Vehicle Light Synchronization With External Light Shows
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Solution Overview
Problem
Existing methods for enhancing home decoration with vehicle lights are limited and inefficient, lacking innovative ways to synchronize and optimize energy consumption.
Innovation Solution
A vehicle system that uses AI/ML-based image processing to emulate or complement external home lights, optimizing energy use by adjusting illumination based on battery state, presence of users, and ambient conditions, and extending the light show to trailer and additional lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If vehicle lights are used to enhance home decoration, then visual appeal is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic illumination patterns that synchronize with external light shows, activating vehicle lights in rhythmic sequences rather than continuous operation. This reduces overall energy consumption while maintaining visual impact through timed illumination events.
Solution Approach 2:
The system dynamically adjusts illumination parameters (intensity, duration, pattern) based on battery state of charge levels. When energy is abundant, higher intensity and longer duration illumination is provided; when energy is limited, parameters are reduced to conserve power while still providing decorative functionality.
2Adaptability or versatility
If vehicle lights are synchronized with external lights, then decorative effect is improved, but system complexity increases
Solution Approach 1:
The system uses cameras to capture external light show patterns and feeds this visual information back to the control processor. The processor analyzes the captured patterns and automatically generates synchronized illumination responses, creating a closed-loop system that adapts to external lighting conditions without requiring complex pre-programming.
Solution Approach 2:
The system autonomously detects, analyzes, and responds to external light shows without requiring manual configuration or complex user input. The vehicle's computational resources and sensors self-manage the synchronization process, reducing the need for complex external control systems or user intervention.
3Loss of energy
If intelligent energy optimization is implemented, then energy efficiency is improved, but control system complexity increases
Solution Approach 1:
The control system continuously monitors battery state of charge levels and uses this feedback to dynamically adjust illumination decisions. This simple feedback mechanism enables intelligent energy optimization by automatically reducing or eliminating light activation when energy levels are low, without requiring complex predictive algorithms or user input.
Solution Approach 2:
The system autonomously manages its own energy consumption by monitoring its power state and making independent decisions about when to activate illumination features. This self-service approach to energy management simplifies control complexity compared to systems requiring external power management or complex user configuration.
Data Source
AI summary
A vehicle including a detection unit and a processor is disclosed. The detection unit may be configured to capture inputs associated with an external light being illuminated in proximity to the vehicle. The processor may be configured to obtain the inputs from the detection unit, and determine an illumination characteristic associated with the external light based on the inputs obtained from the detection unit. The processor may further actuate a vehicle light to illuminate based on the illumination characteristic.


