Our Chief Technology Officer, Adria Huguet, takes centre stage in the latest edition of LED Professional Review with his groundbreaking article, “Connecting Lighting Design and Circadian Research with AI”. In this article, Adria delves into the challenges of implementing dynamic lighting that aligns with circadian standards and proposes an innovative solution utilising machine learning (ML) algorithms.
Adria’s research introduces algorithms capable of predicting circadian metrics from colourimetric parameters, simplifying the integration of circadian lighting into existing systems. These algorithms are integrated into the KUMUX platform, providing lighting settings based on circadian patterns. Remarkably, they’ve already demonstrated success in projects such as the BeAble office in Madrid, Spain.
Scientifically proven benefits of dynamic human-centric lighting
Dynamic lighting aligned with circadian rhythms offers numerous benefits, as supported by scientific studies. It can positively impact human health, well-being, and productivity. Research has shown that exposure to light with the right spectrum and intensity at different times of day can regulate the body’s internal clock, leading to improved sleep quality, mood regulation, and cognitive performance.
Moreover, dynamic lighting can mimic natural daylight variations, which is crucial for maintaining the body’s circadian rhythm. This can be especially beneficial in indoor environments where access to natural light may be limited. By adjusting light levels and colour temperatures throughout the day, dynamic lighting aligned with circadian rhythms can have a positive impact on overall well-being.
From science to real project implementation
In the article, Adria explains that Dynamic lighting aligned with circadian rhythms offers significant benefits, but implementing it presents some challenges. These include discrepancies among scientific studies and difficulties in applying specific circadian metrics. KUMUX has developed machine learning algorithms that predict circadian metrics from colourimetric parameters, facilitating their integration into existing lighting control systems. This innovation optimises lighting settings according to circadian guidelines, bridging the gap between theory and practice in lighting design.
The technical team led by Adria have developed KUMUX’s advanced machine learning (ML) algorithms to predict circadian metrics from colourimetric parameters, addressing data scarcity in lighting projects. Integrated within a software platform with an Application Programming Interface (API), these algorithms seamlessly integrate into major lighting control systems. This integration enables the adjustment of CCT and brightness of luminaires to align with circadian scientific guidelines, effectively bridging theory and practice. Through this system, lighting control systems are optimised by applying scientific knowledge to projects via AI.
The article underscores the potential of machine learning algorithms to revolutionise lighting design by aligning it with human circadian rhythms, thereby enhancing health and productivity in environments like offices and workspaces.
“This work represents an exciting advance in the convergence between lighting technology, circadian research, and artificial intelligence,” says Huguet. “It opens new possibilities for creating healthier and more adaptive environments for people.”
Don’t miss out on this article in the latest edition of LED Professional Review for a deeper dive into this exciting innovation!
