Design of an Edge-AI Embedded System for Underground Water Quality Surveillance
Objective
The objective is to design an edge-AI embedded system that monitors underground water quality in real time, enabling early contamination detection and promoting safe, sustainable water management.
Abstract
This project presents an Edge-AI-based underground water quality surveillance system using Raspberry Pi, TDS sensor, pH sensor, turbidity sensor, DHT11, ADC module, LCD display, relay, and DC water pump. The system continuously monitors important water quality parameters such as TDS, pH, turbidity, and temperature. Edge-AI techniques are used to analyze the collected data locally and identify abnormal water conditions in real time. The monitored values are displayed on the LCD, and the relay-controlled water pump is operated automatically based on water quality conditions. The proposed system provides a low-cost, intelligent, and efficient solution for water quality monitoring and management.
Keywords: Edge AI, Raspberry Pi, Water Quality Monitoring, TDS Sensor, pH Sensor.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware components:
- Raspberry pi
- SD Card
- LCD
- ADC MCP3008 Module
- TDS Sensor
- PH Sensor
- DHT11 Sensor
- Turbidity Sensor
- Relay
- DC Water Pump
- Connectors-10.
Software requirements:
- Raspbian OS
- Python IDLE
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
