Improved method for small target detection based on infrared sensing images and wearable IoT

Under the background of the rapid development of modern remote sensing technology and Internet of Things (IoT), infrared sensing image has shown important application value in small target detection because of its unique detection ability. This paper aims to propose an improved small target detection method based on infrared sensing image and wearable Internet of Things to improve the accuracy and efficiency of detection. By reviewing relevant research, this paper analyzes the basic principles of remote sensing image detection and wearable IoT technology, focusing on key technologies such as IoT input image processing, attention mechanism in remote sensing image recognition, and multi-sensor data fusion algorithm. On this basis, a whole small target detection scheme is designed, the system structure is constructed, and adaptive regression loss function and improved algorithm are introduced to enhance the performance of the detection model. In the experimental phase, the small target detection system is tested comprehensively, and the detection accuracy of the system and the results of data set ablation experiment are analyzed. The results show that the improved detection algorithm has significantly improved the detection accuracy of small targets compared with the traditional methods, which verifies the effectiveness of the proposed scheme.