Target Detection System of Microrobot Based on YOLOv5 Algorithm

To enhance the detection precision of target detection for microrobots, a microrobot target detection system based on YOLOv5 was designed. Experiments were conducted using magnetic bodies with dimensions of 1mm and 3mm, as well as microrobots with dimensions of 2mm, as the detection training dataset. The detection results revealed that, for magnetic bodies of sizes 1mm and 3mm, and microrobots of size 2mm, the system achieved average detection accuracies of 95.7 % , 89.0%, and 94.5%, respectively. These results indicate that the system is capable of real-time detection and identification of microrobots, providing a solid foundation for precise recognition and localization of microrobots within biological organisms.