This project is developed for smart aquaculture. We use a camera to capture pictures of fishes in the tank. A deep neural network (MobileNet) is applied to recognize the images to identify the situation of fishes in the tank. EdgeTPU is used for edge computing. We also monitor the water quality by some environmental sensors. All the information is integrated into a website constructed by Laravel, and a Linebot is used to deliver information on mobile phones.Four undergraduate students develop this project from the Department of Management Information Systems (MIS), National Pingtung University of Science and Technology (NPUST), Taiwan.

M5Stack based display for smart fish tank management system

Welcome to the Smart Fish Tank System repository! This project automates and monitors essential aquarium conditions such as water temperature and water level while providing remote control via the Blynk IoT platform. The system ensures a healthy and safe environment for your fish with smart automation and manual override features.

This project is a Smart Aquarium Monitoring System designed to provide real-time monitoring of crucial parameters for freshwater fish tanks.

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IoT-based smart fish tank monitoring system using ESP32, Arduino, and trained YOLOv8 models for fish identification, pregnant fish detection, live camera monitoring, and automated environment control.

Capstone: Smart Aquatic Steward: An Automated Management and Water Monitoring System for Fish Tanks

I designed and built a smart fish tank system using an ESP32 microcontroller and the Blynk platform. This system allows for real-time monitoring and automation of key functions.

The IoT Fish Tank Project is an innovative system designed to automate and monitor the essential functions of an aquarium using IoT technology. This project integrates smart sensors, actuators, and connectivity features to ensure a healthy and optimized environment for aquatic life while providing convenience for fish tank owners.

The IoT-Based Fish Care System is a smart aquarium management solution designed to monitor and control key environmental factors in a fish tank. Using an ESP32 microcontroller, the system provides real-time monitoring of water parameters and enables remote control of actuators such as LEDs, mini water pumps, and feeders via the internet using Hive.