SIH26144HardwareSmart Automation
₹1,50,000 Prize (₹75k Joint)
•
Deadline: 20 September 2026
•
Submitted Ideas: 0/500

Design & Development of a High-Sensitivity Micro barometer Infrasound sensor

Ministry / Organization: National Technical Research Organisation (NTRO)
Technical Complexity
9/10
Dataset Accessibility
6/10
36h Hackathon Viability
8/10
Step 0 • Zero-Jargon Layman Summary

“We need to design and build a highly sensitive electronic ear (microbarometer sensor) that can detect ultra-low frequency sound waves—below human hearing—traveling through the air from explosions, volcanoes, or rocket launches. The system must capture these tiny air pressure changes, process them through low-noise electronics, and display the live waveforms on a computer dashboard.”

The DecodeX PS Decoder™

Deconstructed Problem Blueprint

Step 1

WHAT TO BUILD?

A complete hardware-software system comprising a high-sensitivity differential pressure sensing transducer, mechanical enclosure, low-noise analog front-end (AFE) circuit, temperature compensation mechanism, long-period pressure equalization system, wind-noise filter interface, and an open-market digitizer/software dashboard for live waveform visualization.

Step 2

WHO IS IT FOR?

National Technical Research Organisation (NTRO) along with defense, geophysical research institutes, and disaster management authorities monitoring atmospheric anomalies and security threats.

Step 3

WHY DOES IT EXIST?

Infrasound waves travel thousands of kilometers through the atmosphere without getting absorbed easily. However, detecting them requires measuring microscopic pressure fluctuations amidst massive background wind and thermal noise, which standard barometers cannot do.

Step 4

INPUT → PROCESS → OUTPUT ARCHITECTURE PIPELINE

01 • Inputs & Telemetry

Sub-audible atmospheric pressure variations (0.01 Hz to 20 Hz) captured via acoustic inlets and porous hose wind-noise reduction pipes.

02 • Processing & AI Core

Differential pressure sensing, capacitive or piezoelectric transduction, high-pass/low-pass analog filtering, low-noise amplification, ADC digitization, and real-time digital signal processing (DSP) for noise floor and frequency response analysis.

03 • Actionable Deliverables

Real-time infrasonic waveform displays, power spectral density (PSD) plots, frequency response charts, noise floor metrics, and automated alert flags for high-energy transient events.

Step 5

CONSTRAINTS

  • Must measure extremely low frequencies (down to 0.01 Hz) requiring long-period pressure equalization capillaries.
  • Must withstand environmental variations through active temperature compensation.
  • Must reject high-amplitude wind turbulence noise using porous pipe rosettes.
  • Hardware prototype must operate reliably under lab and field conditions during the 36-hour build and testing window.
Step 6

JURY METRICS

  • Sensitivity (mV/Pa or V/Pa)
  • Noise floor level across the 0.01 Hz to 20 Hz spectrum
  • Frequency response flatness and phase linearity
  • Long-term baseline stability and low thermal drift
  • Clarity and responsiveness of the real-time software visualization dashboard
Step 7

CORE BOTTLENECK

Designing the mechanical transducer and long-period pressure equalization leak coupled with ultra-low-noise analog front-end electronics to prevent thermal and 1/f flicker noise from masking tiny signals below 0.1 Hz.

Why You Should Choose This PS (Pros)

  • Extremely high national security and strategic value for NTRO, giving teams massive brownie points.
  • Hardware-themed problem statements have significantly less crowd competition compared to generic web/AI tracks.
  • Allows teams to showcase hardcore mechatronics, analog electronics, and DSP capabilities.

Challenges & Risks to Watch (Cons)

  • Demands precise analog circuit design and physical prototyping which can be sensitive to breadboard stray capacitance and power supply ripple.
  • Testing infrasound requires quiet acoustic environments or controlled artificial pressure chambers.
Hackathon Blueprint

Recommended Tech Stack & Grand Finale Features

Frontend & Mobile
Python DashStreamlitPlotly for real-time streaming waveforms
Backend & APIs
Python FastAPINumPy / SciPy for DSP and FFT analysisPySerial for micro-controller data ingestion
AI / ML & Models
Wavelet transforms for transient anomaly detectionBandpass filtering (0.01-20 Hz) DSP algorithms
Database & Cloud
SQLite / CSV local logging for raw time-series sensor telemetry

Killer Features to Impress the SIH Jury

Auto-calibrating baseline drift removal using adaptive digital high-pass filters.
Integrated Real-Time Power Spectral Density (PSD) and Spectrogram viewer for instantaneous event classification (explosions vs. wind gusts).
Modular porous-hose wind noise reduction physical manifold mock-up attached to the enclosure.
View Official SIH 2026 Portal Raw Text
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•Background The Infrasound sensors are precision instruments designed to detect and measure low frequency atmospheric pressure waves, known as infrasound, that fall below the range of human hearing, typically under 20 Hz. These waves can travel long distances through the atmosphere and are produced by a variety of natural and human-made sources including distant Industrial explosions, volcanic eruptions, severe weather systems, meteors, rocket launches, and other energetic phenomena. Detection and analysis of these signals are important for atmospheric monitoring, geophysical research, disaster warning systems and security applications.
•Description It is required to design and develop a high-sensitivity atmospheric microbarometer Infrasound sensor capable of measuring infrasonic pressure fluctuations in the frequency range of approximately 0.01 Hz to 20 Hz.

The sensor should address the complete hardware architecture, including:

(a).Pressure sensing mechanism.

(b).Mechanical transducer design.

(c).Differential pressure measurement technique.

(d).Low-noise analog front-end electronics.

(e).Temperature compensation.

(f).Long-period pressure equalization system.

(g).Environmental enclosure.

(h).Wind-noise reduction interface.

(i).Calibration methodology.

The design should aim to detect very small pressure variations while maintaining long-term stability, low drift, and high signal fidelity. The data acquisition (digitizer) and real time waveform display & analysis software available in open market to be included to demonstrate complete functional sensor system.

•Expected Solution The prototype infrasound sensor should have high sensitivity, long-term stability and low-noise signal condition to measure infrasound signals accurately. Sensor should demonstrate:

(a).Detection of low-frequency pressure signals.

(b).Laboratory characterization of frequency response.

(c).Noise floor measurements.

(d).Sensitivity estimation.

(e).Stability testing.

The evaluation will be conducted based on the achievement of the following parameters Attach Table Here The digitizer and data acquisition software (available in open market) for real time waveform display & analysis will be arranged by candidates themselves to demonstrate the complete functional sensor system.