Intelligent Detection Technology Based on the Big Data of the Alley-Oop Motion Trajectory

Intelligent detection technology is a new and advanced automatic micro-measurement system, which can conduct real-time position and trajectory analysis of the measured object, so as to realize the analysis of its state information and related parameters and other data source information and motion law. This paper analyzes the relevant data of the movement and applies the intelligent detection technology. This paper uses the experimental method and investigation method to analyze the application times of transmission and cutting cooperation, penetration cooperation, coordination and cover cooperation, and obtains the common cooperation methods of alley-oop, and finds that dunk is the point they often score. By analyzing the moving images stored and read in traditional two-dimensional videos, we can find that the images will change more and more over time. The performance of the YOLOv5s algorithm and its improved method is compared by using experimental tests. The experimental data show that the multi-target tracking accuracy of the YOLOv5s algorithm and the improved YOLOv5s algorithm is 97.06 and 97.23, respectively.