This study has focus on making a model with high reliability to classify thermography videos in arc welding, for achieving high accuracy through series of steps that we did carefully. Indeed, the main goal is recognizing three different thermography classes by classifying thermography videos of arc welding which will be done by labeling the videos and then it needs to measure the accuracy that shows how much classification is correct. We started by thoroughly preparing and preprocessing the thermography video data. Custom scripts were developed to extract thermal frames and convert them into a format optimized for neural networks. The convolutional layers of our model (InceptionV3) are trained to identify a wide variety of features.