SIH26064HardwareRobotics and Drones
₹1,50,000 Prize (₹75k Joint)
•
Deadline: 20 September 2026
•
Submitted Ideas: 0/500

Low-Cost Deployable Seafloor Metal Detection Sensor for Ocean Resource Exploration

Ministry / Organization: Ministry of Earth Sciences (MoES)
Department: National Centre for Polar andOcean Research (NCPOR)
Technical Complexity
8/10
Dataset Accessibility
7/10
36h Hackathon Viability
9/10
Step 0 • Zero-Jargon Layman Summary

“You need to build a small, rugged device that can be dropped into the deep ocean to find valuable metals on the seafloor. It should scan the bottom, identify minerals like cobalt or rare earth elements, and send that data back to the surface.”

The DecodeX PS Decoder™

Deconstructed Problem Blueprint

Step 1

WHAT TO BUILD?

A low-cost, autonomous, pressure-resistant underwater sensor node capable of detecting mineral signatures and logging their coordinates.

Step 2

WHO IS IT FOR?

Ministry of Earth Sciences (MoES) and NCPOR researchers conducting deep-sea mineral exploration surveys.

Step 3

WHY DOES IT EXIST?

Current deep-sea exploration relies on massive, expensive ROVs (Remotely Operated Vehicles) or ship-towed sensors that are slow and cost-prohibitive for large-scale mapping.

Step 4

INPUT → PROCESS → OUTPUT ARCHITECTURE PIPELINE

01 • Inputs & Telemetry

Electromagnetic induction signals, acoustic backscatter data, pressure/depth sensors, and GPS coordinates at the moment of deployment.

02 • Processing & AI Core

Signal processing for noise reduction, onboard classification of mineral signatures using lightweight ML, and data logging to non-volatile memory.

03 • Actionable Deliverables

A geo-tagged map of mineral deposits, a summary report of detected materials, and a recovery beacon signal.

Step 5

CONSTRAINTS

  • Extreme hydrostatic pressure (up to 6000m depth), corrosion resistance, low power consumption for long-term deployment, and reliable data retrieval without real-time high-speed connectivity.
Step 6

JURY METRICS

  • Cost-per-unit (must be significantly lower than existing ROV sensors), detection accuracy (precision/recall of mineral signatures), battery life, and structural integrity under pressure.
Step 7

CORE BOTTLENECK

The 'Pressure-Signal Tradeoff': Designing a housing that is thin/light enough to be low-cost but strong enough to withstand deep-sea pressure without shielding the sensors from the signals they need to detect.

Why You Should Choose This PS (Pros)

  • High national strategic importance for India's Blue Economy, clear hardware-focused deliverables, and massive potential for patenting the housing/sensor integration.

Challenges & Risks to Watch (Cons)

  • Testing in real deep-sea conditions is impossible during a hackathon; requires high-fidelity simulation and pressure-chamber validation logic.
  • Hardware procurement and waterproofing assembly can be time-consuming.
Hackathon Blueprint

Recommended Tech Stack & Grand Finale Features

Frontend & Mobile
React.jsThree.js for 3D seafloor visualization
Backend & APIs
Python (FastAPI) for data ingestion
AI / ML & Models
Scikit-learn for signal classificationTensorFlow Lite for edge inference
Database & Cloud
SQLite for local loggingPostgreSQL for post-retrieval analysis

Killer Features to Impress the SIH Jury

Modular sensor payload allowing for different mineral detection, 'Smart-Drop' autonomous deployment mechanism, and a low-power 'sleep-wake' cycle based on depth triggers.
A digital twin dashboard that visualizes the seafloor map in 3D using the collected sensor data.
View Official SIH 2026 Portal Raw Text
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Design and develop a low-cost deployable ocean-bottom sensor that can be released from a research vessel during surveys to detect and map metal-rich seabed deposits, including polymetallic nodules, hydrothermal sulphides, cobalt-rich crusts and rare-earth-element-bearing sediments, providing a rapid and cost-effective tool for deep-ocean mineral exploration.