Bionic-Eye Technology for Intelligent Weapon Equipment: Enhancing Automatic Target Recognition and Precision Aiming in Complex Environments

Abstract

With the continuous advancement of science and technology, battlefields are becoming increasingly unmanned, and unmanned and intelligent weapons are proliferating. These systems include weapon platforms that automatically identify and target objects and assist in aiming and firing. However, existing automatic target recognition and aiming systems still exhibit insufficient automation, limited effective recognition rates, and inadequate aiming accuracy, which restrict the operational deployment of automated shooting weapons. The main technical difficulties are twofold. First, target recognition accuracy is sensitive to field conditions, including weather and illumination, as well as to target number and distance, and is susceptible to complex-environment interference, resulting in false or missed detections. Second, during post-recognition aiming, system performance is affected by on-site environmental conditions and target motion, leading to substantial aiming errors and ineffective automatic aiming. Consequently, there is an urgent need to develop a method and system capable of automatic object identification and precise targeting while maintaining robustness to interfering factors. To address these technical problems, this paper proposes a bionic-eye technology for intelligent weapon equipment. The proposed approach is intended to provide a technical foundation for improving the environmental adaptability, recognition reliability, and aiming precision of intelligent weapon equipment.