Presence monitoring system in a data center using facial recognition, multitasking, and an IoT platform

Abstract

Data processing and telecommunication equipment are installed in facilities called equipment sites. The presence of people in these places is permanently monitored by different means, such as closed-circuit television and through routes by surveillance personnel. However, there are points that are not covered by video cameras, or where there may be a presence, even when the guards are at equipment sites. This paper presents a system based on a mobile robot that travels through the equipment site of a data center to detect the presence of people and attempt to recognize their faces. When a person is detected, the robot sends a WhatsApp alert message through the Twilio Internet of Things (IoT) platform to the phone of the data center administrator. The robot integrates an Arduino board for navigation control and a Raspberry Pi for face recognition using a Local Binary Pattern Histogram algorithm. The test results indicated a recognition accuracy of 99.5%.