Artificial vision module for food detection

Abstract

The development of this project consists of the application of two concepts: artificial vision and object detection, using OpenCV libraries for artificial vision and the Template matching object detection method for the detection of food products. The work shows that it is feasible to use food images as a comparison and search template in the readings obtained by a camera. In addition, with the help of an object registration module, the scope of the module can be expanded beyond exclusive food detection. The results of this project will serve as the basis for future machine learning projects whose benefits are innumerable due to the large number of applications they can have, such as the prevention of human contamination in sterile work environments, picking systems and the automation of industrial processes.