Nowadays, many places use security cameras. When an incident occurs, this technology is only used a posteriori. So it can be considered more as a deterrence tool than as a detection tool. In this article, we will propose a deep learning approach in order to solve this issue. Our approach uses convolutional models (CNN) to extract relevant characteristics linked to the video images; these characteristics will form times series to be analyzed by LSTM / GRU models.