In recent years, Artificial Intelligence technology has made remarkable breakthroughs in the field of image processing to significantly improve the performance of object recognition and detection algorithms, where this has created favorable conditions for the intelligentization of military optoelectronic equipment. The article begins by elucidating the three elements of Artificial Intelligence: algorithms, data, and computing capabilities. It then analyzes effective ways to quickly realize the intelligentization of military optoelectronic equipment and the problems that may be encountered in the process. The discussion shows that current technical theories meet the requirements of equipment upgrades. In the process of intelligentization, such issues as real-time algorithms, special datasets, and the deployment of low-power high-performance edge computing devices need to be considered. At the same time, practical problems persist in the relevant engineering such that personalized design is needed to bridge the gap between theory and application. Finally, the authors propose focusing on strengthening the standards and capabilities of localization for the independent control of key technologies.
解 博,王 欢*,曾利军,宣章健.现有军用光电装备快速智能化手段[J].国防科技,2021,42(3):77-82；XIE Bo, WANG Huan, ZENG Lijun, XUAN Zhangjian. Rapid intelligentization of military optoelectronic equipment[J]. National Defense Technology,2021,42(3):77-82复制