Resumen: This bachelor thesis provides a first step towards Hardware-less DJing, simulating a controller by mapping it to image coordinates obtained from a camera feed. Coloured gloves are used to perform image analysis, as it is far easier to accomplish a good result with bright colours as opposed to skin, by using a HSV filter and morphological operations. Subsequently, contours and regions are later recognized for the fingers. As the real-time component of the system is important, gesture recognition is performed electrically by the use of an Arduino UNO board, therefore skipping the need to train a visual model to recognize certain gestures. A MIDI loopback and MIDI messages are used to connect the application to the DJing software. The main goal is to provide the same interactions a DJ is already used to, as to not require changing the muscle memory they have acquired by using normal controllers.