Self-Calibrating Projection System Using LED Current and PWM Control
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Solution Overview
Problem
Advanced projection systems require complex calibration to account for manufacturing variances and environmental conditions, leading to manufacturing complexity and performance drift over time, which affects the accuracy and longevity of projected light quality.
Innovation Solution
A self-calibrating projection system equipped with sensors and a controller that continuously adjusts the spatial light modulator and illumination source based on ambient light, color temperature, and component aging, using pulse width modulation and current modulation to maintain target brightness and color ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If comprehensive calibration is performed to account for manufacturing variance, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The projection system performs self-calibration by automatically detecting its own optical parameters and adjusting control signals accordingly, eliminating the need for manual comprehensive calibration while maintaining manufacturing precision
Solution Approach 2:
The system dynamically adjusts control parameters based on detected manufacturing variances in LED color temperature and SLM performance, adapting to component variations without requiring complex pre-calibration procedures
2Manufacturing precision
If advanced optical technologies are used to achieve high resolution and contrast, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The system uses sensors to detect ambient light conditions and projected image quality, then feeds this information back to the controller which adjusts illumination and SLM parameters to maintain high resolution and contrast without increasing physical system complexity
Solution Approach 2:
The projection system dynamically adapts its optical parameters based on real-time environmental conditions and component performance, allowing advanced projection quality to be maintained through software control rather than fixed complex hardware configurations
3Reliability
If calibration is performed prior to leaving the manufacturer, then reliability is improved, but loss of time occurs during manufacturing
Solution Approach 1:
The system performs essential calibration actions automatically upon first use or when performance drift is detected, rather than requiring time-consuming manual calibration during manufacturing, thus maintaining reliability while reducing manufacturing time loss
Solution Approach 2:
The projection system autonomously performs calibration tasks using built-in sensors and control algorithms, eliminating the need for manufacturer-performed calibration and reducing the time lost during the manufacturing process
4Reliability
If the system adapts to environmental conditions and component drift, then reliability is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors ambient light conditions and LED color temperature drift, then automatically adjusts illumination intensity and SLM control signals to compensate for environmental factors and component aging, maintaining operational stability through automated feedback control rather than complex manual intervention
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system reduces manufacturing complexity and extends operational lifetime by ensuring accurate light projection according to specifications, adapting to environmental conditions and component drift, thereby maintaining high-quality image projection.
Implementation Method 1
using pulse width modulation and current modulation to maintain target brightness and color ratios
Implementation Method 2
using pulse width modulation and current modulation to maintain target brightness and color ratios
Data Source
AI summary
An example apparatus comprising: a controller configured to: access a content brightness map; determine an amplitude of a light emitting diode (LED) current based on the content brightness map, a target brightness, or a target color temperature; determine a pulse width modulation (PWM) sequence based on the content brightness map, the target brightness, or the target color temperature; determine an LED PWM signal based on the content brightness map, the target brightness, the target color temperature, or the amplitude of the LED current; transmit a signal indicating the LED current to an LED; transmit the PWM sequence to a spatial light modulator (SLM); and transmit the LED PWM signal to the LED.