In this project, we leveraged an HC-SRO4 sonar sensor interfaced with an ESP32 microcontroller to monitor the opening and closing of a door over a 24-hour period. We designed the system to take measurements every second, and then averaged these readings over 10-minute intervals to create a manageable and meaningful dataset. Throughout the duration of the experiment, the sensor consistently measured the distance between itself and the door. The average distances captured by the sensor provided insights into when the door was predominantly open (greater average distance) versus when it was predominantly closed (shorter average distance). Analyzing the data revealed interesting patterns. For instance, a notable increase in the average distance every 70 minutes suggested that the door was being opened approximately every hour. This recurring event could indicate routine activity in the monitored area, such as a person taking a break, or a scheduled event that prompts the door to open. This data, thus, provided insights not only into the use of the doorway but also into patterns of activity within the environment.