International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


TITLE Design and Implementation of an Arduino-Based Automated Target Detection and Tracking System Using Ultrasonic Sensing
ABSTRACT This paper presents the design and implementation of a low-cost automated target detection and tracking system based on an Arduino Uno microcontroller. The proposed system utilizes an ultrasonic sensor to continuously scan the surrounding environment and detect objects within a predefined range. A servo motor-driven scanning mechanism enables target localization, while additional servo motors perform automatic aiming and launcher actuation functions. The microcontroller processes real-time distance measurements, determines target presence, and executes the corresponding control actions. The prototype demonstrates the integration of sensing, signal processing, and electromechanical actuation in a compact embedded system. Experimental evaluation shows that the system can reliably detect and track stationary and moving objects within its operational range while maintaining stable performance. The developed model serves as an educational platform for understanding the fundamental concepts of radar-inspired surveillance, automated targeting, and embedded control systems. The proposed approach offers a cost-effective solution for academic research, laboratory demonstrations, and automation-based applications.
AUTHOR B S PATIL, DR L S PATIL Department of Instrumentation Engineering, AISSMS, Polytechnic, Pune, India Department of Electrical Engineering, PVPIT, Budhgaon, Sangli, India
VOLUME 181
DOI DOI: 10.15680/IJIRCCE.2026.1402066
PDF pdf/66_Design and Implementation of an Arduino-Based Automated Target Detection and Tracking System Using Ultrasonic Sensing.pdf
KEYWORDS
References [1] B. S. Patil, L. M. Waghmare and M. D. Uplane, "Controller for Integrator Processes," International Journal of Computer Applications, vol. 160, no. 6, pp. 1-28, 2017.
[2] B. S. Patil, Laxman M. Waghmare and M. D. Uplane, "Implementation of SMC Control Action with Pi Sliding Surface for Non Linear Plant Along with Changing Set Point," International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol.8, no.8S3, pp.184-188, 2019.
[3] D. P. Gaikwad, B. S. Patil, L. S. Patil, "Advance genetic algorithm-based PID controller for air levitation system," International Journal of Modelling, Identification and Control. vol.41, no. 3, pp. 243-55, 2022.
[4] B. S. Patil and M.D.Uplane, "Proportional Integral Derivative Controller based Multiple Dominant Pole-Placement for Controlling Integrating Processes," International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), vol. 13, no. 1, pp. 402-415, 2024.
[5] B. S. Patil and M.D.Uplane, "Single Pole Placement Technique based Designing of Proportional Integral Derivative Controller for Integrating Processes," International Journal of Innovative Research in Computer and Communication Engineering, vol. 12, no.1, pp. 191-199, 2024.
[6] S. Karande, P. Jadhav, and M. Kulkarni, “Object Detection Radar System Using Arduino Uno and HC-SR04 Sensor,” in Proc. IEEE Int. Conf. Emerging Technologies, 2025, pp. 201–206.
[7] R. Patil, K. Chavan, and S. More, “Ultrasonic and Arduino-Based Radar System for Environmental Monitoring,” IEEE Sensors Letters, vol. 9, no. 2, pp. 1–5, 2025.
[8] C. Zapata, “Speed Radar Using HC-SR04 and Arduino: Calibration and Data Analysis,” IEEE Latin America Transactions, vol. 23, no. 5, pp. 778–785, 2025.
[9] A. Hellas, M. Petrou, and G. Nikolaou, “A Security Radar System Based on Ultrasonic Sensors for Intrusion Detection,” IEEE Access, vol. 13, pp. 11234–11245, 2025.
[10] J. Kim and S. Lee, “IoT-Based Smart Surveillance System Using Embedded Sensors,” IEEE Internet of Things Journal, vol. 11, no. 3, pp. 2105–2115, 2024.
[11] M. Ahmed, T. Rahman, and R. Islam, “Embedded Object Detection and Tracking System for Smart Monitoring Applications,” IEEE Access, vol. 12, pp. 78422–78435, 2024.
[12] H. Wang, L. Zhao, and X. Sun, “Sensor Fusion Techniques for Intelligent Object Tracking Systems,” IEEE Sensors Journal, vol. 24, no. 8, pp. 11025–11038, 2024.
[13] K. Yadav, P. Sharma, and R. Gupta, “Real-Time Obstacle Detection and Tracking Using Embedded Systems,” in Proc. IEEE Region 10 Conference (TENCON), 2025, pp. 945–950.
[14] S. Ospina, J. Martinez, and F. Torres, “Autonomous Obstacle Detection and Avoidance System Using Ultrasonic Sensors,” IEEE Access, vol. 13, pp. 50211–50223, 2025.
[15] T. Nakamura and H. Sato, “Machine Learning-Based Radar Target Classification for Intelligent Surveillance,” IEEE Transactions on Aerospace and Electronic Systems, vol. 61, no. 1, pp. 225–238, 2025.
[16] M. Brown and J. Wilson, “AI-Assisted Radar Systems for Autonomous Monitoring Applications,” IEEE Access, vol. 14, pp. 14550–14566, 2026.
[17] X. Li, Y. Zhou, and P. Chen, “Sensor Fusion-Based Intelligent Surveillance Platform for Smart Environments,” IEEE Sensors Journal, vol. 26, no. 2, pp. 1540–1552, 2026.
[18] A. Verma, S. Kumar, and N. Singh, “Embedded Target Detection and Tracking Using Multi-Sensor Architecture,” in Proc. IEEE Int. Conf. Advanced Computing and Communication Systems (ICACCS), 2026, pp. 332–338.
[19] G. Thomas and R. Joseph, “Autonomous Monitoring and Tracking System Using IoT and Embedded Sensors,” IEEE Internet of Things Journal, vol. 13, no. 1, pp. 440–451, 2026.
[20] Y. Chen, Z. Wang, and H. Xu, “Next-Generation Intelligent Radar Systems for Autonomous Surveillance,” IEEE Transactions on Intelligent Transportation Systems, vol. 27, no. 3, pp. 2890–2902, 2026.
image
Copyright © IJIRCCE 2020.All right reserved