SIH26118HardwareSmart Automation
₹1,50,000 Prize (₹75k Joint)
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Deadline: 20 September 2026
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Submitted Ideas: 0/500

Passive Colorimetric H2S Exposure-Dosimeter Wristband with AI-Based Quantitative Reading

Ministry / Organization: Mangalore Refinery and Petrochemicals Limited (MRPL)
Technical Complexity
8/10
Dataset Accessibility
7/10
36h Hackathon Viability
9/10
Step 0 • Zero-Jargon Layman Summary

“Workers in oil refineries are exposed to invisible, toxic gas that causes long-term health damage, but current detectors only warn them if the gas level is dangerously high right now. You are building a low-cost, wearable wristband that changes color as it absorbs gas over time, paired with a smartphone app that scans the color to calculate the total amount of gas the worker has inhaled.”

The DecodeX PS Decoder™

Deconstructed Problem Blueprint

Step 1

WHAT TO BUILD?

A hybrid system consisting of a passive colorimetric chemical-strip wristband (hardware) and a computer-vision-based mobile application (software) for quantitative exposure tracking.

Step 2

WHO IS IT FOR?

Primary beneficiaries are oil and gas field workers; users include safety officers, industrial hygienists, and health compliance departments (DGMS/OISD).

Step 3

WHY DOES IT EXIST?

Existing electronic sensors are expensive, require calibration, and fail to track cumulative 'dose' (time-weighted average), which is the true driver of chronic occupational illness.

Step 4

INPUT → PROCESS → OUTPUT ARCHITECTURE PIPELINE

01 • Inputs & Telemetry

Smartphone camera images of the wristband strip, reference color scale, and expiry indicator patch; metadata including worker ID and shift timestamp.

02 • Processing & AI Core

Color normalization using the reference scale to negate lighting conditions; image processing to calculate RGB/LAB color shift; mapping color intensity to cumulative H2S dosage using a pre-trained regression model.

03 • Actionable Deliverables

Cumulative exposure report (ppm-hours), health risk status, digital log for compliance reporting, and expiry validation alerts.

Step 5

CONSTRAINTS

  • Must function under variable ambient lighting (indoor/outdoor/night)
  • Chemical strip must be stable and shelf-life validated
  • Offline-first mobile app capability for remote refinery sites
  • Must account for temperature/humidity interference in chemical reaction rates
Step 6

JURY METRICS

  • Colorimetric accuracy (Delta E) under varying light
  • Correlation coefficient between app-calculated dose and lab-simulated dose
  • User interface simplicity for non-technical workers
  • Cost-per-unit of the disposable wristband
Step 7

CORE BOTTLENECK

The chemical formulation of the strip that ensures a permanent, non-reversible, and linear color change relative to H2S concentration without being overly sensitive to ambient humidity.

Why You Should Choose This PS (Pros)

  • High social impact and direct alignment with industrial safety mandates
  • Clear, tangible hardware-software integration
  • Strong potential for patenting the chemical strip formulation

Challenges & Risks to Watch (Cons)

  • Requires actual chemical prototyping which is difficult in a 36-hour hackathon
  • Need for controlled lab environment to validate the 'dose' accuracy
  • Complex calibration logic to handle environmental noise
Hackathon Blueprint

Recommended Tech Stack & Grand Finale Features

Frontend & Mobile
Flutter (for cross-platform mobile)
Backend & APIs
FastAPI (Python)
AI / ML & Models
OpenCV for image processingScikit-learn for regression mappingTensorFlow Lite for on-device inference
Database & Cloud
SQLite (local) / PostgreSQL (cloud)

Killer Features to Impress the SIH Jury

Dynamic lighting normalization using a 'Color Checker' reference card printed on the wristband
Blockchain-based immutable logging for safety compliance records
Predictive health alerts based on historical shift data
Offline OCR for worker ID scanning to minimize manual entry
View Official SIH 2026 Portal Raw Text
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•Background Workers in oil and gas operations face chronic low-level H2S exposure. Standard electronic gas detectors miss this risk because they only report instantaneous ppm, and they need batteries, calibration and upkeep. Passive colorimetric badges already exist, usually lead-acetate based, but they only give a rough visual read, exposed past threshold or not, judged by eye. There's no way to know the actual cumulative dose, concentration multiplied by time, and no way to confirm the badge itself hasn't already expired or degraded before it's worn. India has no low-cost, indigenous, digitally-read passive dosimeter for this. Peak-exposure alarms are not what protects long-term health. Cumulative dose is.
•Description The idea is a disposable wristband with an indigenously formulated chemical strip that darkens progressively and permanently with cumulative H2S exposure, not just past one threshold. The strip sits next to a printed reference color scale, and separately, a second patch that shows the badge's own shelf life. Something a worker or safety officer can glance at before a shift to confirm the badge itself is still valid.

A phone app does the reading. Photograph the strip next to the reference scale, and the app corrects for whatever lighting the photo was taken in by calibrating against that reference. It converts the color into an estimated cumulative exposure figure and logs it against worker ID and shift, for occupational health records and DGMS or OISD style reporting. The dose figure should be presented as an estimate, since colorimetric reactions don't scale perfectly linearly at very low concentrations or over long durations. Temperature and humidity affect reaction speed too, so the strip design needs to account for that, either through a sealed reference cell or a compensation method in the app.

•Expected Solution A working wristband prototype, chemical strip plus a separate expiry indicator, along with a phone app that reads and quantifies exposure from a photograph. Tested against a controlled, lab-simulated H2S exposure at known concentration and duration, with a stated and validated shelf life, 30 or 90 days for example, and a dose estimate that tracks reasonably close to the known simulated exposure.