Collaborative Lighting for Profile-Based Dark-Zone Illumination

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Solution Overview

Problem

Existing systems fail to efficiently provide targeted illumination of dark zones based on user preferences and profiles, particularly in transient conditions, such as those created by the presence or predicted presence of individuals or objects.

Innovation Solution

A network-based system that connects light sources with a controller via a network, allowing the controller to identify and instruct light sources to provide illumination based on user profiles, using sensors and cameras to detect dark zones and user preferences, and utilizing machine learning models to determine appropriate lighting features.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing systems provide illumination, then general lighting coverage is achieved, but targeted illumination based on user preferences and profiles is not efficiently provided

Engineering Contradiction:

Improvetargeted illumination based on user preferencesVSAvoidillumination provision efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system applies local quality by providing targeted illumination to specific dark zones identified through camera detection, rather than uniform lighting. The controller selectively activates light sources based on user profiles and detected locations, creating localized illumination zones that match individual user preferences and needs.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system implements self-service through automated detection and response. Cameras automatically detect dark zones and user presence, the controller retrieves user profiles and determines appropriate lighting features, and light sources are automatically activated without manual intervention, enabling the system to serve users autonomously.

Inventive Principle:

Principle #25Self-service

2Reliability

If illumination is provided in transient conditions, then user safety and comfort are enhanced, but system complexity increases

Engineering Contradiction:

Improvelighting condition reliabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system achieves universality by using a multi-functional architecture where cameras serve both detection and monitoring functions, the controller handles multiple tasks including profile retrieval, feature determination, and light source coordination, and light sources can serve multiple users and conditions. This consolidates complexity into a unified system rather than separate dedicated components.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements feedback through continuous camera monitoring of dark zones and user presence, which provides real-time information to the controller for adjusting light source activation. This closed-loop feedback ensures reliable lighting response to changing conditions while automating the complexity management.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250311075A1Detection and illumination of dark zones via collaborative lighting

Publication Date: 2025.10.02 SIMPLISAFE INC

AI summary

A processing system including at least one processor may detect at least one dark zone in a vicinity of a user, determine at least one lighting feature for an illumination of the at least one dark zone in accordance with a user profile of the user, identify at least one light source to provide the illumination of the at least one dark area in accordance with the at least one lighting feature that is determined, and transmit an instruction to the at least one light source to provide the illumination of the at least one dark zone in accordance with the at least one lighting feature that is determined.