Tecnología en Sistemas de Información
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Item Inspector de Calidad en un Proceso de Producción(Universidad Santiago de Cali, 2022-11-08) Pianda, Andres Esteban; Rodriguez, Edwin Andres; Saza Montero, Jose David; Arboleda, Monica HellenThis article clearly shows how Artificial Intelligence and Data Science are of great help in the application of quality inspections in a production process, it can be shown that it is effective not only in the industrial area but also in other areas such as the commercial one. and administrative due to the large volume of data that can be obtained from the execution of each process, this input resulting in the resolution of the problems presented in said processes. Using the most important branches such as Machine Learning and Deep Learning that serve to automate repetitive and tedious tasks for the human brain such as the calculation of equations, the classification of results, the comparison of data among others, through automatic learning systems based on neural networks , an image classification problem is addressed using the Python programming language and libraries such as TensorFlow or OpenCV, which are among the most popular open source for machine learning. In particular, the aluminum yogurt lids technically known as Foil Yogurt Lids are taken as a reference for the production processes. Through quality inspections, defects such as: detached lids, wrinkled lids, broken lids and other failures can be found. Generating thus, many economic and time losses. This point is necessary to propose a trained model that through classification, detection and segmentation of images helps us to predict the classes that we need for their respective correction.