Fangqiang Li, a second-year master's student in the group, published a paper as the first author in a journal of the Chinese Academy of Sciences (CAS) Region III under the guidance of Mr Lu Hailin. In micro-arc oxidation (MAO), the discharge spark characteristics have a significant effect on the oxide film, but it is difficult to be analysed accurately by traditional methods. We propose the MO-DETR model, which effectively handles multi-scale features, reduces complexity and improves speed. On MO-Dataset, MO-DETR achieves an average accuracy of 92.1% and a processing speed of 135.9 FPS.MO-DETR has high performance in terms of accuracy, parameter volume, computational demand, and speed, advancing the application and development of smart manufacturing and aerospace.Fangqiang Li 1, Hailin Lu 1, *, Shuangshuang Zhi 2, , Ziyue Zhao1, Li Zhou, Xiutao Bai, Guangshen Xu 1 and Yongdang Chen 1, 2, * Research on micro-arc oxidation discharge spark detection technology based on MO-DETR [J] Measurement Science and Technology (Impact Factor: 2.7, Chinese Academy of Sciences)