With the development of society, basketball has been deeply loved by people all over the world. Meanwhile, basketball has become one of the most watched events in the world. In order to adapt to the development of basketball and make people better understand the laws of basketball, this paper aims to study the application of embedded intelligent object detection system in basketball sports test and use the embedded intelligent object detection system to separate basketball sports. Compared with the general computer processing system, the embedded system has great differences. It cannot realize the large-capacity storage function because there is no matching large-capacity medium. Strengthen the learning of basketball theoretical knowledge through learning rules. Firstly, the research background of basketball and the research significance of moving target detection are introduced, and the embedded Linus operating system is introduced, including hardware design and software design. Then, four moving target detection algorithms are proposed. Object detection, also called object extraction, is an image segmentation based on the geometric and statistical features of objects, and its accuracy and real-time performance are an important capability of the entire system. Experiments show that when using the YCrCb domain detection algorithm, the average time-consuming is 292 ms, and the conversion frame rate is about 3.5fps. The YCrCb domain detection algorithm has good detection effect and high efficiency.