Mobile Application to Identify Non-perishable Products Using Machine Learning Techniques

A properly trained object detection system may be able to automate a large number of tasks that are performed on a daily basis. Among these activities we find the recognition of household products, such as food, which currently has not taken advantage of the benefits that machine learning can offer. Detecting inputs such as fruit can expand the knowledge we have of the pantry of our home, having such information at the right time and place can save the need to carry long lists of errands and worries of acquiring a duplicate product or forgetting it completely. This article presents a mobile application that handles a learning model trained by machine learning techniques so that the device is able to recognize the object that is focusing the device camera and check that it corresponds to one of the inputs given as input variables at the time of training.