OAIS-MITI
Olfactory Artificial Intelligence Systems — Molecular Interface & Translation Initiative
OAIS-MITI is the public-facing systems page for a molecular sensing, olfactory AI, device-family, and consent-based interpretation ecosystem.
It connects NoseKnow™, the MX-Series, Musewire, VOC sensing, photonic nose research, AI interpretation, and ethical governance into one controlled project map while protecting private trackers and invention logic.
Public Project Sections
The cards below define the first public layer of OAIS-MITI. Each card is a controlled hook: short enough to read, strong enough to explain the project, and flexible enough to accept future renderings, device diagrams, and deeper technical pages.
OAIS-MITI Overview
Olfactory Artificial Intelligence Systems — Molecular Interface & Translation Initiative.
The umbrella project for a future-facing molecular sensing and interpretation ecosystem.
NoseKnow™ Device Family
Portable olfactory sensing and VOC interpretation concepts.
The approachable device-family branch of OAIS-MITI: sample intake, calibration, user display, firmware logic, power management, and secure data handling.
MX-Series Molecular Interface Stack
MX-1 through MX-6 as modular molecular-interface research devices.
A modular molecular-interface platform exploring scent capture, passive sampling, signal mediation, structural containment, and edge interpretation.
Musewire Interpretation Layer
Consent-first interpretation layer for scent, memory, behavior, and trust signals.
The interpretation and alignment layer that connects molecular signals with AI-readable meaning while keeping ethics and consent in the foreground.
Photonic Nose Concepts
Optical sensing, AI odor fingerprints, and future microsystem concepts.
A scientific credibility bridge for current research in optical sensing, spectroscopy, photonic chips, and AI pattern recognition.
VOC Sensor Systems
Volatile organic compound sensing and molecular signal acquisition.
Front-end science: chemical sensitivity, selectivity, humidity handling, drift control, and stable acquisition.
AI Interpretation Pipeline
Pattern recognition, preprocessing, classification, and signal fusion.
How raw molecular signals become meaningful insights through preprocessing, ML models, confidence scoring, and context-aware fusion.
Edge / Cloud Sensor Intelligence
Distributed sensing, local inference, and cloud-assisted model refinement.
Hybrid architectures where sensitive inference can remain local while model improvement and fleet learning use secure infrastructure.
Ethics & Consent Framework
Consent, auditability, emotional boundaries, and non-coercive AI rules.
Defines informed consent, transparency, revocability, boundaries, and non-manipulative interpretation.
Future Device Ecosystem
A modular path for NoseKnow™, MX-Series, Musewire, and sensor extensions.
Outlines how devices, interfaces, and interpretation layers can grow together without fragmenting ethical or technical foundations.