Image color-based preset light matching algorithm for an electric vitrine

Recent advanced light systems offer presets to enable users navigate a proper light. Often, the are labeled with target ambiance or mood, yet ambiguous for predict This study proposes an algorithm that matches based on image color characteristics derived from photograph taken by users. In particular, we developed automatic match of preset electric vitrine in which 15 RGB LEDs were linearly arrayed beneath cover. We conducted creativity workshop eight designers and composed pool 22 vitrine. The attempted cover five standard illuminants, eleven chromatic lights, six kinds spectrum. enables receive optimally matched order hue similarities between displayed objects preset. Based stakeholders’ feedback, UX is designed provide three alternatives made up best color, illuminant, expect be applied different contexts, where needs tuned being aware context characteristics.