Journal of Intelligent Computing Bin Xie, Fuye Zhang 15 4 2024 https://doi.org/10.6025/jic/2024/15/4/119-126 https://www.dline.info/jic/fulltext/v15n4/jicv15n4_1.pdf This paper researches and designs a new method to assist volleyball players in better mastering skills. We first collected a color image, analyzed it, and applied histogram equalization for image enhancement. Ultimately, we successfully identified the image of a frontal spike using this method and employed the artificial bee colony algorithm to optimize its contour and trajectory, thus performing better in games. Through this experiment, we found that this method can effectively gather accurate frontal spike images, and by using histogram techniques, its signalto- noise ratio was maximized. Simultaneously, it can capture the volleyball’s edge contour, achieving a high tracking accuracy.