Improving the selection of IQF raspberries in processing lines: a Virtual Reality approach for training and selecting personnel

The global agro-industry represents one of the fastest growing industries in the automation of process plants. However, there are some processes that still are done by hand in the process line. In this context, the IQF berries selection for exportation faces different problems related to the performance and the quality selection in the production lines. These problems happen mainly because the personnel is training on the go, generating a reduction of 15% of the production and an error of classification of 10%. Using virtual reality technology as a tool for generating immersive experiences, we design and develop a serious game prototype for the training of personnel for the correct classification of IQF raspberries in a process line. In this work, we will describe the process, as well as the architecture, models, and technology used during the development of the software with a local company.