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PawsTrack: An Advanced IoT-Driven Solution for Enhanced Pet Safety with Environmental Monitoring and Smart Connectivity

Students & Supervisors

Student Authors
Sajedul Islam
Bachelor of Science in Computer Science & Engineering, FST
Sadik Saleh
Bachelor of Science in Computer Science & Engineering, FST
Shusmita Anjum Aziz
Bachelor of Science in Computer Science & Engineering, FST
Kazi Redwan
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Md. Faruk Abdullah Al Sohan
Lecturer, Faculty, FST

Abstract

Pet safety is a significant concern for pet owners. Traditional tracking systems often lack real-time updates or environmental monitoring, increasing risks to pets. To address these issues, this research introduces PawsTrack, a smart IoT-enabled device that combines GPS tracking with environmental monitoring. The system utilizes an ESP32 microcontroller, a GPS module, a GSM module, and a DHT22 temperature sensor to deliver real-time location and temperature data. Solar power with a battery setup and an LM2596 voltage regulator ensures continuous operation, making it a sustainable solution. Enhanced features include Wi-Fi and Bluetooth capabilities provided by the ESP32, enabling seamless connectivity with smartphones and smart home devices. Additionally, geofencing alerts notify pet owners if their pets leave predefined safe zones, improving proactive monitoring. Pet owners receive instant updates via SMS and push notifications, allowing them to track their pet’s location and monitor environmental conditions. Extensive testing of the implemented system demonstrated high accuracy in location tracking and consistent temperature readings, with minimal response delays. These features help pet owners locate pets quickly and safeguard their health in extreme conditions. PawsTrack provides a reliable, feature-rich, and user-friendly tool for enhancing pet safety and addressing limitations in existing tracking systems.

Keywords

IoT-Driven Pet Monitoring Real-time Alerts Solar-powered Systems Smart Connectivity.

Publication Details

  • Type of Publication: Conference 
  • Conference Name: 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM-2025)
  • Date of Conference: 27/06/2025 - 27/06/2025
  • Venue: Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh
  • Organizer: IEEE and Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur
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