Dynamic Projected Image Color Correction for Non-Conventional Surfaces
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Solution Overview
Problem
Projection technologies struggle to accurately project images onto non-conventional surfaces such as human hands or patterned surfaces, resulting in incorrect image coloration.
Innovation Solution
A system comprising a processor, memory, and a light sensor that dynamically adjusts the color of projected images based on the sensed color of the surface, using a processor to receive input from a light sensor and alter image colors accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If projection technology is used on non-conventional surfaces, then versatility is improved, but image color accuracy deteriorates
Solution Approach 1:
The system uses a light sensor to detect the actual color of light reflected from the projection surface, compares it with the original image color data, and automatically adjusts the projected image colors to compensate for surface coloration. This closed-loop feedback mechanism enables accurate color projection on surfaces of any color without manual calibration.
Solution Approach 2:
The system dynamically changes the color parameters of the projected image based on the detected surface properties. By adjusting the color values in real-time according to the surface color feedback, the system maintains image color accuracy across diverse projection surfaces including hands, patterned surfaces, and colored walls.
2Measurement precision
If dynamic color adjustment is implemented, then image color accuracy is improved, but device complexity increases
Solution Approach 1:
The projector integrates multiple functions into a single device: it projects images, detects surface color through built-in light sensors, processes color correction algorithms, and outputs corrected images. This multi-functionality eliminates the need for separate calibration devices and simplifies the overall system while maintaining high color accuracy.
Solution Approach 2:
The projection system performs automatic self-calibration by using its own projected light as the illumination source for the light sensor. The system independently detects surface color, calculates corrections, and adjusts its output without requiring external calibration tools or manual intervention, thereby reducing system complexity.
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
Ensures accurate and correct image coloration on various surfaces by dynamically adjusting image colors in real-time, enhancing the usability of projection technologies on unconventional display surfaces.
Implementation Method 1
receive from a light sensor a sensed correction input generated by light reflected off a surface
Data Source
AI summary
The color of a projected image is dynamically corrected by sensing the color of the surface onto which the image is projected before the image is projected, and/or sensing the color of the surface between frames of the projected image, and/or by sensing the projected image as it is displayed on the surface and comparing what is sensed to the original image. Corrections to the color of the projected image are then made based on the sensed information from the surface onto which the image is projected.