Application of Computer Vision Technology in Lighting Equipment Scene Adaptation and Brightness Adjustment
SUN Miao
Abstract：Traditional smart lighting control methods suffer from insufficient scene semantic understanding and inaccurate brightness adjustment,failing to meet the demand-based allocation requirements of modern lighting environments.This paper proposes a method utilizing computer vision to achieve intelligent lighting scene adaptation and brightness adjustment.A visual perception closed-loop control system is established,encompassing image acquisition,preprocessing,feature extraction,and command conversion.Employing object detection and behavior recognition technologies,we create parameterized adaptation models for diverse scenarios such as meetings,offices,and relaxation areas,defining standard illuminance levels(300 lx to 750 lx)and color temperatures(2700 K to 5000 K)for each context.We design an incrementally PID brightness adaptive adjustment algorithm based on visual quantification,incorporating a dead zone to prevent light intensity oscillations.
Keywords：visual technologylighting equipmentbrightness adjustment
Publication Date：2026-02-25
Online Publishing Date：2026-03-12(First online date of this platform, not the publication date of the document)
Pages：4( 80-83 )