Embedded real-time camouflage target detection system based on improved YOLO

The invention relates to the field of artificial intelligence, in particular to a camouflage target embedded real-time detection system based on improved YOLOv5. The invention provides a camouflage target embedded real-time detection system based on improved YOLOv5. A hardware system comprises an image acquisition unit, an embedded control unit and an image display unit. A software system provides a camouflage target detection algorithm based on multiple detection layers and adaptive weights based on a YOLOv5 algorithm, a low-resolution detection layer is added to a prediction head, an attention mechanism is fused in a feature extraction backbone, and the camouflage target detection effect is improved by means of multi-scale training, Mosaic data enhancement and the like. A QT interface is compiled by using a python compiling language and is implemented in a Linux system, a neural network model is deployed in an embedded system, ground target information is acquired through an image acquisition unit in a hard