IoT-Based Oscillation Counter Using a Tracker Sensor

Abstract

The development of Internet of Things (IoT) technology has enabled the implementation of measurement and monitoring systems that can be accessed remotely through the internet. In oscillation experiments, the number of oscillations is generally determined through direct observation, which may require continuous monitoring and can be affected by human observation errors. This research aimed to develop an IoT-based oscillation counter using a tracker sensor and to evaluate the accuracy and precision of oscillation counting based on sensor detection results. The system consisted of a tracker sensor, Arduino Uno as the main controller, an Ethernet module for data communication, and a web interface for remote monitoring. The research stages included system design, hardware and software implementation, sensor characterization, and performance testing. The tracker sensor operated based on infrared light reflection using active-high logic, producing a HIGH output when an object was detected and a LOW output when no object was detected. The sensor characterization results showed average output voltages of 3.276 V when an object was detected and 0.001 V when no object was detected. The accuracy test of oscillation counting achieved 100% accuracy with 0% error for (n = 2, 4, 6, 8, 10). Furthermore, the precision test using 10 repeated measurements at (n = 10) achieved 100% precision, indicating consistent oscillation counting results. The detected oscillation data were processed by the Arduino Uno and transmitted to the server for real-time display on the web interface. The results indicated that the developed system was capable of accurately and consistently counting oscillations and supporting remote monitoring through an IoT-based web interface.