MICROCONTROLLER-BASED TEMPERATURE AND FACE DETECTION SYSTEM FOR UNIVERSITY LABORATORY CONTROLAND MONITORING

Efficient and reliable university laboratory management requires precise monitoring and control of
environmental conditions such as temperature, occupancy, and equipment use. However, traditional
monitoring methods such as manual measurements can be time-consuming, labor-intensive, and
prone to error. Additionally, there is often a need for remote monitoring and control, especially in
large facilities or during off-hours. To address these challenges, this paper presents the design and
implementation of a comprehensive monitoring and control system for a university laboratory. The
system employs an Espressif 32 (ESP32) microcontroller board and various sensors to automate
temperature, occupancy, and equipment monitoring. Temperature readings of people entering and
leaving the university laboratory are taken to ensure safety during a pandemic. Face detection is used
to monitor the number of people entering and exiting the laboratory and to authenticate individuals
entering. An ESP32 microcontroller performs commands using a relay switch after password-based
authentication through SMS. Furthermore, the system can be remotely controlled via SMS through a
GSM network, providing an effective way to manage university laboratory conditions from a
distance. The system's accuracy was evaluated by comparing temperature readings with those of a
reference thermometer and testing face detection and relay control functions. The results of the tests
demonstrate that the system is reliable and accurate in monitoring and controlling the university
laboratory environment. Overall, this system provides an efficient and effective solution for
university laboratory management, reducing the need for manual monitoring and improving the
accuracy of environmental data collection.