The HydroSentinal is an innovative fish health monitoring system designed to enhance aquaculture management

through advanced image processing techniques. Specifically developed for Matsya (fish) applications, the system

captures high-resolution underwater images of fish gills and body features using corrosion-resistant,

camera-integrated platforms such as RC boats. Captured images are processed using color-based segmentation, edge

detection, and machine learning algorithms to detect abnormalities, including inflammation, discoloration, or

parasitic infections. By providing real-time health assessments, the HydroSentinal enables early intervention,

reducing fish mortality and improving yield.In addition to health monitoring, the HydroSentinal can be integrated

with water quality sensors to measure parameters such as temperature, pH, and turbidity, creating a comprehensive

aquatic ecosystem assessment tool. The device’s portability and corrosion-resistant materials make it well-suited for

deployment in rural and village settings.The system’s data analytics capabilities allow trends to be tracked over time,

enabling farmers and aquaculture managers to make informed decisions regarding stocking density, feed schedules,

and disease control measures. By reducing reliance on manual inspections and costly laboratory tests, HydroSentinel

promotes cost-effective and sustainable aquaculture practices. Its modular design further allows future integration of

autonomous navigation, wireless data transfer, and cloud-based dashboards for remote monitoring.The

HydroSentinel thus represents a scalable, field-ready innovation that combines mechanical design, embedded

systems, and computer vision to improve fish welfare, optimize resources, and support sustainable aquaculture

development in diverse water environments.

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Ms. mengasoundari B