Rancang Bangun Sistem Monitoring Aktivitas Kedatangan dan Kepergian pada Ruangan Pusat Data dengan Menggunakan Algoritma Yolo V5 dan Deepsort Berbasis Internet of Things (IoT)

Abstract

In today's digital era, the data center room has a very important role and must be protected to the maximum, both physically and non-physically. This is because the data center serves as a storage place for information technology (IT) devices, ranging from servers to corporate data communication centers. Therefore, strict security is needed to maintain the safety of the company's important assets. This research aims to design a monitoring system for entry and exit activities in the data center room using Internet of Things (IoT) technology and Artificial Intelligence (AI). The YOLO V5 algorithm is used to detect objects, while the DeepSORT algorithm serves to track the movement of detected objects. This system is proposed to solve security problems and improve operational efficiency in data center rooms, which often still use manual methods or less efficient monitoring systems. By using the ESP32-CAM device as an IoT tool to capture real-time video, YOLO V5 will detect objects entering and leaving the data center room, and DeepSORT will track their movements. This system is expected to provide a more effective and efficient solution for monitoring. Through the utilization of IoT and AI. The monitoring data will be saved automatically into the database page, the video will be streamed through the Django-based web interface and displayed on the main page and the monitoring results will also be displayed on the main page.