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SEA
SENSE.

Next-gen water quality monitoring using lensless holographic imaging and microfluidic AI.

MicrofluidicsDeep Learning
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The Technology

Holographic Imaging

Instead of standard lenses, we use a Microfluidic Chip placed on a CMOS sensor illuminated by an LED. This captures interference patterns (holograms) of microorganisms passing through the channel.

  • • Lensless Architecture
  • • CMOS Sensor Integration
  • • Custom CAD Fabrication

AI & Processing

Captured holograms are processed using Phase Retrieval to create 3D views and Morphological Analysis to identify species shapes. Unknown samples are cataloged for study.

  • • Deep Learning Classification
  • • 3D Phase Reconstruction
  • • Edge Computing

Hardware Prototype

Prototype
Prototype

Innovation Process

Problem Statement

Step 01

CAD Design

Step 02

3D Simulation

Step 03

Fabrication

Step 04

AI Training

Step 05

Deployment

Step 06

App Dashboard

App Screen
App Screen
App Screen
App Screen
App Screen
App Screen
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App Screen
App Screen
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App Screen

Hackathon Moments

Event 0
Event 1
Event 2

Certificate of Participation

Certificate
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The Team

H

Haarish Pranouv

Lead Developer

Developed the React Native dashboard and integrated the deep learning classification model.

T2

Teammate 2

Hardware

Designed the microfluidic chip CAD and handled 3D fabrication.

T3

Teammate 3

Research

Conducted biological research on plankton morphology and phase retrieval.

T4

Teammate 4

3D Simulation

Created 3D simulations of microfluidic flow to optimize channel design.

T5

Teammate 5

Data Collection

Collected extensive datasets of microorganisms for model training.

T6

Teammate 6

Dev & Data Support

Assisted in dataset curation and developing the project website.