Dot Center Pixel Detector for Depth Sensing Power Reduction
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Solution Overview
Problem
Image sensing devices face challenges in reducing power consumption, particularly when acquiring depth images, as they often require significant power to operate separate light sources, especially in mobile devices.
Innovation Solution
A depth image sensing device and image signal processing method that includes a line memory for storing depth data, a dot center pixel detector to determine the dot center pixel with the highest intensity in each kernel, and a depth image generator to calculate distances using the dot center pixel data, effectively reducing power consumption by using dot pattern light and improving depth sensing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate light source is used to acquire depth images, then depth sensing capability is improved, but power consumption increases
Solution Approach 1:
The patent extracts and processes only the most relevant depth information by identifying dot center pixels with highest intensity in each kernel, rather than processing all depth data. This selective extraction reduces computational load and power consumption while maintaining depth sensing capability.
Solution Approach 2:
The patent applies local quality by focusing processing resources on specific regions of interest (dot center pixels) rather than uniformly processing the entire depth image. By identifying and processing only the highest intensity pixels in each kernel, the system optimizes power consumption while preserving critical depth information.
2Use of energy by moving object
If dot pattern light is used instead of full illumination, then power consumption is reduced, but depth sensing accuracy may be affected
Solution Approach 1:
The patent performs preliminary action by pre-identifying dot center pixels with highest intensity before full depth processing. This preliminary identification of key pixels ensures that subsequent processing focuses only on the most informative regions, maintaining measurement precision while reducing overall computational requirements and power consumption.
Solution Approach 2:
The patent replaces comprehensive mechanical processing of all depth pixels with a selective computational approach that identifies and processes only dot center pixels. This substitution of selective algorithms for exhaustive processing maintains accuracy while significantly reducing power consumption.
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 solution enables efficient and accurate depth sensing regardless of the scene, minimizing power consumption and enhancing the performance of depth image acquisition in image sensing devices.
Implementation Method 1
depth data, in units of a line group, generated by detecting a dot pattern light reflected from a scene
Data Source
AI summary
A depth image sensing device includes a line memory configured to store depth data, in units of a line group, generated by detecting a dot pattern light reflected from a scene, a dot center pixel detector configured to determine a dot center pixel having a highest intensity of depth data in each of a plurality of kernels included in the line group, and a dot data memory configured to store dot center pixel information including a position of the dot center pixel.