Digital Companion for Field Drug Testing
Ministry of Home Affairs · MedTech / BioTech / HealthTech · Software
Achievable, well-scoped and genuinely useful — the reference-card calibration and a truly tamper-evident record are the whole game, so build those solidly, and its honest presumptive-not-confirmatory framing is exactly what an MHA judge wants to see.
What it actually is
Field drug-test kits work by a colour change that an officer reads by eye, which is subjective, inconsistent between officers, and leaves no proof a test happened where and when it's claimed. The ask is a mobile app that works alongside existing kits (no new hardware): photograph the result against a reference colour card, classify it automatically, and generate a tamper-evident digital record with time, place and a hash of the image.
What to build
A mobile app that captures the colorimetric test result with a reference colour card in frame for lighting calibration, colour-corrects using that card, classifies the result against defined categories (positive/negative/inconclusive), and generates a tamper-evident record with timestamp, GPS, operator ID and a cryptographic hash of the captured image, kept in a simple searchable log — an assistive, standardising layer over existing kits that produces a defensible presumptive record, explicitly not replacing lab confirmation.
Smallest thing that wins the room
Photograph a colorimetric test result with the reference card in frame under poor lighting, show the app colour-correcting and classifying it consistently where a human eye might disagree, then generating a signed, tamper-evident record with time, GPS and image hash that appears in the searchable log.
How crowded this one gets
A guess, projected from the 2025 statements — the last year where both the submission counts and the winners were published.
Quieter than 19% of the 240 · #195 of 240 by expected field
Busier than most. Expect several teams to arrive at the same obvious solution.
Why: defence, intelligence and space bodies drew small fields.
This is a guess, not a fact
Nobody has published 2026’s numbers yet. This is an analysed estimate from last year’s pattern, so please do not take it as the truth — check the live counter on the SIH portal before you decide anything. The range covers the middle half of likely outcomes, so one statement in two lands outside it. Entry closes at 500 ideas per statement, so no range goes past that — a statement that reaches the cap fills and shuts rather than drawing an unlimited crowd. The model reads only three things a team can see before choosing — software or hardware, the theme, and what kind of body posted it — and those explain about a quarter of the variation in last year’s field sizes (R² 0.25 on held-out statements). Trust the band more than the number, and the ordering more than either. It cannot see how good your idea is, which is the part that actually decides it.
The scores
The number is the shorthand. The line under it is the reason.
Acceptance potential
4/5A strong, achievable pick — it needs no new hardware, the reference-card calibration is a sound answer to the real subjectivity problem, the tamper-evident record directly addresses the evidentiary gap the description names, and it is honestly scoped as presumptive, so a clean build genuinely solves the stated problem rather than over-reaching.
Feasibility
4/5This is very buildable — reference-card colour correction, colour classification and hash-plus-metadata record generation are all standard, need no special hardware, and the reference-card-in-frame approach is a genuinely sound way to make the colour reading robust to lighting.
Innovation scope
3/5The components are individually standard, so the room is in making the colour classification genuinely lighting-robust and the record genuinely tamper-evident, rather than in novel technology — but the standardisation-and-evidence framing is a real, useful contribution.
Clarity
5/5The requirement is precise and well-bounded: reference-card calibration, defined outcome categories, the exact tamper-evident record fields, a searchable log, no new hardware, and an explicit note that the output is presumptive, not confirmatory.
Effort
MediumA camera-capture app with colour correction, classification, signed records and a log is a contained, well-bounded build using standard components.
Demo-ability
EasyPhotographing a test, watching it classify consistently under bad lighting where the eye is unsure, and generating a signed time-and-place record is a clean, concrete, self-explanatory demo you can construct exactly.
In its favour
- Green flag: No new hardware is required, so the whole thing is a software build on existing kits, which keeps it comfortably in scope
- Green flag: The reference-card-in-frame approach is a genuinely sound method for lighting-robust colour reading and can be validated with printed standards
- Green flag: The tamper-evident time-and-place record directly solves the evidentiary gap the description identifies
- Green flag: It is honestly scoped as presumptive not confirmatory, which is exactly the responsible framing a judge rewards
Against it
- Red flag: Colour classification must be genuinely robust across lighting, kit brands and camera sensors, and the reference card is what makes that work — skip it and the results are as subjective as the eye
- Red flag: The tamper-evidence must be real — a hash and signature that can be regenerated after the fact is not tamper-evident, so the crypto design matters
- Red flag: Different kits use different colour scales, so a classifier tied to one kit will not generalise without care
- Red flag: It is a modest build, so polish, robustness and the evidentiary rigour are what distinguish it rather than ambition
What you will be writing
- Reference-card colour calibration (ColorChecker-style)
- OpenCV white-balance / illuminant correction
- Colour classification against outcome categories
- Tamper-evident record (hash + timestamp + GPS + operator ID)
- Digital signature
- Searchable test log (mobile/web)
- Field drug testing
- Colorimetric analysis
- Digital evidence
Prior art to read before you start
reference-card colour standardisation · tamper-evident field records · colorimetric result classification
Analysed by Claude Opus. Every score above is a judgment call with its reasoning attached — kindly cross-check this against the official statement on the SIH portal before your team commits to it.