This paper describes convolutional models for event analysis in the image sequences. Work describes various architectures suitable for recognizing actions and events. Particularly in this paper is shown a way of resolving a problem of reading from the lips, where the images of human faces with focus on the lips, are transmitted through various convoluational models in various forms to explore the most appropriate method for such a problem that could be applied in many areas of human work as helping people with auditory difficulties, analyzing video footage in security measures, creating audio pronunciation and more. The data for learning such models are videos of television reporters speaking. All models are based on two main architectures, VGG-16 VGG-16. There is also four main models based on those architecutres, EF and EF-3 are early fusion models where point is fuse sequence of images on the beggining and then learn the model, and MT and MT-3 models which first learning individual images passing each image trough a separate tower, and then fusing them and learning their actions. The results of the models were presented and a conclusion was drawn that the method of the multiple towers was better then the early fusion. For the conclusion, this work describes how it is possible to solve the problem of reading from the lips and how those models and systems works with firm precision.