The development of technology and the popularization of AI (artificial intelligence), face recognition has become fundamental by various applications, both in military and economic appearance because it is gradually being introduced into the lives of individuals, exemplifying, in the use of face recognition for unlocking mobile phones. Starting in the 1990s, they began to learn age identification by means of a face photo, it should be said that the recognition of the old face is quite challenging within the environment of the perspective by PC. This article is made in order to be used in marketing, as it could be given differentiated products according to the age of consumers; for this purpose we have used public databases to classify by age the images of faces of both men and women, thanks to a model of Convolutional Neural Network (CNN), with which we obtained an efficiency in the categorization of around 97.86%, we also performed prediction tests in which the silver model obtained an approximate success rate of 87.64%. Keywords— Convolutional Neural Network, age classification, mathematical model, artificial intelligence, CNN.

COVID-19 does not show signs of having disappeared, being a very contagious disease, the WHO recommended limiting the free movement of people, since from its appearance until May 1st, 2021, it caused the death of more than 3.2 million of people around the world. In Peru, it economically affected those people who generated income every day to survive, for this reason some activities were reactivated complying with the biosafety measures that are the use of mandatory mask and social distancing (more than 1 meter). Taking body temperature with an infrared thermometer is an optional measure, generating rejection by specialists, indicating that there is little evidence of its sensitivity and specificity and of its doubtful ability to detect fever. In view of this problem, this article will implement a thermal image processing system to detect possible cases of patients with COVID-19, in such a way that the system performs a more accurate measurement of body temperature, and it can be implemented in any place where such measurement is intended, helping to combat the spread of the virus that currently continues to affect many people. The system has a more accurate measurement of body temperature with an efficiency of 95% at 1 meter between the drone and the person, in such a way that if it presents a body temperature higher than 40°C it could be infected with COVID-19

The increase in knowledge of programming languages is increasingly high due to current business and educational demands, in many cases it has been reflected that advanced knowledge of a programming language for careers in natural sciences and engineering have improved the possibility of getting a decent job with a good working environment. Many universities propose programming courses on a large scale and in a general way so that the student can investigate and deepen the topics, but when the course is carried out without any structure or interface with which the students present a great interest in it, they tend to fail or regularly make basic schedules to only pass the course. That is why a graphical interface system is proposed to improve the teaching of the Python language due to its various functionalities and improve the interest of image processing. Obtaining as results that, of the 100 students and teachers within the branch of natural sciences and engineering, using 9 indicators of satisfaction an average of 6 thus indicating that the graphic interface does help in the process of learning and interaction of the person did the programming and processing of images. It is concluded that the use of graphical interfaces for any type of teaching is quite useful due to the simulation mode that all these have, thus improving the level of interaction of the student and the possibilities of tests that can be carried out before the implementation or design in real. Keywords— GUI, Python, graphical interface, PyQt, artificial intelligence.

In December 2019, a series of cases of pneumonia caused by SARS-CoV-2 were identified in Wuhan (China), which was declared by the WHO as a pandemic on March 11th , 2020, because it caused enormous problems for the global public health due to its rapid expansion. In Peru it was only on March 6th , 2020, that the first case of COVID-19 was reported, therefore, the government took some measures to control the spread of the virus. A biosafety measure that is frequently used is taking the temperature with an infrared thermometer, which is not well seen by some specialists due to the error it has, therefore, it would not represent a safe measurement, as other measurement systems do. . In view of this problem, in this article a thermal image processing system was carried out to detect possible cases of patients with COVID-19, in such a way that the system performs a more accurate measurement of body temperature and can be implemented in any place, where this measurement is intended to be carried out, helping to combat the spread of the virus that currently continues to affect many people. Through the development of the system, tests were conducted with various people, obtaining a more accurate measurement of body temperature with an efficiency of 95% at 1 m between the drone and the person, in such a way that if it presents a body temperature above 37°C could be infected with COVID-19. Keywords-- Thermal camera, COVID-19, Drone, MATLAB, WHO, Image processing