Artificial Intelligence Meets Lighting
The lighting industry commonly employs novel techniques in lighting design and control. Significant transformative changes within the sector include the evolution of the light bulb and the introduction of inter-networked lighting components that implement protocols such as DALI.
In the context of the Lighting Industry, the scope for applying AI is intriguingly broad, impacting the various stages involved in the lighting life-cycle such as design, installation, commissioning, and configuration.
For example, a self-learning network of lighting components can communicate and set-up itself without requiring human intervention similar to auto-commissioning systems used in the IT industry. This network will decrease the time needed to commission new lighting installations.
By observing and measuring the indoor environment, an AI-based lighting system can optimise and tune light parameters accordingly to impact user experience and well-being.
The utility of such a system is not limited to end-users or tenants but extends to other stakeholders such as building owners and facility managers as well.
A data-driven network of lighting components continuously generates data which is collected and stored at a centralised server. AI algorithms can run at the source component, such as a sensor, for decentralised, real-time decisions, or at a server for making centralised decisions.
Furthermore, the collected data applies to other Building Management Systems (BMS) such as Heating, Ventilation and Air Conditioning (HVAC), or access management.
However, this technology is not without its caveats.
Cameras augmented with AI can detect precise occupancy and movements in a room or space, but the visual feed would require strict adherence to privacy laws. Another significant challenge is the limited human understanding of AI, which impedes its speed of adoption as well.
In summary, paying attention to privacy, there are many opportunities for applying AI within the Lighting industry with a significant impact on improved user experience, comfort, productivity and ultimately, profitability.
Self-learning ActiveAhead Generation 2
HELVAR ACTIVEAHEAD® is a truly intelligent and scalable wireless lighting solution. Its unique self-learning capabilities provide ultimate efficiency in setup and operations.
"As we wanted all building systems to have state-of-the-art technology available, we selected Helvar’s wireless, self-learning and future-proof lighting control solution ActiveAhead."
"One of the smart building features of the Helvar system is that it enables us to collect occupancy data for all spaces. This helps us understand how our building is used and it’s in line with our smart building ambition."
"Our staff have been really happy with this steady level of lighting and when they’ve been told that the lighting system is actual adjusting itself based on daylight, it has pleased them further."
"As we changed the layout of our office from a small-room office layout into an activity based open plan office, we wanted the lighting level to be the same in all areas when people move from one place to another. At the same time, we also wanted to be able to control the lighting system based on personal needs."