The image analysis is a subject on which much emphasis is being given with purpose of identifying parameters, data, visual features in the image that provide us information about environment, it is represented in the image, but without the intervention of a person. Many methods have been developed with passing of the years, each seeking to minimize the error. The vast majority of implementations of these Facial Recognition Systems have been in a computer and a few have been implemented on hardware. This paper presents a Face Recognition System based on FPGA, The FPGA is configured with the language VHDL, this system is independent of a computer, this will give the system based on FPGA three main advantages, which include fast processing thanks to the ability of the FPGA that can perform parallel processes, and the other two advantages are the size and weight that are important to have mo...

The growing visibility of violence in schools has caused multiple demands to know their condition in our societies. Given this, the conceptual, analytical and methodological challenges faced between those engaged in their empirical research are evident. However, many of those who face these challenges do not analyze the parallel processes that are configured as the research progresses. This is the case of changes about the role of students in this collective effort. The objective of this document is to analyze the advances and dilemmas of the empirical research on violence in Mexico, focusing on the implications derived from the legitimization of the voices of children and adolescents. This analysis based on the specialized literature on school violence and the voices of students, warns that although studies that conceive these populations as individuals capable of providing data on this...

Abstract — In this project, a design for an automated mechanism is presented for implementation in textile manufacturing processes, where an integrated system for textile fiber recognition based on artificial intelligence (AI) was added. The mechanical design of the machine was studied in terms of force, providing a robust and efficient structure that supports the integration of sensors and cameras for real - time image capture of the processed fibers. Additionally, this design included a precise feeding system and a transport mechanism that ensured the stability and correct positioning of the fibers during analysis. In parallel, an AI model was implemented to identify and classify textile fibers based on their color characteristics. A simulated dataset was generated , where each type of fiber was represented by a specific color (red, green, blue, yellow), and a simple neural network w...