Our project details the development of a sound recognition algorithm used for detecting errors in automated pipetting to insure continues quality control. The system was developed in cooperation with TechVolver Aps, where we tested the algorithm throughout the development process. By making sound signatures of a pipetting process, meaning a range of amplitude and frequency in which the pipetting normally...

The project covers the topic of automatic sorting, and in order to showcase this in a useful real-world application we have chosen to direct our attention towards building a self-sorting recycling bin that can help solve the problem of waste-pollution. Here the idea is to use a Machine Learning algorithm analyzing sound in order to distinguish and thereby sort waste...