Intelligent appliances and other smart devices around the home have gained popularity in recent years. Most of these are equipped with sensors but only using very primitive algorithms and logic. Machine learning can further increase the usability and functionality of these devices, making our daily lives more convenient.
- Minor differences in the hardware setup and environment, such as mounting the sensors on a different surface material/location or the ambient temperature, can affect the accuracy of a machine learning model. For best performance, each individual machine needs to be equipped with a unique model that is periodically updated and improved.
- With an intuitive UI, Qeexo AutoML allows for onsite data collection, automated model development, and swift library deployment so users can find the best model for each unique use case quickly and efficiently.