Lighting Controller Music Transition Analysis
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Solution Overview
Problem
Existing lighting control systems fail to create a sense of exaltation during transitions between music piece sections, such as from the pre-chorus to the chorus, limiting the anticipation and engagement of the audience.
Innovation Solution
A lighting controller that analyzes music piece data to detect note-fractionated, level-varying, and fill-in sections, generating lighting control data to enhance the lighting effects during these transitions, including blinking lights for note-fractionated sections, increasing brightness for level-varying sections, and gradual drops for fill-in sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If lighting control data is generated based only on characteristic sections (verse, pre-chorus, chorus), then lighting can be synchronized with music construction, but a sense of exaltation and anticipation during transitions cannot be achieved
Solution Approach 1:
The patent segments the music piece analysis into multiple hierarchical levels: characteristic sections (verse, pre-chorus, chorus) and within-section features (note-fractionated sections, level-varying sections, fill-in sections). This multi-level segmentation allows the system to capture both macro musical structure and micro transitional details, enabling lighting effects that synchronize with both overall music construction and specific transitional moments that create anticipation and exaltation.
Solution Approach 2:
The patent applies preliminary action by detecting note-fractionated sections, level-varying sections, and fill-in sections in advance during the music analysis phase. These detected sections are stored as transition information that guides lighting control before the actual performance. By pre-identifying transitional passages and preparing corresponding lighting effects, the system can create anticipated exaltation moments without real-time computational delays.
2Reliability
If dedicated lighting staff manually control lighting to match music piece, then accurate stage effects can be achieved, but high costs and unavailability for small events occur
Solution Approach 1:
The patent implements self-service by enabling the lighting control system to automatically analyze music piece data, detect characteristic sections and transitional features, generate appropriate lighting control data, and execute lighting effects without human intervention. The system processes music construction information (tempo, key, time signature) and audio signals autonomously to create synchronized lighting effects, eliminating the need for dedicated lighting staff while maintaining accurate music-matching stage effects.
Solution Approach 2:
The patent replaces the mechanical system of manual lighting control by dedicated staff with an automated computational system. The system uses computer-based music analysis algorithms to process music piece data and audio signals, automatically generates lighting control data based on detected musical features, and controls lighting fixtures through digital communication protocols, substituting human manual operation with automated mechanical and computational processes.
3Productivity
If existing lighting patterns are applied to characteristic sections, then basic lighting synchronization is achieved, but transitional effects that build anticipation cannot be created
Solution Approach 1:
The patent applies local quality by assigning different lighting control strategies to different types of sections within the music piece. Characteristic sections (verse, pre-chorus, chorus) receive lighting patterns matched to their musical characteristics, while specific transitional subsections (note-fractionated sections, level-varying sections, fill-in sections) receive specialized lighting effects designed to create anticipation and exaltation. This localized differentiation allows the system to maintain overall synchronization efficiency while enhancing specific transitional moments with appropriate atmospheric lighting effects.
Data Source
AI summary
A lighting controller configured to control a lighting fixture based on music piece data in which characteristic sections that characterize a music construction are allocated includes: a transition information acquisition unit configured to obtain transition information for each of the characteristic sections in the music piece data; a note-fractionated-section analyzing unit configured to analyze the characteristic section(s) in the music piece data to detect a note-fractionated section where a note is fractionated with progression of bars; and a lighting control data generating unit configured to generate lighting control data based on the transition information obtained by the transition information acquisition unit and the note-fractionated section detected by the note-fractionated-section analyzing unit.