Monografia_Cont_Automação
URI permanente para esta coleçãohttps://ri.ifam.edu.br/handle/4321/972
Navegar
7 resultados
Resultados da Pesquisa
Item Uso de visão computacional para detecção de quedas em tempo real(2025-01-07) Chung, Minjae Lins; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Rodrigues, Marlos André Silva; http://lattes.cnpq.br/0650250324042531; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467The aging of the global population brings numerous challenges, both for society as a whole and on a personal/family level. Families face the dilemma of protecting elderly family members without compromising their autonomy and independence during this vulnerable phase of their lives. Along with the physical and psychological changes involved in the natural aging process, domestic accidents, particularly falls, become common events for most of the elderly population. In this context, a fall detection system was presented, employing pose recognition (poseNet) and action recognition (actionNet) technologies, capable of automatically sending alerts to relatives or caregivers. The results demonstrated an accuracy of 82.5% in the proposed model, with near-instantaneous time between alert delivery and receivement. Thus, the system proved to be efficient, meeting the outlined objectives and serving as a foundation for future projects.Item Uso de redes neurais para classificação de resíduos sólidos(2024-11-26) Maciel, Kainy Medeiros; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Rodrigues, Marlos André Silva Rodrigues; http://lattes.cnpq.br/0650250324042531; Nascimento, José Fábio de Lima; ttp://lattes.cnpq.br/0056522906128231; Alencar, Sérgio Costa Martins de; http://lattes.cnpq.br/7936103793279068Item Análise comparativa de algoritmos de reconhecimento facial(2023-02-17) Ricardo, Misael Marques; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Costa, Jaidson Brandão da; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143THE PURPOSE OF THIS PAPER IS TO CARRY OUT A STUDY ON THE OPERATION OF FACE RECOGNITION ALGORITHMS DESCRIBED IN THE LITERATURE. THREE OF THE FACIAL RECOGNITION ALGORITHMS DESCRIBED IN THE LITERATURE WERE USED AND A TEST SET IS PROPOSED IN ORDER TO EVALUATE THE RESULT AND VERIFY THE POSSIBILITY OF USING THE ALGORITHM IN AN ACCESS CONTROL SYSTEM TO PHYSICAL SPACES. THE EIGENFACES, FISHERFACES AND LBPH ALGORITHMS WERE USED. TO THE TESTS THREE DATABASES WERE USED: THE FIRST WAS CONSTITUTED WITH PHOTOS OF THE AUTHOR AND HIS FAMILY, THE SECOND WAS THE DATABASE OF PEOPLE WITH AND WITHOUT MASKS AND LASTLY THE DATABASE CONSISTED OF PEOPLE WITH AND WITHOUT GLASSES AND THE RESULTS THE ACCURACY OF RECOGNITION WERE REPORTED AND PRESENTED IN THIS PAPER.Item Detecção de defeitos em placas de circuito impresso aplicando visão computacional(2023-02-17) Monteiro, Lucas Paiva; Santos, Alyson de Jesus dos; Santos, Alyson de Jesus dos; Costa, Jaidson Brandão da; http://lattes.cnpq.br/4553321582341998; Compto, Gabriel Pinheiro; http://lattes.cnpq.br/5432787843953143This work consists of the development of a vision system capable of identifying faults in printed circuit boards. The system consists of a 2MP high-speed camera, a camera controller to receive the image and apply computational vision tools, a PLC to process camera information and an HMI to serve as an interface for the test operator, allowing a monitoring of results and control of the camera trigger and reset of post-shift information. The vision system is composed of the camera and the controller and works applying computer vision tools, in this work we use a self-learning pattern identification tool that allowed us to obtain a higher quality degree in the test results from a group of images.Item Desenvolvimento de um sistema inteligente OCR utilizando visão computacional para leitura de etiquetas de roteador(2022-09-29) Xavier, Giovane Taveira de Souza; Santos, Alyson de Jesus dos; Santos, Alyson de Jesus dos; Compto, Gabriel Pinheiro; Costa, Jaidson BrandãoThis final paper consists of the development of an intelligent OCR system using computer vision to read router labels, to extract information to be inserted into programs that perform router tests. The system uses a Raspberry Pi 4 as the system's processing center, coupled to it is a Logitech C270 webcam, responsible for capturing the images of the labels. The vision system uses OpenCV to process the image so that the OCR algorithm extracts the text from the image, after which the program stores and displays this information on screens simulating the test software.Item Desenvolvimento de um sistema de inspeção de componentes utilizando técnicas de visão computacional(2022-04-29) Prado, Wendel da Costa; Reis, Ailton Gonçalves; Reis, Ailton Gonçalves; Queiroga, Alberto Luis Fernandes; Santos, Alysson Jesus dosThis course conclusion paper (CCP) aims to present a system that, through Computer Vision, can identify the presence of electronic components on electronic boards, without human intervention, and make decisions by triggering a panel that displays the localized error. Thus, to develop a system that can capture data such as perimeter, part area, position, color, using only one sensor, and from these characteristics the system will be able to show if a specific component is missing or if it is showing some type of failure, such as: absence of a terminal or displacement.Item Sistema de detecção de objeto personalizado utilizando inteligência artificial(2020-11-06) Marques, Lucas de Souza; Frota, Vitor Bremgartner da; Frota, Vitor Bremgartner da; Fernandes, Priscila Silva; Netto, José MagalhãesThis work aims to develop an automatic object verification system on a production line. Currently, there is a market for object detection that comprises values above R$ 100 thousand reais for the implementation of the same project. The project is based on being developed on a completely Open Source platform. The proposal consists of creating a low-cost Python language system that solves the problems of instantaneous line stops and field problems related to the lack of the object and make it portable to any computer. Due to the fast time of the line some boxes go unnoticed in the eyes of the operator and with the implemented system it is expected that all boxes are controlled and detect all manuals and take their own actions autonomously without the need for human intervention following the concept of industry 4.0. The developed system had quick responses (about 40 milliseconds) for the evaluation of each image and is already implemented in the factory.