This work presents a tracking system developed to time qualifying laps in amateur car
events at the Kartódromo da Vila Olímpica de Manaus. This system aims to provide
better control for event organizers by monitoring the lap times of each driver and
automatically classifying them according to their respective categories. Additionally,
drivers themselves can access real-time information about their performance, and the
event audience can actively follow the competition.
The project is based on the integration of a low-power IoT (Internet of Things) device,
specifically the ESP32 microcontroller, and a PIR (Pyroelectric Infrared) presence sensor
positioned on the track, with a web application developed in NodeJS and Angular.
Through this application, event registration, car and driver information, and the cate-
gories to be competed in are recorded. The times received by the device are displayed
on another page of the interface, where they can be analyzed later on.
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