Looking beyond traditional microprocessors, neuromorphic computing—chips designed to mimic the neural structure of the brain—offers potential for next-generation lighting control. These event-based processors consume extremely low power and can process sensor data (like motion or light changes) in real-time with high efficiency. In a lighting network, neuromorphic chips could enable decentralized, adaptive control where each luminaire learns and reacts to local patterns of occupancy and daylight autonomously, without constant communication with a central server. This would create lighting systems that are not just smart, but truly cognitive, adaptive, and incredibly energy-efficient in their own operation, representing a potential paradigm shift in control architecture.
