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

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.

Authors

Institutions

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-23
DOI
https://doi.org/10.55041/ijsrem39985
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Pradeep Kumar Chaturvedi, R. M. Pandey, Nidhi Saxena
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Impact of Light on Environment and Health
article

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

Pradeep Kumar Chaturvedi, R. M. Pandey, Nidhi Saxena
article en

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Babu Banarasi Das University (IN)
Openalex Percentile: Top 79%
Impact of Light on Environment and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.