Classifying Object Size in an Arduino-Based RADAR System Using an IR Sensor and I2C-LCD

Mohammad Iftekher Uddin; Robin Barua

doi:10.37058/jeee.v7i1.16795

Classifying Object Size in an Arduino-Based RADAR System Using an IR Sensor and I2C-LCD

Mohammad Iftekher Uddin, Robin Barua

Abstract

The radio detection and ranging (RADAR) system uses electromagnetic waves to measure the distance and direction of an object. The IR (infrared) sensor uses infrared light to detect an object. This study uses the IR sensor to classify the size of an object in an Arduino-based RADAR system. A binary logical method classifies the size of an object as either long or small. The result is displayed on a liquid crystal display (LCD). An I2C module is used to easily connect the LCD to the Arduino. The system has been simulated in Proteus software to verify the Arduino code. The Arduino-based RADAR system with size classification has been implemented using two IR sensors, an ultrasonic sensor, an LCD, and a servo motor. Two IR sensors have been used at different heights to classify the size of an object. A Java application is used to visualize the RADAR system on a PC in a graphical user interface (GUI), which shows the moving object in real-time. The ultrasonic range is programmed at 40 cm to detect objects. The system can detect objects in the 40 cm range and between 0 and 180° angles.

Full Text:

PDF (1-5)

References

P. Ebrahim, N. Tom, D. N. Gençoğlan, Ş. Çolak, and M. R. Yuce, “Radar and Non Contact Sensing,” in Encyclopedia of Sensors and Biosensors, R. Narayan, Ed., 1st ed., Elsevier, 2023, pp. 287–307, doi: 10.1016/B978-0-12-822548-6.00083-2

Animal echolocation, Available: https://en.wikipedia.org/wiki/Animal_echolocation. [Accessed: Aug. 8, 2025].

HC-SR04 Ultrasonic Sensor Datasheet, SparkFun Electronics. [Online]. Available: https://cdn.sparkfun.com/datasheets/Sensors/Proximity/HCSR04.pdf

A. Megananda, E. Muzayyanah, H. P. Darmayanti and Z. I. Priana, “Development of Digital Distance Measurement Instrument Based on Arduino Uno for Physics Practicum,” Impulse: Journal of Research and Innovation in Physics Education, vol. 1, no. 2, pp. 80–88, 2021.

ETechnoG, “IR Sensor Circuit, Connection Diagram, Project,” ETechnoG, Jun. 2021. [Online]. Available: https://www.etechnog.com/2021/06/ir-sensor-circuit-connection-diagram.html

S. C. T, A. P, K. Sumathi, and C. U. Varshini, "Design of an Arduino Based Radar System," International Journal of Engineering Research & Technology (IJERT), vol. 10, no. 11, ICEI – 2022, 2022.

A. K. Benjamin, P. K. Ainah, and B. A. John, “Design and Implementation of a Low-Cost Ultrasonic Radar System using an Arduino Microcontroller,” International Journal of Scientific Research and Engineering Development, vol. 3, no. 4, pp. 295–302, Jul.–Aug. 2020.

N. Gupta and A. K. Agarwal, "Object Identification using Super Sonic Sensor: Arduino Object Radar," 2018 International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2018, pp. 92-96, doi: 10.1109/SYSMART.2018.8746951.

A. E. Onoja and A. M. O. Abdusalaam, “Embedded System Based Radio Detection and Ranging (RADAR) System Using Arduino and Ultra-Sonic Sensor,” American Journal of Embedded Systems and Applications, vol. 5, no. 1, pp. 7–12, 2017, doi: 10.11648/j.ajesa.20170501.12

RoboticsBD, “I2C LCD Adapter Module,” Robotics Bangladesh, product page. [Online]. Available: https://store.roboticsbd.com/display/433-i2c-lcd-adapter-module-robotics-bangladesh.html. [Accessed: Aug. 20, 2025].

Arduino micros() Retrieved August 8, 2025, Available: https://docs.arduino.cc/language-reference/en/functions/time/micros/

NewPing Library, Arduino Documentation, Arduino, [Online]. Available: https://docs.arduino.cc/libraries/newping/. [Accessed: Aug. 8, 2025].

DOI: https://doi.org/10.37058/jeee.v7i1.16795