Moving Object Detection Using Ultrasonic Radar with Proper Distance, Direction, and Object Shape Analysis

Author:

Biswas Angona,Abedin Sabrina,Kabir Md. Ahasan

Abstract

Background: In its early development, radar (radio detection and ranging) was primarily used by the navy, the military, and the aviation services, as well as space organizations for security and monitoring purposes. Nowadays, the demand of radar is expanding. Research has been conducted to overcome the limitations of radar.Objective: One of the current limitations to detect moving object. The current paper aims to fill the gap in the literature by using a radar system in the identification of moving object, capturing the distance, direction, radar pulse duration and object shape simultaneously. Velocity or the object’s speed towards or away from the radar was determined by using an algorithm to obtain the precision.Methods: The accuracy of distance measurement and angle is ensured by comparing the real values and the values obtained by the radar. The objects under study consist of metal and non-metal. Novelty of this work is the accurate detection of moving objects with suitable algorithms using only one Arduino UNO and one ultrasonic sensor.Results: The experiment design yielded much better efficiency than previous works. The proposed method predicted the exact speed of the object detected by the radar system. The experiment has successfully proven the accuracy of moving object sensor.Conclusion: Besides proper distance and velocity, a large set of data was taken to find the accuracy of the radar for objects of different shapes. For a cylindrical object, the radar provided 100% efficiency in a constant environment when the object was 5 cm away. The accuracy decreased to 30% when the distance was 17 cm away. The limitation of this system is that it was unable to detect small object or if the object was very close (1 cm).

Publisher

Universitas Airlangga

Reference27 articles.

1. S. Hameed, N. J. D. Rashid and F. Shoaib, "Arduino based radar system," 3C Tecnología. Glosas de innovación aplicadas a la pyme, no. Special Issue on Recent Trends in Computer Science and Electronics, pp. 157-166, 2019.

2. Hatem, H. Raheem, A. I. Abdalla and Z. N. A. Al-Rawi, "Design & Implementation of ultrasonic radar system for distance measurements using Arduino," International Journal of Engineering & Technology, vol. 7, no. 4, pp. 3115-3118, 2018.

3. A. K. Shrivastava, A. Verma and S. P. Singh, "Distance Measurement of an Object or Obstacle by Ultrasound Sensors using P89C51RD2," International Journal of Computer Theory and Engineering, vol. 2, no. 1, 2010.

4. G. Deshmukh, D. N. Nalavade, H. Salve and D. A. Shaikh, "Ultrasonic radar for object detection, distance and speed measurement," International Journal of Research in Advent Technology (IJRAT), vol. 5, no. Special Issue, 2017.

5. M. S. Arefin and T. Mollick, "Design of an Ultrasonic Distance Meter," International Journal of Scientific & Engineering Research, vol. 4, no. 3, 2013.

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