A vision sensing system for CO2 laser cutting is designed. By detecting the images of the sparks jet, the relationship between sparks behavior and optimal cutting speed has been investigated. The characteristic signal under different laser power and slab thickness has been obtained. On the given condition, the optimal cutting speed corresponds to the vertical jet angle, the highest outlet brightness and the maximum pixels of different gray scales.