Equipment Efficiency Beyond the Plant by Adapting Sound Based Machine Learning by BOSCH
Monday, May 11, 2020
We are aware, Digital Twin concept helps monitor the product and its performance while in use. Here is an effort to bring digital twin concept for vehicles specifically meant for farming. Tractors have accessories attached to them to perform tasks like, cutting, pesticide spraying, seeding etc., in the fields. An Android Application automatically turns-on and records the sound, when in field. An ensemble of Machine learning algorithms assess the sound and identify the tasks performed in the field, “real time”. The approach provides 95% accuracy in identifying the tasks on true data. The approach is different from the normal in that it takes only one data type and source – sound waves (compared to multiple sensors data, vehicle driving details etc.) and is able to analyse multiple aspects.