IoT-Enabled Automated Pet Feeding System

This project introduces an innovative IoT-enabled automated pet feeding system, providing pet owners with a reliable and convenient solution for maintaining regular feeding schedules and monitoring pet activity. The system features a programmable feeding mechanism and allows for remote control and monitoring through a web-based dashboard, utilizing an ESP32 Wi-Fi Module, load cell, PIR sensors, servo motors, and the ESP32-CAM AI-Thinker module. The Blynk application serves as the user interface, enhancing accessibility and user experience. The system aims to ensure consistent, hygienic food dispensing, precise water distribution, and feeding reminders based on pet behavior, all without human intervention. Testing validates the system's accuracy in food portioning, motion detection, and adaptability to different pet care needs. The system demonstrates significant advancements in automated pet care, contributing to improved pet health, nutrition, and overall well-being.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/icocet63343.2024.10730695
Citations
4
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.83
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article

IoT-Enabled Automated Pet Feeding System

Qi Wei Oung, Hoi Leong Lee, Rabiatul Adawiyah Binti Zulkiflee
4 citations
IoT-based Smart Home Systems
0.83
article

IoT-Enabled Automated Pet Feeding System

Qi Wei Oung, Hoi Leong Lee, Rabiatul Adawiyah Binti Zulkiflee
article en
4 citations

Abstract

This project introduces an innovative IoT-enabled automated pet feeding system, providing pet owners with a reliable and convenient solution for maintaining regular feeding schedules and monitoring pet activity. The system features a programmable feeding mechanism and allows for remote control and monitoring through a web-based dashboard, utilizing an ESP32 Wi-Fi Module, load cell, PIR sensors, servo motors, and the ESP32-CAM AI-Thinker module. The Blynk application serves as the user interface, enhancing accessibility and user experience. The system aims to ensure consistent, hygienic food dispensing, precise water distribution, and feeding reminders based on pet behavior, all without human intervention. Testing validates the system's accuracy in food portioning, motion detection, and adaptability to different pet care needs. The system demonstrates significant advancements in automated pet care, contributing to improved pet health, nutrition, and overall well-being.

Universiti Malaysia Perlis (MY)
Zero hunger
Openalex Percentile: Top 26%
IoT-based Smart Home Systems
0.83
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IoT-Enabled Automated Pet Feeding System — Qi Wei Oung, Hoi Leong Lee, et al. · (2024) | TGRS Research Map | TGRS