We present a faster and more efficient vision method for detecting objects in high-speed kart racing. We developed an approach to handle blurred images and limited computing power by simplifying the model, enhancing training with realistic motion effects, and carefully removing unnecessary components. Tests show that the method is more accurate, significantly smaller, and runs faster than existing solutions, making it suitable for real-time use on smartphones and other portable devices.