Abstract: Industrial facilities require continuous lighting for safe and efficient operations. Traditional lighting systems usually rely on manual switches or fixed schedules, which often leads to unnecessary energy consumption and inefficient lighting utilization. To overcome these limitations, an IoT-powered adaptive lighting system can be implemented.

The proposed system uses sensors such as occupancy sensors and ambient light sensors to detect human presence and natural lighting conditions. Based on this real-time data, a microcontroller automatically adjusts the brightness of industrial LED lights. The system also enables remote monitoring and control through IoT platforms and cloud services.

This approach significantly reduces energy consumption, improves safety, and enhances operational efficiency in industrial environments. Additionally, the system supports data analytics and centralized monitoring, making it suitable for smart industrial facilities.

Keywords: IoT, Adaptive Lighting, Industrial Automation, Energy Efficiency, Sensors, Smart Lighting.

Downloads: | DOI: 10.17148/IJIREEICE.2026.14323