A next-generation Internet gaming/gambling company asked our team to develop for them an innovation vision application that can track and identify objects in real time. Our task was to create an application that detects and recognizes cards in the casino on the basis of the video attained in streaming video from the securities cameras. This technical challenge was resolved by the automated object detection algorithm, also applying convolutional neural network training.Technologies: c ++ / cafee / Qt
