Touch Sensor Photosensor Contact Area Detection
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Solution Overview
Problem
Existing touch sensors and panels face malfunctions and prolonged input detection times due to inefficiencies in detecting object inputs, particularly human fingers, which are affected by variations in color and lighting conditions.
Innovation Solution
Incorporating photosensors in a touch panel with an image processing system that converts RGB values to HSV, applies binarization, noise filtering, and labeling processes to accurately calculate the contact area and detect inputs based on threshold values, enabling precise and rapid input recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional touch detection methods are used, then the touch sensor can detect inputs, but malfunctions occur and detection time is prolonged due to variations in object color and lighting conditions
Solution Approach 1:
The patent converts color data from RGB color space to HSV color space, which separates hue, saturation, and brightness components. This parameter transformation allows the system to focus on hue differences (which represent color changes due to finger contact) while being less sensitive to lighting variations (affecting brightness). The binarization process further transforms continuous color values into discrete categories, enhancing the distinction between contacted and non-contacted regions.
Solution Approach 2:
The patent replaces conventional touch detection mechanisms with an optical detection system using photosensors and image processing. Instead of relying on mechanical pressure sensors or capacitive changes, the system uses optical properties (color changes) of the finger to detect touch inputs, thereby eliminating malfunctions associated with mechanical wear and electrical interference.
2Measurement precision
If simple touch detection is used, then the device structure remains simple, but detection precision is insufficient due to color variations and lighting conditions
Solution Approach 1:
The patent segments the color data processing into distinct stages: RGB to HSV conversion separates color attributes into independent components (hue, saturation, brightness), binarization divides the image into contacted and non-contacted regions, and noise filtering separates actual touch signals from spurious variations. This segmentation allows each processing stage to focus on specific aspects of touch detection, improving precision while managing complexity through modular processing.
Solution Approach 2:
The patent introduces HSV color space as an intermediary representation between the raw RGB sensor data and the final touch detection result. This intermediary format provides a more suitable framework for analyzing color changes due to finger contact, as the hue component directly reflects color variations while being independent of lighting intensity. The intermediary processing steps (conversion, binarization, filtering) act as mediators that transform complex raw data into reliable touch information.
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
This solution effectively suppresses malfunctions and shortens input detection time by accurately differentiating and processing contact area data, enhancing the reliability and speed of touch input detection.
Implementation Method 1
a photo diode provided in a pixel as a photosensor... detecting light reaching a display screen with a photosensor
Data Source
AI summary
It is an object to suppress malfunction of a touch sensor, a touch panel, and a device using them by accurate determination whether inputting is performed or not. In addition, it is also an object to enhance the response speed of the determination. A touch panel including a plurality of pixels having photosensors and an image processing portion are included. The photosensor forms a contact image of a portion of an object which touches the touch panel. The image processing portion calculates the area of the contact portion from color data of the contact image and determines on the basis of the area whether inputting to the touch panel is performed or not.


