Dual-Pixel Array for Simultaneous Near and Far Gesture Detection
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Solution Overview
Problem
Conventional gesture recognition systems can only detect motion information at either near or far distances, failing to simultaneously detect gestures at both ranges, which limits their flexibility and accuracy.
Innovation Solution
A method and pixel array that utilize a combination of invisible and visible image sensing pixels, with a processing unit analyzing both types of images to detect motion information at multiple distance ranges, employing infrared light for enhanced near-distance detection and power-saving mode switching between detection modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional gesture recognition systems use single functional object detection, then detection simplicity is maintained, but detection range is limited to either near or far distance only
Solution Approach 1:
The patent combines invisible image sensing pixels and visible image sensing pixels into a single pixel array, enabling the system to detect both near-distance gestures (via invisible pixels) and far-distance gestures (via visible pixels) simultaneously, thus expanding the detection range without requiring separate detection systems
Solution Approach 2:
The pixel array is designed to perform multiple functions: invisible image sensing pixels detect near-distance gestures while visible image sensing pixels detect far-distance gestures. This multi-functional design allows a single device to handle various detection scenarios, improving adaptability across different distance ranges
2Use of energy by moving object
If the system switches between near distance and far distance detection modes, then power consumption is reduced, but detection continuity is interrupted
Solution Approach 1:
The patent implements continuous dual-mode detection where invisible image sensing pixels and visible image sensing pixels operate simultaneously and continuously. This eliminates detection interruptions and ensures continuous gesture recognition across all distance ranges, maintaining detection continuity without requiring mode switching
Solution Approach 2:
The processing unit dynamically allocates processing resources based on detected gesture positions. When near-distance gestures are detected, invisible image processing is activated; when far-distance gestures are detected, visible image processing is activated. This dynamic resource allocation reduces power consumption by avoiding continuous full-processing while maintaining detection continuity
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
Enables simultaneous detection of motion information at both near and far distances, improving gesture recognition accuracy and flexibility, while reducing power consumption by switching between detection modes.
Implementation Method 1
a pixel array is provided for detecting an image of a measured object located in a first distance range or in a second distance range, and the pixel array includes a plurality of invisible image sensing pixels and a plurality of visible image sensing pixels. Then, image detection is conducted within the first distance range by using the invisible image sensing pixels to output a plurality of invisible images
Implementation Method 2
the image detection within the second distance range is conducted by the plurality of visible image sensing pixels to output a plurality of visible images
Data Source
AI summary
A method for detecting motion information includes the following steps. First, a pixel array is provided for detecting an image of a measured object located in a first distance range or in a second distance range, and the pixel array includes a plurality of invisible image sensing pixels and a plurality of visible image sensing pixels. Then, image detection is conducted within the first distance range by using the invisible image sensing pixels to output a plurality of invisible images. Next, the image detection is conducted within the second distance range by using the visible image sensing pixels to output a plurality of visible images. Then, the plurality of invisible images and the plurality of visible images are analyzed by using a processing unit, so as to obtain motion information of the measured object. A pixel array for detecting motion information and an image sensor are also provided.