Aim: To Enhance the Accuracy of Emotion Recognition System by novel detection using Novel Convolutional Neural networks over Artificial Neural networks. Materials and Methods: This study contains 2 groups: A novel convolutional neural network and Artificial Neural Network. Each group consists of a sample size of 10 and the study parameters using G-power setting parameters: (α = 0.05 and power = 0.75) and the power value is 0.8. Their accuracies are compared with each other using different sample sizes also and a significance value of 0.881 (p>0.05). Results: The Novel convolutional neural network is 98.85% more accurate than the Artificial Neural Network of 87.45% in the Emotion Recognition System. Conclusion: The CNN model is significantly better than the ANN in identifying Emotions.