue operations