Jitendra Singh , Akshat Goswami , Ayush Verma , Jinendra Rahul
International Journal of Electrical, Electronics and Computers (IJECC), Vol-11,Issue-2, April - June 2026, Pages 6-16, 10.22161/eec.112.2
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Article Info: Received: 20 Mar 2026; Accepted: 18 Apr 2026; Date of Publication: 21 Apr 2026
The increasing demand for intelligent surveillance and automation systems has necessitated the development of efficient and cost-effective motion tracking solutions. This paper presents the design and implementation of a real-time Motion Tracking Radar System (MTRS) based on an ultrasonic sensing mechanism integrated with a servo-driven scanning unit and an ESP8266 microcontroller. The proposed system performs continuous environmental scanning by rotating the ultrasonic sensor across a predefined angular range and measuring object distances using the time-of-flight principle. Motion detection is achieved through temporal analysis of successive distance measurements, enabling accurate identification of dynamic objects. To enhance system reliability, signal processing techniques such as filtering, smoothing, and outlier rejection are incorporated to mitigate noise and measurement inconsistencies. The processed data is structured, stored, and visualized using a radar-like graphical interface, providing an intuitive representation of object position and movement. Furthermore, IoT-enabled wireless communication facilitates real-time data transmission to web-based platforms, allowing remote monitoring and analysis. Experimental evaluation demonstrates that the proposed system achieves reliable motion detection with acceptable accuracy in short-range and indoor environments while maintaining low cost, low power consumption, and implementation simplicity. Compared to conventional vision-based and infrared systems, the proposed approach offers a lightweight and scalable alternative with improved real-time performance and accessibility. The system is well-suited for applications in smart surveillance, obstacle detection, and automation. Future enhancements may include multi-sensor integration and intelligent data analytics to further improve system performance and adaptability.