IoT Lighting Glare Adjustment Using Voice and Gaze Feedback

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Solution Overview

Problem

Voice user interfaces struggle to accurately distinguish between input commands and background conversation, leading to potential false inputs and erratic device behavior, especially in environments with multiple IoT light sources where glare issues need to be addressed.

Innovation Solution

A method that receives viewing environment data, including user position and light source information, and uses machine logic to simulate voice commands to identify the problematic light source causing glare by determining the location of the issue and adjusting the light sources accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If voice user interface is used to control IoT light sources, then ease of operation is improved, but reliability deteriorates due to false input from background conversation

Engineering Contradiction:

Improveease of operationVSAvoidreliability

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system uses camera feedback to capture the user's line of sight direction and compares it with the identified glare source location. This visual feedback mechanism verifies whether the voice command intent matches the actual glare problem location, preventing false inputs from background conversation while maintaining ease of voice-based operation.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If trial and error simulation is performed to identify glare source, then measurement precision is improved, but loss of time increases

Engineering Contradiction:

Improvemeasurement precisionVSAvoidloss of time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-captures the user's line of sight direction using the camera before executing the glare resolution. This preliminary action provides directional information that narrows down the search space for glare sources, reducing the number of trial and error simulations needed while maintaining precise identification of the problematic light source.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If multiple IoT light sources are monitored and adjusted, then adaptability is improved, but device complexity increases

Engineering Contradiction:

ImproveadaptabilityVSAvoiddevice complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system introduces a central processing device that acts as an intermediary between multiple IoT light sources and the user's voice commands. This intermediary coordinates the monitoring and adjustment of multiple light sources, managing the complexity centrally while allowing individual light sources to remain simple adaptive units that respond to coordinated control signals.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20230064654A1Computerized adjustment of lighting to address a glare problem

Publication Date: 2023.03.02 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Technology for use by a human user in a viewing environment that includes a plurality of Internet of Things (IoT) light sources. Responsive to a voice command from a human user, machine logic determines which Internet of Things (IoT) light sources (for example, fixed brightness lamps, adjustable brightness lamps, windows with adjustable covers or shades) are causing glare problem by simulating a voice command throughout the entirety of a viewing environment. Once the problem light source(s) are determined, then the lighting is automatically adjusted to fix the glare problem.