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From “Measuring Light” to “Understanding Light” — LRS Core Technologies & Global Patent Strategy

11 月 17, 2025

For the past two decades, the lighting industry has focused on energy savings, smart controls, and ambience.
But the part of light that truly affects sleep, mood, focus, and wellbeing has long lacked a quantifiable, reproducible, and verifiable technological framework and standard.

Lighting Recipe Studio (LRS) aims to fill that gap — not just “how bright it is,” but “how suitable it is for the human body and human emotions.”

This article explains, in a simple and accessible way:

  • The core technologies of LRS
  • How we are building a global patent strategy

1. What Does LRS Do? — A “Light Recipe Platform”

LRS (Lighting Recipe Studio) is a light-technology company from Asia focused on three areas:

🧠 Neuroscience & Emotional Lighting
Using fMRI, EEG, HRV and other research to understand how different spectra influence the brain and emotions.

🌞 Circadian & Healthy Light Environments
Integrating CIE S 026, WELL Building Standard, and other frameworks into real products—using m-EDI, EML, CS and other metrics to make “circadian lighting” measurable and verifiable.

📡 In.Licht Sensing & Data Platform
With In.Licht Ultra / Pro / Well devices, we capture everything from visible spectral data, flicker, and glare to IAQ—turning “invisible risks” into visible information.

简而言之
LRS doesn’t sell “pretty lamps.”
We sell the technology and light recipes that make lighting healthier and smarter.

2. Three-Layer Technology Stack: From Sensing to Algorithms to System Applications

To make “healthy / emotional lighting” truly implementable, LRS builds technology across three layers:

1️⃣ Sensing & Data Layer — Making Light Visible

Representative products:
In.Licht Ultra / Pro / Well

Measurable and standardized indicators include:

  • Spectrum (SPD) — energy distribution across wavelengths
  • Illuminance, CCT, CRI / Rf / Rg
  • Circadian metrics: m-EDI, EML, CS
  • Flicker metrics: frequency, wavelength; SVM / Pst LM compatibility
  • Visual comfort & age adjustment
  • Indoor air quality: CO₂, TVOC, temperature/humidity (via In.Licht Well)

Purpose:
Move beyond “lux only” and capture how a beam of light affects the eye, circadian physiology, 和 comfort.

2️⃣ Algorithm Layer — From “Measuring Light” to “Understanding People”

This layer is built from years of fMRI, EEG and clinical collaboration with universities and hospitals.
Core models include:

🌙 Circadian Models
A multispectral circadian database predicting m-EDI, EML, CS and other biological-clock effects.
Used for designing morning / midday / evening circadian light fields for offices, schools, hospitals, etc.

😊 Emotion Navigation Model
Experiments mapping
CCT / chromaticity / flicker / illuminance changes → brainwave responses & subjective emotions.

Emotions are broken into dimensions such as:

  • Happiness
  • Arousal
  • Serenity / Safety

Future extensions include dopamine-axis and serotonin-axis light recipe models.

🧬 Teacher–Proxy–Operational Architecture

  • Teacher: fMRI determines true brain responses under different lighting.
  • Proxy: EEG, HRV, facial signals build accessible proxy models.
  • Operational: Real spaces use light + limited proxy input for closed-loop control.

Practical goal:
Turn “I want to relax / focus / recover” into instructions that lighting systems can understand, calculate, and execute.

3️⃣ System & Application Layer — Bringing Technology Into Real Spaces

This is the easiest entry point for external partners:

🔌 Integration with BMS / LMS / Smart Lighting Platforms
Via API, DALI, Zigbee, BLE Mesh; integrating In.Licht data and the Light Recipe Engine.

📊 Health & Emotional Lighting Reports
Benchmarking against WELL, LEED, GLG Good Light Group, etc., with optimization recommendations.

🧩 Modular Scenes & Recipes
Packaging complex algorithms into reusable scenes:
Focused work, agile meetings, nurse stations, stress-reduction waiting rooms, pre-sleep transitions, etc.
Available to luminaire brands, system integrators, and developers.

3. Patent Strategy — Not a Number Game, but a Moat

LRS has filed 60+ patents and applications across China, Taiwan, the U.S., Europe, India, etc.
Mainly invention patents, covering four clusters:

  1. Sensing & Device Technology
    • Multispectral sensor structures & calibration
    • Flicker / glare / age-vision correction
    • Light + IAQ integrated detection devices
  2. Algorithms & Databases
    • Multispectral circadian databases & prediction models
    • Spectral correlation with stress/emotion biomarkers
    • Emotion navigation & light recipe engines (including future NIR recipes)
  3. Systems & Platforms
    • UUID-based light-environment data platforms
    • Integration among BMS/LMS/Apps & automated report generation
    • Multi-space, multi-user emotion/circadian scene management
  4. Applications & Scenario Workflows
    • Emotional lighting workflows for offices, healthcare, education, rehabilitation
    • Light-environment assessment standards for campuses, communities, hotels, etc.

Our philosophy is simple:
Hardware can be copied.
But defining what good light is and translating it into algorithms, scenes, and systems requires a unique language and IP moat.

We Don’t Want to “Define the World,” We Want to “Do Light Right”