Campus Manaus Centro

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Entre avanços, construções e desafios: aplicação da inteligência artificial na Engenharia Civil
(2025-09-04) Silva, Felipe Cavalcante da; Aguiar, Cristiane Pereira de
Artificial intelligence (AI) in civil engineering has revolutionized the sector, optimizing processes, reducing costs, and increasing efficiency. The application of AI covers several areas, such as predictive modeling, project automation, and construction monitoring. In planning and design, machine learning algorithms analyze large volumes of data to create more efficient and sustainable structural models. AI-based software assists in creating optimized designs, considering factors such as materials, environmental impact, and cost-benefit. In construction, automation and robotics, driven by AI, improve precision and safety. Drones and sensors monitor construction sites in real time, identifying structural flaws and preventing accidents. Additionally, AI systems can predict failures in existing infrastructures, enabling predictive maintenance and extending the lifespan of buildings. AI is also applied in project management, optimizing schedules and resource allocation. With predictive analysis, companies can avoid delays and waste, increasing productivity. In the future, it is expected that AI will continue transforming civil engineering by integrating with technologies such as BIM (Building Information Modeling) and IoT (Internet of Things), making constructions smarter, more sustainable, and safer.
Aplicação de YOlOv8 e marcadores ArUco para reconhecimento e medição de parafusos
(2025-01-28) Santos, Williams da Conceição dos; Fialho, Michaella Socorro Bruce; Farias, Nei Junior da Silva
This study addresses the integration of YOLOv8 and ArUco Markers to improve screw detection and measurement. The main objective is to develop a solution that will allow the identification and measurement of screws accurately using computer vision. The methodology involves using a webcam to capture images, where the YOLO algorithm performs object detection, and ArUco Markers are used to calculate screw dimensions. The system was implemented to capture and save images of objects, in addition to recording measurements in a spreadsheet. The research was carried out in a controlled environment, focusing on systems integration. The results improved the system's efficiency in identifying and measuring screws in an automated and precise way, showing that the combination of computer vision techniques can increase the capacity of robotic systems in object manipulation and inspection tasks, being viable in industrial inspection processes. and quality control.
Inteligência Artificial na construção civil: benefícios, desafios e a importância do profissional na tomada de decisão
(2025-03-03) Barboza, Tereza Nazaré Ulloa; Aguiar, Cristiane Pereira de
The research explores the impact of Artificial Intelligence (AI) on decision-making in the construction industry, particularly in the use of programs for the preparation of architectural projects. Although AI offers several opportunities for resource optimization, scenario simulation, and process automation, it also presents challenges, such as the dependence on automated systems that can compromise the quality of technical work. The study seeks to investigate the potential benefits and risks associated with the implementation of AI in the sector, with a focus on the creation and management of architectural projects. The methodology adopted involved bibliographic research based on academic articles, books, and recent case studies, with a thematic analysis: identifying the programs that are classified as AI and how they affect today's civil engineering scenario, their challenges, and benefits. The results indicate that, although AI can improve efficiency and reduce costs, its application without technical supervision can generate misinterpretation and legal problems, especially when users do not have specialized training. The research concludes that, in order to maximize the benefits of AI, it is essential that construction professionals continue to act critically, supervising technological tools and ensuring that projects comply with local standards and requirements. Therefore, AI should be seen as a complementary tool, and not as a substitute for the technical knowledge of professionals in the sector.
Inteligência artificial aplicada em semáforo inteligente
(2024-08-21) Vale, Ládson Danley Aguiar; Santos, Alyson de Jesus dos; Frota, Vitor Bremgartner da; Silva, Daniel Nascimento e
Inteligência artificial e seu uso na publicidade
(2023-12-11) Lima, Lucas Camilo Viana; Lira, Wallace; http://lattes.cnpq.br/7834505234728150; Lira, Wallace; http://lattes.cnpq.br/7834505234728150; Arruda, Éverton Moura; http://lattes.cnpq.br/8458855239132157; Salgado, Andre Wilson Archer Pinto; http://lattes.cnpq.br/0197746640735395
We are living in the age of artificial intelligence. The use and popularization of resources that use generative AI has innovated several work sectors with numerous applications, including in the advertising market. The use of this new technology is capable of creating previously unimaginable scenarios. From this perspective, the objective of this monograph is to expose the possibilities resulting from AI, analyzing the way in which it can be used in the advertising sector.

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