Idea
An IoT platform delivering affordable, accurate, real-time water quality monitoring with cloud analytics—at 85% lower cost than commercial alternatives.
Research Paper
Core Innovation
This paper presents HydroSense, a dual-microcontroller IoT system combining Arduino Uno for precise analog sensing with ESP32 for wireless edge processing and cloud integration. It introduces advanced calibration and signal processing techniques to achieve high accuracy and reliability at at 85% lower cost than commercial alternatives
Why It Matters
Water quality monitoring is critical for public health and environmental management but often limited by high costs and manual processes. HydroSense reduces costs significantly while providing reliable, real-time data, enabling broader adoption in underserved regions. This scalability transforms water quality assessment workflows by integrating edge processing and cloud connectivity.
Market Size (TAM)
$2B–$10B TAM for water quality monitoring systems; $500M–$1B SAM from municipal, agricultural, and environmental sectors. Driven by increasing regulatory requirements and demand for affordable IoT solutions.
Potential Customers & Pain Points
- Municipal water authorities – High cost of continuous monitoring
- Environmental agencies – Need for real-time multi-parameter data
- Agricultural sectors – Lack of affordable water quality tools
- NGOs in developing regions – Limited access to reliable monitoring systems
Business Model
Hardware sales combined with subscription-based cloud analytics and maintenance services targeting municipal and environmental customers.
Competitive Landscape
- YSI
- Hach
- In-Situ
- Libelium
Implementation Challenges
- Integration complexity of multi-parameter sensors
- Ensuring long-term sensor calibration and maintenance
- Adoption resistance due to trust in established commercial brands
Validation Strategy
- Extended field trials in diverse water bodies to verify accuracy and reliability
- Partnerships with local water authorities for pilot deployments
- User feedback collection to refine usability and cloud features
Research Paper Overview
HydroSense: A Dual-Microcontroller IoT Framework for Real-Time Multi-Parameter Water Quality Monitoring with Edge Processing and Cloud Analytics
Summary
HydroSense integrates six key water quality parameters into a cost-effective IoT system using dual microcontrollers for precise measurement and cloud analytics. It achieves professional-grade accuracy and reliable data transmission at 85% lower cost than commercial alternatives, enabling accessible real-time environmental monitoring.