Aim: To perform an automated Lane Line Detection using Convolutional Neural Network over Long Short- Term Memory. Material and Methods: Automated Lane Line Detection performed using convolutional neural network (N=10) and long short term memory (N=10) with the split size of training and testing dataset 70% and 30% using Gpower setting parameters: α=0.05 and beta power=0.85) respectively. Results: (CNN) convolutional neural network (94%) as the better accuracy compared to long short term memory accuracy (78%) and attained the significance value 0.651 (Two-tailed, p>0.05). Conclusion: Convolutional Neural Network achieved significantly better classification than Long Short Term Memory for detecting Lane Line.