HAGEDL (Real time Hand Gesture Recognition based on Deep Learning): Hand gesture is one of the most natural and intuitive ways people use to communicate and express emotions. Adoption of hand gesture in Human Machine Interaction (HMI) promises to provide users with comfort and ease. We introduce in this paper a vision-based recognition system for static hand gestures. Our method utilizes YOLOv3, state of the art recognition deep neural network; therefore, it does not rely on complex image processing pipelines like many traditional systems. Experiments show that our framework is capable of processing full hd videos in realtime speed with high accuracy.