Defining Precision Allergy Monitoring with Data

SensorNet

Distributed allergen monitoring sensor network covering indoor, outdoor, and mobile scenarios with real-time data collection and transmission.

• IoT sensor deployment across 40,000+ cities
• Real-time data streaming and edge computing
• Multi-parameter environmental sensing

AirDataMind Core Algorithms

Multi-source data fusion engine combining remote sensing, IoT, and meteorological data with diffusion-sedimentation models and AI.

• Remote sensing / IoT / weather data fusion
• Atmospheric diffusion & sedimentation modeling
• Deep learning predictive analytics
• 4-category allergen recognition

Allergen Identification

Multi-modal allergen identification combining fluorescence spectroscopy, morphological analysis, and AI image recognition.

• Fluorescence spectroscopy analysis
• Morphological identification
• AI-powered image recognition

Remote Sensing & Vegetation

Satellite remote sensing for vegetation identification and land composition analysis to support allergen source tracking.

• Satellite imagery analysis
• Allergenic vegetation mapping
• Land use composition analysis

AirDataMind Architecture Whitepaper

Deep dive into the multi-source data fusion engine, ETL pipelines, SAM spectral mapping, LightGBM prediction models, and Kimi Agent integration.

Lensless Microscopy for Allergen Detection

Technical overview of on-chip lensless microscopy and computational reconstruction algorithms enabling portable allergen identification.

SensorNet Deployment Guide

Best practices for deploying distributed allergen monitoring sensors across indoor, outdoor, and mobile scenarios with real-time data streaming.

Data Security & Privacy Compliance

Detailed explanation of our four-tier data isolation, API key authentication, desensitization protocols, and end-to-end HTTPS encryption.