
Transform your LED displays from passive screens into intelligent, self-optimising assets. LumiGreen's edge AI reduces energy consumption by up to 45%, extends panel lifespan by 2×, and delivers verifiable ROI through predictive maintenance and audience analytics.
Traditional LED displays are visually stunning but operationally inefficient liabilities. Three fundamental problems drain value from every installation.
Of total operational budgets are consumed by inefficient, static brightness levels that ignore ambient conditions.
Reactive 'break-fix' maintenance is 300% more expensive than predictive approaches and causes revenue-killing downtime.
Advertisers demand data. Traditional screens offer zero audience insights, making ad rates impossible to justify.
LumiGreen installs seamlessly between your media player and sending card — no display modification required. Plug-and-play AI intelligence for any LED installation.
Industrial-grade Edge AI Hub that installs seamlessly between your media player and sending card. No display modification required.
Real-time dynamic brightness and pixel alternation algorithms reduce energy consumption by up to 45% — imperceptible to viewers.
Transform raw data into decisions: predictive maintenance, automated optimisation, and verifiable audience metrics.
Large-format LED displays stream thousands of measurements every second — thermal, electrical, optical, and ambient. LumiGreen AI turns reactive alarms into proactive, self-optimising control.
Thermal, light, voltage, optical, and humidity sensors feed continuous streams into the AI engine in real time.
ML models detect failure signatures weeks before symptoms appear using temporal fusion transformers trained on 38,000+ LED failure scenarios.
Dynamic algorithms cut energy use without degrading quality. Brightness adjusts 100 times per second based on content and ambient light.
Anonymous audience signals let content adapt to who's present — measuring dwell time, engagement, and demographics without storing personal data.
The system acts autonomously on routine insights and alerts. Edge-first with <5ms latency, fully offline capable, and privacy safe.
Four purpose-built algorithms working in concert to cut energy waste by up to 45%.
Adjusts brightness 100 times per second using real-time ambient light sensor data and content analysis.
When no audience is detected for 2+ minutes, brightness drops to 30% automatically. Restores instantly on detection.
Analyses each frame for dark regions and reduces power to those pixels in real time, distributing heat evenly.
Shifts colour temperature from 6500K (daylight) to 3000K (evening), reducing blue-light-driven LED degradation.
The Dual-Layer Temporal Fusion Transformer — trained on 38,000+ LED failure scenarios and 12M+ hours of field data.
23 parameters tracked per module continuously: voltage ripple, thermal gradients, colour drift (ΔE), humidity ingress, pixel degradation rates.
DL-TFT cross-references live data against 12M+ hours of field data from global LED installations to score failure risk every 11 seconds.
Automated alerts dispatched to maintenance teams 14–21 days before visible failure. Work orders generated with module-level precision.
Whether you run BrightSign or any other media player, LumiGreen has a deployment mode for your installation.
LumiGreen AI is certified for BrightSign Series 5 and Series 6 players. The integrated NPU runs our models independently from the CPU and GPU — zero impact on video playback quality.
For non-BrightSign installations. The LumiGreen Edge Hub connects inline between any media player and sending card — compatible with all major LED controller brands.
A single pane of glass for your entire display fleet — energy tracking, AI optimisation, safety intelligence, and ESG reporting.
Live dashboards, historical trend analysis, and anomaly alerts for total visibility into your display network's power consumption.
Machine learning identifies waste patterns and recommends optimal brightness schedules based on foot traffic and ambient light.
Predictive arc fault detection and remote isolation to prevent electrical fires before they start.
Automated Scope 2 emissions calculation and carbon intensity metrics ready for regulatory compliance.