Intelligent People Flow Monitoring System in Indoor Environments Using YOLO and Cameras

Valdinei Rodrigues da Conceição, Aline Sena De Souza, Luiz Eduardo Nonato Dos Santos, Paulo Vinicius Rios Dos Anjos, Ryan Reis Oliveira, Glauco Estácio Gonçalves

DOI: 10.14209/sbrt.2024.1571037005

Evento: XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2024)

Keywords: Computer Vision YOLO Traffic analysis MQTT

Abstract

Monitoring people flow in indoor environments can help in the improvement of marketing strategies, the optimization of services, and is essential for access control and security in public places. This work addresses the implementation of an intelligent people monitoring system in commercial establishments. Using YOLO technology, the system aims to identify and count individuals in security camera footage. The proposed solution enables real-time detection and data transmission to an MQTT topic, easing the analysis of foot traffic in the monitored areas.

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