IR and Color Image Sensor Skin-Object Detection
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Solution Overview
Problem
Image sensors face interference from environmental light and background objects, which complicates the accurate detection of object images, as these interferences can obscure the object image and hinder determination.
Innovation Solution
A detection system equipped with both infrared and color pixels, where a processor generates IR and color pictures, identifies skin-color objects, and compares them to remove interference images from the IR picture, thereby isolating the object image effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the image sensor receives environmental light along with reflected light from the object, then the picture contains more light information, but the background intensity increases and interferes with object image determination
Solution Approach 1:
The patent segments the picture information into two distinct channels: infrared picture information from infrared pixels and color picture information from color pixels. By separating the detection of different wavelength ranges, the system can process and analyze each channel independently, allowing the infrared channel to capture object information without being overwhelmed by visible light background interference.
Solution Approach 2:
The patent introduces infrared radiation as an intermediary carrier for object information. By using infrared pixels to detect infrared radiation reflected or emitted by the object, the system creates an alternative detection pathway that bypasses the interference problem in the visible light range, where environmental light causes background saturation.
2Loss of information
If the picture includes the image of a reflective background object, then the picture contains more visual information, but the background object image interferes with object image determination
Solution Approach 1:
The patent applies segmentation by dividing the detection task into two wavelength-based segments: infrared detection for primary object identification and color detection for supplementary information. The infrared picture information is processed first to locate the object, and then the color picture information is used only to verify or supplement specific characteristics, preventing background objects from contaminating the primary detection results.
Solution Approach 2:
The patent applies local quality by using different detection modalities for different purposes: infrared detection provides uniform, interference-free object localization across the entire field of view, while color detection provides localized detail information only where needed (at the identified object location), rather than attempting to process all visual information uniformly.
3Device complexity
If the image sensor uses only color pixels, then the device structure is simpler, but the object image determination is adversely affected by environmental light and background objects
Solution Approach 1:
The patent merges infrared pixels and color pixels into a single integrated image sensor device. This combination allows the system to leverage the interference-rejection capabilities of infrared detection while supplementing it with the detailed color information from color pixels, achieving both structural integration and performance enhancement without requiring completely separate detection systems.
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 approach allows for precise object image detection by filtering out interference caused by environmental light and background objects, enhancing the accuracy of object tracking and gesture recognition.
Implementation Method 1
An image sensor usually has a plurality of sensing elements, which can convert light into voltages
Data Source
AI summary
A detection system including a light source, an image sensor and a processor is provided. The light source is configured to illuminate an object. The image sensor is configured to output a picture. The processor is configured to generate an IR picture and a color picture according to the picture captured by the image sensor, identify a skin-color object in the color picture and determine an object image in the IR picture according to the skin-color object.