Author-uploaded preprint · December 2017
A camera-based lighting-control concept that responds to road activity and vehicle density.
Authors: Sayan Mondal.
Research question
The preprint explores how road-camera observations can inform street-light operation. The goal is to reduce unnecessary illumination while retaining useful visibility as road activity changes.
Approach
Camera images supply observations of road workload or vehicle density. Image processing and a control algorithm use that activity information to adjust the lighting configuration. The contribution is a proposed adaptive control concept.
Evidence and scope
ResearchGate dates the preprint to December 2017; the author uploaded the displayed full text in July 2020. Those dates describe different events. The public record provides a DOI and manuscript, but does not establish a peer-reviewed venue.
The intended benefits are reduced energy use and continued road visibility. This page does not claim a measured energy-saving percentage or a validated improvement in road safety. Weather, camera visibility, and control response would matter in deployment.
Sources and citation
Sayan Mondal. Smart Street Light Control System Using an Algorithm and Image Processing. Author-uploaded preprint · December 2017.
Source records checked on 28 October 2026. This overview distinguishes the publication’s stated goals from measured outcomes.
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