AUTOMATIC VEHICLE DETECTION SYSTEM BASED ON NODEMCU AND ULTRASONIC SENSOR WITH INTERACTIVE RUNNING TEXT OUTPUT

Abstract

This study aims to design and implement a vehicle detection system prototype based on NodeMCU ESP8266, HC SR04 ultrasonic sensor, MAX7219 LED matrix, Neo 6M GPS module, and Telegram. The system is designed to detect objects in front of the vehicle and display real time visual information in the form of the messages “No Overtaking” and “Safe to Overtake.” The research applied a prototype approach consisting of requirements analysis, design, implementation, testing, and evaluation. The test results showed that the HC SR04 sensor was able to detect objects within a range of 5 to 235 cm with a decision threshold of 200 cm. At distances of 5, 10, 30, 50, 80, 110, 140, and 170 cm, the system displayed the message “No Overtaking,” while at distances of 200 cm and 235 cm, the system displayed the message “Safe to Overtake.” These results indicate that 8 out of 10 test points were classified as unsafe conditions and 2 out of 10 test points as safe conditions. The LED matrix successfully displayed 2 main status messages clearly and responsively. Telegram integration also worked properly through 5 control functions, namely ON, OFF, setDekat, setJauh, and resetText. However, the Neo 6M GPS module has not performed optimally because, in 3 location conditions, namely indoors, under a roof, and in an open area, it was unable to obtain a stable fix status. Overall, the system is considered feasible as an initial prototype of an Internet of Things based driving safety system.