Next-Gen Smart Street Illumination System: An Adaptive and Energy-Efficient Approach to Street Lighting

Next-Gen Smart Street Illumination System: An Adaptive and Energy-Efficient Approach to Street Lighting

Preksha Chaturvedi , Riya Pandey , Nidhi Saxena

Department of Computer Applications,

Babu Banarasi Das University,

Lucknow, India

Abstract- The increasing urbanization of cities has increased demand for affordable, environmentally friendly, and efficient street lighting solutions. Conventional street lighting systems often lead to unnecessary energy waste since they operate at maximum intensity regardless of real usage patterns. The " Next-Gen Smart Illumination System" uses motion sensors, energy-efficient LED lights, and intelligent control algorithms to get around these problems.

This system uses motion detecting technology to dynamically change the streetlights' lighting intensity.

IoT connectivity integration allows for remote management and real-time monitoring, which facilitates fault detection, usage analytics, and maintenance optimization.

Energy efficiency and intelligent automation are combined in this system to minimize carbon footprints, improve public safety, and guarantee ideal lighting conditions. It is in line with the worldwide objectives of energy conservation and smart city development, and it is a step forward in sustainable urban infrastructure.

Keywords: Energy- efficient lighting, Motion detection, public safety, Smart control Algorithm, IoT connectivity, Dynamic lighting, Energy conservation.