BETAHarm Reduction & Computer Vision

Purple Canary

Objective Forensic Reagent Analysis & Harm-Reduction Scanner

#Computer Vision#Harm Reduction#HealthTech#WASM#Mobile Web

Launch Web Apparrow_outward codeGitHub Repositoryopen_in_new

bolt

The Core Hook

"Objective forensic reagent analysis right in your mobile browser."

psychology_alt

The Real-World Friction

"Dim lighting and subjective color charts shouldn't be the difference between safety and a fatal overdose."

report_problem

The Enemy & The Status-Quo Friction

Street-level chemical adulterants (fentanyl, xylazine) are lethal, yet existing testing relies on interpreting subtle chemical reagent color shifts by eye under dim, variable festival or street lighting, leading to dangerous false negatives and fatal uncertainty.

auto_awesome

The Unique Mechanism

A mobile computer-vision scanner running local colorimetry calibration and ambient lighting compensation. Using custom edge proxies and a toxicological library, it analyzes test strips and colorimetric reactions to provide objective, mathematical adulterant identification directly from a phone camera.

trending_up

The Transformation & Real-World ROI

Harm-reduction volunteers, festivalgoers, and public safety workers eliminate visual guesswork and gain immediate, objective, lab-grade validation in the field.

info

Project Overview & Architecture

A mobile computer-vision scanner running local colorimetry calibration and ambient lighting compensation. Analyzes colorimetric reagent reactions to detect over 200+ toxins and adulterants in illicit substances with mathematical certainty.

Key Capabilities & Highlights

check_circleDigital densiometer detecting over 200+ toxins and lethal adulterants (fentanyl, xylazine).
check_circleComputer vision colorimetry calibration with ambient lighting compensation.
check_circleInstant objective identification from a standard mobile phone camera.
check_circleOpen-source MIT licensed codebase available on GitHub.

memory