Abstract: How to detect the fire source efficiently and accurately locate it is an important prerequisite for effectively controlling the deterioration of fire situation and making fire control plan in time. At present, the main problem faced by fire source detection and location is that the dual tasks of fire source detection and location are separated from each other, which seriously restricts the real-time performance of fire early warning. To overcome the above problems, YOLO V5 is proposed as the basic model of fire source detection, and CIOU (Complete intersection over union) loss function is used to accurately frame anchor (anchor-boxes) and GT (Ground Truth) to further improve the annotation accuracy of the model. The leaky RELU activation function is replaced by GELU (Gaussian Error Linear Unit), which combines regularization and activation function. In addition, while accurately detecting the fire source, the parallel binocular location algorithm is used to locate the fire source in space, to realize the intelligent integration of fire source detection and location. The experimental results show that the fire source detection map value of the proposed method is 9.8% higher than the original algorithm, which can accurately locate the fire source while ensuring the accuracy of fire source detection.