International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 12 | Dec 2025
p-ISSN: 2395-0072
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Trakify - proximity and motion detector Gayatri Joshi, Rahul Kabade, Johny Royte, Ramchandra Suresh Apte, Vikas Nandeshwar 1 Gayatri Joshi, Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of
Technology, Pune, Maharashtra, India , Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India 3 Johny Royte, Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India 4,5, Department of Engineering, Science and Humanities (DESH) Vishwakarma Institute of Technology, Pune, Maharashtra, India ------------------------------------------------------------------------***------------------------------------------------------------------------2 Rahul Kabade
Abstract - The creation of a smart object tracking system
automation and real-time monitoring are becoming increasingly essential.
that can deliver motion-based alerts and real-time location updates is presented in this paper. The system, which was created with an ESP32 microcontroller, a NEO-6M GPS module, and a Passive Infrared (PIR) motion sensor, provides an affordable and effective way to track personal property. With the option to integrate a mobile app via Wi-Fi for remote monitoring, it recognizes movement close to the object and sounds an alert via an LED or buzzer. Because of its execution, which prioritizes affordability, usability, and expandability, it can be used for smart home and personal security applications.
1.1 LITERATURE REVIEW 1. Introduction IoT-based tracking systems have become a cost-effective and practical answer to the growing demand for improved security and real-time tracking of personal belongings. To create intelligent, affordable trackers, these systems usually combine parts like the ESP32 microcontroller, NEO-6M GPS module, and motion sensors like PIR (Passive Infrared). This review of the literature examines recent advancements in object tracking, including system architecture, sensor use, and real-time monitoring and alerting.
Key Words: Smart Object tracking, Motion detection, ESP32, IOT Security.
1. INTRODUCTION
2. IoT-Based Tracking Systems
In today's tech-driven world, making sure that your personal belongings are safe and secure is a big worry. It is common for people to lose or have their bags, electronics, or even cars stolen. However, most tracking solutions are too expensive, don't work well, or can't be used with other smart systems. This paper proposes the creation of an economical, compact, and effective smart object tracking system that integrates real-time location tracking with motion detection to tackle these issues.
A number of researchers have been working on IoT-powered tracking solutions for both personal and vehicle-related uses. For example, Rahman et al. (2019) presented an inexpensive GPS and GSM tracking device based on microcontrollers. They concentrated on energy efficiency and real-time tracking, which is a crucial objective that is closely related to the Trak ify project. In a similar vein, Karthik and Jaya Prakash (2020) used the ESP32 to create a GPS tracker that uses motion sensing and cloud integration to send out alerts. Their design is fairly similar to what Trakify seeks to accomplish, and their findings validated the usefulness of IoT trackers in aiding in the recovery of misplaced or pilfered goods.
The system that was added uses an ESP32 microcontroller, a NEO-6M GPS module, and a Passive Infrared (PIR) motion sensor. These parts work together to let the system keep an eye on where an object is and see if it moves without permission. When motion is detected, the device triggers a buzzer or LED for immediate alert, and with optional Wi-Fi connectivity, it can send real-time location data and alerts to a mobile application.
3. Motion Detection in Tracking Systems One important tool for spotting suspicious activity is motion detection. PIR sensors are dependable for identifying human movement, according to Gupta and Tripathi's (2017) research on their potential applications in security. They did point out that the placement of the sensors has a significant impact on performance and helps avoid false alarms, which Trakify can take seriously for its LED and buzzer notification system.
This project focuses on being cheap, easy to use, and able to grow. It not only serves as a practical solution for securing personal items but also offers potential integration into broader smart home environments, where intelligent
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