Monitory: sistemas de controle de tráfego de pessoas por reconhecimento de imagem

• Autor(a) principal: Rocha, Edison Candido da
• Data de Publicação: 2020
• Outros Autores: Brito, Lucas Soares de
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório do Centro Universitário Braz Cubas
• Texto Completo: https://repositorio.cruzeirodosul.edu.br/handle/123456789/3544
• topic: Reconhecimento facial; Análise de dados; Tráfego de pessoas; Aprendizado de máquina; Redes neurais; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

Attracting customers, avoiding theft, optimizing the store`s layout, reducing the queues at the cashiers and dealing with sales peak periods, these are some of the operational concerns of a store keeper. Analyzing people traffic through facial recognition will be the best solution for some business, once the companies are looking for new features and customer experiences for their marketing campaigns. The operational issue in accomplishing such task resides on the necessity of hiring competent people and on current manual resources, which may possibly hinder data acquisition, its analysis and even implying on data loss. Therefore, the above-mentioned issues will be treated through the application of machine learning techniques associated with the neural networks.