AI-Driven Luminaire Cloning
Modern cities face increasing pressure to reduce energy consumption, improve sustainability, and meet environmental regulations. Yet, many municipalities still rely on older outdoor luminaires that remain structurally sound but are technologically outdated. Replacing thousands of complete fixtures can be extremely costly, time-consuming, and in heritage zones, even impossible. This is where Luxega’s AI-driven luminaire cloning introduces a significant advantage.
The principle is straightforward: by digitally replicating the existing luminaire, engineers gain a precise understanding of the optical, geometric, and thermal conditions inside the housing. Traditional retrofit approaches often rely on approximate measurements or generic insert modules, which can easily lead to mismatched photometry, glare issues, overheating, or EMC non-compliance. Luxega’s method removes these uncertainties entirely.
The AI model reconstructs the internal geometry of the luminaire, including reflector angles, lens shapes, light paths, and thermal surfaces. This digital clone then becomes the design foundation. Instead of forcing a standard insert into a unique housing, we design the LED module and optical engine specifically for that luminaire’s characteristics. The result is significantly higher efficiency, tailored light distribution, and predictable long-term performance.
A key advantage of our method is how early constraints are integrated into the design. Lumen output, CCT, glare limits, required roadway classes, and smart-control compatibility can all be defined before physical prototyping begins. For municipalities seeking adaptive lighting, D4i drivers, Zhaga sockets, or sensor integration, these options are included directly in the engineering process rather than added later.
Safety and reliability are equally critical. Unlike many retrofit solutions, Luxega conducts EMC and safety testing with the insert installed in the actual luminaire housing. This approach accounts for conductive surfaces, cavity resonance, grounding paths, and thermal mass behaviors that cannot be predicted accurately when testing the insert alone. The result is a fully compliant and stable lighting unit that behaves consistently in real-world conditions.
Cities that adopt this retrofit strategy typically achieve energy savings above 50%, along with reduced maintenance and extended lifetime. More importantly, they preserve the visual identity of their streets, parks, and historical districts. AI-designed inserts allow municipalities to modernize without compromising existing architectural or urban design requirements.
As lighting standards continue to evolve, particularly around sustainability and circularity, the ability to upgrade existing luminaires rather than discard them becomes increasingly valuable. AI-driven luminaire cloning positions retrofit solutions as a responsible and technically robust alternative to full replacement.
Municipalities interested in evaluating their street lighting assets can contact Luxega for a feasibility assessment. With only a few photos and specifications, we can determine whether an insert solution is viable—and what performance improvements you can expect.