Revolutionary pet hydration monitoring using ESP32, AI vision technology, and advanced sensors. Automatically detect, identify, and track your pet's water consumption with precision.
Cutting-edge technology from Team P.A.W.S at SDSU
Custom YOLOv8 model running on Grove AI Vision Module automatically identifies which pet is drinking.
Powerful ESP32 processes sensor data, manages WiFi communication, and coordinates all system components.
Ultrasonic level sensor, motion detection, and water pump integration for comprehensive monitoring.
Raspberry Pi Zero W hosts local dashboard for immediate data visualization and analysis.
Professional PCB integrates all components efficiently while maintaining sub-$100 cost target.
Senior Design project showcasing embedded systems, machine learning, and IoT integration.
Developed by Team P.A.W.S (ECE Team 5) at San Diego State University's College of Engineering for the EE/COMPE 491W Senior Design course, sponsored by Dr. Hidenori Yamada.
Our interdisciplinary team combines Computer Engineering expertise (Tri Bui, Abdulmohsen Almunayes) with Electrical Engineering knowledge (Ehren Abeto, Brandon Lord, Zachary Xavier Encarnacion) to create this innovative pet health monitoring solution.
Stay updated on our Smart Pet Bowl development progress
Academic project updates and development progress only.