|
|
|
|
|
Anderson Silva Vanin and Peterson Belan
This study showcases the optimization of public lighting systems using computer vision with an emphasis on the YOLO algorithm for pedestrian detection, aiming to reduce energy expenses. In a time when the demand for electricity is escalating due to facto...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fabiana Cañipa,Fabio Arnez,Omar Ormachea,Alex Villazón,Armando Rivero,Gian Carlo Dozio,Erick Escobar
Conventional street lighting systems do not allow controlling the light intensity depending on the traffic of pedestrians or vehicles, only operate in two automatic modes (on/off) according to the availability of daylight and consume enormous amounts of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Richard Mistrick, Craig Casey, Ling Chen and Sarith Subramaniam
This article presents a variety of different approaches to both model and assess the performance of daylight-integrated electric lighting control systems. In these systems, the output of a controlled lighting zone is based on a light sensor reading and a...
ver más
|
|
|
|
|
|